As international trade protectionism continues to rise, and the pandemic has been restructuring domestic and foreign industrial chains,the Chinese manufacturing industry is facing increasing domestic and foreign constraints,and China's economy is moving into a period of "structural deceleration" from a period of "structural growth". It is essential to promote the quality, efficiency and motivation transformation of China's economic development. In recent years, China has vigorously promoted the development of new-generation digital technologies such as Internet+, big data, quantum computing and artificial intelligence, as well as the construction of digital infrastructure, so as to accelerate the implementation of the strategy of strengthening network power and seize new opportunities for the development of the digital economy. The development of a new generation of digital technology and the construction of digital infrastructure do not only involve an all-round, all-angle, full-chain dynamic transformation of enterprise R&D and design, production and sales, warehousing and logistics, and management decision-making, but also open up the information flow, business flow and capital flow between the industrial chain and the upstream and downstream of the supply chain, promoting the integration and coordinated development of the industrial chain and supply chain, and further play the role of digital technology and digital infrastructure in speeding up China's economic development. It is beyond dispute that the development of digital technology and digital economy has greatly promoted China's economic development. However, there are few relevant empirical studies on whether the digital transformation of manufacturing enterprises can promote their total factor productivity at the micro level. Further, the mechanism of action is not fully explored.#br#In this context, from the analytical perspective of resource allocation efficiency, this paper takes supply chain operational efficiency and investment efficiency as proxy variables of resource allocation efficiency to conduct an empirical study on the relationship between enterprise digital transformation and enterprise total factor productivity. The study firstly sorts out the relevant literature and related theories to analyze the mechanism of enterprise digital transformation on the enterprise total factor productivity and constructs the analysis framework of digital transformation of enterprises—resource allocation—total factor productivity. Secondly, it takes China's A-share listed manufacturing companies from 2011 to 2020 as research samples and builds a digital transformation index based on the frequency of keywords related to digital transformation in the companies, annual reports. Thirdly, drawing on the panel fixed effect model, the study empirically tests the impact and mechanism of the digital transformation of enterprises on their total factor productivity. In addition, it conducts a heterogeneity analysis and associated economic consequences analysis based on firm characteristics and regional characteristics. Finally, relevant policy recommendations are put forward from the perspective of the government and enterprises.#br#The findings of this paper are as follows. First, the empirical research shows that the digital transformation of enterprises has significantly improved the total factor productivity of enterprises, and this empirical result is robust. Second, in terms of the mechanism, digital transformation of enterprises can promote the improvement of total factor productivity of enterprises by improving the efficiency of resource allocation. Specifically, digital transformation improves the total factor productivity of enterprises by improving the efficiency of enterprise supply chain operations and correcting excessive investment to improve investment efficiency. Third, for high-tech enterprises and the eastern and southern regions, the digital transformation of enterprises has a greater effect on improving the total factor productivity of enterprises.#br#The research conclusions of this paper advance the understanding of the relationship between digital transformation and total factor productivity of enterprises, and expand the theoretical analysis framework for the deep integration of digital technology and the real economy. Meanwhile, the research conclusions of this paper provide new empirical evidence for understanding the economic effects of enterprise digital transformation and provide important policy implications for consolidating the micro-foundation necessary for high-quality economic development.#br#

The digital economy has become an important driving force for global economic growth, and it has been promoting the high-quality development of society. As the main body of market micro-economic activities, enterprises are the key factors to achieving high-quality development of the macro-economy. With the digital transformation becoming the consensus of current enterprise development, relying on digital technology to gradually realize the integration of the three dimensions of “automation”, “informatization” and “digitalization” has become the path for high-quality enterprise development.#br#At present, scholars’ discussions on the factors affecting the high-quality development of micro-enterprises mainly focus on the external factors. With respect to the research on the impact of digital transformation on efficiency, some scholars believe that digital transformation of enterprises can optimize enterprise structure, improve enterprise efficiency and improve enterprise performance through technology empowerment, but few studies discuss the impact of digital transformation on the high-quality development of enterprises. Therefore, from the perspectives of value benefit and environmental uncertainty, this paper links digital transformation with the high-quality development of enterprises, and provides new insights for promoting high-quality development of micro-enterprises. Given the above-mentioned research deficiencies and corporate practice background, this paper selects 3 541 A-share listed companies from 2010 to 2020 to conduct econometric model research. With a deep analysis of the impact of corporate digital transformation on the high-quality development of enterprises, it discusses the driving mechanisms of corporate innovation and corporate risk taking, and examines the heterogeneity of enterprise internal and external environment.#br#The findings show that,firstly,the digital transformation of enterprises has significantly promoted the high-quality development of enterprises. In particular, the digital transformation of enterprises has asymmetric effects on the high-quality development of enterprises with different enterprise attribute characteristics. Secondly,the digital transformation of enterprises can improve information asymmetry, optimize enterprise decision-making, and improve enterprise performance by promoting enterprise innovation and enterprise risk-taking capacity, all of which contribute to the high-quality development of enterprises. Thirdly,the effects of enterprise digital transformation vary in different situations. Companies with a lower internal control level, higher employee education level, higher shareholding ratio of institutional investors and a lower degree of marketization are more likely to promote the high-quality development of enterprises through digital transformation.#br#The incremental contributions of this paper are as follows. (1) This study enriches relevant literature on the consequences of the digital transformation of the economy. From the perspective of high-quality enterprise development, it empirically examines the relationship between enterprise digital transformation and high-quality enterprise development, providing a new perspective for an in-depth understanding of the economic consequences of digital transformation. (2) The study makes up for the literature on the factors affecting the high-quality development of micro-enterprises. The existing research on the factors affecting the high-quality development of micro-enterprises mostly focuses on the external factors of enterprises, and this study discusses the role of digital transformation as an internal factor in the high-quality development of enterprises from a micro perspective, and provides new ideas and insights for achieving high-quality economic development. (3) It innovatively synthesizes the comprehensive indicators of high-quality development of enterprises using the principal component analysis method based on the “two benefits and four rates” proposed by the State-owned Assets Supervision and Administration Commission of the State Council, and improves the reliability and accuracy of the enterprise high-quality development scale.#br#The implications arising from this study are threefold. First of all, the focus of high-quality enterprise development should be on their innovation capability, resource allocation efficiency and risk response ability. Enterprises should combine their strategic objectives with digital objectives, and achieve high-quality development by integrating business processes and digital technologies. Second, state-owned enterprises should fully grasp the opportunity of digital transformation, recognize the blue ocean effect of digital transformation on state-owned enterprises, and actively explore the digital transformation of state-owned enterprises in advance to achieve high-quality development of state-owned enterprises. Third, in the process of implementing digital transformation, enterprises should take their environmental advantages to promote the effect of digital transformation, and achieve high-quality development.#br#

Data has become an independent factor of production and a new driving force for high-quality economic development.Constructing an economic growth model including data elements and accurately measuring the contribution of each production factor are of great significance to solve the source of economic growth in the era of digital economy.However, how to introduce data into production as a separate factor has become an important yet unsettled issue to promote data into factor of production and release the value of data elements.#br#This paper follows the following ideas to solve the above problems.Firstly,it takes data into factor of production from the perspective that “pure digital assets and data matching input jointly constitute input of data elements”.A comprehensive index system of data matching input is constructed based on the principle that “hardware, software and network jointly complete the basic functions of computer storage, calculation and connectivity”.The global principal component analysis score of data matching input by province is used to analyze the spatial-temporal distribution characteristics of data elements.This paper deals with the relationship between “pure digital assets” and “data matching input” by referring to the similarity between data resources and human capital, which has certain reference significance for the quantitative analysis of data elements.Secondly, a three-factor economic growth model including data elements is constructed to analyze the productivity effect of the input of data elements.The interaction of production factors is also analyzed to understand the synergy of production factors in highly integrated industries.Thirdly, this paper analyzes the conditions for data into factor of production from the heterogeneity of the productivity effect of data matching input.Considering the integrity of “pure digital assets”, network externality and production spillover effect, it is believed that the degree of economic integration has an important impact on the conditions for data into factor of production.The above conclusions have also been proven by the econometric analysis.#br#In summary, this research understands data from the perspective of an independent factor of production,and analyzes the characteristics of data elements and the conditions for data into factor of production.Because of the virtual characteristics of data and the general fact of bundled pricing of data with matching input, the input of data elements is mainly reflected in data matching input.There are obvious regional differences in the input of data elements, which do not completely coincide with the traditional division of regions in China.Developed provinces have established leading advantages in absolute level and growth rate.The leading provinces are not completely adjacent geographically, which is inconsistent with the regional agglomeration characteristics of traditional production factors, but verifies the “virtual agglomeration” characteristics of new production factors in the digital economy era.The productivity effect of data elements is jointly realized by data matching input and pure digital assets, and the empirical research shows that China has already overcome the “ICT productivity paradox”.The productivity effect of data matching input in China has been fully verified and it is of practical significance to promote the construction of data-related infrastructure.On the basis of its positive effect on economic output, it also has an important impact on the coordinated development of regional economies in the context of the digital divide.The accelerated substitution of data elements for capital input is proven, changing the interaction mechanism between production factors.The use of new factors of production promotes fundamental changes in the mode of production, and factor allocation efficiency plays an important role in the productivity effect of production factors.#br#This paper explains the conditions for data into factor of production theoretically.The integrity of data resources is an important condition for their productivity effect.The function of data resources is supported by its network infrastructure and it has significant production spillover and innovation spillover effects for its widespread existence on the Internet.Given the above reasons, connectivity and economic integration have an important impact on the productivity of data elements and have proven to be important condition for data into factor of production.This research suggests that the confirmation of data right and rational allocation of production factors can promote industrial innovation and high-quality economic development.#br#

Organized scientific research serves as an important form that facilitates technological institutionalization within universities and systematically caters to the national strategic needs for scientific and technological innovation. As such, it constitutes a multifaceted and significant systematic undertaking that involves various entities, including government, market, and academia. Multiple institutional logics, namely those of the state, market, and academia, shape its development. Currently, academic research on organized research can be categorized into three strands. The first comprises case studies, which center on remarkable instances of domestic universities transforming their research paradigms and reforming their systems and mechanisms for organized research. The second consists of theoretical research, which concentrates on knowledge production models, organizational models, response mechanisms, and problem-solving in the context of organized research. The third involves comparative research, which largely focuses on case studies of major developed countries, international research institutions, or world-class universities, with an emphasis on extracting best practices. While existing studies have provided profound analysis of key areas and exemplary cases of organized research through diverse lenses, an integrated perspective that holistically examines the heterogeneous actors, institutional mechanisms, research paradigms, and organizational models remains lacking. Therefore, this study introduces the theory of symbiosis into the practice of organized research, furnishing a theoretical framework to systematically conceptualize the diverse actors and their mechanisms of action, while unlocking the practical pathway for organized research. Through examining the value implications and practical trajectories of organized research across multiple dimensions including symbiotic units, modalities, interfaces, and environments, identifying prevailing risk factors, and proposing countermeasures and recommendations, this study aims to furnish novel perspectives on reinforcing organized scientific inquiry.#br#The concept of symbiosis was originally proposed in biology by German scientist Anton de Bary to describe mutually beneficial relationships between different organisms. Subsequently, this notion rapidly diffused into the humanities and social sciences, gradually being applied in disciplines such as economics, political science, sociology, and education thereby forming a new methodology and system of values. Through continuous development and refinement by scholars including Famintsim and Protoaxis, symbiotic theory now underscores the associations of co-survival, co-evolution, or mutual inhibition among different species and genera. In a symbiotic environment, symbiotic units can form ecological relationships through particular symbiotic modalities and interfaces. Within the symbiotic system, the symbiotic unit constitutes the primary entity; the symbiotic mode refers to the cooperative formulations between the units; the symbiotic interface serves as the regulatory mechanism; and the symbiotic environment represents the exogenous factors impacting the system. The interplay between these four components facilitates the formation and functioning of the symbiotic system.#br#Guided by symbiotic theory, this study identifies four categories of risks in organized research. First, government, enterprises, universities, and research institutions diverge in their goal orientation for knowledge production and transformation, as well as in the organizational characteristics of knowledge generation. Second, from an organizational standpoint, continuous and integrated symbiotic models of organized research have yet to become widespread. Likewise, from a behavioral angle, the mutually beneficial symbiotic patterns of organized research require further optimization. Third, regarding incentive mechanisms, several problems exist, including insufficient focus on incentive targets, limited diversity in incentive methods and subjects, and inadequate coordination of incentive measures. Concurrently, issues persist involving insufficient mission-oriented national incentives, a weak sense of gain among frontline scientific and technological personnel and teams, and insufficient guarantees for the growth environment of young researchers. With respect to the regulatory mechanisms, excessive concentration of power and prolonged regulatory chains prevail. Regarding evaluation mechanisms, deficiencies include a lack of long-term assessment, redundant and repetitive evaluation activities across multiple levels, limited evaluation tools and methodologies, and imperfections in peer review systems. Fourth, at the policy environment level, targeted supporting policies and implementation methods are lacking. In the market environment, obstructed cooperation among government, industry, academia, and research institutes exists alongside low conversion rates of scientific and technological achievements. At the cultural environment level, disciplinary insularity can engender information blocking, repetitive projects, and weakened creativity. In response, it is imperative to innovate diversified research organization models combining centralized and free exploratory efforts, promote the formation of continuous, integrated, and mutually beneficial symbiotic patterns, improve incentive, regulatory and evaluation mechanisms, and foster favorable policy, market, and cultural environments.#br#

Military-civil fusion is a vital grip to promote national defense strength and economic development synergistically, as well as a core issue to consolidate and enhance the holistic national strategic system and capability.China's military-civil fusion development has entered a senior stage, reflecting the trend of intelligent warfare patterns and the generalization of military and civilian technologies.The need to further strengthen the capability of the national defense S&T industry is highly stressed by the government.Therefore, this study proposes to build a military-civil fusion innovation consortium (MCF-IC) with the goal of S&T self-reliance and self-improvement as well as a national S&T security mission so as to complete and improve the construction of the military-civil fusion innovation system.#br#There are some critical challenges in China's military-civil fusion collaborative innovation.First, there is a severe separation between the military and the regional innovation systems.Information barriers hinder the connection between military and civilian innovation subjects.Second, the institutional cost for private enterprises to participate in military-civil fusion collaborative innovation is high, and they must go through a long process of stringent qualification review.Meanwhile, relevant research institutes and laboratories lack sufficient attention to technology commercialization, obstructing the application and industrialization of frontier technologies.Finally, there is a more pronounced lack of willingness among enterprises in the military industry to actively collaborate with private enterprises on technology commercialization.The lack of an adequate context as a carrier to bring together innovation subjects impedes defense innovation development.#br#The MCF-IC is a new organizational model that can solve the above problems in the current military-civil fusion collaborative innovation practice.With the mission of strengthening S&T security to guarantee national and economic security, it is based on mission-oriented innovation and holistic innovation theory, and led by the strategy of building a modern, powerful socialist country.It is supported by a new national innovation ecosystem and efficiently coordinated by multiple innovation subjects from industry, academia and research.It is a typical high-level innovation consortium formed with organized R&D.#br#Unlike the existing military-civil fusion collaborative innovation, the MCF-IC responds to two important strategic needs in the new development stage: the construction of an innovation powerhouse and the bottom-line requirements for secure development.It addresses a series of problems faced by the current military-civil fusion collaborative innovation.In terms of the theoretical foundation, it has been changed from the theory of collaborative innovation to mission-oriented innovation and holistic innovation which are aimed at solving the existing information barriers and collaborative obstacles.The major issues in focus have been converted from traditional national security to new national security, responding to the needs of the era and the strategic connotation of the senior stage for military-civil fusion.In terms of the relationship characteristics of innovation subjects, they bave been shifted from a loosely coupled model to a tightly coupled and co-evolution model with context-driven as the core, which enhances the integration level of innovation capability.As for the driving mechanism, it has been turned from the profit-oriented market mode to the mode of organized R&D, which solves the problem of dynamism and improves the efficiency of S&T innovation output.On the structure, the MCF-IC has the systemic structural characteristics of an innovation ecosystem.Specifically, a typical MCf-IC includes an original innovation supply system composed of national laboratories, high-level research universities and national research institutions, an ecological system for MCF technology commercialization by the integration of leading S&T enterprises and hidden champions, and a regional innovation center or MCF innovation demonstration zone that brings together innovation resources.#br#Operationally, this study breaks the dichotomy between the military and civilian sectors and transforms national strategic needs into specific contexts and goals for innovation.By integrating innovation subjects and strategic resources in both military and civil fields, the MCF-IC drives the breakthroughs in basic research in frontier fields and develops strategic industries.It takes S&T security as the core, safeguards national defense security, economic security and other security, accelerates the modernization of the national security system and capability, and guarantees the new development pattern with a new security pattern.#br#

In order to promote the sound development of emerging technologies and the good behavior of scientific and technological innovation with an efficient governance paradigm, it is essential to emphasize and effectively strengthen the research on ethical risk management of emerging technologies. According to the existing research, the ethical risks of emerging technologies refer to the ethical negative effects between man and himself, between man and man, between man and society, and between man and nature caused by the inherent complexity and high uncertainty of emerging technologies and the multiple influences of external factors, such as social order disorder, human subject threat and ecological environment destruction. The ethical risks of emerging technologies have the following basic characteristics: the unity of variability and controllability, the coexistence of objectivity and subjectivity, strong complexity and subversion. At present, the manifestations of ethical risks of emerging technologies include technology security, infringement of individual rights and interests, social fairness and justice, and threats to the ecosystem. Ethical risks of emerging technologies are mainly caused by the high uncertainty of emerging technologies, people's insufficient cognition and response to ethical risks of emerging technologies, some scientific and technological innovation workers and enterprises driven by utilitarianism of economic interests, and the violation of traditional ethics and moral norms. Due to the influences of the above multiple factors, there are some practical problems in the ethical risk management of such complex and highly uncertain emerging technologies. It is mainly manifested as a lack of awareness of risk prevention and relatively backward governance concepts, weak strength and insufficient coordination of governance subjects, outdated and single governance means,an overemphasis on results-oriented governance in governance process, and the scope of governance still needs to be further expanded.#br#By referring to the paradigm of collaborative governance and starting from "governance concept, governance subject, governance means, governance process and governance scope", this paper proposes a new path of collaborative governance of ethical risks in emerging technologies to realize the transformation from single decentralized management to multiple collaborative governance. It puts forward the following countermeasures and suggestions for the study of ethical risk management in emerging technologies. (1) It is critical to foster the concept of collaborative governance and focus on improving people's well-being. In the process of ethical risk management of emerging technologies, it is important to hold the view of collaborative governance instead of the single decentralized management, and adhere to the "people-centered" development concept to formulate scientific and technological ethical principles and carry out scientific and technological innovation activities. (2) The participation of multiple entities under the leadership of the government is expected so as to promote the collaborative governance among multiple governance entities. (3) It is of practical significance to take a combination of "hard means" and "soft power" to strengthen the construction of science and technology ethics system for emerging technologies, and actively implement the ethical risk publicity of emerging technologies. (4) It is pivotal to focus on forward-looking governance studies and implement the whole process of ethical risk management. (5) Cooperation among multiple academic fields should be warranted to move towards the ethical governance of global science and technology.#br#Compared with the existing studies, this paper takes emerging technologies as the research objects and conducts research on ethical risk governance, breaking through the limitations of ethical risk governance studies on a certain emerging technology in previous studies, such as artificial intelligence technology and big data technology, and provides macro-guiding significance for the ethical risk governance in the whole field of scientific and technological innovation. In addition, this paper introduces the collaborative governance theory and adopts the collaborative governance paradigm to construct a new collaborative governance system for ethical risk management of emerging technologies against the "single and decentralized" problems existing in ethical risk management of emerging technologies at the present stage, which improves the scientific nature and effectiveness of ethical risk management of emerging technologies.#br#

The Chinese government has been striving to achieve the“double carbon” goal since 2020. Enterprises are the main body of the market economy, and their attitudes towards green transformation and sustainable development have a profound impact on the realization of the "double carbon" Goal. However, under practical constraints such as shortage of funds, shortage of talents and lack of resources, the contradiction between economic profits and the cost of green development is deepening, and it is difficult to carry out green transformation. How to explore the effective path of enterprises' green transformation under the "double carbon" Goal has become a hot issue. Meanwhile, digital transformation that emphasizes the application of digital technology has become an indispensable key point for development. So, can digital transformation promote the further improvement of enterprise green performance? Can digital transformation provide new ideas and methods for the smooth realization of the "double carbon" Goal?#br#In order to explore the relationship between digital transformation and enterprises' social responsibility performance, this study selects the environmental, social, and governance (ESG) concepts for analysis because they meet the requirements of low-carbon development. Taking 2 909 A-share listed companies from the Huazheng ESG reports from 2012-2021 as samples, the study examines the impact of digital transformation on enterprises' ESG responsibility performance and its mechanism. The results show that digital transformation can improve the ESG performance of enterprises, especially in the aspects of environmental and social responsibility, and cloud computing technology has the most outstanding contribution to ESG performance. In addition, the improvement of enterprises' digital transformation can promote financial performance, curb risk levels, and enhance green technology innovation, which will contribute to the improvement of ESG responsibility performance, while the impact of digital transformation on ESG performance is heterogeneous. The ESG performance of state-owned enterprises, mature enterprises and heavy-polluting enterprises is more sensitive to digital transformation. Thus, it is advocated that at the enterprises level, the dual competitive advantages of digitalization and greening can be established by accelerating the change of ideas, constructing the dynamic digital-ESG development model, promoting the governance model that meets the requirements of digitalization, and choosing the development path suitable for their own resource endowments; moreover, the government should create a favorable environment for the digital transformation of enterprises, vigorously promote the concept of ESG, and carry out practical and effective assistance. All in all, it is essential to encourage all types of enterprises to foster a correct understanding digital transformation and ESG concepts, so as to contribute to the "double carbon" goal in the context of the digital economy, and achieve their own development.#br#By clarifying the impact of digital transformation on ESG performance, its mechanism and heterogeneity, this study makes up for the shortcomings of the existing research, provides a more sufficient theoretical basis for enterprises to embrace digital transformation, and helps the realization of the "double carbon" goal. The possible marginal contributions of the study are threefold. First of all, it shifts the research perspective of digital transformation from an economic perspective to a social responsibility perspective and provides new impetus for enterprises to embrace digital transformation by analyzing the effects and mechanisms of digital transformation on enterprises' ESG responsibility performance. Second, it enriches the connotation of digital transformation impact in non-economic performance studies by analyzing the realization path of the impact of digital transformation on ESG performance from financial performance, risk level, and green technology innovation. Third, the internal connection between digital transformation and green performance provides a theoretical basis for the "win-win" of economic goals and the "double carbon" goal. The conclusions not only provide a new path for enterprises to carry out low-carbon practices but also help enterprises establish the dual competitive advantages of digital and green transformation. Despite some achievements in this study, there are still some shortcomings in the data sources, empirical analysis, and variable selection. In the future, relevant research needs to dynamically follow up on the forefront of practice, continuously explore and expand new understanding so as to enrich the research theoretical and practical values.#br#

Nowadays, disruptive innovation has become an important strategic choice for latecomers to realize catch-up, and has been widely concerned by various countries. However, the existing practice of enterprises shows that the disruptive innovation behavior of latecomers will lead to destructive impact on the innovation market, and then break the stable internal and external environment and competition barriers of the existing enterprises, causing threats to their survival. Many incumbent enterprises try to find a way of sustainable development, but they are prone to failure with limited resources and capabilities. Therefore, as the importance of disruptive innovation speaks for itself, how incumbent enterprises break the capability lock and get out of the "innovators' dilemma" has become a key issue of concern for enterprise managers.#br#This paper takes Fujifilm as a case sample,and adopts the longitudinal single case method in the thinking logic of "cognition—action—result" to examine its anti-disruptive action. The following questions are discussed: First, in the face of the external impact of disruptive innovation, how do the managers of existing enterprises sensitively perceive the crisis and form a matching manager cognition? Second, how do managers transfer the individual level cognition to the collective organization and reach a unified understanding？Third, what kind of resource actions do managers guide the collective to take to enhance their abilities？#br#The research results show that the incumbent enterprises have gone through the development stages of exploration, transformation and strengthening, and the corresponding resource capacity has been improved by the integration capacity, extension capacity and reconstruction capacity. In the exploration period, facing the initial market disruption, incumbent enterprise managers form "technology innovation driven" manager cognition through the attention allocation process of "perception-attention-select-judgment". Under such cognitive leadership, managers reach an organizational dominant logic of "independent breakthrough of disruptive technology" with the collective organization through mechanisms such as clarity of rules and regulations and support of special departments. Furthermore, managers lead organizations to take resource patchwork actions to form resource integration capabilities and complete the transformation of enterprise competitiveness. During the transformation period, with the escalation of external crisis events, the incumbent enterprise managers formed the manager cognition of "obtaining market benefits" through the attention allocation process of "perception —attention—selection—judgment". Under the guidance of this cognition, managers reach a "technology-related business expansion" organizational dominant logic with the collective organization through the mechanisms of business systematization and organizational modularization. Furthermore, the managers lead the organization to make resource arrangement to form resource extension capabilities and promote the competitiveness of the enterprise. In the strengthening period, In the face of the reappearance of the barrier crisis, the incumbent enterprise managers form the management cognition of "strengthening market interests" through the attention allocation process of "perception-attention-selection-judgment".With this cognitive reshaping, managers reach a "market expansion and deepening" organizational dominant logic with the collective organization through mechanisms such as the establishment of an information sharing platform and an open innovation center. Furthermore, managers lead organizations to take resource cooperation actions to form resource reconstruction capabilities and help enterprises strengthen their competitive abilities.#br#In summary, this paper studies the path mechanism of capability advancement following the cognition—action—result logic based on the multi-stage process of the incumbent enterprise reform. Compared with the existing literature, it examines the anti-disruptive behavior from the perspective of incumbent enterprises, which enriches the theoretical research system of disruptive innovation. Meanwhile, it adopts the dynamic process perspective and introduces the ability formation mechanism of manager cognition and resource action, which enriches the research on the micro-mechanism of anti-subversion. In addition, the results of this study have important implications for the crisis response of incumbent enterprises. Future research could be enriched from organizational resilience and collaborative mechanism between disruptive innovation of latecomer enterprises and incumbent enterprise development.#br#

Strengthening green technology innovation and promoting major scientific and technological applications are of great significance for achieving the carbon peaking and carbon neutrality goals of China.However, existing studies indicate that technological innovation may not consistently mitigate environmental pollution, and there is ongoing debate about the global efficacy of green technology innovation in reducing carbon emissions.The implementation of green technology may paradoxically heighten energy consumption, resulting in a carbon rebound effect that exceeds emission reductions achieved through technological progress.This could lead to a significant increase in carbon emissions, posing a substantial challenge.Theoretically, the moderating roles of the government, degree of marketization, and public attention are also pivotal in mitigating the impact of green technology innovation on carbon emissions.Hence, this paper systematically organizes the comprehensive impacts and mechanisms of green technology innovation on carbon emissions.#br#Green technology innovation has a multifaceted impact on carbon emissions.On one hand, it enhances energy efficiency through technological upgrades, reducing consumption and lowering production costs for businesses with unchanged energy demand.According to Cost theory, this triggers increased product demand, prompting companies to raise input factors that lead to growth in energy demand, consumption, and carbon emissions—an effect known as the output effect.Additionally, improved energy efficiency may lower fossil energy prices, potentially increasing demand and weakening the expected impact of green technology.On the other hand, green technology innovation can reduce carbon emissions at different production stages.Clean energy sources like solar and wind power can replace fossil energy, while innovation in production processes improves energy utilization efficiency and production efficiency, indirectly reducing carbon emissions without changing total output.Thus, it contributes to effective carbon emission reduction by optimizing pollution control technologies, developing carbon sink technologies and carbon storage technologies.The government, market, and the public are crucial in this process.Green technology innovation involves substantial investment and slow returns, with a typical policy-driven role and greater external dependence compared to other technological innovations.Government policies can rectify market failures, restrain polluting enterprises, and guide technological and industrial development through incentives.As policies gradually recede, the market assumes a more pivotal role.In the competitive landscape, a "survival-of-the-fittest" mechanism compels enterprises to transform.Joint government and public oversight influence decisions, impacting adjustments in technology research and development direction and intensity.#br#Using the panel data of prefecture-level cities in China from 2011 to 2021, this paper introduces novel approaches by employing both parametric and non-parametric models to assess the non-linear relationship between green technology innovation and carbon emissions.Moreover, it utilizes a mediating effect model to analyze the factors contributing to the formation of this non-linear relationship.Additionally, this study expands its scope of investigation to include governmental, market, and public factors.Specifically, it examines the role of the government, market, and the public in relation to their levels of public concern, the implementation of environmental regulations, support for science and technology innovation, and the degree of marketization.The benchmark regression analysis discloses a notable "inverted U"-relationship between green technology innovation and carbon emissions.This distinctive relationship is evident exclusively in non-resource cities, low-carbon pilot cities, and high-quality green technology innovation.The mediating effect analysis underscores that green technology innovation can alleviate carbon emissions by optimizing energy consumption structures.Conversely, it may contribute to increased carbon emissions by impeding industrial structure upgrading.Moreover, moderating effects suggest that increased public concern and support for science and innovation, and a greater degree of marketization positively influence the "inverted U"-relationship between green technological innovation and carbon emissions, rendering the curve steeper.In contrast, environmental regulation exhibits a negative moderating effect on this relationship, flattening the "inverted U"-curve.#br#The research provides empirical demonstrations to deepen the understanding of the connection between green technological innovation and carbon emissions.It contributes to the enhancement of both theoretical and empirical research in the realms of green technology innovation and carbon emission reduction, and offers insights for theoretical and empirical research on industrial green transformation and green innovation R&D, as well as supporting the formulation and implementation of green policies, such as government environmental supervision and innovation subsidies.#br#

In the era of digital technology, digital transformation has become a necessary approach for enterprises to improve core-technology competence. From a micro perspective, digital transformation not only provides enterprises with means and tools to develop core-technology competence, but also provides new business scenarios for enterprises;from a macro perspective,it helps Chinese enterprises to further open the international market and cultivate the technological advantages in some high-tech fields by embracing digital technology and carrying out digital transformation. Thus, it is of significance to systematically and comprehensively explore how digital transformation helps enterprises enhance their core-technology competence. Existing studies mainly focus on the linear relationship between digital transformation and enterprise performance, and some studies note that carrying out digital transformation improves enterprise performance, while other studies argue that digital transformation hinders enterprise performance. The controversy raises the question of whether there is a non-linear relationship between digital transformation and enterprise performance. #br#This paper aims to fill in the above-mentioned research gap by verifying that the relationship between digital transformation and core-technology competence is an inverted U-shape. Drawing on Hanns et al.’s research template, it builds a theoretical framework that deconstructs the inverted U-shape into two forces, namely the driving force and the blocking force. The driving force promotes the improvement of core-technology competence through the search and recombination of information, the coordination of multi-tasks, and organizational structure changes. The blocking force, in contrast, decreases the enterprises' core-technology competence in three dimensions of cost saving, talent recruitment and distraction. By integrating the driving force and blocking force, the inverted U-shape relationship between digital transformation and core-technology competence is formed. Furthermore, because managers usually play a decisive role in whether to conduct digital transformation and control the process of digital transformation;managers’ time orientation which includes forward-lookingness and myopia uncovers managers' thoughts about the enterprise development in the short and long term, it is necessary to include managers' time orientation in the theoretical framework of this paper.#br#With the help of existing text data in the annual reports of listed companies, word frequency is used to estimate enterprise digital transformation, managerial forward-lookingness and myopia. In the calculation of the core-technology competence of enterprises using the revealed technology advantage index, three more indicators are added, namely the average cited number of enterprise patents, the average number of claims of patent rights, and the average quality of patents. The four-dimensional index is then built, and by applying the entropy method, the core-technology competence is calculated. Using the fixed-effect model and instrumental variable method, this paper studies 9 491 observations of 2 182 listed companies from 2010 to 2019. The result shows that there exists an inverted U-shaped relationship between enterprise digital transformation and core-technology competence, and several robustness tests and endogeneity tests reconfirm the conclusion;the managerial forward-lookingness strengthens this relationship, implying that managerial forward-lookingness significantly promotes the core-technology competence and makes the curve steeper;while the managerial myopia weakens the relationship, indicating that managers' myopia has negative effects on the core-technology competence and makes the curve flatter.#br#Digital transformation is not a panacea for strengthening enterprise core-technology competence. Managers should implement digital transformation moderately to attain optimal core-technology competence. In addition, in the process of digital transformation, the managers' time orientation should be taken into account. Forward-looking managers instead of myopic ones can help enterprises achieve higher core-technology competence through digital transformation. Implications for policy-making are presented. First, managers should recognize that carrying out digital transformation has two opposite impacts on core technological competence. When implementing digital transformation, it is essential to adopt appropriate strategies to maximize the positive influence and control the negative impact. Second, when making strategic decisions, managers should focus on the long-term interests of enterprises, enhance their dynamic capabilities, provide more information on forward-lookingness in annual reports, and avoid overemphasizing the short-term interests of enterprises. Third, the government should provide policy support for enterprises that actively promote digital transformation and focus on cultivating core-technology competence, and guide enterprises to take advantage of digital transformation.#br#

In the digital economy, China′s industrial chain is confronted with two-way competition among which the low-end industrial chain is transferred to developing countries and the high-end industrial chain returns back to developed countries, and there is a risk of "chain broken at both ends". Government policies put forward the intrinsic requirements of enhancing the resilience of the industrial chain, maintaining the security of the industrial chain, promoting the integration of the industrial chain and complementing the extension of the industrial chain, so as to keep the key links of the industrial chain in China, build a modern industrial chain system, and realize the external goal of data-enabled transformation of the whole industrial chain. By accelerating the construction of the digital economy, digital transformation drives the change of production methods, creates digital economy advantages, and promotes digital power through digital technology innovation. From the perspective of digital economy, this paper aims to provide an effective way for improving the control capability of key links of industrial chain in China.#br#Since the key links of China′s industrial chain are facing problems of low level, high dependence, weak innovation capability, unreasonable structure, etc., it is urgent to strengthen the construction of a digital technology collaborative innovation system. This paper adopts the input-output tables from 2017-2022, and the data from the CEInet statistical database and the Guotaian database to study the digital economy, innovation spiral and key link control capability of the industrial chain by employing propensity score matching (PSM) combined with the progressive DID method.#br#The following conclusions are drawn. First, the digital economy effectively enhances the industrial chain′s centrality and mediation degree, and promotes the industrial chain. The strength of the digital economy in enhancing the centrality of the industrial chain is greater than that of its mediation. Second, digital industrialization and industrial digitization can enhance the control ability of key links of the industrial chain, and the strength of digital industrialization in enhancing the control capability of key links of the industrial chain is higher than that of industrial digitization. Third, the development of digital economy in eight regions has significantly improved the control capability of key links in the industrial chain, and this effect decreases from the eastern coast region, the northern coast region, the southern coast region, the middle reaches of the Yangtze River, the middle reaches of the Yellow River, the southwestern region, the northeastern region to the northwestern region. Fourth, the development of digital economy can gradually overcome the restrictions of "bottleneck" industries and improve China's control capability towards them in the whole industrial chain. The control capability of industrial chain with technological bottleneck issues includes the role of special equipment, instruments, communications equipment, computers and other electronic equipment, electrical machinery and equipment, etc. Fifth, the "innovation spiral" effect of digital technology works as a partial mediating effect of digital economy development and industrial chain key link control capability. The mediating effect size of centrality is 0.426 1, accounting for 79.50% of the total effect, and the mediating effect size of intermediation degree is 0.344 2, accounting for 64.34% of the total effect. #br#From the perspectives of government, region and industry, this paper proposes some suggestions to improve the control capability over key links in China's industrial Chain. First, the government should take advantage of the new national system , increase the cultivation of key core technologies such as big data, cloud computing and artificial intelligence, improve the new national system to break through the bottlenecks of digital technology, and enhance the capability to control key links in the industrial chain. Second, the regions should build the infrastructure for digital technology. The eight regions across China should collaborate with each other to build digital infrastructure such as the Internet of Things (IoT), 5G communication and blockchain. Third, the industry should set accurate goals for the digital economy′s development. The digital economy industry should improve independent innovation capability and solve bottleneck issues in key and core technologies. To sum up, it is significant for China to promote the independence and control capability of the key links of the industrial chain. In addition, China should strengthen the linkage between digital industrialization and industrial digitalization, and build a digital economy system with a smooth domestic cycle.#br#

It is well-acknowledged that digital transformation is significant for both enterprises and society, but usually the enterprise's own resources and capabilities are insufficient, and digital transformation has the characteristics of a high transformation cost, a long transformation period, and a high transformation failure risk. Therefore, in the face of the new development stage, how to use external resources and forces to solve the problems in digital transformation has become critical to promoting high-quality economic development and implementing the "digital China" strategy.#br#Existing studies have explored the driving factors of enterprise digital transformation from the perspectives of government policy support, business environment improvement, enterprises' own resources and capabilities, and the heterogeneity of enterprise management, but ignored the role of strategic alliance as an external force. Strategic alliance is a key channel to acquire external knowledge, and it greatly expands the boundaries of enterprises and disposable resources, helps enterprises obtain heterogeneous information, knowledge and resources related to digital transformation from external sources, and can also reduce the cost and risk of individual enterprises' digital transformation. This will alleviate the problem of insufficient resources and capabilities for digital transformation. However, the existing literature has not yet focused on the role of strategic alliances in driving the digital transformation of enterprises.#br#Thus, taking Shanghai-Shenzhen A-share listed enterprises from 2009 to 2021 as the research object, this study sorts out the data of strategic alliance announcements of listed enterprises and adopts a large-sample empirical research method to explore the impact and mechanism of enterprises' participation in strategic alliance on digital transformation. The heterogeneity of strategic alliance's impact on enterprise digital transformation is further examined from the perspectives of enterprise nature, industry attributes, and additional environmental factors. There are three main findings. First, the participation of enterprises in strategic alliances is conducive to promoting the process of digital transformation and equity-based strategic alliances; the alliance objects are enterprises and governments, and the cooperation content of the alliance involves digital technology, which will strengthen the promotion role of strategic alliances on the digital transformation of enterprises, while the alliance objects are financial institutions and universities,and they have not yet been found to have significant strengthening effects. Second, the participation of enterprises in strategic alliance can improve the level of enterprise risk taking, enhance the innovation ability of enterprises, and reduce the short-sighted behavior of management, thus driving the digital transformation of enterprises. Third, further analysis shows that strategic alliances can effectively play a role in promoting digital transformation for both state-owned and non-state-owned enterprises, high-tech enterprises, and traditional enterprises. It is worth noting that more than any other enterprise, strategic alliances help to promote the digital transformation process of non-state-owned enterprises, high-tech enterprises and enterprises located in regions with a strong culture of business cooperation.#br#The main contributions of this paper lie in three areas. First, different from the existing literature, this paper extends the external inter-organizational relationship factors that affect enterprises' digital transformation to strategic alliance, and discusses the external driving forces of enterprises' digital transformation from the perspective of strategic alliance, providing a new perspective for solving the obstacles and difficulties of enterprises' digital transformation. Second, studies on strategic alliance focus on the theoretical level or case studies. Some scholars adopt empirical research methods to investigate its impact on innovation behavior, production efficiency and enterprise performance, etc., but there is little literature to explore the impact of strategic alliance on enterprise digital transformation. This paper examines the micro-economic consequences of strategic alliances from the perspective of digital transformation, and provides incremental contributions to the research on strategic alliances. Third, under the background of accelerating the development of digital economy and deepening the reform of market-oriented allocation mechanism of factors, linking strategic alliance as a resource allocation optimization mechanism with digital transformation, revealing and testing the driving mechanism and heterogeneous impact of strategic alliance in promoting enterprise digital transformation will not only help deepen the understanding of the role of strategic alliance resource allocation. It can also provide useful reference and inspiration for enterprises how to use external forces to promote digital transformation.#br#

The world today is undergoing major changes unseen in a century.A new round of technological revolution and industrial transformation is in full swing.In order to achieve the goal of a global innovation leader, ensure the autonomy and controllability of core technologies in key areas, and achieve high-level development of science and technology, it is necessary to strengthen basic research from "zero to one".However, the scientific community and practitioners have not yet developed a clear and unified understanding of basic research from "zero to one" and its originality, which exerts negative impacts on scientific institutions and research evaluation systems.#br#The conceptual ambiguity of originality is the key reason for the above issues, and the fundamental cause is that it is difficult to distinguish between originality and novelty.Thus, this paper aims to differentiate originality from novelty, and enhance the understanding of basic research from "zero to one" among the scientific community and policy practitioners.With paradigm shifts as a starting point, this paper clearly explains the concept of originality by introducing the scientific knowledge network.Further, the connotations, characteristics, classifications and process of basic research from "zero to one" are also interpreted.#br#The paper yields four main conclusions.First, it refines paradigm shifts and originality.A paradigm shift is interpreted as the reconstruction or even subversion of currently accepted principles, theoretical systems, thinking models, methodologies and values to a certain extent.The precondition of a paradigm shift is that existing paradigms cannot effectively explain new problems or new phenomena.Originality is the ability to create unique scientific knowledge that has never appeared before with a high degree of novelty and great importance.The key difference of originality from novelty is that the former is related to a new paradigm, but the latter is not.#br#Second, basic research from "zero to one" is experimental or theoretical work reconstructing, or even subverting old paradigms that fail to explain new problems or new phenomena, and it aims to acquire new knowledge of the underlying foundation of phenomena and observable facts, without any particular application or use in view.Its essence is to propose new paradigms to address new problems or to explain the fundamental principles of new phenomena.Basic research from "zero to one" is characterized by a paradigm shift, pioneering nature and non-consensus, and these distinguish it from other basic research.According to the degree of a paradigm shift and the level of scientific value, basic research from "zero to one" can be divided into the significant type, the valuable type, the transformational type, and the minimally original type.#br#Third, from the perspective of scientific knowledge network, the exploration of potential core nodes and the formation of core nodes are the key processes of basic research from "zero to one" .Exploring potential core nodes includes posing new basic research questions and predicting a paradigm shift.In addition, there are two network characteristics of basic research from "zero to one".One is that core nodes appear with regularity and contingency, and the other is that the sizes of core nodes are different and could change in the future if the degree of originality is represented by the size.#br#Fourth, the ambiguity in originality and basic research from "zero to one" has detrimental effects on research evaluation systems, research funding patterns and scientific institutions.(1) The ambiguity hinders the establishment of scientific research evaluation standards, and consequently, weakens the screening function and guiding roles of assessments.(2) The deviation from or failure of original evaluation further leads to the misallocation of research funds, and the lack of understanding of its characteristics and classification adversely affects the construction of more reasonable funding patterns.(3) The ambiguity also negatively influences the formation of scientific values with the core spirit of originality and the creation of the cultural atmosphere with the pursuit of originality.Therefore, it is necessary to lay a solid theoretical foundation, conduct extensive research and discussion, and carry out in-depth practical exploration to elaborate on the common recognition of originality and basic research from "zero to one".Meanwhile, the evaluation systems and funding patterns should be constantly improved and implemented.#br#

In recent years, digital innovation of supply chain has become an inevitable trend for companies to adapt to the development of the times. However companies correspond differently, which brings up the question worthy of consideration: which factors drive companies to embrace digital innovations in their supply chains?The institutional theory suggests that the essence of obtaining a competitive advantage is the pursuit of legitimacy which is caused by institutional pressure. However, few studies have explored the driving effect of institutional pressure on supply chain digital innovation. The existence of institutions exposes companies to a variety of tangible and even intangible pressures, forcing companies to behave in a consistent way. Hence under the mainstream trend of digital innovation, it remains to be discussed further whether the companies will engage in digital innovation in their supply chain because of institutional pressure. In this instance, it is important to explore the impact of institutional pressure on supply chain of digital innovation based on the institutional theory. Moreover, the institutional environment in emerging countries is often undergoing rapid changes, making the transmission effect of institutional pressure vulnerable to the pace of change in the institutional environment significantly. This study aims to explore how the pace of change in the institutional environment plays a moderating role between institutional pressure and the strategic decisions of supply chain digital innovation.#br#This paper selects the listed companies on Shanghai and Shenzhen stock exchanges from 2012 to 2020 as the research samples. The multiple regression analysis is applied to empirically examine the impact of marketization, corporate social responsibility, media attention on supply chain digital innovation, respectively as regulatory pressure, normative pressure and cognitive pressure, and explore the contextual role of the pace of change in the institutional environment.#br#The results of the study show that, firstly, the marketization process can effectively promote supply chain digital innovation of the companies. From the perspective of regulatory pressure, the relevant legal, economic and social changes involved in the marketization process are the formal institutional means acting on the entire supply chain, which promotes supply chain digital innovation. Secondly, corporate social responsibility also has a significantly positive impact on supply chain digital innovation. Under the normative pressure from stakeholders in the supply chain, companies are compelled to carry on digital innovation of supply chain in order to achieve synergistic development along the supply chain. Thirdly, media attention has a significant positive impact on supply chain digital innovation. Media attention has contributed to supply chain digital innovation in terms of both enhanced stakeholder awareness and increased regulation. Fourthly, the pace of change in the institutional environment plays different moderating roles between diverse institutional pressures and supply chain digital innovation: the pace of change in the institutional environment has exerted a negative moderating effect between the marketization process and supply chain digital innovation; the moderating effect of the pace of change in the institutional environment on the relationship between CSR and supply chain digital innovation is not significant; the pace of change in the institutional environment has a significantly positive moderating effect between media attention and supply chain digital innovation.#br#The main contributions of this paper are as follows. Firstly, drawing on the institutional theory, this paper constructs a theoretical framework of the triple pressure of regulation, norms and cognition on supply chain digital innovation by introducing the perspective of institutional pressure, which enriches the theoretical perspective of supply chain digitalization. Secondly, most of the current studies have explored the drivers of digital innovation in supply chains at the theoretical level, lacking further empirical analysis. This study effectively fills this gap by exploring data based on Chinese listed companies. Thirdly, it deconstructs institutional pressures into marketization processes, social responsibility and media attention, and explores their driving effects on supply chain digital innovation, thus expanding the application scope of institutional theory. Fourthly, this paper takes the pace of change in the institutional environment as a moderating variable to clarify the weighted influencing mechanism of the relationship between institutional pressure and supply chain digital innovation, and enriches the management context characteristics of the study in the drivers of supply chain digital innovation.#br#

With the widespread adoption of Internet of Things (IoT) technology and smart devices, contextual marketing has emerged as a novel business model that dynamically stimulates customers' underlying needs, thereby fostering firm innovation. The IoT serves as a critical means to achieve a profound integration of technology and consumption context. With the advancement of the IoT, marketing has been transitioned from the traditional online-offline mode to a co-constructive context, where the digitalization of context drives industry digitalization, consequently influencing changes in the industrial chain and facilitating industry ecological reform. The iterative innovation of technology has resulted in a more diverse competitive environment. The ability to rapidly meet customer needs has emerged as a new focal point of competition. Intensifying market competition compels firms to redirect their R&D investments towards engaging users in active innovation, and thus the user innovation mode has become the primary driving force behind enhancing firms' innovation output.#br#Several scholars have acknowledged the impact of context innovation on consumer behavior and the significant role of users in context-driven innovation models. They have also recognized that customers, in turn, can drive the innovation of technology and business models for firms within a context-driven innovation framework. Various concepts such as value co-creation, product development tools, and service-dominant logic regarding user innovation have been proposed, but specific manners of user innovation and contribution have not been thoroughly discussed. In practice, researchers have focused more on the impact of user innovation on product development and the establishment of user innovation platforms, but have not extensively explored the specific implementation pathways. Therefore, given the fact that users play a crucial role as a significant source for firms to gain sustainable innovation advantages, stimulating user participation in innovation has become a pressing issue in firm innovation management. This holds particularly true in the context of the IoT where the exploration of how consumption context drives user innovation and, in turn, stimulates firm innovation deserves considerable attention.#br#This study aims to explore how users generate new consumer demands and create value with firms driven by consumption context. According to context theory and user innovation theory, this paper takes the scene-brand Casarte as the sample case and uses the data processing program of grounded theory to theorize the manners of user innovation driven by context and its generation path. The findings reveal that the consumption context encompasses physical elements, technological elements, humanistic elements, and relational elements. Users engage in innovation within different types of consumption contexts through activities such as bridging expected demands, breaking consumption inertia, transforming emotions, generating experiential data, and integrating customer knowledge. The context-driven user innovation path follows a closed-loop trajectory characterized by dynamic changes and cyclic iterations. It is shaped by the interplay of contextual elements and driven by both natural and human forces.#br#This paper establishes a preliminary foundation for contextual marketing as a means to stimulate user innovation and create value. It offers insights into context interaction and user demand mining in contextual marketing strategies, thereby fostering firm innovation. The theoretical contribution of this paper lies in the consolidation of the elements and types of consumption contexts, which extends the concept of the "five context forces" proposed by Scoble and incorporates the four elements of context proposed by Peng Lan. This enriches the research outcomes on context marketing in the IoT environment. With the refinement of the manners and paths of context-driven user innovation, it provides valuable insights for researchers to gain a deeper understanding of the harmonious management state of firm and customer collaboration in creating value within the IoT environment.#br#This paper also offers practical implications for practitioners. First, firms should prioritize the construction of contextual elements in contextual marketing. Second, it is crucial to harness the wisdom of users and stimulate their inspiration to promote innovation for firms. Third, firms should leverage advanced context analysis technologies to precisely assess user needs and make corresponding adjustments.#br#

The industry-university-research (IUR) deep integration innovation consortium represents the most recent manifestation of China's IUR practice, showcasing a profound embodiment of Chinese-style innovation within the IUR field. Compared to conventional models of IUR collaborative innovation, the IUR deep integration innovation consortium efficiently spans the entire innovation chain from fundamental research to product commercialization, thereby serving as a vital response to the practical necessity and imperative demand for achieving high-level technological self-reliance and propelling the economy toward high-quality growth. However, current related research on IUR deep integration innovation consortium is still in its early stages, exhibiting fragmented and disorganized features. Thus it is theoretically and practically important to construct a comprehensive research framework on IUR deep integration innovation consortium to analyze its concept, characteristics, types and pathways to advancement.#br#In light of this context, this paper takes the new practical phenomenon of IUR deep integration innovation consortium in China as a focal point and theoretically builds an integrative research framework following the analytical model of "concept derivation—feature type—promotion path". Specifically, this paper first outlines the policy evolution process and overall research context of the IUR deep integration innovation consortium, which clarifies the connotation and extension of the concept of the IUR deep integration innovation consortium. Secondly, it summarizes the unique characteristics of IUR deep integration innovation consortium and categorizes four typical types of IUR deep integration innovation consortium from the perspective of leading organizations. Thirdly, grounded in the requirements of high-quality development in the Chinese new era, this paper puts forward several corresponding strategies and recommendations for promoting the construction of the IUR innovation consortium and constructs an integrated research framework for the IUR deep integration innovation consortium.#br#It is concluded that, firstly, the IUR deep integration innovation consortium is a resource-sharing, benefits-sharing, risk-sharing, and mutually-benefiting independent legal entity or a research entity or an educational entity jointly established by enterprises, universities, and research institutions, aiming at overcoming technology bottlenecks, addressing significant technological challenges, and resolving industry-specific common technical issues. According to market-oriented principles and equitable equity distribution, each of the enterprises, universities, and research institutions contributes a certain proportion of resources to establish the IUR deep integration innovation consortium. Secondly, compared to general innovation consortiums, the IUR deep integration innovation consortium exhibits six distinct characteristics, namely goal-orientedness, self-organization, benefit-sharing, diverse innovation stakeholders, complementary innovation elements, and seamless integration of the innovation chain. It effectively transcends the organizational boundaries of various innovation stakeholders, interconnects different segments of the innovation and industry chains, and fosters synergy among them. Thirdly, from the perspective of leading organizations, IUR deep integration innovation consortium can be categorized into four fundamental types: government-led consortium, university-led consortium, research institution-led consortium, and enterprise-led consortium. Fourthly, the fundamental strategies for advancing the establishment of IUR deep integration innovation consortiums involve clarifying the directional role of government in guiding consortium establishment, leveraging the market's decisive role in fostering consortium, striking a balance between market and government, establishing systematic mechanisms for classifying, guiding, and managing consortium, establishing a market-oriented novel organizational model for consortium, and continually deepening innovations in institutional mechanisms for consortium.#br#This paper contributes to current research in two ways. It first expands the research related to IUR deep integration by focusing the macro-level policy recommendations of IUR deep integration on the micro-level practice of establishing consortium, and addresses the domestic academic community's call for exploring the micro-foundation of the "technological innovation system of IUR deep integration in China". Moreover, this paper advances the research related to innovation consortiums by delving into their concept, typologies, and construction of deep integration innovation consortium, which provides a comprehensive theoretical exposition transitioning from "what to build" to "how to build".#br#

As a strategic pacesetter for global industrial competition, the productive service industry plays a crucial role in leading the industry to break through the low-end lock-in dilemma of developed countries and upgrade towards the high end of the global value chain. However, in reality, the productive service industry in China has a relatively low share in the global market and is still in its early stages of development. In light of this context, it is of great practical value for solving the imbalance of the external trade structure and improving the added value of exported products and services to accelerate the advancement of China's productive service industry towards the high end of the global value chain and enhance the resilience of the productive service industry in the global value chain. In recent years, the digital economy has gradually become an important form of social transformation, for it has been effectively penetrating the entire industrial chain of productive services, reshaping the international industrial division of labor patterns, and promoting the resilience improvement of China's global value chain of productive services. Then, what is the effect of the digital economy and its subdimensions on enhancing the resilience of the global value chain in productive services? Does it have a sustained impact? What is the pathway through which it works? Is there a situation of heterogeneous impact? Exploring the above issues is of great practical significance for enhancing the resilience of the global value chain of productive services in China and other developing countries.#br#This study selects sample data from 62 countries in the ADB MRIO database from 2012 to 2021, and constructs an econometric model to empirically examine the impact of digital economy development on the resilience of the global value chain of productive services. In this process, the dynamic impact effects of digital economy development indicators with a lag of 2—5 periods are analyzed, and a model of mechanism test is used to verify the transmission mechanism of the two. The empirical results indicate that the improvement of the development level of the digital economy can significantly enhance the resilience of the global value chain of productive service industries in various countries, with the application of digital technology having a more significant effect. The dynamic effect results show that the impact of digital economy development on the resilience of the global value chain of productive services is a long-term and dynamic process with a continuously deepening trend. The mechanism test shows that the development of the digital economy can enhance the resilience of the global value chain of productive services by promoting the liberalization of service trade and improving the level of factor integration. Heterogeneity analysis reveals that the impact of digital economy development on the resilience of the global value chain of productive services varies greatly depending on the industry life cycle and the destination country (region).#br#Compared with existing literature, the study firstly offers a new perspective on the resilience of the global value chain of productive services as the starting point and foothold;it measures the resilience of the global value chain of productive services in various countries from the dimensions of stability and safety, and expands the existing research scope. Secondly, it integrates the development of the digital economy and the resilience of the global value chain of productive services into a unified framework for research, which expands the depth of research. Thirdly, on the basis of sample data from various countries around the world, this study manages to examine the relationship between the development of the digital economy and the resilience of the global value chain of productive services from a macro perspective, providing empirical evidence for China to improve its level of digital economy development and enhance the resilience of the global value chain of productive services.#br#The findings of the study suggest the government should improve the legal system related to the digital economy, implement an efficient market access and investment access mechanism for the service industry, and accelerate the reform of factor market integration, i.e., a multi-level factor trading market systems and an effective linkage mechanism between domestic and international factor markets should be built.#br#

In this era full of volatility, uncertainty, complexity and ambiguity, the transformation of digital technology and the consequent development of platform economy have changed the traditional innovation processes and made novel ways to create values. Openness and sharing are quite remarkable features of the platform, and they make users take part in the value creation activities more actively, and let enterprises attract more users to take part in innovation. Therefore, user innovation behavior has become an important source of the innovation capability for enterprises.#br#However, some issues such as low user activity and inactive participation in innovation emerge, but the factors affecting user innovation are rarely tapped from the perspective of incentive and restraint mechanisms of open innovation platform. At present, the research on potential impacts of incentive and restraint mechanisms of open innovation platform on user innovation behavior remains in its infancy, and the boundary conditions of aforementioned mechanisms need to be further explored. Therefore, taking creative self-efficacy and affective commitment as mediators, and proactive personality as a moderator, this study intends to explore the influencing mechanisms and boundary conditions of the relationship between incentive and restraint mechanisms of open innovation platform and user innovation behavior from the perspectives of cognition and emotion.#br#The research model of the study is established via theoretical deduction and research hypotheses. According to the cognitive-affective personality system theory, creative self-efficacy and affective commitment are thought to have the mediating effects in the relationship between incentive and restraint mechanisms of open innovation platform and user innovation behavior. Moreover, from the perspective of human interaction theory, the study proposes that proactive personality plays the moderating role in the impact of incentive and restraint mechanisms of open innovation platform on user innovation behavior. In hypotheses testing, the study takes each variable in the study as a single dimension, and the questionnaire is distributed two-way. An empirical analysis of 361 valid questionnaires by SPSS26.0 and AMOS24.0 statistical analysis software is conducted in the study. The research model and research hypotheses proposed in this study are verified.#br#The conclusions are as follows. First of all, incentive and restraint mechanisms of open innovation platform positively relate to user innovation behavior. Secondly, creative self-efficacy plays a mediating role respectively between incentive and restraint mechanisms of open innovation platform and user innovation behavior. Thirdly, affective commitment is also a mediator in the incentive and restraint mechanisms of open innovation platform—user innovation behavior link. Finally, proactive personality moderates the relationship between incentive and restraint mechanisms of open innovation platform and user innovation behavior.#br#The conclusions highlight the following management recommendations. Firstly, the open innovation platform should design reasonable incentive and restraint mechanisms in order to create a good platform ecology, and improve the enthusiasm of users to participate in innovation. Secondly, the open innovation platform needs to take measures to continuously improve users′ creative self-efficacy and affective commitment, so as to realize the transformation of the incentive and constraint mechanism of open innovation platform to user innovation behavior. Thirdly, according to the results of the moderating role of proactive personality in the relationship between incentive and restraint mechanisms of open innovation platform and user innovation behavior, the open innovation platform can speculate on the user activities according to the frequency of the release scheme and comment reply, and implement classified management for users of different categories.#br#The contributions of the study lie in three aspects. Firstly, the study uses the cognitive-affective personality system theory as a theoretical framework to clarify the impact of the incentive and constraint mechanisms of open innovation platform on user innovation behavior, which enriches the extant research on the aftereffect of the governance mechanisms of open innovation platform at the micro level. Secondly, the boundary condition of the relationship between the incentive and constraint mechanisms of open innovation platform and user innovation behavior is clarified based on the human interaction theory. Finally, the relationship between the incentive and constraint mechanisms of open innovation platform and user innovation behavior is clarified, providing theoretical and practical enlightenment for platform enterprises to integrate internal and external resources, and improve user experience in the context of digital economy.#br#

The traditional extensive economic development in China has caused enormous pressure on the ecological environment.Green innovation (GI), as the core content and key driving force of green growth, helps enterprises build sustainable competitive advantages.However, it has the typical characteristics of "dual externality", and enterprises aiming at driving profits often lack the willingness of GI.In fact, under the pressure of environmental regulation (ER), a large number of enterprises excessively pursue innovation quantity while neglecting quality in order to avoid environmental penalties and enjoy policy incentives.This strategic green innovation (StGI) seriously hinders green transformation.Then, what is the relationship between ER and enterprise GI? The relationship between ER and GI has been widely debated, which may be related to the fact that most literature overlooks the dual heterogeneity of ER (command-control and market-incentive) and GI (strategic and substantive).In fact, due to the dual motivation of "following regulatory standards" and "seeking strategic differences", enterprises implement StGI to cope with policy pressure and obtain government subsidies, and make minor improvements to existing technologies and products.While substantive green innovation (SuGI) is carried out for the innovation of green technologies and products with green attributes to ensure their initial advantage in the development of environmental protection.#br#Focusing on the relationship between ER and GI from the perspective of dual heterogeneity, this study constructs a theoretical framework of "environmental regulation - knowledge search -enterprise green innovation" under the guidance of institutional theory and knowledge management theory.To validate the research hypothesis, the data is collected through questionnaires from 285 manufacturing enterprises located in Guangdong Province.Before the empirical analysis, a series of data validity tests on the scale are conducted, including reliability and validity tests, homology bias, non-response bias, multicollinearity, etc.#br#By using multiple linear regression methods, the study obtains the following important conclusions.(1) Command-control environmental regulation (CER) can only promote StGI, while market-incentive environmental regulation (MER) can only promote SuGI.(2) The depth of knowledge search plays a mediating role between CER and StGI, while the breadth of knowledge search plays a mediating role between MER and SuGI.To further deepen the research significance, the study uses the fsQCA method for further analysis.The results indicate that two antecedent configurations can promote high StGI, while three antecedent configurations can promote high SuGI; without external incentives for MER, the combined effect of the depth and breadth of knowledge search within the enterprise can promote SuGI.#br#The contributions of this study are reflected in the following aspects.First, from the perspective of dual heterogeneity, this study examines the differentiated GI behavior of enterprises under the influence of different types of ER, deepening the research dimension of the "Porter Hypothesis" in the practical context of Chinese enterprises.It divides ER into CER and MER, and enterprise GI into StGI and SuGI from a motivational perspective, strengthening the exploration of heterogeneous motivations for GI.Second, this study reveals the mediating role of knowledge search and confirms the differences in the transmission mechanisms of search depth and breadth, verifying the theoretical hypothesis of existing research that there are differences in the mechanisms of heterogeneous ER on GI.This study incorporates knowledge search into the theoretical framework and expands the research scope of knowledge search.#br#Finally, the managerial implications are presented.First, enterprises should actively transform their concept of green development, focus on breadth search in knowledge search, and reserve relevant green knowledge for SuGI.Without external incentive policies, enterprises should focus on the synergy of knowledge search depth and breadth, and leverage the complementary role of the two types of knowledge search behaviors in promoting SuGI.Second, the government should strengthen environmental regulation efforts, especially focusing on MER.It is necessary to timely evaluate the differences in the effectiveness of different ER tools, take comprehensive consideration, and enhance the effectiveness of environmental policies.#br#

At present, the global “fourth” industrial revolution is accelerating, the world’s competitive landscape is being reshaped, and improving technological innovation has become the core strategy for countries to seek competitive advantages. Artificial intelligence (AI), as a new generation of “general-purpose technology” after the Internet, is regarded as the key to promoting the “fourth” industrial revolution, and its increasingly strong penetration and high spillover are becoming an important driving force to enable technological innovation. The current research has explored the direct impact of artificial intelligence on technological innovation, but there has been no discussion on the possible nonlinear relationships;the mechanism of the role of innovation environment in the relationship between artificial intelligence and technological innovation has not been explored yet;and the impact of regional differences and innovation type differences has not yet been paid attention to, and heterogeneity analysis is warranted.#br#This study selects the number of patent authorizations from each province to represent the level of technological innovation in the region, uses the number of patent applications to replace the number of patent authorizations for robustness testing, and takes the installation volume of industrial robots in each province as an indicator to measure artificial intelligence. Using the sample data of 30 provincial-level administrative regions in China from 2011 to 2020, the study analyzes and tests the empowering effect of AI on enhancing technological innovation and the mediating effect of the innovation environment using a two-way fixed-effect model and a mediating-effect model.#br#The results reveal that, first of all, AI can significantly empower the enhancement of regional technological innovation. The empowering effect of AI can accelerate knowledge integration and creation, promote knowledge spillover, optimize resource allocation, and thus improve technological innovation. Secondly, the facilitation effect of AI on technological innovation works through the intermediary mechanism of innovation environment and is further tested by the mediating effects of sub-mediating variables such as new enterprises, foreign investment and venture capital. Thirdly, in the heterogeneity analysis, it is found that AI has a significant empowerment promotion effect on technological innovation in eastern regions, coastal regions and technology-intensive regions, and has not yet shown a significant promotion effect in Midwest regions, non-coastal regions, and non-technology-intensive regions, although the regression coefficients are positive. AI has a significant empowerment-boosting effect on all three innovation types and shows a higher marginal effect on design patents. Finally, the promotion of AI in technological innovation shows a marginally decreasing non-linear characteristic, which indicates that there is an “optimal interval” of AI-empowered technological innovation enhancement.#br#The implications arising from the study are listed. (1) The government should integrate knowledge resources between different subjects with the help of the AI technological innovation platform, strengthen knowledge spillover and knowledge creation, and enhance technological innovation through industry-university-research integration. In addition, the government should further strengthen basic AI research, make a strict investigation of the use of government funds for innovation and provide special government funds to reduce the innovation crowding-out effect of rent-seeking behavior. (2) It is essential to accelerate the intelligent transformation of infrastructure to empower technological innovation, apply AI technology in enterprise project decision-making, project risk demonstration, build an intelligent risk warning platform based on AI technology to carve a multi-dimensional risk portrait of enterprises in the region from assets, cash, and transactions, and build an inter-regional cooperation and innovation network based on AI technology to realize cross-regional and cross-field resource integration. (3) Because of the regional heterogeneity of the promotion of AI in technological innovation, governments in regions with relatively weak foundations should improve the top-level design and institutional guarantee of AI development and strengthen the financial and policy support for intelligent transformation of infrastructure. Then the leading regions should focus on improving the level of AI technology application, and take the lead in undertaking key technology research tasks. Finally, the government should play a policy-guiding role in actively promoting AI hardware facilities, such as AI data centers and AI innovation pilot zones, to enrich the areas with weak foundation, realize regional division of labor synergy, and give play to the innovation empowerment effect of AI technology.#br#

Under the wave of the digital economy, social media has brought great opportunities and challenges to enterprises' breakthrough innovation.On the one hand, social media reshapes the knowledge management and collaboration model within traditional enterprises by providing a real-time interaction platform that transcends organizational boundaries.On the other hand, it promotes cross-border co-creation through marketing, crowdsourcing and other activities, which is not only fundamental for breakthrough innovation, but also reduces the high risks associated with breakthrough innovation activities.However, the existing literature rarely analyzes the specific impact mechanism of social media use on breakthrough innovation, and has not reached a consistent conclusion.Therefore, it is of great practical and theoretical value to study how and under what conditions the digital technology of social media affects the breakthrough innovation of enterprises.#br#This paper intends to explore the differentiation mechanism of social media for breakthrough innovation from the perspective of its two kinds of affordance.The use of integration-oriented social media is mainly aimed at the communication, cooperation and knowledge integration of internal personnel.The use of external marketing oriented social media involves displaying corporate image and products, responding to external user opinions and comments, and allowing users to participate in product development .The use of internal integration-oriented social media provides more efficient and broader information interaction and knowledge collaboration for organizational members, breaks the knowledge inertia and path dependence from the ability level, and promotes the unlearned learning required for breakthrough innovation activities.The use of external market-oriented social media deepens cross-boundary user engagement at the social capital level by reducing information asymmetry and promoting quasi-social interaction, and promotes the acquisition of resources needed for breakthrough innovation activities.In addition, according to the affordance theory, technology affordance will lead to different organizational results under different subjective behavior orientations of users, and there is a matching and interaction between the strategic orientation of enterprises and the affordance of social media.Therefore, this paper further considers the moderating role of dual strategic orientation.#br#The sample data is from MBA students at Zhejiang University of Technology.These students are from enterprises located in the Yangtze River Delta region of Zhejiang Province, with a high degree of digital development.The subjects are middle- and senior-level managers or members of the innovation and research departments of the enterprises.The data was collected by phone from April 2022 to June 2022 from 500 randomly-selected students from the MBA alumni contact list.There are 177 valid questionnaires retrieved and they are employed in the empirical test by the structural equation model and bootstrap method.The study conducts the confirmatory factor analysis by Amos and proves that the questionnaire has high convergent validity; it further takes some control procedures and the Harman single factor test to weaken the common method biases due to the fact that the questionnaires are filled out by middle and senior managers of the enterprise.#br#It is found that the use of internal integration-oriented social media promotes unlearning and breakthrough innovation, while external marketing-oriented social media use deepens cross-border user engagement and promotes breakthrough innovation.Moreover, the dual strategic orientation has played a mediating role in both paths.The higher the entrepreneurial orientation, the stronger the promotion effect of internal integration-oriented social media use on unlearning.The higher the market orientation, the stronger the promotion effect of external marketing-oriented social media use on cross-border user embedding.#br#To sum up, this paper raises research questions about how and under what circumstances the use of social media will promote breakthrough innovation in enterprises.First, from the perspective of internal capabilities and external resources, this study discusses the differential impact mechanisms of two different orientations of social media use on enterprise breakthrough innovation and further introduces organizational forgetting learning and cross-border user embedding.Second, this paper provides specific boundary conditions for understanding the relationship between social media use and breakthrough innovation by identifying the moderating factors of dual strategic orientation, which further deepens the understanding of the relationship between the two.Third, it enriches the dynamic mechanism of breakthrough innovation in the digital context by expanding the previous research on the antecedents of breakthrough innovation.#br#

Digital transformation is now necessary for enterprise growth with the fusion of digital technology and the real economy. The local governments have been paying particular attention to ways to assist enterprises in implementing digital transformation at the central government's request. Provincial governments and relevant departments have taken the initiative to formulate detailed rules and measures to promote the digital transformation of local enterprises.#br#Existing research mainly focuses on the measurement of digital transformation at the national, regional and industry levels and lacks measurement of enterprise digital transformation at the micro level, mainly by the case study method to describe the transformation process. Only a few studies have measured the enterprise digital transformation on word frequency analysis. In general, the current research on enterprise digital transformation is still in its infancy. It still lacks the division of the stages of the digital transformation process and the comparison of the differences between different phases. In particular, there is a lack of quantitative measurement of different stages of enterprise digital transformation. Moreover, existing research generally agrees that big data analytic capabilities include organizational, technical and human capabilities, without which big data analytics capabilities cannot be effectively implemented. In addition, big data analytics capabilities are found to play a critical role in improving performance, driving innovation and digital transformation. But it has rarely been mentioned of how to quantitatively characterize the impact of big data analysis capabilities on the degree of enterprise digital transformation and the differentiated effect of each digital transformation stage. Finally, from the perspective of external factors, there is a shortage of research from the standpoint of local policies perception to examine the impact of local digitalization policies on the enterprises' digital transformation and compare their differentiated effects on the various stages of digital transformation.#br#Addressing the above issues of the existing research, this study conducts empirical research through questionnaires to explore the impact of big data analytics capabilities on the differentiation at each stage of enterprises' digital transformation and the moderating role of local policy perceptions. In view of the fact that the collected questionnaire data are all from the self-report of middle and senior managers in the enterprise, in order to prevent the interference of common method bias in the results, this paper employs the commonly used Harman single factor test method. With 356 valid questionnaires, the hypotheses are tested accordingly. The findings suggest that big data analytics capabilities can significantly increase enterprises' digital transformation in the initial preparation, practice implementation and deep exploration stages. Local policy perception positively moderates the impact of big data analytics capabilities on the initial preparation stage and practice implementation stage of enterprise digital transformation. In contrast, the relationship between big data analytics capabilities and the deep exploration stage of enterprise digital transformation is not significant.#br#This study has three theoretical contributions. First, the stages of digital transformation are rarely divided because the current characterization of its dimensions and indicators is still in its infancy with focus on case studies and word frequency analysis. This study divides the enterprise digital transformation process into three stages, i.e. initial preparation, practice implementation and deep exploration, and describes each stage at the micro-enterprise level using a questionnaire survey. This division further advances the existing research on the measurement of enterprise digital transformation. Second, from the perspective of big data empowerment, this study introduces big data analytics capabilities based on the theory of dynamic capabilities and investigates their impact on the digital transformation of enterprises in various stages. These findings significantly extend the discussion of enterprise digital transformation from the internal organization view by contrasting the effects of big data analytics capabilities on the differentiation of different transformation stages. Therefore, this study advances the relevant research on the internal factors of enterprise digital transformation. Third, from the perspective of institutional environment perception, it investigates the moderating role of local policy perception between big data analytics capabilities and different transformation stages of enterprises. These moderating results are conducive to enriching the current research on the external driving factors of enterprise digital transformation and expanding the evaluation of the implementation effect of relevant local policies.#br#

Innovation is the soul of specialized, refined, differential, and innovative (SRDI) enterprises, and organizational resilience is an important guarantee to promote the high-quality development of SRDI small and medium-sized enterprises (SMEs) in the VUCA era. Organizational resilience, as a dynamic organizational capability that helps enterprises rebound from crises and adversity, can help them respond effectively to unexpected events and recover quickly from adverse impacts, thus enabling them to achieve sustainable development. According to the theory of dynamic capabilities, firms must have the ability to adjust dynamically to changes in order to integrate internal and external resources and reorganize them so that they can better adapt to changes in the market environment, build resilient organizations, obtain and maintain competitive advantage. #br#In view of the lack of research on the micro level of enterprise innovation quality, this study aims to construct an econometric model of organizational resilience and analyze the impact of organizational resilience on the innovation quality of SRDI SMEs from the perspective of enterprise innovation effect. It selects A-share listed companies from 2013 to 2022 as the research sample, with 1 274 valid observation samples obtained after screening. The explanatory variable in the model is enterprise innovation quality which is measured by two patent quality indicators, including patent knowledge breadth and number of citations. In this study, three model regressions—mixed OLS, fixed effects and random effects—are performed separately. It is found that organizational resilience has a positive effect on the innovation quality of SRDI SMEs, i.e., the higher the corporate organizational resilience, the higher the innovation quality of SRDI SMEs. The study of the mechanism shows that (1) organizational resilience helps to improve the competitive position of products in the market, which in turn promotes the overall improvement of the innovation quality of SRDI SMEs;(2) enterprises with strong organizational resilience reduce financing costs, thus improving the innovation quality of SRDI SMEs;(3) organizational resilience is conducive to enhancing the overall marketization level of the industry, thereby improving the innovation quality of SRDI SMEs. The heterogeneity test finds that the effect of organizational resilience on the innovation quality of SRDI SMEs is better in SOEs and large-scale enterprises. In addition, organizational resilience promotes the improvement of the quality of innovation of SRDI SMEs, which in turn stimulates the increase of firms' total factor productivity.#br#In summary, this study integrates dynamic capability theory, resource-based theory, and enterprise behavior theory to explore the impact of organizational resilience on the innovation quality of SRDI SMEs,puts organizational resilience in a more complex management situation, and analyzes the application and development strategies of organizational resilience and the improvement of innovation quality of SRDI SMEs. Compared with existing literature which has focused on the influence of internal control and internal capital utilization efficiency on the innovation quality of SRDI SMEs, and ignored the influence of external environmental factors on the relationship between the innovation quality of SRDI SMEs, this study chooses the indicators of product market competition status, financing constraints and marketization index to explore the "black box" between the influence of organizational resilience on the innovation quality of SRDI SMEs. Moreover, the existing literature mostly adopts the total number of invention patent applications of a single enterprise or the duration of use of individual patents to measure innovation quality, which reflects the innovation capacity of an enterprise rather than its innovation quality. This study adopts two indicators of patent knowledge breadth and numbers of patent citations, enriching the literature on the measurement of innovation quality of SRDI SMEs.The findings of this study enrich the theoretical and empirical research on the innovation quality of SRDI SMEs and are of great significance for enterprises to enhance their awareness of organizational resilience, improve the quality of innovation through organizational resilience, and promote high-quality economic development.#br#

The integrated development of the industrial chain and the innovation chain is of great significance for China to achieve high-level scientific and technological self-reliance. For a long time, research on the integrated development of the innovation chain and industrial chain has generally stayed at the macro level, the industry level, or a specific link of the industrial chain innovation chain, and thus the specific level of their integration, especially the integration within and between industries is obscure.#br#　　On the basis of the patent data in PATSTAT database and China's classification of strategic emerging industries, this study builds a more scientific and reasonable double-strand fusion index system from three perspectives: innovation basic ability, intra-industry innovation network and inter-industry innovation network, and explores how innovation chain and industrial chain are integrated and the specific level of integration development from the micro level to find out the deep-seated mechanism and law of double-strand fusion development more clearly. In this paper, the reference table of strategic emerging industry classification and international patent classification (2021) (Trial) issued by the China National Intellectual Property Administration is used to construct the industrial patent matching data, and the industrial classification code is related to the patent through the patent IPC mapping relationship in PATSTAT, and it is used as the basic data for subsequent research.　　A detailed comparison between China and some OECD countries' industrial chains and innovation chains' integration is made by first analyzing the innovation basic capability index, intra-industry innovation network index and inter-industry innovation network index, and then the development index of double-chain integration of various economies. It is found that, in terms of innovation basic capability index, China has caught up with the OECD average level and is slightly higher than the United States, Japan and South Korea, but significantly lower than Germany; in terms of intra-industry innovation network index, China has achieved a great leap, but it is still lower than the United States and Germany; in terms of inter-industry innovation network index, China has risen rapidly, surpassing the average level of OECD, and now it is only behind the United States (but with a big gap) and slightly higher than Japan; in terms of integration index, it is very close to Germany at present, slightly higher than the average level of Japan, South Korea and OECD, but the gap with the United States is obvious. On the whole, the level of China's double-stranded integrated index has been greatly improved in the past 30 years. At present, it is comparable to Japan, higher than the average level of South Korea and the OECD, but still lags behind the United States and Germany. There are still some gaps compared with the global leading levels in some fields, and deficiencies in the construction of intra-industry technology networks and inter-industry technology interaction. The development of double-stranded integration faces risks including intermediate sources, middle income traps, export channels, internal circulation systems and value chain dominance.　　#br#　　In order to accelerate inter-industry and intra-industry integration and innovation and jointly promote the integration and development of the industrial chain in the innovation chain, it is first of all essential to focus on key technologies in core fields, enhance the control of the commanding heights of the double chain,strengthen the research of cutting-edge technology, promote future industrial development, and build an efficient industry-university-research cooperation platform to give full play to the functions of resource integration and achievement transformation. Second, efforts should be made to promote inter-industry integration and innovation, guide the industrial chain to drive the development of the innovation chain, strengthen cross-industry technology integration and innovation, further promote the development of "manufacturing+service" integration, and the organic integration of new elements and traditional elements. Third, it is necessary to promote complementary innovation among regions and the supporting role of the innovation chain in the industrial chain, handle the relationship between regional layout and regional coordination, inter-industry and intra-industry, formulate innovation policies focusing on technology clusters for different regions, and form a multi-dimensional, three-dimensional and complementary technological innovation pattern between regions, industries and intra-industries.#br#

As a kind of organizational justice, leader-member interactional justice reflects the perception of team members on the quality of communication with leaders, and it can promote team creativity, help enterprises maintain their core competitive advantages, and ensure their prosperity and stable development. Since interactive justice is usually generated within teams, team members often pursue interactive justice. When leaders show sincerity and frankness to their subordinates, members will feel that leaders respect them and attach importance to their opinions , which is conducive to smooth and efficient communication. Thus, it is not only beneficial for leaders to gain the support of the whole team, but also helps to stimulate the emergence of creative ideas during the interaction process, thus effectively enhancing the creativity of the entire team.#br#With a sample of 102 knowledge teams in more than 10 Chinese high-technology firms, this study adopts statistical analysis methods to test the proposed hypotheses. Moreover, it sets intra-team competition as the mediator variable, and power distance orientation as a moderator variable to clarify the internal mechanism of leader-member interactional justice on team creativity from two dimensions of direct and indirect transmission mechanisms.#br#The main findings are as follows. First, leader-member interactional justice has a positive effect on team creativity. Second, the development competition of intra-team competition plays a full mediating role between leader-member interactional justice and team creativity. Third, power distance orientation plays a positive moderating role between leader-member interactional justice and intra-team development competition, and power distance orientation plays a negative moderating role between leader-member interactional justice and intra-team hypercompetition. Fourth, power distance orientation positively moderates intra-team development competition, and plays a mediator role between leader-member interactional justice and team creativity. The higher power the distance orientation is , the stronger the mediator effect will be, and vice versa.#br#By exploring the effect of leader-member interactional justice on team creativity, the study expands the theory of organizational justice. It effectively makes up for the lack of research on the relationship between interactive justice and team creativity within the framework of organizational justice. Moreover, on the basis of the group involvement model, this study not only explores the direct relationship between interactional justice and team creativity, but also highlights the mediating mechanism of intra-team competition, making a significant contribution to the research field of intra-team competition. Besides, the conclusion that power distance orientation can significantly moderate the relationship between leader-employee interactional justice and team creativity is helpful to deepen the understanding of the effectiveness of power distance orientation at the team level.#br#This study also has some significance for team creativity in practice. First, organizations should further improve the awareness of positive interaction between leaders and members, and urge leaders to pay more attention to fair interaction with their subordinates. Therefore, they can carry out a series of training or educational activities to improve the skills and methods of team leaders and improve the interactive fairness of leaders and members. Moreover, leaders should adhere to the values of respect, appropriate behavior, and frankness to interact with members in a positive way, and pass on the norms needed to complete the organizational common goals to members through incentives, appropriate behavior and feedback, so as to improve the effectiveness of information exchange and communication within the teams. Second, in each work team, team leaders need to monitor the competition among the team members at all times. Also, leaders should actively create opportunities to encourage information sharing within the team. For instance, members are encouraged to hold frequent seminars to share information or knowledge, and ensure close communication among members to absorb and integrate suggestions from others to better complete work tasks. Finally, organizations need to cultivate team members with a high power distance orientation. What′s more, leaders should be valued in organizations, for it is conducive to building close relationships with their subordinates, and leaders should care about their subordinates and the whole interests of teams.#br#

How entrepreneurial incubation platform enterprises empower startups and protect their own legitimacy from being harmed by them are important issues to be addressed. According to the relevant literatures on the protection of organizational legitimacy, organizational legitimacy could be harmed because of the cognitive relevance brought by some cooperative relationships or relationships between organizations. Therefore, the literature advocates to solve the problem of organizational legitimacy protection from the perspective of decoupling. In the follow-up research, scholars conceptualize the theory of decoupling as a compartmentalizing mechanism, and believe that the compartmentalizing mechanism can be used to protect the legitimacy of the enterprise. However, the compartmentalizing mechanism can only be used as a short-term emergency governance mechanism instead of a long-term mechanism. First of all, the compartmentalizing mechanism advocates relationship separation, so it is difficult to restrain the behavior of the organizations with problems from the source; secondly, the compartmentalizing mechanism is not forward-looking and belongs to ex-post control, so it is difficult to recover some losses that have already occurred.#br#The relevant viewpoints of institutional entrepreneurship from the perspective of new institutional theory can make up for the limitations of the compartmentalizing mechanism. Institutional entrepreneurship means that under the drive of certain factors, institutional entrepreneurs from a certain organizational field take the initiative to adopt institutional entrepreneurial strategies for institutional entrepreneurial objects, promote the existing institutional reform or form a new system so as to achieve the interests of institutional entrepreneurs. Among them, the organizational field is an important analysis unit connecting the organizational level and the social level, and it is not only suitable for the interactive network formed by competing organizations, but also helpful for the system formed by the focus organization and its important related actors. Given the background of this study, the entrepreneurial ecosystem formed by the focus organization of entrepreneurial incubation platform and its important related actors can be regarded as an organizational field in theory. Entrepreneurial incubation platform enterprises actively adopt a series of institutional entrepreneurial strategies to promote the existing institutional change or form a new system in the entrepreneurial ecosystem, and thus the misconduct of start-up enterprises is effectively restricted so as to protect the legitimacy of entrepreneurial incubation platform enterprises.#br#This study adopts a longitudinal single-case study method, and selects Xiaomi Company as the research object. The results show that entrepreneurial incubation platform enterprises, driven by their own resource endowments and related expected goals, adopt the resource strategies, theorization strategies and cognitive strategies in turn, and gradually build entrepreneurial ecosystem culture and regulations. It brings the start-ups the imitation pressure, coercion pressure and normative pressure from the entrepreneurial ecosystem, and constantly restrains their misconduct. Finally, the legitimacy of entrepreneurial incubation platform enterprises can be effectively protected. #br#The theoretical significance of this paper lies in that it provides a new explanatory logic for the protection of enterprise legitimacy on entrepreneurial incubation platform at the organizational field level, and changes the concept of enterprise legitimacy protection of entrepreneurial incubation platform from passive relationship separation to active source control, which makes up for the limitations of the compartmentalizing mechanism at the inter-organizational relationship level. From a practical point of view, this paper can provide a set of dynamic solutions for entrepreneurial incubation platform enterprises to solve the problem of legitimacy protection along the institutionalized path.#br#Entrepreneurial incubation platform enterprises are suggested to make full use of their social resources and technical management resources to provide all-round support for entrepreneurial enterprises by defining products, cooperative research and development, process design, channel management, investment and financing management, supply chain management and other means. Moreover they should establish exclusive brands, e-commerce channels and internal testing systems, and design corresponding management systems,etc. to constrain any possible misconduct of start-ups. Finally the value of the good relationship with the partners should be stressed.#br#

Low-carbon technological innovation is critical for the realization of the "double-carbon" goals, and thus it is necessary to innovate the existing legal promotion mechanism of low-carbon technological innovation to meet the needs of China's low-carbon economic transformation under the "double carbon" goals. At present, there are four dilemmas in low-carbon technology innovation in China. First, there is dislocation of the division of power and responsibility in low-carbon technology innovation, that is, the dislocation of the division of power and responsibility among the government, enterprises and the public in low-carbon technology innovation. Second, the transformation rate of scientific and technological achievements in low-carbon technological innovation is low. In 2022, the transformation rate of scientific and technological achievements at the provincial and ministerial level in China was only 30%, while the rate in developed economies such as Europe and the United States reached over 50%. There is still a big gap between China and developed economies in the transformation of scientific and technological achievements. Third, the popularization rate of low-carbon technology innovation in publicity and promotion is low. The invention patents generated by low-carbon technology innovation are often highly professional. It is difficult for the general public to have a more consistent view of the actual application context of low-carbon technology. Fourth, there is a lack of a legal guarantee system for low-carbon technology innovation. At present, China has not formulated and issued a baseline law to deal with climate change and control greenhouse gas emissions. There is a lack of a legal system related to international low-carbon technology trade and environmental trade in China.#br#It is argued that the systematic innovation of low-carbon technology in China needs to shift from decentralized technology innovation to integrated low-carbon technology innovation, i.e., from the development mode of single renewable energy to the collaborative innovation of clean and low-carbon energy, from the front end of low-carbon technology research and development to supply-side innovation, from the distributed development of low-carbon technology to the collaborative innovation of the industrial chain, and from fragmented low-carbon technology innovation to institutional integration innovation.#br#This paper provides stimulation incentive mechanisms for low-carbon technology in China. The first is limited technology incentives. The government provides financial and tax support, that is, it stimulates low-carbon technology innovation through financial subsidies and tax incentives. The second is unlimited technology incentives, that is, low-carbon technology innovation is encouraged by market and property rights. The third is collaborative technology incentives. Government support measures and market incentives are applied at the same time. The last one refers to the all-round technology incentives by which a comprehensive and three-dimensional legal system to ensure low-carbon technology innovation could be built.#br#With the emphasis on the importance of establishing a legal mechanism to stimulate low-carbon technological innovation the paper proposes relevant suggestions. Firstly, it is necessary to establish a complete legal system to support low-carbon technological innovation. This means building a legal system that encourages low-carbon technological innovation at the level of laws, administrative regulations, and departmental rules. The second is to innovate the special legislative authorization model for local low-carbon technology innovation, which refers to developing regulatory systems that stimulate low-carbon technology innovation in pilot zones and replicating and promoting them nationwide after obtaining mature legislative experience. The third is to strengthen the dual legal incentives of finance and taxation for low-carbon technology innovation. The fourth is to build a trinitarian mechanism for promoting low-carbon technology innovation legislation for the government, enterprises, and consumers to promote low-carbon technology innovation on the ends of research and development, application, and consumption.#br#This paper clarifies low-carbon technology research and development as the highland of global technology competition in the coming decades, and it needs long-term and sustained large-scale investment. Only by establishing a legal system to stimulate enterprises' low-carbon technology innovation, can it provide stable expectations for enterprises' long-term and high-intensity low-carbon technology innovation investment at the institutional level, and stimulate enterprises' endogenous motivation to carry out low-carbon technology innovation to achieve the "double carbon" goals.#br#

In the information age, data elements have become the most important means of production. With the explosive growth of global data, the market scale expansion of data elements is extremely rapid. Historical development experience has proved that every element marketization has promoted social innovation, and traditional production element marketization has different degrees of influence on innovation capability. Compared with traditional element marketization, data element marketization has some new characteristics, such as non-competitiveness, value difference, strong externality, rapid transtemporal and spatial mobility. These characteristics enable the data element marketization to influence urban innovation capability. In order to enhance urban innovation strength and promote national economic development, it is necessary to establish a data element market, promote the open sharing of government data, enhance the value of social data resources, strengthen the integration and protection of data resources, and open a new innovation-driven pattern. However, it awaits further empirical tests to find out how to allocate data elements by market and give play to their intrinsic value, and verify if the marketization of data elements can strengthen the empowerment of data elements and promote urban innovation capability.#br#In this context, this paper takes the cities that have realized the marketization of data elements as the objects of the quasi-natural experiment and analyzes the difference in urban innovation levels before and after the establishment of a data element market from both theoretical and empirical aspects. The influence mechanism of data element marketization on urban innovation capability has been revealed as well. It provides theoretical support for the establishment and improvement of urban innovation system and the formulation and implementation of data element transaction policies from the perspective of digital economy.#br#The following hypotheses based on the correlation analysis are proposed: (1) data element marketization improves the urban innovation capability of cities; (2) it also improves urban innovation capability through the development of digital finance; (3) data element marketization can promote urban innovation capability by promoting industrial structure optimization; (4) data element marketization can improve urban innovation capability by promoting information talent aggregation; (5) there is heterogeneity among cities in data element marketization to improve urban innovation capability. Drawing on the panel data of 258 prefecture-level cities in China from 2009 to 2019, the paper constructs a multi-phase difference-in-difference (DID) model to evaluate the impact of data element marketization on urban innovation. Its internal influencing mechanism and urban heterogeneity are also analyzed.#br#The results show that the marketization of data elements can significantly improve the effect of urban innovation and pass the robustness test. Through the mechanism test, it is found that in order to enable data element marketization to promote urban innovation, it is essential to explore the balance point between urban scale and digital finance development, promote industrial integration and gather information talents. The driving effect of data element marketization on innovation is stronger in the eastern and western cities, key cities and cities with a high scientific education level. This paper explains the influence mechanism of data element marketization on the urban innovation effect, which is of practical significance for improving marketization allocation of elements and strengthening data elements.#br#In summary,this paper draws on the urban panel data of the city and the establishment of a data trading platform to conduct a quasi-natural experiment. It then adopts the multi-period DID model to verify the impact of data element marketization on urban innovation capability, and explore the internal influence mechanism of data element marketization on the improvement of urban innovation capability from the perspectives of the effect balance of digital finance, the improvement of industrial integration and the aggregation of information talents. It enriches the theoretical analysis framework of the impact of data element marketization on urban innovation capability, and provides an empirical basis for related studies. It is proposed to speed up the improvement of the data trading platform and cultivate a credible data element trading market; the government should give full play to the innovation-driven role of policies in the establishment of the data element market, and employ the information and knowledge technologies in urban management.#br#

With the deep integration of modern information technology into the real economy, digital transformation enables the transformation and upgrading of traditional industries, expedites the birth of new industries, new forms and new models, and promotes enterprise value creation.However, the research on its impact mechanism is insufficient, and from a static perspective, the existing research has not yet explored the role of enterprise life cycle theory in the relationship between digital transformation and value creation, while the resources owned by enterprises at different stages, including the organizational structure, the external environment and the strategic measures are quite different, which may lead to different impacts of digital transformation on enterprise value creation at different stages.Therefore, the introduction of the dynamic perspective of enterprise life cycle in this paper can better reveal the dynamic law of the impact of digital transformation on value creation, and help enterprises adopt appropriate contingency strategies to implement digital transformation.#br#To this end, this study focuses on the impact of enterprise life cycle on the relationship between digital transformation and value creation, integrates the theory of life cycle and the theory of competitive strategy into the research framework of the relationship between digital transformation and value creation, and establishes a theoretical model among digital transformation, competitive strategy and value creation from the perspective of life cycle.Specifically, it first uses the machine learning method based on Word2Vec to build digital transformation and competitive strategy indicators, forming unbalanced panel data between 2016 and 2022 for A-share listed companies in Shanghai and Shenzhen; then, it empirically tests the relationship among digital transformation, competitive strategy and value creation from the perspective of life cycle.#br#In the first part, the study verifies the role of enterprise life cycle in the relationship between digital transformation and value creation.It is found that the positive and significant impact of digital transformation of listed companies on enterprise value creation is mainly concentrated in growing enterprises, but not in mature enterprises.The findings expand the research on the impact of digital transformation of traditional industries on corporate value creation, reveal the boundary of enterprise life cycle in the relationship between digital transformation and value creation, and provide a way to further explore the process of digital transformation affecting value creation in the future.In the second part, by integrating life cycle theory and competitive strategy theory into the research framework of the relationship between digital transformation and value creation, the study establishes a theoretical model about digital transformation, competitive strategy and value creation from the perspective of life cycle, and clarifies the impact mechanism of digital transformation on value creation.It is confirmed that the digital transformation of enterprises is conducive to the formation of differentiation strategy, and value creation is enhanced through the mediating variable of differentiation strategy, which is mainly aimed at enterprises in the growth period of their life cycle.In the third part, this study proposes and verifies the moderating role of enterprise scale and time trends between digital transformation and value creation.The impact of enterprise digital transformation on value creation is found to be stronger in smaller enterprises; as time goes by, the impact of enterprise digital transformation on value creation becomes weaker and weaker.#br#In summary, this study reveals the boundary of enterprise life cycle in the relationship between digital transformation and value creation, opens the black box of the relationship between digital transformation and value creation, and provides theoretical and empirical evidence for a comprehensive and objective evaluation of the effect of digital transformation.In the development of digital technology in China, traditional enterprises are expected to focus on making full use of digital transformation to achieve differentiated leadership and value creation in the growth stage and strive to enter the mature stage with the largest market share.In the mature stage, it is difficult for enterprises to gain competitive advantages only by relying on the role of digital transformation in reducing costs and improving efficiency, and they should also promote substantive R&D and innovation in enterprises to effectively avoid the possibility that the positive impact of digital transformation on value creation may gradually weaken from the growth stage to the mature stage.#br#

Business model innovation is an important way of enterprise development. Continuous business model innovation can help enterprises explore more business value to occupy a favorable position in the market competition. Therefore, it is of great practical significance to explore how to promote enterprise business model innovation. Scholars have conducted some research on the internal and external impact factors of enterprise business model innovation, and confirmed that organizational routine, resource reconfiguration, innovation flexibility and technological turbulence are the key factors for enterprises to achieve business model innovation. Some scholars have focused on the relationship between multi-factor linkage and enterprise business model innovation from the perspective of configuration. Multi-factor linkage has become an indispensable theoretical perspective in the analysis of enterprise business model innovation. However, it is not clear how organizational routine, resource reconfiguration, innovation flexibility and technological turbulence can be integrated to act on enterprise business model innovation. #br#In view of this, drawing on 258 valid samples, this study uses fsQCA method to explore the complex causal relationship between antecedent variables (organizational routine, resource reconfiguration, innovation flexibility and technological turbulence) and enterprise business model innovation, in order to clarify whether a single factor constitutes the necessary condition for high/non-high business model innovation and which configurations will lead to high/non-high business model innovation. It is firstly found that no single factor can be a necessary condition that leads to high/non-high business model innovation. Secondly, there are three configurations that lead to high business model innovation, namely, “self-adaptive type of routine plus resource guarantee”, “internal and external synergy-driven type of routine making up for resource”, and “internal and external synergy-driven type of routine plus resource stability”. Finally, there are three configurations that lead to non-high business model innovation, and these configurations have an asymmetric relationship with the configurations that achieve high business model innovation. In addition, innovation flexibility plays a prominent role in leading to high/non-high business model innovation, high utility routine is an important condition that leads to high business model innovation, and non-high resource reallocation is an important condition that leads to non-high business model innovation.#br#The implications arising from this study for related enterprises are presented. Firstly, enterprises should accurately identify and reasonably link impact factors according to their actual situation to promote business model innovation. Specifically, enterprises should formulate corresponding innovation strategies based on the combinations of different factors and market demands; meanwhile they should leave certain space for adaptation and adjustment, so that the new resources and technologies can be introduced to realize business model innovation. Secondly, enterprises need to draw on their advantages to make up for their shortcomings, so as to avoid non-high business model innovation. Finally, enterprises should attach great importance to the impact of innovation flexibility on business model innovation, improve their perception ability and adaptability to changes in the environment, flexibly adjust their strategies according to market demand, timely introduce external high quality resources and technologies, and improve innovation flexibility, so as to provide a strong guarantee for business model innovation.#br#The innovations of this study are as follows. First of all, different from traditional linear research, this study integrates organizational routine, resource reconfiguration, innovation flexibility and technological turbulence from the perspective of configuration, explores the impact of multi-factor linkage on enterprise business model innovation, and provides a new perspective for the study of enterprise business model innovation. Secondly, by horizontal comparison of the configurations that lead to high/non-high business model innovation, this study finds out the important conditions that lead to high/non-high business model innovation, which helps to reveal the differentiated impact of each factor on the enterprise business model innovation. Finally, different from the symmetry assumption of causal relationship in traditional linear regression, this study finds that there is causal asymmetry in the configurations that lead to enterprise business model innovation, which helps to further explore the complex causal relationship between multiple factors and enterprise business model innovation.#br#

Performance feedback is conducive for enterprises to "understanding themselves and their competitors" so as to occupy a favorable position in the fierce competition.It represents the gap or surplus between the actual performance level and the expected performance level of enterprises in the production and operation processes, and has reference values for the development of enterprises.According to the types of expectation level, performance feedback can be divided into historical performance feedback and industry performance feedback.The history performance feedback is based on the previous performance of an enterprise itself, while the industry performance feedback is based on the performance of its competitors in the same industry.Existing studies have verified that both kinds of performance feedback have significant impacts on enterprises behaviors.On the impact of performance feedback on enterprise innovation behaviors, most existing studies measure performance feedback based on financial indicators.However, for the exploration of enterprise innovation activities, the performance feedback measured by innovation results has clear directivity, and thus there is the need to provide more accurate decision-making references for enterprise innovation.R&D cooperation is an important behavior for enterprises to "go global" and one of the key factors that determine enterprise innovation capability and competitiveness.Although R&D cooperation provides the advantages of knowledge and information resources for enterprises, it also brings corresponding management costs and risks.Therefore, when enterprises face different innovation performance feedback, how should they weigh the costs and benefits of R&D cooperation and adjust their R&D cooperation? It's worth investigating.#br#By screening Chinese A-share listed companies in the computer, communications and other electronic equipment manufacturing industries from 2010 to 2020, this paper obtains 2 748 unbalanced panel data of 434 listed companies.The influences of innovation performance feedback including history and gap,the industry innovation performance surplus and gap on R&D cooperation are tested by using the two-way fixed effect models.The moderating effect of R&D intensity on the relationship between innovation performance feedback and R&D cooperation is then verified.In the robustness test, the reliability of research results is tested by changing the measurement methods for history and industry innovation performance feedback.In the further analysis, group regressions are carried out for state-owned enterprises and non-state-owned enterprises to verify the differential impact of innovation performance feedback on different types of enterprises.Group regressions are also carried out for family enterprises and non-family enterprises.#br#Results show that innovation performance expectation gaps including the dimensions of history and industry negatively affect enterprise's R&D cooperation, and innovation performance expectation surplus positively affects enterprise's R&D cooperation;enterprise's R&D intensity positively moderates the negative effect of innovation performance expectation gap on R&D cooperation, and enterprise's R&D intensity also positively moderates the positive effect of innovation performance expectation surplus on R&D cooperation.In the expanded analysis, compared with non-state-owned enterprises,the innovation performance expectation surplus of state-owned enterprises has a greater positive impact on R&D cooperation, and also a greater negative impact when it falls;compared with non-family enterprises, the innovation performance expectations surplus of family enterprises has a great positive impact on the breadth of R&D cooperation but a smaller impact on the depth of R&D cooperation, while their expectation gaps have a greater negative impact on the breadth of R&D cooperation and a smaller negative impact on the depth of R&D cooperation.#br#This paper first broadens the research perspective of performance feedback theory with focus on the detailed object of performance feedback measured by innovation indicators, and elaboration of its influence on R&D cooperation.Second, the dimension of innovation performance expectation is refined by the research model,including the history and industry innovation performance feedback, innovation performance expectation surplus and gap.Third, in order to make up for the lack of explorations on the antecedents of R&D cooperation, this study focuses on the mechanism of innovation performance feedback, one of the antecedents of R&D cooperation, and enriches the perspective of research on the antecedents of R&D cooperation.Fourth, enterprises are divided into state-owned enterprises and non-state-owned enterprises( family enterprises and non-family enterprises), and the differences of their innovation performance feedback on their R&D cooperation are explored to provide more targeted guidance.#br#

The importance of big data in innovation and entrepreneurship activities is well-acknowledged.The big data revolution has further refined the information access channels of entrepreneurs, fundamentally changed the social demand diagnosis and network resource access methods of new ventures, and promoted the innovation and catch-up of latecomer entrepreneurs in knowledge, products and business models.However, it should be pointed out that the emergence of massive data has also exacerbated the complexity and uncertainty of the economic environment, and new ventures are facing many challenges, such as data compression, knowledge iteration and other issues.Therefore, in the big data-driven context, how to seize entrepreneurial opportunities, and improve the efficiency of interactive integration of knowledge resources has become an urgent issue to be solved in its survival and growth process.On the one hand, faced with the practical difficulties of resource constraints and insufficient knowledge base, entrepreneurs need to establish efficient knowledge integration processing procedures to fill the knowledge gaps, and combine new technologies through knowledge coupling to reduce resource redundancy and entrepreneurial difficulty.Big data capability, as a low-order capability for carrying out data perception, integration and analysis, is regarded as the basis for forming high-order dynamic capabilities.The entrepreneurs rely on big data technology to accurately identify value information in massive data, optimize the process of knowledge transformation, and realize the integration and reconstruction of knowledge, showing a theoretical picture from low-order big data capability to dynamic knowledge coupling.On the other hand, enterprises need to improve the efficiency of resource integration through the coordination and alignment of IT and business strategies, so that IT personnel and business managers can reach a strategic consensus.The IT and business strategy alignment is an important boundary condition to be included.#br#This paper explores the mechanism of big data capability on the entrepreneurial performance of new ventures based on the dynamic capability theory and knowledge-based view theory.New ventures founded more than 1 year but less than 8 years ago are chosen as the research object with 212 valid survey data.By constructing a theoretical model with knowledge coupling as the mediator variable and IT—business strategy alignment as the moderator variable, it analyzes the mediating mechanism and boundary conditions of different knowledge coupling modes on the survival and growth of new ventures.The results show that big data capability has a positive impact on knowledge coupling and entrepreneurial performance of new ventures, and it can also affect the entrepreneurial performance of new ventures through the mediating role of knowledge coupling.Complementary knowledge coupling is inversely U-shaped with entrepreneurial survival performance, and alternative knowledge coupling is positively correlated with entrepreneurial growth performance.The IT—business strategy alignment positively moderates the relationship between big data capability and knowledge coupling.#br#The theoretical contributions of this paper lie in three aspects.First, it introduces big data capability to the survival and growth of new ventures, and confirms that big data capability has a positive impact on entrepreneurial performance.This conclusion enriches the relevant research on the mechanism of big data capability on entrepreneurial performance, and also provides positive theoretical support for further solving the "IT paradox".Second, this paper reveals the mediating mechanism of knowledge coupling in different configurations between big data capabilities and entrepreneurial performance of new ventures.According to the dynamic capability theory, for complementary knowledge, big data capability improves the opportunity identification and business capture of knowledge resources for new enterprises; for alternative knowledge, acquiring knowledge in similar fields within the existing product niche can help improve the level of specialization and innovation depth of knowledge.While complementary knowledge coupling and entrepreneurial survival performance have an inverted U-shaped path relationship, alternative knowledge coupling is conducive to the continuous improvement of enterprise competitiveness.This conclusion enriches the research on relevant mechanisms of knowledge coupling.Finally, this paper clarifies the moderating role of IT—business strategy alignment between big data capability and knowledge coupling, and finds that IT—business strategy alignment can positively moderate the relationship between big data capability and knowledge coupling, which further expands the theoretical boundary conditions of the relationship between big data capability and knowledge coupling.#br#

Supply chain digitalization is a crucial opportunity for China's industrial clusters to integrate their supply chains and innovation chains. However,enterprises in China face challenges such as barriers to information and knowledge exchange and a lack of feedback mechanisms across production,distribution and sales processes. These challenges increase the uncertainty and risk of enterprise innovation. In the context of trade wars and anti-globalization,sharing innovation resources and information between Chinese enterprises and their upstream and downstream partners is the most important task. For enterprises,digital technologies in the supply chain reshape business processes,synergy mechanisms,organizational forms and value orientation. For China,supply chain digitalization accelerates the establishment of a "dual circulation" development pattern in which the domestic economic cycle plays a leading role while the international economic cycle remains its extension and supplement. In order to promote China's path to modernization,it is of great theoretical and practical significances to study the economic effects of supply chain digitalization,which has been an important topic of academic attention in recent years.#br#The existing studies have demonstrated that supply chain digitalization can not only help traditional enterprises monitor logistics but also determine product flow,smooth information flow,and trace capital flow. However,the existing studies have not yet made a useful attempt to explore more scientific and planned quantitative methods for supply chain digitalization,and the research methods of most of the scholars focus on qualitative research and theoretical exploration. It remains a" black box" to be explored whether supply chain digitalization can help enterprises innovate. This paper argues that supply chain digitalization builds an open innovation platform for enterprises to promote enterprise innovation. Within the open innovation platform,the relationship between the firm and its supply chain partners affects the firm's innovation,which in turn leads to a decrease in the marginal effect of supply chain digitization. Then this paper focuses on the following three parts to expand the theoretical boundaries of supply chain digitization and open innovation and proposes corresponding conclusions and countermeasures based on the relevant contents. The first part examines the marginal contribution of supply chain digitalization to firm innovation. The second part discusses the channels of action of both. The third part further examines the heterogeneous impact,innovation synergies and innovation spillover effects of supply chain digitalization.#br#Therefore,this paper uses the panel data consisting of 15 892 samples including Chinese A-share listed companies,spanning the period from 2008 to 2021. It constructs a supply chain digitization index for internal organizations using the TF-IDF formula and Python text mining technology to empirically test the non-linear relationship between supply chain digitization and corporate innovation. Then,it identifies and tests the mechanisms of supply chain heterogeneity,using open innovation theory as a clue. Second,among different firm types,this paper discusses the differential impact of supply chain digitization. Finally,this paper constructs three other supply chain digitization indicators and tests their impact on innovation separately.#br#The conclusions of this paper are as follows. First,the relationship between supply chain digitalization and enterprise innovation shows an inverted U-shape. This conclusion still remains valid after the robustness tests and the U test. Among the sub-indicators of supply chain digitalization,logistics digitalization,product flow digitalization and information flow digitalization have significant inverted U impact. But capital flow digitalization has a significant linear positive impact. Second,supply chain heterogeneity is an important channel for the marginal reduction of the impact of supply chain digitalization on enterprise innovation. Third,further research finds that the impact of supply chain digitalization on enterprise innovation will be more prominent among enterprises with strong absorption capacity and low supply chain discourse power. In addition,the innovation synergy of supply chain digitalization across inter-organization and the innovation spillover effects of supply chain digitalization across inter-industry can also promote enterprise innovation. This paper clarifies the intrinsic link between supply chain digitalization and innovation,which has important theoretical significance and practical enlightenment for the development of supply chain digitalization,the improvement of innovation efficiency,the promotion of high-quality development,and the development of open innovation theory.#br#

Science and technology law, with its issue-oriented characteristics, is prone to a lack of systematism. This problem becomes more obvious with its ever-enlarging research domains and issues and bears the following characteristics: first, the hot spot of research has been changed from biotechnology to dual emphasis on biotechnology and information technology; second, with the market gradually replacing government as the main power for the operation of technological innovation, issues on privatization, ownership and transfer of technological achievements are more and more emphasized; third, researchers are more engaged in searching for a solution to the "man-to-man" and "state-to-state" control problem caused by "technological power". Though new domains and issues enrich the scope of research for science and technology law, they have also made it more difficult to systematize the research, and the systematic construction of science and technology law still has a long way to go.#br#This study delves into legislation and the research of recent years and finds a way towards systematizing science and technology law through the method of induction. The basic principles and regulatory trends of technology legislation are then summarized. "Humanism" is eligible to be the principle of science and technology law. It is manifested in both technological philosophy and the legal system, especially with the rise of "fourth-generation human rights", the enhanced enforcement of intellectual property rights, and more attention paid to safety in the field of technology. From this trend, a paradigm shift towards science and technology law that focuses on "humanity" has come into being and can be subdivided into four major parts: "freedom of scientific research", "incentive for innovation", "safety guarantee" and "sustainable development".#br#Combining humanism with the modernization of governance, the study manifests the consummation of regulation for science and technology law from four aspects. To begin with, the participation of multiple subjects is required in order to enhance the efficiency and democracy of regulation. In the next place, with the increasing power of super-platforms obscuring the distinction between the private and public sectors, the objects of regulation should be enlarged to cover every aspect that may have an adverse effect on people′s freedom. Meanwhile, anti-monopoly laws should play a more active role in regulating enterprises with market power. Furthermore, since there is a need for a "precautionary principle in a strong sense" to face a world filled with risks, the timing of regulation interference should be advanced. Therefore, the establishment of monitoring and early warning systems, the improvement of information disclosure mechanisms, and the requirement of "design compliance" are likely to be reflected in more and more technology legislation. Last but not least, a comprehensive method of regulation, including criminal justice, governance of technology, and regulation based on contexts, should be considered for the refinement of supervision, with dynamic adjustment and extending the authority of legislation as supplements. The aforementioned aspects related to regulation from the latest legislation and research constitute the external representation of the system of science and technology law.#br#The conclusions about science and technology law guided by the principle of "humanism" and its regulatory trend present opportunities for future research. First, future legislative and research efforts should be paid on the relationship between the government and the market, coordinating and balancing these two powers to better serve the goal of science and technology law. Second, future legislative attempts should focus on the balance between safety and human rights. Third, although how the cooperation and competition of different countries in the field of technology may shape future international and national law is still to be seen, the principle of "technology neutrality" is beyond dispute, and following this principle, specific strategies to respond to competition should be considered with an open mind. Finally, the interrelationship between technology and human nature should be further explored.#br#

China is one of the largest digital economies in the world, and it is served as one of the most important testing grounds for digital transformation. Although digitalization is constantly promoting the diffusion of knowledge in physical and virtual spaces, the existing studies have rarely focused on the potential power to cause the changes in regional innovation geography. Since the digital technologies have triggered a new round of innovation growth, they are reshaping the geography of regional innovation in China. This paper aims to investigate the reshaping effect of digitalization on regional innovation geography based on the theory of backwardness advantage. It is of great practical significance for digital dividend sharing and regional coordinated development by judging scientifically the impact of digitalization on China′s regional innovation geography.#br#　　Using 283 city observations in China from 2013-2021,this paper systematically studies the role of digitalization in reshaping regional innovation geography. It selects four dimensions of digital infrastructure, digital element input, digital industry output and digital transaction development to calculate the digitalization index at the city level. Then it constructs the convergence model incorporating the digitalization moderating mechanism to examine the impact of digitalization on the convergence of regional innovation. This paper also investigates the heterogeneous influence of digitalization on the internal innovation convergence process in the northern and southern regions. Furthermore, using the panel threshold regression method, it reveals the nonlinear evolution of the impact of digitalization. The results imply that, first, the overall level of digitalization in China has been continuously improving in recent years, but the digital construction of cities has become polarized. Second, the convergence process of China′s regional innovation and digitalization facilitates the acceleration of this trend significantly. This result still holds after a series of robustness tests. Third, the heterogeneity analysis shows that there is club convergence in regional innovation in the north and south of China, and the innovation convergence rate in the south is faster than that in the north, while the acceleration effect of digitalization on innovation convergence in the north is obviously stronger. Last, the digitalization has an obvious double-threshold effect on regional innovation convergence. Only when the digitalization level reaches the threshold value of 0.154 can it show a significant acceleration effect on the convergence process of regional innovation. #br#　　To sum up, this paper explains the impact of digitalization on regional innovation geography and provides a reference for the new round of digital construction strategies in China. Then it puts forward the following policy implications. Overall, the digital infrastructure construction should be further popularized, with special emphasis on improving the network penetration of underdeveloped cities, and incorporating marginal cities into digital networks to realize economies of scale. For the central government, by scientifically judging the influence of digitalization on regional innovation geography in different regions and stages, digital construction can be an effective and new means to promote high-quality and coordinated regional development. Late-developing cities should employ comparative advantages and digital means to strengthen innovation cooperation with developed cities, further transform exogenous knowledge into endogenous pursuit power, and achieve high-level convergence in innovation. While developed cities should make full use of digital infrastructure to expand the effective scope of innovation spillovers, formulate sustainable inter-regional digital economic dividend sharing policies, and drive late-developing regions to carry out innovation activities at different levels. #br#　　Compared with previous studies, this paper contributes to the literature in three important ways. First, it studies the role of digitalization in reshaping the regional innovation geography, which is an expansion of the research field of digitalization affecting regional innovation. Second, by introducing a digital adjustment mechanism based on the conditional β convergence model, this paper overcomes the limitation that the conditional β convergence model is only used to describe convergence facts. Third, it further analyzes the threshold conditions for digitalization to accelerate the process of regional innovation convergence, and studies the characteristics of regional clubs in the effect of digitalization on reshaping the regional innovation geography. By analyzing threshold effects and heterogeneous facts of digitalization, it provides a decision-making reference for the government to make targeted digitalization strategies.#br#

As an emerging economy, China has made remarkable economic progress over the past 40 years.Along with the reform and opening-up, China has ridden and embraced the global wave of information technology early, and fully entered the information-based era driven by the interactive fusion of big data, artificial intelligence, and Internet of Things and others.In such an information-based era, enterprises are urged to develop information technology so as to avoid lagging behind and keep sustainable growth.Information technology can bring many benefits to enterprises, such as optimizing the production process, enhancing the work efficiency and customer satisfaction, and these benefits are ultimately reflected in the improvement of firm performance.Although the existing literature has proved that information technology is beneficial to firm performance, the internal influence mechanism of information technology on firm performance is not clear.Therefore, how information technology drives firm performance becomes a noteworthy issue for global managers and scholars.#br#In today's information age, information technology promotes the emergence of massive knowledge, data and information, meanwhile,it has posed many challenges to enterprises.Consequently, cultivating knowledge management capability that can better exploit firm's internal knowledge as well as acquire, absorb and utilize external knowledge is necessary for enterprise development.Additionally, the appearance of information technology influences firm survival mode, thereby prompting enterprises to change the original business process to keep pace with the times.In other words, business model innovation is also important for enterprise development.Thus, knowledge management capability and business model innovation are considered as two crucial factors in the relationship between information technology and firm performance.#br#Following the resource-based view and dynamic capability theory, and the logic of resource-capability-performance framework, this study discusses the influence mechanism of information technology on firm performance through the mediation of knowledge management capability and business model innovation.Taking innovation-oriented enterprises as the research object, 297 sample data are collected by a questionnaire survey, and empirical tests are carried out by applying the partial least squares structural equation model (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).#br#The PLS-SEM results show that (1) information technology positively and directly affects firm performance; (2) information technology positively affects knowledge management capability, which in turn stimulates business model innovation, ultimately driving firm performance; (3) knowledge management capability and business model innovation play a serial mediating role in the relationship between information technology and firm performance.In addition, there are three configurations to achieve high levels of firm performance according to the fsQCA results , which indirectly prove the existence of serial mediating effect.#br#This study makes three primary contributions.First, it provides important advancements with respect to the theory of firm performance from the perspective of information technology.The research results expand the research scope about the factors influencing firm performance.Second, it reveals the internal influencing mechanism of information technology on firm performance by introducing the serial mediators of knowledge management capability and business model innovation, which enriches the resource-based view and dynamic capability theory, and provides insights for sustainable firm growth.Third, from methodological perspective, the study enlightens further development of the understanding of organizational issues about improving firm performance by combining symmetric and asymmetric statistical tools.#br#The valuable managerial implications arising from the study are presented.First, enterprises need to pay attention to the cultivation of information technology and the development of information platform.Second, enterprises are advised to build a perfect knowledge management system so as to enhance the abilities of knowledge acquisition, knowledge conversion and knowledge application.Third, enterprises are suggested to attach great importance to business model innovation.Finally, according to the actual situation, enterprises can choose the development path of “information technology—knowledge management capability—business model innovation—firm performance”.Meanwhile the study is subject to a number of limitations, and future work can optimize data collection tools and conduct longitudinal tracking to deeply explore the causal logic between variables, and introduce more moderating and mediating variables to improve the theoretical results.#br#

With the rapid development and application of digital technology, organizations are facing tremendous changes. Employees′ taking charge at the microlevel is of great significance to organizational change. How to stimulate employees′ taking charge has become a topic of common concern for managers and scholars. In addition, the new generation of employees is becoming the main force in the workplace, and they place more emphasis on long-term career development. Meanwhile, with the application of the management research theory summarized under the western culture in the practice of human resource management in China, the phenomenon of "acclimatization" frequently occurs, and human resource management practices face a series of new challenges. Therefore, it has become an urgent need for enterprises to integrate excellent Chinese traditional culture into management and build developmental human resource management practices with the coordinated development of organizations and employees as the core. Developmental human resource management practices focus on investing in employee development, cultivating various abilities required for long-term career development, giving employees full autonomy, and providing employees with various job development opportunities so as to enhance their ability, motivation and opportunities. It can help employees take greater responsibility for the organization and change their behavior. Therefore, following the theory of resource conservation and the framework of "AMO", this study explores the impact mechanism of developmental human resource management practices on employees′ taking charge, and analyzes the mediating role of job crafting and the moderating role of Zhong-yong thinking.#br#This study accurately pushes questionnaires to employees and managers through a professional data collection platform. In order to minimize the impact of common method bias on the results, this study conducts a questionnaire survey in three periods, one month apart each time. Finally, 349 valid questionnaires are obtained by matching the three periods of questionnaires. Hypotheses are tested through multiple hierarchical regressions based on 349 valid samples.#br#The results show that (1) developmental human resource management practices have a positive impact on employees′ taking charge. Developmental human resource management practices can improve the ability, motivation and opportunity utilization of employees, thereby promoting their taking charge. (2) Job crafting plays a mediating role between developmental human resource management practices and employees′ taking charge. Developmental human resource management practices perceived by employees can provide them with the resources needed for long-term career development. Employees acquire and accumulate resources through job crafting, and are more likely to engage in behaviors aimed at obtaining additional resources, such as taking charge. (3) Zhong-yong thinking positively moderates the relationship between developmental human resource management practices and taking charge, and the moderating effect can be mediated by job crafting. Employees with deep-rooted Zhong-yong thinking are good at looking at problems from an overall perspective and handling problems in an integrated and harmonious way, which can generate new ideas to bridge differences and achieve harmony, thus further promoting the proactive behavior of employees.#br#This study enriches the relevant theoretical research on taking charge, and has important practical significance for organizations to stimulate employees′ proactive behavior through the implementation of human resource management practices. First, from the perspective of HRM practice perceived by employees, this study discusses the impact on their taking charge, which not only expands the research on the consequences of developmental HRM practices, but also enriches the research on the antecedents of employees′ taking charge. Second, different from previous studies, it reveals the mediating mechanism of job crafting from the perspective of resource conservation theory. In combination with the Chinese local cultural context, this study takes employees′ Zhong-yong thinking as a moderating variable, enriching the research boundary of taking charge. Finally, it is suggested that enterprises should recruit employees with high Zhong-yong thinking and implement developmental HRM practices at the same time, stimulate employees to carry out work design in a bottom-up way, and encourage employees′ taking charge. By attaching importance to the implementation of developmental HRM practices in the system, the organization and employees will be promoted to co-exist and prosper together.#br#

Since 2018, the technology bottlenecks represented by semiconductors and chips have attracted widespread attention in China. In order to solve the problems and meet the requirements of high-quality development, China needs to make technological breakthroughs as quickly as possible, increase government support, and strengthen the innovation ability of enterprises. Therefore, it is an important strategic issue of how to promote the enterprise innovation of industries with technology bottlenecks in China in recent years. In addition, solving these problems is also one of the incentives proposed by the Fifth Plenary Session of the 19th CPC Central Committee for the new development pattern of "taking the domestic circulation as the main body". Although existing studies have provided some theoretical basis,it is a the relatively new concept, and there are few studies on government subsidies and enterprise innovation in the field of technology bottlenecks, and few kinds of research can be carried out at the micro level of enterprises on the new development pattern.#br#Since government subsidies not only have “crowding-in” and “crowding-out” effects on enterprise innovation, but also may vary according to the characteristics of countries and specific industries, the conclusions of existing studies on the effect of government subsidies on enterprise innovation are still controversial. Therefore, this paper tries to explain the incentive mechanism of government subsidies by introducing the tournament theory. Employing the data of listed enterprises in the semiconductor and chip industry which represent China's technology bottlenecks from 2011 to 2020, this paper combines with the new development strategy of domestic circulation put forward by the government in recent years, and constructs the moderating variable of the enterprise participation degree in domestic circulation. Through empirical analysis, it studies the incentive effects of government subsidies on innovation output of enterprises facing serious technology bottlenecks and the importance of the active participation of relevant enterprises in domestic circulation in this process as well.#br#The results show that as a vital method for enterprises to receive money from the government, there is an inverted U-shaped relationship between government subsidies and the innovation output of enterprises with technology bottlenecks,namely as the government subsidies are getting higher, the innovation of the enterprise output motivated by the subsidies increases first and then diminishes until the perverse incentives for output decreases, and high-quality innovation is more difficult to achieve than the overall innovation. This reflects that although subsidies are important measures for the government to promote innovation, more subsidies are not always the better. For the innovative problems that are difficult to overcome in the industry with technology bottlenecks, only relying on large government subsidies may not generate good incentives for high-quality innovation results, and the technology bottlenecks still exist. Besides, on the basis of the domestic circulation which aims to actively expand domestic demand and improve the domestic market under the new development pattern, the degree of participation in the domestic circulation can moderate the inverted U-shaped relationship between government subsidies and the innovation output of enterprises, namely as being able to further enhance the benefits of government subsidies and ease the inverted U-shaped relationship. This shows that the enterprises with technology bottlenecks may achieve innovation breakthroughs through the domestic market, which is also in line with the actual needs of China and the relevant national policy guidance. In addition, some robustness tests are used to check the robustness of the conclusions.#br#Different from the macro or policy research under the "new development pattern", this study focuses on the micro level and makes a detailed analysis with focus on the enterprises with technology bottlenecks represented by semiconductors and chips. Furthermore given the quality of innovation, both high-quality innovation and overall innovation output of these enterprises are analyzed; in addition to the traditional theory, the tournament theory is introduced to explain the relationship between government subsidies and innovation of enterprises. Finally, the moderating variable of the degree of participation in domestic circulation is introduced and constructed, which expands the potential mechanisms of government subsidies and innovation behavior.#br#

With the rapid development of Internet technology, the cost and threshold for users to participate in innovation and entrepreneurship activities have significantly decreased.As a result, innovation and entrepreneurship have become widely-participated social activities.User entrepreneurship has become an important business model and approach, playing a positive role in promoting economic development and social progress.In the process of user entrepreneurship, resources are crucial, and the network embedding of innovation and entrepreneurship ecosystem plays an important role in user entrepreneurs' access to and utilization of external resources.Extant research in the field of user entrepreneurship primarily focuses on the user innovation stage, with only a few studies extending to the user entrepreneurship stage.While some studies have explored the transformation process from user innovation to user entrepreneurship from the perspectives of industry attributes, user identity characteristics, and open interaction, there is still a lack of in-depth entrepreneurial research from theoretical perspectives such as entrepreneurial competencies and network relationships, as well as the modes and performance of user entrepreneurship.#br#Following user innovation theory, this study takes user-entrepreneurial enterprises embedded in the innovation and entrepreneurship ecosystem as the research object and constructs a model to examine the relationship between resource innovation capabilities, entrepreneurial modes, and entrepreneurial performance, and these variables are all measured using the Likert 5-level scale.The study also explores the moderating roles of business network embeddedness and platform network embeddedness in the innovation and entrepreneurship ecosystem in this relationship.Some user startups that have settled in the crowd innovation space from Beijing, Shanghai, Guangzhou, and Guilin are selected for investigation.The data collection is mainly carried out through online distribution and offline on-site distribution of questionnaires, with the respondents being founders and middle and senior managers of the enterprise.There are 221 valid questionnaires obtained out of 450 questionnaires.The multiple linear regression model is constructed to verify the hypotheses.#br#It is found that, first, resource acquisition innovation capability helps to improve the survival performance of user entrepreneurs, and resource utilization innovation capability helps to improve the growth performance of user entrepreneurs.Second, user entrepreneurs with strong resource acquisition innovation capability tend to choose collaborative entrepreneurial mode, while those with strong resource utilization innovation capability are more likely to choose autonomous entrepreneurial mode.Third, collaborative entrepreneurial mode helps to improve the survival performance of user entrepreneurial firms, and autonomous entrepreneurial mode helps to improve the growth performance of user entrepreneurial firms.Fourth, collaborative entrepreneurship plays a partially mediating role in the influence of resource acquisition innovation capability on survival performance, while autonomous entrepreneurship plays a partially mediating role in the influence of resource utilization innovation capability on growth performance.Fifth, the dual network embeddedness of innovation and entrepreneurship ecosystem plays a positive role in the influence of resource innovation capability on entrepreneurial modes, and also plays a positive role in the influence of entrepreneurial modes on entrepreneurial performance.This suggests that the embedding of user entrepreneurial ventures in the innovation and entrepreneurship ecosystem not only helps to select appropriate entrepreneurial modes, but also promotes entrepreneurial performance.#br#This paper extends the study of user innovation to user entrepreneurship, and reveals the influence mechanism of user innovation capability on the choice of entrepreneurial mode and entrepreneurial performance.It deeply analyzes the influence of user entrepreneurs' own resource innovation capability on the choice of entrepreneurial mode, as well as the mechanism of choosing different entrepreneurial modes on entrepreneurial performance.The results also reveal that the dual network embeddedness of the innovation and entrepreneurship ecosystem has played an important role in user entrepreneurs' choice of entrepreneurial mode and the process of entrepreneurial performance improvement.This study provides a theoretical basis for users to carry out entrepreneurial activities and advances researchers understanding of user entrepreneurship.Future research could explore the impact mechanisms of other innovation capabilities on entrepreneurial models and performance to remedy the limitation of variables in this study and improve the universality and reliability of research conclusions by expanding the coverage of survey samples, collecting longitudinal data and utilizing multiple secondary data.#br#