Amid the rapid progression of technological and industrial revolutions, China's traditional low-cost advantages are gradually diminishing, necessitating a shift toward competitive advantages grounded in core technologies. In response to this pivotal transformation, President Xi Jinping proposed the theory of "new quality productive forces", summarizing the developmental trajectory of advanced productive forces, and the recent trends in technological innovation, intelligentization, and green development, along with the crucial role of new technologies, industries, business models, and forms in contemporary productivity growth. The concept of new quality productivity has emerged in the wake of the digital economy's rapid expansion in recent years. This burgeoning economic paradigm is increasingly integrating with, enhancing, and redefining the contours of the real economy, serving as a pivotal force in its structural evolution and transformative energy dynamics. In this new phase of rapid technological and industrial transformations, the deep integration of the digital and real economies has become an essential pathway for advancing new quality productive forces.
To drive the development of new quality productive forces through the integration of the digital and real economies, it is essential to foster the convergence of digital and physical technologies. This convergence creates both the necessity and possibility for the integration of the digital and real economies. On one hand, digital technological innovation and application can leverage the diversity and rich application scenarios of physical technologies, accelerating the fusion of digital technologies with various applications and promoting the transformation of scientific achievements into actual productivity. This facilitates the scaling and industrialization of emerging technological fields, enabling enterprises to explore new domains and create new opportunities, thus providing new momentum for the development of new quality productive forces. On the other hand, physical technological innovation and the digital transformation of enterprises can capitalize on the additive, synergistic, and multiplying effects of digital technologies. This drives digital and intelligent transformation across R&D, production, and distribution processes, enhancing cost reduction, efficiency improvement, and revenue growth. It promotes the advancement of foundational capabilities and fosters new technologies, business models, and forms, all of which contribute to the development of new quality productive forces.
Therefore, this study, using data from China's A-share manufacturing enterprises from 2012 to 2022, explores the impact and mechanisms of digital-physical technology integration on the development of new quality productive forces. In light of the three foundational elements of new quality workers, production tools, and labor, this study expands upon these by incorporating the dimensions of technological innovation, digital transformation, and sustainable development. It proposes new indicators to evaluate the productivity of this new quality labor force. It is found that the integration of digital and physical technologies significantly promotes the improvement of new quality productive forces in enterprises. By exploring the mechanisms of enterprise transformation and upgrading, the study confirms that the integration of digital and physical technologies enhances new quality productive forces through channels such as high-tech, high-efficiency, and high-end transformations; it further reveals the role of production relations, demonstrating that the ownership attributes of state-owned enterprises, intensified inter-enterprise competition, deepened inter-enterprise cooperation, and government regulation all contribute to the enhancement of new quality productive forces through digital-physical technology integration;it uncovers that digital industrialization enterprises, industry digitalization enterprises, and new real economy enterprises are differentially influenced by regional digital infrastructure and digital innovation capabilities in terms of how digital-physical technology integration drives new-quality productive forces development.
In brief, this study provides a new quantitative measurement of new quality productive forces, and the findings of this study enrich the literature on the measurement methods and mechanisms of new quality productive forces and provide data-based evidence for the formulation of relevant policies. Future studies could examine the technological dichotomy between digital and physical technologies. Additionally, it would be insightful to investigate how the maturity and modularity of physical technologies influence their integration with digital counterparts. Beyond the synthesis of digital and physical technologies, future studies might also focus on the dynamic interplay and convergence of digital economy constituents—such as data elements and digital platforms—with traditional real economy components. This convergence at the elemental level can be perceived as a mechanism for integrating the digital and real economies.

Stimulating regional green innovation's vitality and harnessing the enabling effects of digital industry agglomeration on regional green innovation are crucial for high-quality economic and social development. Green tech innovation supports economic transformation and sustainability, enhancing efficiency and achieving sustainable development goals. Digital industries alleviate corporate costs, reduce pollution, and provide financial backing for green innovation.Understanding the impact and internal mechanism of digital industry agglomeration on regional green innovation is key to unleashing their potential and improving regional green innovation systems.
Therefore, this study first constructs a theoretical framework and discusses the impact of digital industry agglomeration on regional green innovation from the two dimensions of innovation factors and innovation environment. On the one hand, digital industry agglomeration can accelerate the agglomeration of innovation factors such as human capital, technology and capital, provide factor support for regional green technology innovation, and thus help improve regional green technology innovation capabilities; on the other hand, digital industry agglomeration will also impact external environmental factors that affect green technology innovation, such as government environmental regulation,green financial development, and market competition pressure, thereby enhancing regional green innovation vitality. In addition, considering that digital industry agglomeration is closely related to the government's digital support, marketization level, and digital foundation level, the above factors will not only directly affect the speed and scale of digital industry agglomeration,but also have an impact on the green technology innovation effect of digital industry agglomeration. Therefore, the study analyzes the possible differential impacts of digital industry agglomeration on green technology innovation from the three dimensions of government digital support, marketization level, and digital foundation level.
The study employs the panel fixed effects model, the mediation mechanism model, and the instrumental variable method to conduct tests, using the panel data of 30 provinces in China from 2011 to 2022. It draws three conclusions. First, digital industry agglomeration significantly improves regional green technology innovation level,and the conclusion still holds true after robustness testing by adding interactive fixed effects,adjusting samples,changing variable measurement methods,instrumental variables, etc. Second, digital industry agglomeration can not only accelerate the aggregation of technological innovation factors such as human capital, technology, and R&D funds, but also strengthen government environmental regulation, accelerate the development of green finance, and increase market competition pressure, thereby promoting the improvement of regional green innovation levels. Third, the agglomeration of digital industries has strong digital support for the government and a high level of marketization, the promotion effect of green innovation in areas with low digital basic level is stronger than that in areas with weak government digital support, low marketization level and high digital basic level.
Corresponding policy recommendations are proposed from three perspectives. First,with the development of digital industry clusters as the starting point, it is essential to promote the innovation of production technology and methods through green technology innovation,and further stimulate the two-way progress effect between digitalization and greening. To be specific, it is necessary to continue to refine the digital ecosystem to leverage the benefits of shared resources, collaborative innovation, enhanced efficiency, and cost reduction from the agglomeration of digital industries, and stimulate new momentum for regional green technology innovation and the development of a green economy. Meanwhile, it is crucial to reinforce policy guidance, align the orientation of digital industries towards green development through strategic macroeconomic policies, and improve the coordination between the growth of the green and digital economies to ensure the harmonization of ecological, economic, and social benefits. Secondly, in the future, local governments should optimize the allocation of innovation factors such as talents,technology,and capital,realize the effective connection between the innovation chain and the industrial chain,and further optimize the regional green innovation ecology,accelerate the development of green finance,and ensure the function of green finance in promoting high-quality development. Finally, different regions should adopt different development strategies, adapt to local conditions and time, avoid the "one-size-fits-all" approach, and build the advantages of digital industry clusters and release the dividends of green technology innovation in combination with their own characteristics.

It is of strategic significance to break through the bottlenecks of core technologies in key fields, and these breakthroughs are strongly related to the technological gap and self-reliance in science and technology, and existing research has roughly been divided into two divisions: at the micro level, the concept, characteristics, identification methods, mode paths, and breakthrough factors of core technologies in key fields are summarized; at the macro level, the breakthrough paths of core technology innovation are discussed from the perspectives of system structure, mechanism system, and supporting policies. The relevant research focuses primarily on theoretical speculation, with little empirical research on specific cases, and its guiding value in management and policy in practice needs to be improved. Thus, this paper uses the exploratory single case study method to analyze the specific innovation activities of enterprises and opens the "theoretical black box" for enterprises to break through core technology mechanisms from the perspective of dynamic capability evolution.#br#By analyzing the development process of BGI′s gene sequencer technology in China, this paper proposes a breakthrough mechanism model for core technologies in key fields based on dynamic capability evolution. The model demonstrates that enterprise-led breakthroughs in core technologies in key fields generally occur through four stages of dynamic capability evolution: preface, transformation, transition, and diffusion, and it is a positive feedback process in which dynamic capability evolution and ecological innovation promote each other. Among them, the pre-order of competence accumulates strength for breaking through core technologies in key fields through the commercial application of foreign technology products, focusing on perception and capture, so that enterprises can occupy a higher niche in the commercialization of the industrial chain′s middle and lower reaches. The breakthrough difficulty of core technologies is in the stage of capability transformation, and it develops in three dimensions: perception ability, capture ability, and reconstruction ability. In the transition period, the capability transition stage is critical for core technology breakthroughs. Chinese enterprises started by learning foreign technologies, and they have occupied a niche in technology research and development, and initially formed the trend of core technology breakthroughs on a technical level. Through large-scale R&D, independent and controllable core technology systems and product systems are formed to occupy a high niche in the technological R&D link in the upstream of the industrial chain. In the capability diffusion stage, enterprises use the core technologies in key fields they control to develop the innovation ecosystem, relying primarily on the ecological reconstruction ability to expand the dynamic capability of enterprises into the dynamic capability of the innovation ecosystem, and realize independent control and domestic substitution in the two main links of technology research and development and market adoption, driving the entire industry to achieve self-reliant development.#br#To successfully break through core technologies in key fields, businesses must follow a set of rules, including completing the reverse breakthrough of "application-research and development", adopting a "different technical route from foreign enterprises" in order to construct a "technology-product" system, creating and maintaining an independent and controllable supply chain system, and setting up an ecosystem of platform-based innovation. It should be noted that the breakthroughs of core technologies led by enterprises are time-sensitive catch-up activities that frequently require catching up under the established technological paradigm and competing with foreign enterprises by building an independent and controllable technological system, supply chain, and innovation ecosystem to replace or even expel foreign enterprises′ products. As a result, it is necessary to begin at a higher technical level and select appropriate methods for directly obtaining international cutting-edge technology. More importantly, in order to truly complete the breakthroughs of core technologies in key fields, Chinese enterprises must accelerate the diffusion of core technologies, promote related enterprises to form an autonomous and controllable supply chain, and then build an autonomous and controllable innovation ecosystem around core technologies in key fields, widely absorb different types of innovation subjects, and establish various forms of collaborative research and development.#br#

New quality productive forces are the inherent requirement and important focus for promoting high-quality economic and social development, and they put forward new requirements to construct a new model and new mechanism for the in-depth integration of scientific and technological innovation and industrial innovation.At present, the complexity of global science and technology innovation is getting higher and higher, and the competition system has shifted from single-point technology in the past to the competition of technological ecosystem, from the competition of application technology to the competition of basic research, and the cross-fertilization and convergence and integration between science and technology are accelerating the evolution.At the same time, a new round of industrial change led by digital science and technology has reached the "technological singularity" of application transformation, and frontier technologies such as general artificial intelligence, gene editing, brain-like science and technology, and quantum information are gradually moving towards the critical "window period" of technological life.Therefore, major scientific and technological research and breakthroughs in original technologies increasingly require in-depth cooperation, open synergy and cross-fertilization among multiple disciplines and multiple innovation subjects.How to strengthen the status of enterprises as the main body of scientific and technological innovation and play the role of innovation consortium as a "new quality carrier" has become an important issue to promote the in-depth integration of industry, academia and research, accelerate the transformation of scientific and technological achievements into real productivity, and develop the new quality of productive forces.
On the basis of the typical practice cases of innovation consortiumempowering new quality productive forces, this paper follows the ground theory to critically combs related classical theoretical literature, process data, and code the collected textual information step by step, mainly including open coding, main axial coding and selective coding, and refines the sub-category, main category and core category in order to identify the theoretical mechanism of the innovation consortium that empowers new quality productive forces.Against the backdrop of national "four oriented" major needs, the theoretical mechanism and practical path of innovation consortiumempowering new quality productivity are analyzed in depth from the "strategy-led + market-led + context-driven" perspective.
This study proposes a three-dimensional "strategy-led-market-oriented-context-driven" framework for innovation consortiumto empower new productive forces.Using the cases of Xiaomi, Huawei, and Baidu, it further analyzes the main practical paths for innovation consortiumto empower new productive forces, including (1) strengthening basic research and original technology curation to accelerate the cultivation of pioneering capabilities; (2) building high-energy innovation consortiums to accelerate the breakthrough of key core technologies; (3) accelerating the transformation of scientific and technological achievements into real-life productive forces according to diversified contexts; (4) strengthening the four-chain integration and empowerment to build a modernized industrial system; and (5) integrating "active government" and "effective market" to enhance the overall effectiveness of the national innovation system.
By revealing the theoretical mechanism and practical path of innovation consortium to empower new quality productive forces, this study provides an important theoretical basis and practical inspiration for the state and regions to efficiently coordinate and lay out industrial innovation consortium, promote industrial innovation through scientific and technological innovation, accelerate the cultivation and development of new quality productive forces.Firstly, major scientific and technological research should be carried out through innovation consortium to enhance the technological support capacity of industrial innovation and development.Secondly, innovation consortium should be utilized to promote the integration of industry, academia and research, and accelerate the transformation of scientific and technological achievements into real productive forces.Third, innovation consortium should be used to empower the industrial chain and innovation chain, and boost the construction of modernized industrial system.

Enhancing the resilience and security levels of industrial and supply chains is critical for new developmental strategies. It also represents a crucial strategic choice for a nation's medium-to-long-term economic and social development. Moreover, it serves as an essential cornerstone in building a manufacturing powerhouse. A comprehensive, large-scale, and competitive industrial system has been fundamentally established in China, wherein the overall security and resilience of the industrial chains are being consistently fortified. However, the current global socio-political and economic landscape is fraught with complexities and uncertainties, exposing industrial chains to external risks such as disruptions and decouplings. Internally, these chains suffer from deficiencies like inadequate foundational innovative capabilities and a low position in the global value chain. Therefore, exploring avenues for augmenting industrial chain resilience is paramount for realizing the strategic objectives of high-quality development. Leading firms, acting as the 'architects' in constructing and evolving the entire industrial ecosystem, play a pivotal role in guiding industrial objectives and integrating relationships between upstream and downstream stakeholders. These firms can spearhead concerted efforts in critical cross-cutting technologies within the chain and facilitate the flow and sharing of innovative resources among entities within the chain. Hence, it is instrumental in enhancing industrial chain resilience by fully leveraging the ecological leadership of leading firms.
Existing literature has delved into the roles of leading firms and industrial chain resilience. However, it lacks a nuanced and differentiated analysis of the ecological leadership dimensions exerted by leading firms. Additionally, scant research has been conducted from a micro-enterprise perspective to examine the unique mechanisms through which leading firms, as dominant actors in the industrial ecosystem, contribute to enhancing industrial chain resilience. To bridge this gap, the present study employs grounded theory methodologies and conducts case studies comparing BYD and the Chinese new energy automotive industrial chain to investigate the capability dimensions of ecological leadership by leading firms and the processes by which they enhance industrial chain resilience.
The findings reveal that (1) in their development, leading firms progressively establish ecological leadership capabilities that enhance the resilience of industrial chains. These capabilities are categorized into three dimensions: technological innovation leadership, industrial collaboration and integration, and digital transformation empowerment. Specifically, technological innovation leadership is manifested through capabilities in technological innovation and leading innovation. Industrial collaboration and integration are demonstrated through resource integration and relationship coordination capabilities. Digital transformation empowerment is embodied in digital concept empowerment, digital resource empowerment, and digital structure empowerment. (2) The ecological leadership exerted by leading firms enhances the resilience of industrial chains through three distinct pathways: breakthroughs in key technologies, coordinated industrial linkages, and digital transformation of the industrial chain. Firstly, relying on their capabilities in technological innovation, the leading firms disseminate technology, knowledge, and information to firms within the chain. Then, through autonomous innovation and open, collaborative innovation with intra-chain firms, significant advancements in key technologies are achieved, thereby filling the gaps in weak technological links and considerably bolstering the resilience of critical elements within the industrial chain. Secondly, on the basis of their capabilities in industrial collaboration and integration, leading firms collaborate with large, medium, and small enterprises, as well as upstream and downstream entities, facilitating the development of a stable system for coordinated industrial linkages. This enables prompt adjustments to be made, thereby maintaining stability when disruptions impact the industrial chain. Thirdly, anchored by their capabilities in digital transformation empowerment, leading firms realize comprehensive digital transformation in R&D, production, and product intelligence, markedly enhancing product quality, user experience and competitive advantage. Concurrently, this drives the acceleration of digital transformation among smaller firms within the chain, thereby promoting an ascendancy in the value of the industrial chain and augmenting its efficiency and resilience.
This study, while clarifying the specific dimensions encompassed by the ecological leadership of lead firms, also provides an in-depth and expanded analysis of the essence, manifestation, and functionality of each dimension. From a micro-enterprise perspective, the study unveils specific pathways for augmenting the resilience of industrial chains, enriching the viewpoints in existing resilience studies, and extending the scope of research on the resilience of individual industrial chains to the new energy automotive industrial chain.

Promoting the sound and fast development of new quality productive forces is a crucial step for China to respond to the new challenges of the global science and technology revolution and industrial transformation in the new era and achieve high-quality economic development. In the context of the digital era, the infiltration of digital technologies such as big data, artificial intelligence, and blockchain into the real economy has given rise to new models and industries such as smart manufacturing and digital agriculture, and changed the way traditional industries produce and operate. The integration of digital economy and real economy has become an important systemic base and strategic driving force for the development of new quality productive forces. However, infrastructure bottlenecks and uneven regional development limit the role of digital-physical integration in promoting the development of new quality productive forces. How to further promote the integration of digital economy with real economy, with a focus on developing new quality productive forces, is a key question that must be addressed at present.
Existing research has addressed the role of economic activities generated in the process of digital-physical integration in promoting new quality productive forces, but it has not yet clarified how digital-physical integration can better form new quality productive forces. In fact, no single factor can adequately elucidate the intricate dynamics propelling the advancement of new quality productivity; thus, a broader perspective is essential for a more holistic understanding. While a one-size-fits-all approach is insufficient for guiding regions in selecting development drivers that align with their unique circumstances, necessitating further investigation into diverse pathways tailored to specific realities. Additionally, empirical research that systematically examines the evolution of data-physical integration and its qualitative influence on new quality productivity remains scarce.
Considering the complex interactive effects of the elements of digital-physical integration, this paper, based on the view of complex systems, constructs an analysis framework of "digital foundation-digital industry-digital finance-industrial structure-industrial agglomeration-industrial chain modernization" for digital-physical integration. It uses the dynamic qualitative comparative analysis method to analyze and reveal the relationship between the path evolution of digital-physical integration and the emergence of new quality productive forces in the case of 30 provinces, autonomous regions, and municipalities across China from 2013 to 2022.
The research results show that (1) neither the digital economy nor the real economy possesses a single, indispensable condition for fostering high new quality productive forces. (2) In the aggregated configuration analysis, there are mainly three constituting pathways, namely, digital finance empowerment type, full-chain digital upgrade type, and high-tech industry agglomeration type. (3) A comparison of the configuration results indicates that a robust digital foundation and a thriving digital industry are pivotal in catalyzing new quality productive forces during digital-physical integration, whereas digital finance and industrial agglomeration exhibit a substitutable relationship. (4) The inter-group analysis shows that the aggregated configuration has a temporal universality, while the formation of new quality productive forces has undergone an evolutionary process from high-tech industry agglomeration-oriented to digital finance empowerment-oriented and further differentiation. (5) The intra-group analysis indicates that the formation of new quality productive forces requires tailored development, and the agglomeration-oriented configuration of high-tech industries is suitable for areas where the industrial chain is not yet fully developed, while areas with better digital finance development are more poised to cultivate new quality productive forces.
This paper establishes an analytical framework of "digital economy-real economy" linkage configuration for the emergence of new-quality productive forces, revealing the complex causal relationships behind the emergence of new-quality productive forces. It analyzes the development of new-quality productive forces, which has undergone a transformation from the regulation of a materialized economic system to the regulation of a virtualized economic system. The paper has developed the perspective of complex systems regarding the creation of new technologies.Furthermore, it offers tailored recommendations for enhancing new-quality productive forces, tailored to local contexts, such as bolstering the construction of digital infrastructure and the digital industry, encouraging and supporting the development of digital finance, and accelerating the industrial chain's modernization.

Elevating the level of intelligence is a pivotal measure for enterprises to expedite the formation of new quality productive forces. As a new generation of digital technology, artificial intelligence has realized subversive innovation in production methods, production processes and models, accelerated the transformation of production factors to production capacity, and provided new momentum for developing new quality productivity. However, most existing research on artificial intelligence focuses on the macro level. More literature needs to be examining how artificial intelligence technology empowers the development of enterprises' new quality productive forces.
Therefore, this paper delves into artificial intelligence's empowerment path for enterprises' new quality productive forces. This study focuses on A-share listed companies from 2013 to 2022 to explore the impact of artificial intelligence on the new quality of productive forces within enterprises and the mechanisms that facilitate this influence. Drawing on the theoretical insights, it develops a regression model to assess the effects of AI and further examines the mechanisms through three key lenses: technology empowerment, efficiency empowerment, and information empowerment. To ensure the robustness of the findings, the study performs a series of rigorous checks. These include substituting variable indicators, applying the Propensity Score Matching (PSM) technique, conducting Two-Stage Least Squares (2SLS) regression analysis, and employing a quasi-experimental design centered on the smart transformation of pivotal industries. The results consistently demonstrate the robustness and reliability of our conclusions. Lastly, the empowering effect of artificial intelligence on new quality productive forces can significantly differ because of the distinct internal characteristics and external environment of enterprises. Consequently, the study conducts a heterogeneity analysis of the main effects across three core dimensions of enterprise-level,industry-level,and regional differences.
The study finds that artificial intelligence significantly enhances the development of enterprises' new quality productive forces. Mechanism analysis further reveals that this enhancement is achieved by strengthening digital innovation capabilities, improving the efficiency of supply chain, and mitigating the information asymmetry. Heterogeneity analysis demonstrates that there exist notable disparities in the enabling effects of artificial intelligence on new quality productive forces among different types of enterprises. Specifically, state-owned enterprises, labor-intensive enterprises, those situated in high-tech industries, and those located in regions with substantial fiscal support all exhibit more prominent improvements in their quality new productive forces, being empowered by artificial intelligence. This paper enhances the comprehension of the role of artificial intelligence in the production process at the micro-enterprise level, thereby providing valuable insights for promoting the efficient development of enterprises' new quality productive forces.
The innovations of this paper lie in the following three aspects: Firstly, this paper studies the impact of artificial intelligence level on enterprise development in micro-enterprises. Existing research on artificial intelligence primarily focuses on macro-level effects, such as its influence on regions, industries, and labor markets, with relatively scarce studies at the micro-enterprise level. Furthermore, previous works often measured the artificial intelligence level of enterprises using industrial robot penetration rates, whereas this paper employs text analysis and machine learning methods to construct an artificial intelligence index for enterprises. Secondly, this paper enriches the research on new quality productive forces in enterprises. As a newly proposed concept, the new quality productive forces have predominantly been studied qualitatively, exploring its connotations, characteristics, and formation logic. By leveraging data from listed companies, this paper empirically analyzes the influence of artificial intelligence technology on enterprises' new quality productive forces. Thirdly, this paper provides theoretical support for promoting the enhancement and development of enterprises' new quality productive forces. This paper delves into the mechanisms through which artificial intelligence empowers new quality productive forces from the perspectives of technology, efficiency, and information. The heterogeneous effect on the main effect is further discussed in relation to the differences at enterprise ,industry and regional levels. It offers valuable insights for upgrading enterprises' new quality productive forces.

Along with the Sino-U.S. trade dispute , the complex geopolitical situation and other variable factors, supply chain friction has become the norm. The risks associated with the flow of capital, information, and logistics in the supply chain have dramatically increased, making it urgent to improve the chain's resilience in order to mitigate disruption risk and maintain the chain's security and stability. At this stage, the importance of data elements in empowering supply chain governance is becoming more and more prominent, and the scale of data assets owned and the ability to transform them into productivity have become important factors in gaining new competitive advantages. From the perspective of supply chain network characteristics, the penetration and application of data elements in the subject and structural elements of the supply chain have significantly revolutionized the operation mode of the supply chain, and become a key driving factor to enhance risk-taking and ensure the continuity of supply and demand.
This study investigates the enabling mechanisms of data elements on the subject and the structural resilience of the supply chain in order to reveal the supply chain resilience enhancement paths in a more thorough and detailed manner. As a result, given the network characteristics of the supply chain, the subject element and structural element may show different resilience mechanisms against risks. By employing the OLS regression model, the study collects data from Chinese listed companies between 2015 and 2022 and uses text analysis to create indicators that show the application level of enterprise data elements. It then uses supply chain subject resilience and structural resilience to characterize the overall resilience of the supply chain and empirically investigates the impact of data elements on resilience.
The research results show that data elements can effectively enhance the level of enterprise risk-taking and the stability of supply-demand relationship, and the findings remain robust after a series of endogeneity and robustness tests, showing that data elements can effectively enhance both supply chain subject resilience and structural resilience. In addition, the application of data elements by enterprises can effectively enhance the innovation effect and the information effect, thus improving the innovation capability of enterprises and obtaining the information advantage to promote the resilience of the supply chain. At the same time, the enabling effect of data elements on supply chain resilience can be differentiated by the internal and external environments of enterprises, that is, the enabling effect is stronger when the enterprise is large, operates in a highly competitive industry, and is situated in an area with a poor supply chain operating environment and high marketization.
Compared with the results of previous studies, this study expands the research perspective of supply chain resilience, constructs enterprise-level supply chain resilience measurement indexes from the perspective of network characteristics, and enriches the research scope of supply chain in the era of digital economy; and it further empirically examines the two indirect empowerment mechanisms of innovation effect and information effect, which provides a useful supplement to the research on the empowerment mechanism of data elements on supply chain resilience. Through the analysis of the research findings, this study proposes to accelerate the construction of data element marketization, further activate the potential of data elements in enhancing supply chain resilience, and formulate targeted data elements application solutions according to the differences in the internal and external environments of enterprises, which will help the government optimize the policies on data elements and supply chain and support the scientific decision-making of enterprises, and have certain theoretical significance for the implementation of the strategic plan of "focusing on enhancing the resilience and security of industrial chain and supply chain".
Future research may integrate the two dimensions of supply chain entity resilience and relationship resilience into a comprehensive index for research, further combine the characteristics of the supply chain to reveal the mechanism path involving more data elements to empower supply chain resilience improvement, and the subsequent economic impacts of data elements empowering supply chain resilience improvement could be predicted.

The development and application of emerging information technologies, such as artificial intelligence, has promoted the digital and intelligent transformation of enterprises and changed the way people work. This has also sparked a wave of hybrid work in China. Innovative working modes may affect employee innovation outcomes. Hybrid work combines technology, platforms, and innovation capabilities, which impacts employees' innovative performance, yet the impact of hybrid work on employee innovation performance has not been fully explored. Existing research has overlooked the dual effects of hybrid work on innovation performance. On one hand, hybrid work allows employees more time for personal pursuits, family, friends, and hobbies, achieving a win-win situation for both employees and organizations. This promotes better work-family balance, thereby enhancing employee innovative performance. On the other hand, the workplace presence is a unique contextual feature of hybrid work. The use of communication technologies and other media in hybrid work can reduce employees′ workplace presence, potentially negatively affecting their innovation outcomes. Additionally, employees′ cognitive evaluations play an important moderating role in how hybrid work impacts innovative performance.#br#Thus, this paper integrates the stimulus-organism-response (SOR) theory and social presence theory, focusing on the characteristics of hybrid work. These characteristics include the impact of information technology on the relationship between family and work, as well as how the use of information technology changes the workplace presence. By introducing work-family balance and workplace presence, the study delves into their mediating roles between hybrid work and innovative performance. Additionally, it explains the boundary roles of challenge appraisal and hindrance appraisal.#br#This study conducted a questionnaire survey among employees with hybrid work experience in various regions, including Central China (Hubei, Anhui), Northwest China (Ningxia), South China (Guangdong), and East China (Shanghai). Over three phases, a total of 432 valid responses were collected. The scales used in the questionnaire are adapted from established scales both domestically and internationally. Data analysis was performed using the Bootstrap method by the Mplus 8.3. The results indicate that hybrid work enhances employees' innovative performance through the mediating role of work-family balance, with challenge appraisal playing a positive moderating role. Conversely, hybrid work reduces employees' innovation performance through the mediating role of workplace presence, with hindrance appraisal playing a negative moderating role.#br#Following the SOR theory and the social presence theory, this study investigates the double-edged sword effect of hybrid work on employees' innovation performance, and examines the moderating roles of challenge appraisal and hindrance appraisal. The main contributions are threefold. First of all, it constructs a research model to verify the double-edged sword effect of hybrid work on employees' innovation performance, breaking through the one-sidedness of previous studies on hybrid work performance. Secondly, from a research perspective, it studies employees' innovation performance in hybrid work based on SOR theory and social presence theory. By introducing workplace presence and work-family balance, it partially opens the "black box" of the impact mechanism of hybrid work on employees' innovation performance, expands the application of social presence theory in the field of human resource management, and opens new theoretical perspectives for subsequent research. Thirdly, in exploring boundary conditions, it introduces individual cognitive appraisal to study its role in the double-edged sword effect of hybrid work on innovation performance, providing a more comprehensive explanatory framework for understanding the role of individual cognitive factors in innovation performance.#br#Finally, this study proposes some effective management strategies and suggestions to improve employees' innovation performance in hybrid work environments. These include (1) preventing the negative impact of reduced workplace presence on innovation performance by emphasizing the key role of workplace presence in hybrid work and implementing measures to mitigate its reduction; (2) recognizing the positive impact of work-family balance on innovation performance by paying attention to the essential needs of employees for work-family balance in hybrid work and supporting these needs; and (3) clarifying employees' cognitive differences towards hybrid work by understanding and addressing the different perceptions and cognitive evaluations about hybrid work. These strategies aim to enhance the positive aspects of hybrid work while mitigating potential negative effects, thereby improving overall innovation performance among employees.#br#

Nowadays, major countries in the world have attached great importance and priority to promoting disruptive innovation which is of high investment, high risk and high return, and China urgently needs to establish a normalcy mechanism for discovering, selecting, and cultivating disruptive technology, focus on excavating and discovering a number of disruptive technology directions, improve the quality and supply efficiency of disruptive technology, and rapidly improve the national comprehensive powers. In order to accurately select and deploy technologies with disruptive potential, it is essential to master the regularity of disruptive technology development ;thus, this paper constructs an evaluation index system, and proposes a multi-data source fusion analysis framework, for studying the development and evolution of disruptive technologies.
Academic papers and invention patents are important carriers of scientific and technological innovation, and government policies are important factors in promoting scientific and technological development. It is important way for studying the regularity and path of disruptive technology development to exploiting the latent data information in academic papers, patents, and the Natural Science Foundation, and establish the interactive relationship between these information and disruptive technology. This paper constructs an indicator system of seven dimensions to evaluate the development and evolution of disruptive technology, including the number growth rate of published papers, the citation growth rate of published papers, the cited growth rate of published papers, the number growth rate of filed patents, the citation growth rate of filed patents, the cited growth rate of filed patents, and the funding growth rate of Natural Science Foundation. Then, for each indicator, temporal variation characteristics are analyzed with the major historical events of the disruptive technology from a quantitative analysis perspective. Finally, the coefficient of variation method (CV) is used in fusion analytics of multi-type indicators, obtaining a fitting curve, and then the law of disruptive technology development is analyzed with major historical facts.
GPS technology is a typical disruptive technology that experiences a relatively complete technology lifecycle, and it is going into the large-scale application stage. Therefore, this paper takes the GPS technology as an empirical case to research the law of disruptive technology development. According to the principles of authority and completeness, this paper collects data from the Web of Science Core Collection Database, the Patsnap Patent Database, the Natural Science Foundation Database of the U. S. , and open-source data on the internet. Then, these data are analyzed using the proposed method, such as extracting related indicator features from papers, patents, and natural science foundations, and conducting analysis on the temporal variation characteristics of the indicators with the relevant historical events.
The case of GPS technology reveals that the development of disruptive technology requires several rounds of technical innovation breakthroughs, and these breakthroughs are achieved under the synergistic effects of military need, scientific theory, technology application, and the policy environment. Among these effects, military need and market demand are the direct driving forces for the formation and development of disruptive technologies. Basic theory is the source power for the formation and development of disruptive technologies. Technological innovation is the important driving force for the formation and development of disruptive technologies, and government policy is the catalyst for the formation and development of disruptive technologies.
On the basis of the research results, this paper suggests that it is pivotal to strengthen research on the development and evolution of disruptive technology, utilize advanced scientific methods, technical tools, and expert experience to study, identify, and predict disruptive technologies, improve awareness, understanding, and insight of disruptive technology. Then it is essential to sustain funding on scientific frontier and interdisciplinary research, provide long-term and stable support for basic interdisciplinary research, promote the cross-integration of natural sciences and engineering fields, and keep obtaining the source force for the development of disruptive technology. Finally, it is need to construct a multi-stage intervention mechanism for disruptive technology. According to technological development and market status, it is necessary to input different degrees of policy intervention and resource investment at different technological stages to improve the efficiency of resource utilization.

Shareholder activism in modern enterprises has a positive impact on corporate reputation as well as long-term growth, and thus it is an important factor affecting corporate operations. The demands of activist shareholders include not only improving financial performance, but also actively seeking the improvement of corporate social performance and paying attention to the sustainable development of enterprises. Environmental shareholder activism has emerged in the context of a growing global consensus on environmental and climate issues, and enterprises that are targeted by shareholder activism are more likely to respond positively to environmental needs. Green innovation is the most effective way for firms to tackle pollution, especially those in heavily polluting industries, but few studies have yet explored the impact of environmental shareholder activism on corporate green innovation. The most important influencing factor for enterprises in heavily polluting industries to carry out green innovation comes from the enterprises themselves. Among them, differences in corporate governance will have different effects on corporate green innovation. Shareholders will naturally pay more attention to green innovation in order to enhance the profitability of enterprises. Thus, this paper explores the impact of environmental shareholder activism on corporate green innovation based on the fact that enterprises in heavily polluted industries are the focus of attention in the promotion of green development in China.#br#This study selects A-share listed enterprises in the heavy pollution industry in China's Shanghai and Shenzhen stock markets from 2013 to 2022 as the research sample. After screening the preliminary matched samples, it obtains a total of 1 037 enterprises and 8 076 observation samples. Then, the study collects data on environmental shareholder activism and green innovation of sample companies, empirically examines the impact of environmental shareholder activism on corporate green innovation, and explores the role mechanism of management's environmental attention on this effect. Further, it examines the heterogeneous effects of contextual factors such as the level of environmental regulation, the degree of marketization in the region, and the nature of corporate ownership on the relationship between shareholder environmental activism and corporate green innovation.#br#It is found that environmental shareholder activism can significantly promote green innovation in enterprises, and after specifically categorizing green innovation into green utility innovation and green invention innovation, environmental shareholder activism can play a significant role in promoting both types of green innovation, which verifies the important role of environmental shareholder activism in promoting green governance. The mechanism test results suggest that increasing managerial environmental attention is an important mechanism path for shareholder environmental activism to promote corporate green innovation, shareholder environmental activism can raise managerial environmental attention, and then promote corporate green innovation. Heterogeneity analysis finds that the promotion effect of environmental shareholder activism on corporate green innovation is more pronounced in firms that are subject to stronger environmental regulations, located in regions with a higher degree of marketization, and with the nature of state-owned property rights. Once again, stronger environmental regulation and a good market environment constitute a favorable external environment for promoting green innovation in enterprises, and the government should design appropriate environmental regulation tools, create a good market environment and play the role of market facilitation.#br#There are three potential marginal contributions in this study. Firstly, it enriches the research on the antecedents of enterprise green innovation. From the perspective of shareholder governance, this study confirms the role of environmental shareholder activism in promoting the green innovation of enterprises, and provides a new perspective for investigating the green innovation of enterprises. Secondly, it enriches the research category of shareholder activism. There are few studies exploring the impact of shareholder activism on corporate green innovation. This paper expands and deepens the research on shareholder activism by confirming the positive governance effect of shareholder environmental activism on corporate green innovation. Thirdly, starting from the factor of management environmental attention, this paper pioneers the study on the path mechanism of shareholder environmental activism's influence on corporate green innovation, which is conducive to understanding the transmission path of shareholder governance's influence on corporate green innovation, and promoting managerial rational distribution of attention and resources, so as to promote corporate green innovation.#br#

With the new generation of technological revolution and the acceleration of industrial transformation, it is increasingly urgent to promote China's high-quality development through new quality productive forces. The innovation network is a more suitable platform for the repeated exchange of tacit and embedded knowledge than market transactions. It is effective in enhancing enterprise innovation capabilities, achieving breakthroughs in key technologies, and forming new quality productive forces. To promote the qualitative leap in the advanced productive forces of innovation network member enterprises and achieve high-quality development, this paper attempts to answer the following key questions: How does core enterprises' knowledge spillover drive network members' new quality productive forces? What roles do network homogenization and relationship capital play in this process?
On the basis of the knowledge-based view and resource-dependence theory, this paper analyzes the relationship between core enterprise's knowledge spillover and network member's new quality productive forces. The research adopts survey data from 392 enterprises and conducts an empirical analysis using SPSS and Amos. The results show that (1) there is a significant positive relationship between core enterprise's knowledge spillover and network member's new quality productive forces. The influence of core enterprises on network members mainly stems from knowledge spillover, and under its continuous influence, the new quality productive forces of network members can be improved. (2) Network homogenization negatively moderates the impact of core enterprise's knowledge spillover on network member's new quality productive forces. Network homogenization implies a lack of resource, skill, and capability complementarity among members, rendering enterprise resources less unique, valuable, and scarce. Consequently, core enterprise's knowledge spillover cannot provide deeper knowledge and technology interaction for network members, reducing the chance for network members to increase their knowledge diversity and ultimately affecting the development of network member's new quality productive forces. (3) Relational capital positively modulates the relationship between core enterprise's knowledge spillover and network member's new quality productive forces. Strong relationships among innovation network members benefit enterprises in obtaining more social capital, which promotes the exchange and sharing of knowledge and information, and fosters the growth of new talents and the accumulation of new labor materials.
Theoretically speaking, this paper firstly supplements the empirical study of new quality productive forces at the enterprise level. Then it constructs a measurement scale of network member's new quality productive forces, which provides ideas and methods for further empirical research related to new qualitative productive forces at the enterprise level. Secondly, from the perspective of the interaction of innovation network members, this paper explores the impact of core enterprise's knowledge spillover on network member's new quality productive forces, enrich the theoretical connotation of existing research and promote the development of knowledge spillover related theoretical research. Thirdly, by integrating the knowledge-based view and resource dependence theory into the research on the knowledge spillover effects of the core enterprise, the applicability of these theories is enhanced, offering a new perspective to understand the knowledge spillover effects of core enterprises. Lastly, it is a valuable addition to the research on the knowledge-based view and resource-dependence theory to incorporate network homogenization and relational capital into the research framework. This expands the scope of research on the knowledge spillover effects of core enterprises and responds to scholars' recognition of the core enterprise's knowledge spillover effects.
The results hold practical significance as follows: (1) The transformation and enhancement of productive forces quality in innovation networks can not be separated from core enterprise's knowledge spillover. If network members aim to develop new quality productive forces, they must realize the importance of core enterprise's knowledge spillover and expand the channels for enterprises to obtain new knowledge, technical information and other resources. (2)The findings affirm the importance of enterprise knowledge heterogeneity, and suggest that enterprises should select partners based on their own existing knowledge, in innovation networks, members should be clear about who to approach in order to gain more reconfigurable knowledge. (3) Strong relationship capital is the effective support to promote new quality productive forces, and the continuous accumulation of relationship capital can ensure that network members have an advantage in choosing partners for core enterprises. (4)In the process of high-quality development of innovation network, it is necessary to adopt tailored measures for different enterprises.

New-quality productive forces are generated by scientific and technological innovation and the realization of key disruptive technological breakthroughs, and it is a powerful engine for high-quality development. New quality productive forces, with strategic emerging industries and future industries as the leading industries, are mainly involved in fields with strong innovation and advanced technologies and are committed to empowering regional high-quality development through scientific and technological innovation. In order to maintain a leading position in the competitive global environment and promote China's high-quality economic growth, it is necessary to stimulate industrial innovation through major disruptive scientific and technological innovations, facilitate transform and upgrade the industrial structure to create a new competitive advantage, and endeavor to cultivate the new quality productive forces.
The high-quality development of cities, as important spatial carriers and geographic activity units for economic and social development, remains an important issue of our time. Can new productive forces, as a key initiative to reshape new dynamics, be an important way to help cities develop in a high-quality manner If so, what is the internal logic of new-quality productive forces influencing the high-quality development of cities？ An overview of the existing literature shows there is a relative lack of empirical research on the relationship between the two. In view of this, this paper tries to put the new quality productive forces and high-quality urban development in the same research framework, and takes entrepreneurial activity as the starting point to explore the mechanism of new quality productive forces on high-quality urban development, so as to further provide a theoretical and practical basis for China's high-quality development.
Employing the panel data of 244 prefecture-level cities in China from 2011 to 2021, this study explores the intrinsic mechanism by which new quality productive forces affect the high-quality development of cities, using new quality productive forces as the entry point. Building on this foundation, the study examines the transmission mechanism through which new quality productive forces influence high-quality urban development by enhancing entrepreneurial activity, with entrepreneurial activity serving as the mediating variable. Subsequently, it delves into the non-linear influence of new quality productive forces on high-quality urban development at varying stages of industrial structure upgrading, talent concentration, and scientific and technological innovation. Then, the study investigates the non-linear impact of new productive forces on high-quality urban development when industrial structure upgrading, talent concentration, science and technology innovation are at different stages, and finally, it analyzes the spatial spillover effect of new productive forces on high-quality urban development according to the spatial levels.
The study finds that (1) new productive forces have a direct role in promoting high-quality development, and from the perspective of the financial environment of entrepreneurship and the level of talent capital, cities with a higher level of financial development and talent capital have an obvious role in promoting high-quality development; at the same time, entrepreneurial activity is an important channel through which the new productive forces promote the high-quality urban development. (2) The impact of new quality productive forces on high-quality urban development is affected by the threshold effect of industrial structure upgrading, talent concentration, and scientific and technological innovation level, and the impact of new quality productive forces on high-quality urban development presents a non-linear effect of increasing marginal utility under the development level of higher threshold variables. (3) The impact of new quality productive forces on high-quality development has a significant positive spatial spillover effect, and the development of local new quality productive forces can drive the high-quality development of areas with close economic ties.
Possible marginal contributions of this article are that,firstly, from the perspective of empirical measurement, the study explores the mechanism of the impact of new quality productive forces on high-quality urban development, and focuses on the impact of new quality productive forces on the high-quality development of cities; moreover, by incorporating industrial structure upgrading, talent concentration and scientific and technological innovation level into the analysis framework, it explores the threshold effect of the new quality productive forces on the high-quality urban development.

Since the signing of the Paris Agreement, global climate governance has entered a new stage, and some governments have been actively deepening international cooperation to promote global green and sustainable development. Green finance is a new financial model that combines environmental protection with economic profits, playing a significant role in environmental governance. In this context, green finance policies have greater impacts on the financial costs of high-pollution and high-energy-consumption enterprises with two mechanisms of action; on the one hand, green finance policies directly raise the financial threshold for high-energy-consumption and high-pollution enterprises, increasing their debt financing costs; on the other hand, these enterprises can establish good social images through green technology innovation and green information disclosure, which not only helps to gain the favor of investors but also obtain green financial policy support, and to some extent alleviates their costs of debt financing. The purpose of this study is to explore the mechanism and effectiveness of green finance policies, for it would be conducive to improving China's green finance policy system and guiding the green transformation and upgrading of high-energy-consumption and high-pollution enterprises, thus providing important theoretical and practical significance for China's green transformation.#br#The current research on green finance policies has some inadequacies. Firstly, the existing literature assumes that green finance policies increase the difficulty of financing for high-energy-consumption and high-pollution enterprises, thus increasing their total financial costs. In fact, this confuses the total quantity effect and cost effect. Secondly, the existing research ignores the strategic behavior of high-energy-consumption and high-pollution enterprises. Enterprises can take "signaling warfare" to deal with the impact of adverse policies on their financing costs, such as reducing their external financing costs by creating adverse selection through environmental disclosure. Furthermore, the role of green finance policies is a dynamic process, and the policies themselves are committed to stimulating green technology innovation and achieving green transformation in enterprises. After the transformation, the financing costs of enterprises have been significantly reduced, and thus relevant research is insufficient.#br#Following the theory of incomplete information dynamic game, this study reveals the relationship between strategic behavior and financing activities of high-energy-consumption and high-pollution enterprises against the backdrop of green finance policies. Green finance policies can trigger "signal warfare" and green innovation behavior of enterprises, forming multiple Nash equilibria, and having different impacts on the financing of high-energy-consumption and high-pollution enterprises. In order to verify the correctness of the theory, on the basis of the relevant data of 537 listed companies, this paper adopts the chain mediation effect model to examine the impact of green financial policies on the financial costs of high-energy-consumption and high-pollution enterprises. The study finds that green financial policies can not only directly alleviate the financing costs of high-energy-consumption and high-pollution enterprises, but also play the mediating role of environmental information disclosure and green technology innovation. Then, the three indirect paths of environmental information disclosure and green technology innovation as chain mediators reduce their financing costs.#br#This study provides a new perspective for the study of the mechanism of green finance policy, and suggestions for policy improvement are presented. First, the environmental protection department should establish environmental information review agencies which are expected to collect and evaluate the environmental information disclosed by high-energy-consumption and high-pollution enterprises, and then issue relevant evaluation reports. The review of environmental information by third-party institutions and the issuance of relevant reports are conducive to reducing information asymmetry and improving transaction efficiency in the capital market. Second, the government should establish an incentive mechanism for promoting green innovation through the joint participation of the government, enterprises, and the public by making favorable policies to attract and cultivate elite talent, improving the intellectual property protection system, and increasing public awareness and understanding of green innovation. Third, for the enterprises with green innovation capabilities but insufficient R&D investment, the government should establish special funds to support these enterprises and expand their financing channels.#br#

Disruptive technological innovation has important strategic significance for China's strategic emerging enterprises to break through foreign technological blockades and achieve independent control of key technologies. It is precisely through the evolution and development of a series of disruptive technological innovations that China's new energy vehicle enterprises have achieved a profound transformation in key technologies and market patterns. Therefore, it is of significance to clarify the internal mechanism of disruptive technological innovation in China's new energy vehicle enterprises, which can provide reference for the innovation and development of strategic emerging enterprises.#br#Disruptive technological innovation is endowed with strong exploration, a long research and development cycle, and high risk. The relevant technological and market changes evolve through the interaction of technological iteration innovation and market segmentation diffusion. Therefore, revealing the evolutionary laws of disruptive technological innovation in China's new energy vehicle enterprises from both technological and market perspectives is the underlying logic for exploring its realization mechanism. However, the existing research on the realization mechanism of disruptive technological innovation of China's new energy vehicle enterprises is mostly based on the guiding role of macro-policies and the synergistic effect of middle-level industries, and insufficient attention is paid to the innovative main role of new energy vehicle enterprises; the evolutionary laws of disruptive technological innovation in technology iteration and market diffusion in China's new energy vehicle enterprises are not clear, and the dynamics and complexity of disruptive technological innovation in enterprises are in need of deconstruction; moreover, the interaction between resource-focused actions and dynamic capabilities and their mechanism of action on disruptive technological innovation are in the vague.#br#Therefore, this study aims to answer the following questions: (1) What are the laws of the occurrence and evolution of disruptive technological innovation in China's new energy vehicle enterprises? (2) How do enterprises conduct resource-focused actions and build dynamic capabilities at different stages of development? (3) How does the interaction effect of resource-focused actions and dynamic capabilities affect the disruptive technological innovation of China's new energy vehicle enterprises?#br#To address the issues, the paper selects 5 typical cases of China's new energy vehicle enterprises for longitudinal exploratory research, and forms 87 000 words of cross-verification data through diversified data collection methods. It firstly identifies the key milestone events of three enterprises for stage division. Then it extracts 3 core categories, 9 main categories and 27 subcategories from 392 pieces of evidence through open coding, axial coding and selective coding, and further constructs the process model of disruptive technological innovation of China's new energy vehicle enterprises in combination with stage markers. Thirdly, the study conducts a theoretical saturation test on the process model using the remaining two enterprises. On the basis of the process model, the paper constructs a realization mechanism model of disruptive technological innovation in new energy vehicle enterprises in order to explore the interaction effects between resource-focused actions and dynamic capabilities on the realization and evolution of disruptive technological innovation.#br#The study finds that (1) the disruptive technological innovation of new energy vehicle enterprises presents three characteristics: continuous enrichment of technological innovation methods, continuous iteration of technological life cycle, and sequential realization of niche market development, medium and high-end market penetration and high-end market introduction; (2) enterprises have gradually realized the combination, capability and leverage of resources through the resource-focused actions of resource bricolage-resource choreography-resource orchestration, while the dynamic capabilities have experienced the evolution process of externally oriented environmental perception, internally driven learning and innovation, and internal and external collaborative integration and expansion capabilities, realizing the upgrading from the first-order ability to adapt to the environment to the second-order ability to create new capabilities; (3) as the key factors for the realization and evolution of disruptive technological innovation, the interaction between resource-focused actions and dynamic capabilities of enterprises has experienced a three-stage transition from factor aggregation to knowledge innovation to system symbiosis, and they have respectively played foundation, promotion and leading roles in the emergence, development and upgrading of disruptive technological innovation. The research conclusions provide strategic support for promoting China's new energy vehicle enterprises to carry out organized disruptive technological innovation activities.#br#

In recent years, small and medium-sized enterprises (SMEs) have encountered frequent operational emergencies, such as urgent cash flow and blocked supply chains. How to promote enterprises to improve organizational resilience to cope with challenges has become an important topic in management practice. In the present digital era, digital knowledge and information resources have become key production factors. Relying on digital resources to improve and reshape systems and processes has become an important means for enterprises to build organizational resilience and enhance competitive advantages. However, most of the existing studies have paid too much attention to the endpoint effect of resources and neglected to explore resource management actions from the perspective of process, that is, the mechanism of resource orchestration on the formation of organizational resilience. In fact, the effective management of digital resources plays a more important role in fostering organizational resilience. Thus, it is an urgent issue to clarify the specific process of how resource orchestration affects the formation of organizational resilience.#br#In view of the above research status and practical background, this paper constructs a theoretical framework among resource orchestration, digitalization ability, transformational leadership and organizational resilience. Then it takes the resource orchestration theory as the research perspective to discuss the relationship between resource orchestration and organizational resilience of SMEs, and explores the mechanism mediating the role of digitalization ability and the moderating role of transformational leadership. By collecting the data from 334 SMEs samples, the hypothesis is empirically tested by structural equation modeling (SEM), bootstrapping, and the Johnson-Neyman (J-N) method.#br#The results show that (1) resource construction and resource coordination in crisis situations have a positive impact on organizational resilience in SMEs; (2) digital operational capabilities and digital collaboration capabilities mediate the relationship between resource orchestration and organizational resilience, while the mediating role of digital perception capabilities is not confirmed; (3) transformational leadership positively moderates the relationship among digital operational capabilities, digital collaboration capabilities and organizational resilience.#br#Theoretical contributions are as follows. First, following the resource orchestration theory, this study provides a new perspective on how digitalization affects the formation of organizational resilience and expands the theoretical research boundaries of existing research on resource orchestration and organizational resilience. Second, the research framework of“resource orchestration-digitalization ability-organizational resilience” is built from the perspective of digitalization, which further clarifies the intrinsic relationship between resource orchestration and organizational resilience. The study remedies the limitation that the relationship between resource orchestration and organizational resilience has not been effectively explored. Third, this study considers transformational leadership as an external intervention that influences resource orchestration to have an effect on organizational resilience through digital capabilities, which extends the research content of transformational leadership in the digital era, complements and improves the boundary conditions for the formation of organizational resilience.#br#The managerial insights into how SMEs can develop organizational resilience in the digital economy are presented. First, SMEs should focus on taking resource orchestration actions to achieve effective access to and management of required digital resources. Due to limited resources such as capital, technology and human resources, SMEs should fully consider the professional advantages of third-party service organizations in the process of digitization. Second, it should enhance the digital perception, operational and collaboration capabilities that drive the formation of organizational resilience. Resource orchestration action for enterprises to adapt to the required digital resources is a prerequisite for leveraging the transformation and development of enterprises, while digital capabilities determine the extent to which enterprises can benefit from their digital technologies and infrastructure, so as to better empower the building of organizational resilience. Finally, transformational leadership should play an important role in facilitating value co-creation among organizational members. In the digital economy, managers need to develop a strategic plan for transformation and continuously promote its implementation, playing the role of“helmsman” to help companies stand firm in the rapidly changing digital economy.#br#