Under the background of the Sino-US trade friction, research on scientific and reasonable identification methods of the "neck-jamming" technologies is important for the breakthrough of the "neck-jamming" technologies, the promotion of national technological strength, and the maintenance of national economic security.By analyzing the concept and connotation of the "neck-jamming" technologies, the identification principles and methods are obtained.Taking the electronic information industry as an example, 35 key core technologies were collected through a questionnaire survey, and 13 "neck-jamming" technologies were identified from them.It is concluded that the "neck-jamming" technologies of electronic information industry are mainly basic technologies, integrated circuit industry threaten a lot while high-end software industry is relatively secure.In the end, we put forward the policy recommendations of China's "neck-jamming" technologies attack from the perspective of technology, enterprise, industry and society.

Academic spin-off is one of the important approaches for academic organizations to transfer their academic achievements into economic results. While spin-offs are at the early age,academic organizations always play an indispensable role of "parents" supporting their development. When they grow up form small business to big companies,the drawbacks of academic organizations involving in the business management as “parents” have gradually emerged. Meanwhile,along with more and more external funds investments into spin-offs,owners equities of academic organizations have to be diluted. In this case,is it a good option for academic organizations to keep controlling their spin-offs? This paper takes the listed academic spin-offs in China as samples,and analyzes the influence of the control rights of spin-offs on their performance. It is found that the academic organization control their spin-offs significantly promotes corporate performance,Controlling spin-offs can help them achieve better performance.

This paper puts forward four types of openness combination strategies including high width-high depth, high width-low depth, low width-high depth and low width-low depth according to the width and the depth, two dimensions of innovation openness. Taking absorptive capacity as moderator variable, a theoretical model of the relationship between openness combination strategy and innovation performance is constructed. Investigation object includes 201 enterprises which distribute in three major regions and three industries in China. The multiple linear regression analysis method is used for empirical analysis. The results show that those carrying out high width-high depth combination strategy prefer to purchase radical innovation performance, but those carrying out three other strategies prefer to purchase gradual innovation performance. Absorptive capacity does not only positively moderate the relation between the high width-high depth, high width-low depth, low width-high depth and radical innovation performance, but also positively moderate the relation between the high width-high depth, high width-low depth, low width-high depth and gradual innovation performance.

Under the background of increasingly serious environmental pollution, how to implement green entrepreneurial orientation to establish sustainable competitive advantage is an urgent problem. According to the natural-resource-based view, this study puts forward the research framework of "green entrepreneurship orientation-green organizational identity-green innovation - sustainable competitive advantage", and takes 203 manufacturing enterprises with high environmental pressure as the research object, obtains relevant data through questionnaire survey. The results show that:as a strategic decision-making mode that takes environmental protection and economy into account, green entrepreneurial orientation has a positive impact on sustainable competitive advantage;green organizational identity and green innovation are the key paths for enterprises to implement green entrepreneurial orientation and establish sustainable competitive advantage, which play an intermediary role in the relationship between green entrepreneurial orientation and sustainable competitive advantage;green organizational identity and green innovation play a chain intermediary effect in the relationship between green entrepreneurial orientation and sustainable competitive advantage. The research provides useful guidance and suggestions for enterprises to implement green entrepreneurship orientation and build sustainable competitive advantage.

Improving the innovation ecosystem and enhance the regional innovation ability is an important goal of the construction of science and technology business incubator in China. Based on the panel data of 30 provinces in China from 2013 to 2018, this paper uses panel data model to empirically test whether the technology business Incubator has achieved the goal of promoting regional innovation ability, and based on the intermediary effect model, discusses the indirect role of venture capital and incubation fund in it. The results show that: ①the construction of S&T business Incubator significantly improves the level of regional innovation, but the main increase is the total number of patent applications for utility models and designs, while it has no significant effect on the number of invention patents. This result still robust after excluding the sample of municipalities directly, adopting random effect model and spatial econometric model;②when the intermediary effect model is used to test the mechanism, increasing the scale of regional venture capital and incubation fund is the mechanism of technological business Incubator influencing regional innovation level;③the impact of S&T business incubator on regional innovation varies greatly among different regions, especially in eastern provinces;moreover, the strength of policy tools has a positive moderating effect on the relationship between S&T business Incubators and regional innovation.

This paper dose spatial regression based on panel data of 1997-2017 with 31 regions of Chinese mainland.Taking the number of patents as the index of innovation, we get the regression results of import to innovation.It is found that import has a significant positive effect on local and neighborhood regions.According comparation of the values of coefficients, we find that the neighborhood effect is far greater than that of local effect.The importance of neighborhood effect is confirmed.The number of R&D persons and the stock of physical capital have significantly negative neighborhood effects.It indicates the competitive relationship between regions on innovative production factors.Then, we use different data of capital to test the robustness of the regression results.Policy suggestion is that in the "double cycle" stage, under the background of counter-globalization, China still needs to expand the import of various products firmly.Suggestions to local governments is to strengthen introduction of talents and capital while expanding the import, because that they are competitors on the introduction of innovative production factors.

Research on cross-border entrepreneurship is widely concerned by the academia and enterprises, but it is mostly from the perspective of open innovation and knowledge, and lacks of research from the perspective of strategic orientation.Based on the theory of strategic management and the theory of entrepreneurship, combined with the internet economic situation, this paper explores the path and boundary of cross-border entrepreneurial strategic orientation affecting enterprise performance.The empirical analysis of 710 questionnaires shows that: the strategic orientation of cross-border entrepreneurship has a significant positive impact on corporate performance.Online and offline interaction plays a part of intermediary role between strategic orientation of cross-border entrepreneurship and enterprise performance.Environmental uncertainty positively moderates the mediating effect of online and offline interactions.The research conclusions enrich the research on cross-border entrepreneurship at the strategic level and provide theoretical reference for the practice of cross-border entrepreneurship of enterprises.

Digital economy has deepened the company's attention to the needs of customers, and boundary-spanning has become a new strategy for enterprises to meet customer needs and enhance their own competitiveness, which presents the characteristics of deep integration and value innovation. Aiming at these characteristics, this paper proposes a boundary-spanning connotation based on value proposition. It believes that boundary spanning is the process of mutual penetration and integration of different value propositions to form new value propositions, and uses the knowledge transfer process in absorptive capacity theory to describe the transboundary process in detail. In addition, according to the connotation, boundary-spanning phenomena are divided into three categories: the mutual influence of multi-subject and multi-value propositions, the one-way influence of dual-subject and dual-value propositions, and the integration of single-subject and multi-value propositions. Cases are selected to analyze the process of each category, so as to deepen the understanding of boundary-spanning. Finally, future research directions are proposed from three aspects: the antecedents that affect the boundary spanning, the learning barriers in the boundary-spanning process, and deepen boundary spanning case studies.

This paper constructs a panel data of "Macro-Region-Micro" which includes macro level economic policy uncertainty index, provincial and municipal economic complexity and characteristic variables of listed companies. On the basis of theoretical analysis of the mechanism of economic policy uncertainty on enterprise innovation behavior, the impact of economic policy uncertainty on enterprise innovation behavior is Re-examination. The results show that: economic policy uncertainty has a positive incentive effect on enterprise innovation. At the same time, the economic complexity of provinces and cities can not only promote enterprise innovation behavior, but also strengthen the impact of economic policy uncertainty on enterprise innovation behavior, that is, inhibit the negative effect and strengthen the positive effect. The robustness test of the measurement method considering endogeneity and substitution of core variables ensures the reliability of the research conclusion. Further research and development, high-tech enterprises and non-high-tech enterprises have an impact on the above conclusions.

The generic patent challenge mechanism is the core of the pharmaceutical patent link system.While the construction of generic patent challenge mechanism under the existing norm system may be a conflict with the current Patent Law, it is necessary to resolve such dispute through legislation or legal interpretation.Under the paradigm of statutory interpretation, the two legislative approaches to the infringement interpretation of generic patent challenges are deduced and reflected, supplemented by the perspectives of institutional systems, international obligations, legal policies, and law and economics.The holding is that the approach of legal fiction is more feasible.In the system construction under the proposed method, the technical norms of legal fiction should be emphasized, and the supporting system should be properly handled.

Based on the innovation-driven theory and multiple regression analysis method, this paper explores the impact of market demand and government intervention on the innovation performance of enterprises in different life cycles.Studies show that ：R&D subsidies and preferential tax policies coordination complementary effect significantly, but the combined effect will be due to the enterprise in different life cycle show significant differences, in particular, the chips are a combination of enterprise competition effect effect, are mature enterprise combination effect of complementary effect significantly, the recessionary business combination effect had no significant effect;in general, market demand significantly promotes the improvement of enterprise innovation performance, but has a significant positive promoting effect on enterprises in growth and maturity stage, and a significant inhibiting effect on enterprises in recession stage;the market demand for innovation policy combination and the relationship between the enterprise innovation performance has negative adjustment function, and the conclusions are consistent in different life cycle of enterprises, in the growth of enterprises, government intervention is better than that of market regulation, in a mature enterprise, market regulation is better than that of government intervention, in recession, policy guiding effect is better.Finally, based on the above research results, this paper puts forward countermeasures and Suggestions to promote innovative and high-quality development.

In order to deepen military-civilian integration and optimize resource allocation, it is of great practical significance to study the impact of government subsidies on the innovation of military-civilian integration enterprises.This paper selects samples of 127 military-civilian integration enterprises from 2007 to 2018 for empirical research, constructs a dynamic panel model of the impact of government subsidies on innovation input of military-civilian integration enterprises, and includes local financial expenditure on science and technology as a moderating variable.In order to solve the endogeneity problem, the rent-seeking variable of enterprises was constructed as the exogenous instrumental variable of government subsidy, and the difference GMM method was used to estimate it.The regression results show that the previous R&D investment of military-civilian integration enterprises has some influence on the current R&D investment, the government subsidy has a positive influence on the R&D investment of military-civilian integration enterprises, and the local finance science and technology expenditure has a magnifying effect on the positive influence of government subsidy.On the basis of empirical research, this paper puts forward policy suggestions for promoting the collaborative innovation of military-civilian integration.

With the increasing complexity of the national defense industry and the failure of traditional governance theories, accurately clarifying the cooperation network, relationship structure and evolution process between existing governance institutions has become an important issue for the modernization of country's national defense industry. This network includes not only the two major governance bodies of the army and the people, but also the two major functional departments of public and private. The research is based on the idea of "meta-governance" theory, using the 614 policies issued from 1998 to 2018 as the research sample, and applying social network analysis to investigate the governance network structure, inter-institutional interactions, and main role positioning of the national defense industry in different periods. Study shows that the relationship network is a self-organizing network that has evolved with the policy changes of the national defense industry. The network structure has changed from "loose" to "coupled", the core of the network has changed from "single core" to "multi-core", and the governance model has changed from " "fragmented response" is shifting to "co-governance"; individual nodes show different roles in different periods, which are mainly manifested in four groups: collaborative leader, lead leader, reciprocal follower, and marginal follower. Finally, from the perspective of "meta-governance", it re-examines the cross-departmental collaborative governance relationship of heterogeneous subjects in the national defense industry, and proposes corresponding governance strategies.

Under the background of the cross-integration of organizational network theory and knowledge management theory,the current research status of innovation practice and theory shows the necessity of in-depth research on knowledge network capability. Based on the organizational network theory and knowledge-based view,the results show that knowledge network capability has a positive impact on knowledge network capability. Organizational innovation has a positive impact; innovation duality mediates the relationship between knowledge network capability and organizational innovation; network location transition mediates the relationship between knowledge network capability and organizational innovation; knowledge base positively regulates the relationship between knowledge network capability and organizational innovation; environment dynamics positively Regulate the relationship between knowledge network capability and organizational innovation. The above research results expand the theoretical research on knowledge network competence,and have important implications for the practice of organizational innovation.

The exponentially increasing amount of data and emerging technology tools in the era of big data have put forward new requirements for enterprise knowledge management. It is of great significance for improving enterprises' core competitive capability to explore how big data can empower the innovation of enterprise knowledge management. This paper adopts the grounded analysis method and takes Huawei as the case to conduct a systematic research on the internal mechanism and evolving path of big data empowering the innovation of knowledge management. A theoretical analysis framework of "innovation environment-innovation subject-creative development" is proposed. According to the characteristics of evolution of the enterprise's knowledge management, this paper divides the path of innovating the enterprise's knowledge management into three stages: knowledge accumulation stage empowered by external data, knowledge absorption stage empowered by internal data, and knowledge innovation stage jointly empowered by internal and external data. For each of those three stages an in-depth analysis on the internal mechanism of big data empowering the innovation of knowledge management is conducted. The research results of this paper can provide theoretical support and references for decision for the evolution and promotion of enterprise knowledge management innovation in the era of big data.

In this paper,city size is introduced into the new spatial economics theoretical model to discuss the mechanism of public service and city size on talent location, and the data of CMDS 2011-2017 and 244 cities data from 2010-2016 are used to test empirically.It finds out that:Firstly,city size has a nonlinear threshold effect on the public service, and only when city size meets a certain threshold condition, the supply of public services can significantly attract the inflow of talents; Secondly,the empirical analyses at the national level effectively verify the theoretical expectations;Thirdly,by region, the threshold conditions of eastern regions and central and western regions are heterogeneous, and talent flow in eastern cities presents competitive effect, talent flow in central and western cities presents agglomeration effect;Finnally,from the point of view of urban hierarchy, the threshold conditions of large cities and small and medium cities are obviously different, increasing the supply of public services has obviously affect on attracting talents in small and medium cities.At last, this paper puts forward the countermeasures of public service supply based on city size and regional heterogeneity.

Innovation is essentially a process of new knowledge generation, this study based on the goal orientation theory and the knowledge management theory, introduces two variables, knowledge sharing and knowledge hiding to study the influence mechanism of achievement goal orientation on innovation behavior, constructs a theoretical model of multi-category achievement goal orientation influencing innovation behavior through dual paths, and considers the influence of situational factors. Through empirical research, it is found that different achievement goal orientation has different effects on innovation behavior, learning goal orientation and performance approach goal orientation both have positive effects on innovation behavior, and knowledge sharing plays an intermediary role. Performance avoid goal orientation has a negative effect on innovation behavior, and knowledge hiding plays an intermediary role.

At present, in the field of business model, the diversity of research perspectives is a prominent feature. Scholars are actively exploring some new perspectives to understand business model. Since the concept of value was introduced to business model, business model research based on the value perspective has begun to rise. A lot of researchers are active to interpret business model from the perspective of value, and try to reveal the value logic behind business model. The conceptions, such as value proposition, value creation, value distribution, value delivery, value capture and so on, appear more frequently in business model research. Grounded in the existing theoretical researches, this paper is intended to define the special connotations of these related concepts in business model, analyze the logical relations among them, and then discuss the value logic structure of business model as well as its evolutionary motivations and modes. Therefore, this paper can promote the understanding and attention of value logic thinking behind business model, and play a guiding role for new entrants in business model research as well as provide useful enlightenment for business management practices.

Technological entrepreneurial enterprises waiting for incubation have the high risk of transforming conceptual technology into differentiated products, and they also have the characteristics of high returns after product differentiation is accepted by the market. Effective incubation capital risk management and control has become the key to promoting external capital investment. In response to the above problems, this article selects three typical cases that have created a high success rate in the field of technology entrepreneurship incubation, the Proof of Concept Center, Y Combinator and the innovation workshop. This paper collects case data, analyzes the risk management and control models of these three cases in key links such as startup project screening and incubation capital investment, and improves the theoretical methods of capital risk management and control for business incubators in my country. The research conclusions can provide reference for the rapid development of business incubators.

Organizational resilience reflects the resilience of an organization after facing difficulties and challenges, and it is one of the key issues in the field of sustainable growth of enterprises.In recent years, academic interest in the study of organizational resilience has gradually increased, but there is still a lack of consensus on the connotation, dimension and measurement of organizational resilience.Based on the existing theoretical research on organizational resilience, this paper refines the connotation and dimension of organizational resilience and develops the corresponding measurement scale by systematically combing the literature and semi-structured interviews with enterprise practitioners.Exploratory factor analysis and confirmatory factor analysis are carried out by using the data collected from two large-scale questionnaire surveys.The empirical analysis shows that the scale developed in this research has high reliability and validity, which can reflect the connotation and dimension of organizational resilience very well and can make up for the deficiency of the existing scale of organizational resilience research, providing reference for the follow-up study of organizational resilience in China.

Considering the complexity of the current innovation environment, the coupling system of science and technology has become an open system that evolves under the influence of both internal and external factors. A state space model for the coupling system is constructed. By solving the model, the intensity of scientific technicalization and technological scientificization are described, and the complementary effect and cost effect of science and technology interaction are analyzed. Based on it, the coupling effect of science and technology of 29 provinces is evaluated, and the type of coupling path of sci-technology development in different regions is measured. The conclusions show that the evolutionary effects of the process of scientific technicalization and technological scientificization in different provinces are significantly different, and it doesn’t mean that the better the coupling effect is, the faster the development of science and technology is. The path in most provinces is sci-tech-balanced path, and the path with the smallest proportion is tech-strong path.At last the pointed are proposed .

At present, China's government R&D funding to enterprises is rapidly increasing, and in the dynamic external environment, ,It has an important impact on the output of corporate R&D activities.but it is more important to pay attention to the factors and effects of R&D funding fluctuations on enterprises' R&D activities. This paper reexamines enterprise R&D investment from the perspective of government funding fluctuation, and on the basis of applying the panel data cluster analysis method to classify the degree of technology market development in each province and city in China from 2011-2018, and taking industrial enterprises above the scale as the sample, we conducted a comprehensive analysis of government funding fluctuation, the degree of technology market development and enterprise R&D investment. The results found that: 1. the fluctuation of government funding has a negative effect on enterprise R&D investment; 2.the degree of technology market development has a gradually weakening positive effect on enterprise R&D; 3.the degree of technology market development can significantly regulate the negative effect of fluctuation of government funding on enterprise R&D investment,and finally reach the positive effect. Finally, some policy suggestions are made on how provinces and cities can reasonably formulate government funding programs and accelerate the development of technology markets.

Based on the innovation environment-transformation and upgrading coupling perspective, using TOPSIS entropy weight method, coupling coordination degree model, and nonlinear time-varying factor model to analyze the coupling relationship between the green innovation environment and industrial transformation and upgrading in 30 provinces and cities in China from 2007 to 2017 Evolution characteristics, research found:①Since 2007, although the overall coupling degree of China's green innovation environment and industrial transformation and upgrading has improved, the degree of coordination is still low, and the level of coupling coordination has not undergone a significant transition, and the coupling level has shown a downward trend from east to west.②Inter-regional differences are the main source of the gap in the degree of system coupling and coordination.Under the development trend of regional differences and multi-polarization, there are 4 potential convergence clubs in its development trend, showing a geographic "blockchain" convergence trend.③The QAP method was further used to test the factors affecting the differences in regional coupling, and it was found that the differences in regional economic development, informatization level, education level, and urbanization level were the main reasons, while the geographical proximity and club convergence development trends are conducive to narrowing the differences in regional coupling development.

Based on the panel data of 30 provinces, cities and regions in Chinese mainland from 2009 to 2018, the paper uses the factor distortion measurement model to calculate the talent and capital misallocation index of enterprise, university and research institution, then divides resource allocation into relative insufficient and relative redundant conditions, and uses the super-efficiency SBM-DEA model to measure the provincial innovation efficiency; further, explores the influence of innovative resource misallocation of Industry-University-Research on provincial innovation efficiency. The study finds that in different provinces, for enterprise, “no matter if the talents are more or the capital is less, they all have the same effect”, that is, redundant talent allocation and insufficient capital allocation are both beneficial to the improvement of provincial innovation efficiency; while insufficient talent allocation and redundant capital allocation have no significant influence on improving provincial innovation efficiency. For university, “the quantity of talent and capital are related to the rise and fall of innovation”, that is, insufficient talent allocation and capital allocation are both detrimental to the improvement of provincial innovation efficiency; redundant talent allocation and capital allocation are both beneficial to the improvement of provincial innovation efficiency. For research institution, “insufficient talent and capital inhibit the innovation”, that is, insufficient talent allocation and capital allocation are both detrimental to the improvement of provincial innovation efficiency; redundant talent allocation and capital allocation have no significant influence on provincial innovation efficiency.

The Yangtze River Delta region is one of the strongest regions in China in terms of comprehensive strength and is an important intersection of "The Belt and Road" and the Yangtze River Economic Belt. In 2019, the central government clearly proposed to elevate the integration of the Yangtze River Delta region to a national strategy, and the overall development of the Yangtze River Delta region has a special strategic status different from other regions,it has a prominent driving role.The construction of Shanghai as a scientific and technological innovation center with global influence is more conducive to promoting the integrated high-quality development of the Yangtze River Delta. Therefore, this paper firstly draws on the electrostatic field theory to construct an innovative radiation field model to analyze the evolution of the radiation effect in the Yangtze River Delta region from 2011 to 2019. Secondly, the impact of the radiation effect of science and technology innovation center on regional innovation performance is explored in three dimensions of time distance, technology distance, and economic distance. Finally, countermeasure suggestions to promote the integrated development of the Yangtze River Delta region are proposed in a targeted manner.

In order to solve the dilemma of low-end lock in the global value chain of high-tech industry, China needs to build and improve the division system of national value chain. This paper constructs the analysis framework of endogenous value-added transmission structure of China's high-tech industry national value chain (NVC), and decomposes the provincial domestic added value by taking electronic information industry as an example. The results show that at present, the upstream technology R&D ability of China's electronic information industry is weak, as well as the overall value-added ability; Both the number and correlation coefficient of the downstream indirectly related industrial sectors are still to be improved; Except of midstream, the domestic added value from exports and the international competitiveness in the upstream and downstream are both low; The eastern and central provinces have their own advantages in terms of domestic total added value and endogenous value-added capacity, while the domestic total added value and endogenous value-added capacity of northeast and western provinces are both weak. At the same time, the degree of international vertical specialization of China's provinces, which is different between provinces in the same region, does not show obvious geographical characteristics.

Manufacturing industry needs to seize the opportunity of Internet to implement intelligent manufacturing and realize transformation and upgrading. The connotation of enterprise transformation and upgrading is to realize digitization, platformization and intellectualization. Platformization is the new direction of intelligent manufacturing development, and platform strategy is the overall planning of intelligent manufacturing. However, there is a lack of research on the open innovation platform model of intelligent manufacturing enterprises, and it does not pay attention to the heterogeneity of platform strategy. Based on grounded theory, two typical intelligent manufacturing enterprises, Haier and Siemens, are selected for comparative analysis, and the platform strategy model of the two enterprises is summarized: Siemens adopts the open Internet of things cloud platform ecosystem strategy oriented to factory management and service; Haier implements the whole process innovation ecosystem strategy of multiplatform mass customization facing users. Through comparative analysis, it is found that the two enterprises are heterogeneous in platform core strategy, platform process strategy, platform integration strategy, platform guarantee strategy and platform expansion strategy, and the economic, social, cultural and technological reasons for the heterogeneity are discussed.

Constructing an improved knowledge width method to measure the patent quality of enterprises,this paper takes the data of A-share listed companies in Shanghai and Shenzhen from 2007 to 2016 as a sample to study the impact of individual blockholders on the patent quality of enterprises and the differences of their roles in different types of enterprises.The results show that as "strong supervisors",individual blockholders can improve the quality of enterprise patents.However,with the role changing from "strong supervision" to "free riding",this promotion does not exist in state-owned enterprises and enterprises with political connections.In addition,the role of individual blockholders in improving the patent quality of enterprises is realized by strengthening the supervision of managers and R&D personnel.

Considering the situation of market competition and green product demand, this paper uses fsQCA method to explore the internal mechanism and condition path of intellectual capital influencing ecological innovation from the perspective of configuration. Through the empirical test of 188 manufacturing enterprises, it is found that enterprises will choose different ways to achieve high ecological innovation according to the external situation. Among them, human capital is the most core value of intangible assets, which is the necessary condition for enterprises to implement ecological innovation; organizational capital and relationship capital play a contingency role in the innovation process; market competition and the existence of green product demand are the external driving force for enterprises to implement ecological innovation. The lack or mismatch of some elements of intellectual capital is the internal cause of low ecological innovation, while the weak demand for green products and the lack of fierce market competition are the external causes of low ecological innovation. The conclusion of the study provides a direct theoretical basis for the practice of Ecological Innovation of enterprises, and has important practical significance for guiding the implementation of Ecological Innovation of enterprises in China.

From the perspective of the innovation ecosystem, this study explores how value co-creation affects enterprises innovation performance, with innovation resources interaction as the mediating variable and ecosystem regulation mechanism as the moderating variable. The study processes and analyzes 307 company samples by SEM, Bootstrap and hierarchical regression analysis. The study finds that: firstly, in the innovation ecosystem, value co-creation partially directly affects enterprises innovation performance; secondly, innovation resources interaction can partially intermediate the impact of value co-creation to enterprises innovation performance; thirdly, the ecosystem regulation mechanism can partially positively regulate the impact of value co-creation on innovation resource interaction. These findings enlighten the regulators and enterprises of the innovation ecosystem to make different implementation plans to enhance innovation performance, create an active atmosphere of innovation resource interaction, and form and improve the ecosystem regulation mechanism.

Energy-saving and environmental protection enterprises are important players in China’s green technology innovation. By constructing a theoretical model, based on the data of 89 companies in Shanghai, this paper conducts an empirical analysis of the impact of open innovation on energy-saving and environmental protection enterprises’ innovation performance. This paper finds that energy-saving and environmental protection enterprises have a strong dependence on open innovation. But the impact of open innovation on energy-saving and environmental protection enterprises’ innovation performance is complex, where are both “promotion effects” and “substitution effects”. The interaction of external knowledge improves the innovation performance of energy-saving and environmental protection enterprises, and may also lead to external technology dependence. Second, the impact of open innovation on technological development and commercialization of research findings is different. Energy-saving and environmental protection enterprises should effectively carry out external innovation cooperation by considering innovation stages and its own characteristics. Third, open innovation needs to be built on the basis of internal innovation input of enterprises. Energy-saving and environmental protection enterprises should pay attention to internal innovation input and external technology digestion and absorption, and realize the superposition of internal and external innovation elements.

With more opportunities brought by economic globalization, enterprises in developing countries can allocate resources globally through cross-border mergers and acquisitions (M&As) to establish their own competitive advantages. In these actions, knowledge governance from the acquirer side plays an important role in motivating the knowledge employees of the target side, facilitating them to stay voluntarily and serve the innovation strategy of Chinese enterprises, but the existing research fails to explain how to government knowledge especially how to choice the mode of knowledge governance. Based on the research framework of knowledge governance, four representative successful cross-border M & A cases are selected, then this paper focuses on the process of ambidextrous innovation and knowledge governance in these four cases. It is found that the ambidextrous innovation mode of enterprises influences the choice of knowledge governance mode. In the process of M & A integration, enterprises have formed three ambidextrous innovation modes: equal emphasis on exploitation and exploration innovation and focusing on one of exploitation and exploration innovation while consider the other, and three corresponding governance modes: hybrid mode, authoritarian mode and cooperative mode. The influence path is: ambidextrous innovation determines the goal of knowledge governance, and the goal of governance determines the combination of formal and informal governance mechanisms. The influencing mechanism is that the formal and informal governance mechanisms are more suitable for the characteristics of exploitation and exploration innovation respectively, therefore, when enterprises choose equal emphasizing on exploitation and exploration innovation or focusing on one of them while considering the other, they must choose the corresponding combination of formal and informal knowledge governance mechanisms.

The operating mechanism of knowledge increment in collaborative innovation under the Internet environment has undergone major changes. From the perspective of knowledge flow, this article integrates the resource-based view and the knowledge-based view and improves the concept of soft innovation resources to analyze the impact of various dimensions of soft innovation resources on the increment of knowledge in collaborative innovation through four cases. Research shows that the Internet's characteristics can nurture soft innovation resources, which in turn affect the increment of knowledge in collaborative innovation. Among them, soft innovation resources include four dimensions: open information resources, collaborative relationship resources, innovative cultural resources, and technical capability resources, and they mainly act on the processes of knowledge acquisition, knowledge transfer, knowledge creation and application to realize knowledge increment. Finally, relevant suggestions are put forward on how to maximize the role of the internet in promoting knowledge increment.

Knowledge worker bear the main responsibility of technological innovation in knowledge-based economy. A few studies discussed the influence of human resource slack on innovation, but how knowledge worker slack work on different types of innovation has not been referred to. Using panel data of 277 listed companies in Small and Medium-Sized Plate from year 2012 to 2017 as sample, this paper employed Poisson Model to analyze the relationship between knowledge worker slack and ambidextrous innovation. Then, try to probe the moderation role of external environment characteristic (such as development level of factor market and market uncertainty). Studies show that knowledge worker slack plays an inverted U-shaped role in both exploitative innovation and exploration innovation, that is to say, too much or too little knowledge worker slack is not good to conduct different types innovative activities; the moderating effect of different environmental characteristics are heterogeneous between them. The role knowledge worker slack plays on both exploitative innovation and exploration innovation is weaken by development level of factor market. The influence knowledge worker slack has on both exploitative innovation and exploration innovation is strengthened by market uncertainty.

Based on the theory of social exchange and social cognition, the paper explores the influence of performance appraisal on employees′ bootleg innovation and the mediating role of role-breadth self-efficacy and the moderating role of shared leadership in this mechanism. The result of data analysis showed that:(1) the developmental performance appraisal significantly and positively affected employees′ bootleg innovation, and the evaluative performance appraisal significantly and negatively affected employees′ bootleg innovation;(2) role-breadth self-efficacy partially mediated the relationship between performance appraisal and employees′ bootleg innovation;(3) shared leadership positively moderated the indirect effect of performance appraisal on employees′ bootleg innovation via role-breadth self-efficacy. That is, the indirect effect of the developmental performance appraisal on employees′ bootleg innovation via role-breadth self-efficacy was significant stronger when shared leadership was high; whereas the indirect effect of the evaluative performance appraisal on employees′ bootleg innovation via role-breadth self-efficacy was significant weaker when shared leadership was high. The present research not only enriches and extends literature of performance appraisal and employees′ bootleg innovation，but also provides implications on how to improve employees′ innovation behavior in the workplace.

This paper uses innovation capability as an intermediary variable to analyze the influence mechanism of niche suitability on high-quality economic development, constructs a threshold effect model, and collects relevant data on the niche suitability、innovation capability of innovation systems, economic high quality development in 30 provinces and municipalities in my country from 2009 to 2018, accurately measures the niche suitability and its impact on high-quality economic development through innovation, and uses Arcgis software to visualize the niche suitability.Finding that:①There is regional imbalance in the suitability of the innovation ecosystem, which is characterized by high in the east and low in the west, high in the coast and low in the inland.The Matthew effect is significant, and some central and western provinces and cities have made significant progress.②The characteristics of agglomeration of innovation niche suitability are obvious, which can be divided into four sections: "three pillars", "Yangtze River Delta-dominant", "central-dominant", and "western-dominant".③Niche fitness has a double threshold effect on innovation ability and high-quality economic development, and the impact effect increases marginally.

Innovation diffusion happens in social system; diffusion and social system always interact with each other.Network is an important way to depict this social factor; however,static or exogenously dynamic undirected innovation diffusion networks in literatures always either neglect or cannot reflect the coevolution of diffusion and social system embodied by network,and fail to capture the asymmetry of influence.Based on directed network,this study puts forward a conceptual frameworks to capture the coevolution of diffusion and network; following the perspectives of information searching and cognitive dissonance reduction,and based on information entropy and cumulative advantage,this study constructs mathematical models for network evolution and innovation adoption at the individual level.Based on the Repast Simphony 2.7 development platform,this study chooses a Java-based Agent-based Modeling approach to conduct comprehensive simulation experiments.Experiment data-based descriptive results reveal: innovation diffusions under dynamic and static network are significantly different,the evolution of network structure could increase the inequity of node out-degree,a better innovation result always comes with a more unequal node out-degree distribution; and other factors,including mass communication and personal communication,would also affect the coevolution of diffusion and network; and interactions exist among control variables.Referential results confirm the influences of control variables and the prevalence of interactions.

What kind of cognition an entrepreneurial platform should have and how to influence incubated enterprise opportunity development are the key to improving the utilization of incubated resources.Based on the alertness theory in the cognitive domain, it studies the impact of entrepreneurial platform resource alertness on incubated enterprise opportunity development (innovative and imitative), and the multiple mediating effects of sense-giving (direct and indirect giving).Taking the incubated enterprise as the research samples, and using the structural equation model to test.The results show: entrepreneurial platform resource alertness has a significant positive impact on the innovative and imitative opportunity development of incubated enterprise.The direct and indirect giving in sense-giving play a complete mediating role.There is no statistically significant difference between the mediating effects of direct and indirect giving.This study has certain guiding significance for the entrepreneurial platform to clarify the organizational role, optimize services and improve the utilization of incubated resources.

This paper considers the pilot policy of integrating technology with finance as a quasi-natural experiment, and uses the data of 283 cities in China from 2005 to 2017 to evaluate the impact of the pilot policy of integrating technology with finance on total factor productivity growth using a differential method.The research conclusions are as follows:①the pilot policies combining technology with finance have a positive effect on TFP growth and pass the significance level test;②the pilot policies of integrating technology with finance mainly promote the growth of total factor productivity by improving the innovation level and financing capacity of cities, and the innovation level and financing capacity play an intermediary role between the pilot policies of integrating technology with finance and the growth of total factor productivity;③the impact of pilot policies combining technology with finance on TFP growth is heterogeneous.Cities with higher levels of economic development and higher levels of financial development have greater impact on TFP growth.This paper proposes to strengthen financial resources to support scientific and technological innovation, ease the financing constraints of enterprises, and strengthen the government's support for innovation.

Based on super-efficiency BCC model, measure the innovation efficiency of each city and the overall innovation efficiency within China's three eastern urban agglomerations from 2010 to 2018, investigate the innovation efficiency gap within urban agglomerations by using the coefficient of variation, so as to explore the relationship between the internal gap and the overall innovation efficiency of urban agglomerations, and use the panel Tobit model to analyze the specific factors affecting the innovation efficiency.The results showed that the innovation efficiency of the three urban agglomerations has been generally improved; the innovation efficiency of innovation core cities in the Yangtze River Delta urban agglomeration is relatively insufficient, the number and efficiency of innovation node cities in the Beijing-Tianjin-Hebei urban agglomeration are both insufficient, and the innovation investment in the innovation hinterland of the three urban agglomerations is insufficient;the innovation efficiency gap of the three urban agglomerations goes through a changing process from expanding to narrowing, the innovation efficiency of urban agglomerations is affected by the innovation efficiency gap among cities within urban agglomerations, the innovation efficiency gap among cities in urban agglomerations should be kept moderate, which is not conducive to the improvement of the overall innovation efficiency of urban agglomerations if the gap is too large or too small; the factors affecting the innovation efficiency of the three urban agglomerations had regional differences.