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25 May 2021, Volume 38 Issue 10
    

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    Innovation in Science and Technology Management
  • Hui Xiang,Li Bingxiang,Wu Zuguang,Zhai Ruifeng
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 1-8. https://doi.org/10.6049/kjjbydc.2020080524
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    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.

    Hui Xiang,Li Bingxiang,Wu Zuguang,Zhai Ruifeng. Research on Risk Management and Control of Incubating Capital of Technological Entrepreneurship Business[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 1-8., doi: 10.6049/kjjbydc.2020080524.

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  • Zhang Xiue,Teng Xinyu
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 9-17. https://doi.org/10.6049/kjjbydc.2020090049
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    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.

    Zhang Xiue,Teng Xinyu. The Connotation,Dimensions and Measurement of Organizational Resilience[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 9-17., doi: 10.6049/kjjbydc.2020090049.

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  • Lu Yuting,Zhou Xiaoliang
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 18-27. https://doi.org/10.6049/kjjbydc.2020040489
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    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 .

    Lu Yuting,Zhou Xiaoliang. An Evaluation of Coupling Effect of Science and Technology[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 18-27., doi: 10.6049/kjjbydc.2020040489.

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  • Wang Jinfu,Li Jiahui,Zhang Yingying,Li Hao
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 28-35. https://doi.org/10.6049/kjjbydc.2020110013
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    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.

    Wang Jinfu,Li Jiahui,Zhang Yingying,Li Hao. Government Support Fluctuation, Development Extent For The Technology Market and Enterprises R & D Investment[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 28-35., doi: 10.6049/kjjbydc.2020110013.

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  • Regional Scientific Development
  • Zhang Hongying,Geng Chengxuan
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 36-45. https://doi.org/10.6049/kjjbydc.2020120080
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    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.

    Zhang Hongying,Geng Chengxuan. Analysis on the Regional Difference and Convergence of the Coupling of Green Innovation Environment and Industrial Transformation and Upgrading[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 36-45., doi: 10.6049/kjjbydc.2020120080.

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  • Chen Huaichao,Zhang Jing,Ma Jing
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 46-55. https://doi.org/10.6049/kjjbydc.2020110056
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    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.

    Chen Huaichao,Zhang Jing,Ma Jing. The Influence of Innovative Resource Misallocation of Industry-University-Research on Provincial Innovation Efficiency:Based on Factor Distortion Measurement Model and Super-efficiency SBM-DEA Model[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 46-55., doi: 10.6049/kjjbydc.2020110056.

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  • Xu Xueguo,Gui Meizeng,Zhang Jialin
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 56-64. https://doi.org/10.6049/kjjbydc.2020070661
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    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.

    Xu Xueguo,Gui Meizeng,Zhang Jialin. The Influence of Radiation Effect of Science and Technology Innovation Center on Regional Innovation Performance Under Multidimensional Distance:A Case Study of the Yangtze River Delta[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 56-64., doi: 10.6049/kjjbydc.2020070661.

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  • Industrial Technological Progress
  • Wan Ke,Chen Pu,Zhang Ying,Chen Lu
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 65-74. https://doi.org/10.6049/kjjbydc.2020080363
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    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.

    Wan Ke,Chen Pu,Zhang Ying,Chen Lu. Network Structure of High-tech Industry National Value Chain and Decomposition of Provincial Added Value:the Evidence from Electronic Information Industry[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 65-74., doi: 10.6049/kjjbydc.2020080363.

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  • Peng Benhong,Huang Qianqian,Zheng Tian
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 75-84. https://doi.org/10.6049/kjjbydc.2021010252
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    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.

    Peng Benhong,Huang Qianqian,Zheng Tian. Research on Strategic Heterogeneity of Intelligent Manufacturing Open Innovation Platform: based on Grounded Theory and Double Case Perspective[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 75-84., doi: 10.6049/kjjbydc.2021010252.

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  • Enterprise Innovation Management
  • Fan Hanwen,Zeng Fanhua
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 85-94. https://doi.org/10.6049/kjjbydc.2020060262
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    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.

    Fan Hanwen,Zeng Fanhua. "Strong Supervision" or "Free Riding": How do Individual Blockholders Affect the Quality of Enterprise Patents[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 85-94., doi: 10.6049/kjjbydc.2020060262.

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  • Hu Yuanlin,Li Ying
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 95-104. https://doi.org/10.6049/kjjbydc.2020040458
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    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.

    Hu Yuanlin,Li Ying. The Influence of Configuration Effect of Intellectual Capital on Enterprise Ecological Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 95-104., doi: 10.6049/kjjbydc.2020040458.

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  • Du Danli,Fu Yipeng,Gao Kun
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 105-113. https://doi.org/10.6049/kjjbydc.2020010175
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    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.

    Du Danli,Fu Yipeng,Gao Kun. How does Value Co-creation Affect Enterprises Innovation Performance from the Perspective of the Innovation Ecosystem[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 105-113., doi: 10.6049/kjjbydc.2020010175.

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  • Shang Yongmin,Zhou Fengqi,Lin Lan
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 114-122. https://doi.org/10.6049/kjjbydc.2020050140
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    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.

    Shang Yongmin,Zhou Fengqi,Lin Lan. Impact of Open Innovation on the Innovation Performance of Energy-saving and Environmental Protection Enterprises[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 114-122., doi: 10.6049/kjjbydc.2020050140.

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  • Knowledge Science and Knowledge Engineering
  • Zhao Zhonghua
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 123-131. https://doi.org/10.6049/kjjbydc.2020060587
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    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.

    Zhao Zhonghua. Research on the Knowledge Governance Mechanisms in Cross-border M&As: from the Perspective of Ambidextrous Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 123-131., doi: 10.6049/kjjbydc.2020060587.

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  • Fang Gang,Chang Ruihan
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 132-140. https://doi.org/10.6049/kjjbydc.2020080856
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    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.

    Fang Gang,Chang Ruihan. The Influence of Internet on Knowledge Increment in Collaborative Innovation of Enterprises[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 132-140., doi: 10.6049/kjjbydc.2020080856.

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  • Sci-tech Talent Cultivation
  • Zou Zengming,Liu Mingxia,Zou Siming
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 141-150. https://doi.org/10.6049/kjjbydc.2020120771
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    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.

    Zou Zengming,Liu Mingxia,Zou Siming. Effect of Knowledge Worker Slack on Small and Medium-Sized Enterprise's Ambidextrous Innovation: the Moderation Role of Environment Characteristic[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 141-150., doi: 10.6049/kjjbydc.2020120771.

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  • Men He,Zhao Huijun,Duan Xu
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(10): 151-160. https://doi.org/10.6049/kjjbydc.2020110251
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    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.

    Men He,Zhao Huijun,Duan Xu. The Influence of Performance Appraisal on Employees' Bootleg Innovation: A Moderated Mediation Model[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(10): 151-160., doi: 10.6049/kjjbydc.2020110251.

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