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25 January 2021, Volume 38 Issue 2
    

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    Innovation in Science and Technology Management
  • The Impact of Strategic Alliance Ambidexterity on Cooperative Innovation Performance: A Moderated Mediation Model
    Wu Yanbo,Shao Yunfei,Yin Junjie
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 1-10. https://doi.org/10.6049/kjjbydc.2020040092
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    Organizational ambidexterity has emerged as a new research paradigm of strategic management in the dynamic environment., yet several issues fundamental to this debate remain controversial. Based on network theory and ambidexterity view, this study discusses the impact of alliance ambidexterity on cooperative innovation performance and studies the mechanism of relational commitment and shared vision with a model of moderated mediator through collecting 253 questionnaires of the enterprises. The results show that: (1) alliance ambidexterity have a significantly positive impact on cooperative innovation performance, and relational commitment played a partially mediating role in the relationship between alliance ambidexterity and cooperative innovation performance; (2) relational commitment have a significantly positive impact on cooperative innovation performance, and shared vision have positive moderating effect on the relationship between alliance ambidexterity on cooperative innovation performance; (3) shared vision moderates the mediating effect of relational commitment on alliance ambidexterity on cooperative innovation performance.

    Wu Yanbo,Shao Yunfei,Yin Junjie. The Impact of Strategic Alliance Ambidexterity on Cooperative Innovation Performance: A Moderated Mediation Model[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 1-10., doi: 10.6049/kjjbydc.2020040092.

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  • An Exploratory Study on the Influence of Public Opinion Supervision on the Technology Ethical Behavior of high-tech Enterprises
    Sun Hui,Chen Hong
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 11-18. https://doi.org/10.6049/kjjbydc.2020020169
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    Based on the grounded theory, this paper studies the influence path of public opinion supervision on the technology ethical behavior of high-tech enterprises. The results are as follows: public opinion supervision affects the technology ethical behavior of high-tech enterprises from three dimensions: public knowledge, media response and government publicity and guidance. The public opinion supervision influences the technology ethical behavior of high-tech enterprises through government technology supervision and policy absorption, the willingness of enterprises to implement technical ethics, employees' reporting and making suggestions, and the self-disciplinary behavior of industry associations. The impact of the willingness of enterprises to implement technical ethics on technology ethical behavior is also affected by the enterprise technical ethics behavior ability. Public opinion supervision has both positive and negative effects on the technology ethical behavior of high-tech enterprises. Therefore, the limited public opinion resources should be combined with the reality of high-tech enterprises to promote the game between the main bodies through full information exchange, the public opinion supervision and enterprise technology management decision-making in their respective boundaries continue to interact with each other. The conclusion of this study can be used for reference to promote the implementation of technology ethics in high-tech enterprises from the perspective of public opinion supervision.

    Sun Hui,Chen Hong. An Exploratory Study on the Influence of Public Opinion Supervision on the Technology Ethical Behavior of high-tech Enterprises[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 11-18., doi: 10.6049/kjjbydc.2020020169.

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  • Resource Ingeniousness-Configuration and Entrepreneurial Opportunity Identification
    Sun Yongbo,Sun Hui,Ding Yixin
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 19-28. https://doi.org/10.6049/kjjbydc.2020030801
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    As the capital to establish competitive advantages, resource must be fully utilized to maximize value. Based on the resource orchestration theory, this paper discusses the pattern of identifying entrepreneurial opportunity formed by resource combination, and uses fsQCA3.0 to analyze it. The results show that: the matching of the structuring and bundling of resources brings into being the leveraging to create the value. a combination of resource elements and a core-focused configuration model can comprehensively explain the characteristics of the entrepreneurial opportunity identification model from multiple levels, in which slack, network and legitimacy resource are the core resource elements, and resource bricolage as capacity utilization acts on these resource elements to create resource value. there are three resource matching mechanisms for identifying entrepreneurial opportunities: institutional response, sensemaking and accumulate development. The study provides guidance for managers on how to identify, acquire, integrate and utilize resources and coordinate resource elements to maximize resource value and identify profitable business opportunities.

    Sun Yongbo,Sun Hui,Ding Yixin. Resource Ingeniousness-Configuration and Entrepreneurial Opportunity Identification[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 19-28., doi: 10.6049/kjjbydc.2020030801.

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  • Study on the Influence of Entrepreneurial Failure on Risk Decision of Restarting Business:Based on Series Mediation Model
    Yang Junping,Zhang Mengjie,Bao Shiyun
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 29-37. https://doi.org/10.6049/kjjbydc.2020030237
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    Entrepreneurship is a powerful catalyst for economic growth, but it is accompanied by huge risks and challenges.Failure is inevitable, and re-entrepreneurship after failure is also of great research value.In the past, most studies on entrepreneurial failure regarded failure as a fixed fact and analyzed the causes, impacts and countermeasures of failure, ignoring the impact of what happened to entrepreneurs in the process of failure on their subsequent entrepreneurial activities.Based on this, from the perspective of time, entrepreneurial failure is divided into failure premonition before the actual occurrence of failure and failure cost after the actual occurrence of failure.In combination with entrepreneurs’ sense of self-efficacy, a series mediation model is constructed.The results show that failure premonition can promote the risk decision of restarting business, while failure cost can inhibit the risk decision of restarting business.Failure cost and self-efficacy play an intermediary role between failure premonition and risk decision of restarting business respectively.The mediating effect of failure cost and self-efficacy between failure premonition and risk decision is not significant.The research enriches the application scope of the re-entrepreneurship risk decision theory and provides reference for the entrepreneurs who are facing the dilemma of failure or have already started re-entrepreneurship activities.

    Yang Junping,Zhang Mengjie,Bao Shiyun. Study on the Influence of Entrepreneurial Failure on Risk Decision of Restarting Business:Based on Series Mediation Model[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 29-37., doi: 10.6049/kjjbydc.2020030237.

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  • Research on the Impact of Collaboration Network on Green Technology Innovation under the Moderating Effect of Knowledge Base
    Wang Chongfeng,Sun Jing
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 38-46. https://doi.org/10.6049/kjjbydc.Q201908306
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    Green technology innovation is an important driving force for green development.Using the patent data of green technology in China from 1985 to 2017, based on the micro-perspective of the innovation organizations, and applying negative binomial regression analysis method, this paper explores the direct influence of three types of collaboration network features such as degree centrality, structural holes and clustering coefficient on green technology innovation, and the moderating effect of three types of knowledge base features such as knowledge breadth, knowledge depth and knowledge convergence on above effects.The empirical results show that:①the degree centrality and structural holes of an organization have a positive impact on its green technology innovation, and the clustering coefficient has a negative impact on it;②the knowledge breadth weakens the positive influence of the degree centrality and structural holes, and weakens the negative influence of the clustering coefficient; the knowledge depth strengthens the positive influence of the degree centrality and structural holes, and weakens the negative influence of the clustering coefficient;the knowledge convergence has different moderating mechanisms in the influence of collaboration network features on different types of green technology patent applications.Finally, from the perspective based on the optimization of the collaboration network and knowledge base features, we put forward some policy recommendations for green technology innovation of firms, universities, scientific research institutions and other innovation organizations in China.

    Wang Chongfeng,Sun Jing. Research on the Impact of Collaboration Network on Green Technology Innovation under the Moderating Effect of Knowledge Base[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 38-46., doi: 10.6049/kjjbydc.Q201908306.

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    • Regional Scientific Development
  • Research on Comprehensive Measurement and Influencing Factors of Collaborative Innovation Efficiency of China's Four Urban Clusters
    Sun Zhenqing,Li Huanhuan,Liu Baoliu
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 47-55. https://doi.org/10.6049/kjjbydc.2020080149
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    As the central strategic area of the country's economic growth and an important part of the new urbanization, the coastal urban agglomerations in eastern China have important practical significance for achieving high-quality economic development. Based on the 2005-2017 prefecture-level city data, taking the Beijing-Tianjin-Hebei, Shandong Peninsula, Yangtze River Delta and Pearl River Delta urban agglomerations as the research objects, the three-stage DEA method is used to measure the efficiency of collaborative innovation of the four urban agglomerations and analyze their temporal and spatial characteristics, using Tobit The regression model analyzes the main factors that affect the efficiency of collaborative innovation in different urban agglomerations, and the results show that:①excluding the influence of external environment and random factors, the average comprehensive efficiency of the other three urban agglomerations is higher than that of the first stage Decrease;②external environmental factors have a significant impact on the efficiency of collaborative innovation. Regional economic levels and government financial support are negatively related to the efficiency of collaborative innovation; R&D support, industrial structure, and opening to the outside world are positively related to the efficiency of collaborative innovation;③the efficiency of collaborative innovation is generally on the rise, but there is a spatial imbalance in the internal city hierarchy;④there are also differences in the main factors that affect the efficiency of collaborative innovation in different urban agglomerations. Based on the above results, it aims to put forward suggestions to promote the collaborative innovation development of different urban agglomerations.

    Sun Zhenqing,Li Huanhuan,Liu Baoliu. Research on Comprehensive Measurement and Influencing Factors of Collaborative Innovation Efficiency of China's Four Urban Clusters[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 47-55., doi: 10.6049/kjjbydc.2020080149.

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  • The Measurement of Talent Agglomeration Level and the Evolution of Time and Space in the Yangtze River Economic Belt
    Liu Zhongyan,Wang Jianmin,Wang Bin,Chen Shuangshuang
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 56-64. https://doi.org/10.6049/kjjbydc.2020060040
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    Based on value chain theory, a regional talent agglomeration level evaluation index system covering the three dimensions of talent agglomeration generation, regional allocation, and efficiency output is constructed. Expert consultation method, analytic hierarchy process and entropy method are used to select indicators and design indicator weights, so as to build a comprehensive evaluation model and a coupling coordination model. Measure and analyze the spatial and temporal evolution of the talent concentration level at the provincial level in the Yangtze River Economic Belt from 2010 to 2018. The results showed that the level of talent concentration in the Yangtze River Economic Belt showed an increasing trend year by year, but it was at a low level. The level of talent concentration in different provinces and cities was significantly different, and the trend of narrowing was gradually slowing down, showing the disadvantage of local efficiency and global inefficiency. The inter-provincial talent aggregation level coupling coordination degree shows an overall upward trend, but the fluctuation is more frequent and the amplitude is larger, and the inter-provincial coupling coordination degree has an uneven development state. To improve the level of talent concentration in the Yangtze River Economic Belt, it is necessary to strengthen the regional talent cooperation mechanism and adopt a differentiated strategy to solve the low-level and uncoordinated shortcomings of talent concentration.

    Liu Zhongyan,Wang Jianmin,Wang Bin,Chen Shuangshuang. The Measurement of Talent Agglomeration Level and the Evolution of Time and Space in the Yangtze River Economic Belt[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 56-64., doi: 10.6049/kjjbydc.2020060040.

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    • Industrial Technological Progress
  • The Research of GERT Network Model of Functional Evolution of New Energy Automobile Industry Chain from the Perspective of Knowledge Mutual Spillover
    Guo Benhai,Peng Ying,Xue Huijuan
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 65-74. https://doi.org/10.6049/kjjbydc.2020060891
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    The new energy automobile industry chain has the characteristics of capital and technology intensive,and spontaneous spillover of knowledge.The improvement of its function and its degree of play determine the quality of industrial development.To improve the innovation competitiveness and overall level of China's new energy automobile industry,the key is to maximize the value of innovation,fully developing and giving full play to the function of industrial chain.Aiming at the development status of China's new energy automobile industry chain,this paper constructs a GERT network model of functional evolution of new energy automobile industry chain based on innovation value flow.From the perspective of knowledge mutual spillover,three simulation scenarios of "no knowledge mutual spillover","preliminary knowledge mutual spillover" and "full knowledge mutual spillover" are designed and compared.The research shows that knowledge mutual overflow can significantly promote the innovation value added of industrial chain,improve the probability of value transfer.It is of great significance for improving the functions of the raw materials,batteries and motors links.The relevant departments should take more active measures in developing decentralized charging pile and increasing R&D funds and talent input in the links of "three electricity".

    Guo Benhai,Peng Ying,Xue Huijuan. The Research of GERT Network Model of Functional Evolution of New Energy Automobile Industry Chain from the Perspective of Knowledge Mutual Spillover[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 65-74., doi: 10.6049/kjjbydc.2020060891.

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    • Enterprise Innovation Management
  • Does Centralized Ownership Structure Affect Innovation of Information Technology Enterprises
    Gu Lulu,Zhang Kaige
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 75-84. https://doi.org/10.6049/kjjbydc.2020060101
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    Concentrate holdings is common in Chinese enterprises.Based on principal-principal agency theory, we investigate the impact of different Centralized Ownership and Non-executive Directors on innovation.Using the sample of Chinese listed enterprises in information technology sector in Osiris and CSMAR database, we found that enterprises with absolute centralized ownership are more efficient in innovation with conservative input and higher output, while the relative centralized ownership has a lower innovation efficiency with higher input and lower output.In the mechanistic study, we found that the "decision-making effect" of non-executive directors on innovation input does not exist, however, the "supervision effect" on innovation output process is significant.What’s more, the results on mediating effects show that non-executive directors have significant mediating effects.In the further analysis, we also found that duality can restrain the controlling shareholder's "tunneling" behavior in the relative centralized enterprises.Compared with non-family enterprises, family enterprises with relative centralized ownership have lower output.

    Gu Lulu,Zhang Kaige. Does Centralized Ownership Structure Affect Innovation of Information Technology Enterprises[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 75-84., doi: 10.6049/kjjbydc.2020060101.

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  • Research on The Influence of Government Subsidy Intensity on the Substantial Innovation output of Resource-Based Enterprises
    Cheng Qiongwen,Ding Hongyi
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 85-94. https://doi.org/10.6049/kjjbydc.2019100621
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    How to effectively stimulate the innovation output of enterprises by government subsidies is an important issue at present.Based on the perspective of subsidy intensity heterogeneity, taking China's resource-based listed companies' empirical data from 2012 to 2018 as observation objects, using threshold regression models and dynamic panel data models to empirically test the substantial innovation of government subsidy strengths for resource-based enterprises The effect of output, the research results show that the threshold effect of government subsidies on the substantial innovation output of resource-based enterprises is significant, and there is an optimal range of subsidy intensity, but analysis based on the heterogeneity of corporate political relations shows that the optimal range of subsidies There are obvious differences between state-owned enterprises, private enterprises with political connections and private enterprises without political connections.Further research found that government subsidies are mainly to promote enterprises to increase the intensity of R & D investment by enhancing their willingness and ability to innovate, and thus increase Substantial innovation output, but at present the innovation results of resource-based enterprises have not generally achieved economic value transformation.

    Cheng Qiongwen,Ding Hongyi. Research on The Influence of Government Subsidy Intensity on the Substantial Innovation output of Resource-Based Enterprises[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 85-94., doi: 10.6049/kjjbydc.2019100621.

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  • The Impact of Entrepreneur's Personality on Enterprise Innovation: The Moderating Role of Regulation
    Zhang Xiu’e,Meng Qiao,Zhang Kun
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 95-102. https://doi.org/10.6049/kjjbydc.2019110264
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    Based on attribution theory and Schumpeter's innovation theory,we build an integrated model of the impact of entrepreneur's personality and regulation on enterprise innovation.Through questionnaire surveys and empirical test of 224 entrepreneurs or core members of the team,the results show that risk tolerance,entrepreneurial alertness,innovation and entrepreneurship education,previous experience have a significantly positive impact on enterprise innovation.However,regulation only positively moderates the relationship between the enterprise innovation and the innovation and entrepreneurship education,as well as the previous experience.That is,when the government provides better support,the knowledge and skills acquired by entrepreneurs through education and previous experience can promote enterprise innovation effectively.This study expands the research on the influence of entrepreneur's personality on enterprise innovation,and reveals the contingency role of regulation in this relationship.Meanwhile,it expands the research perspective of enterprise innovation,and has essential theoretical and practical significance in deepening the innovation of enterprises and promoting the construction of an innovative country in China.

    Zhang Xiu’e,Meng Qiao,Zhang Kun. The Impact of Entrepreneur's Personality on Enterprise Innovation: The Moderating Role of Regulation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 95-102., doi: 10.6049/kjjbydc.2019110264.

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  • Finance and Taxation Support, High-tech Identification and Family Firm Independent Innovation
    Wan Yuanxing,Xu Yongbin,Xu Wenhan
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 103-111. https://doi.org/10.6049/kjjbydc.Q201908074
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    Chinese family firms have the problems of lacking innovation incentives and research investment.Based on A-share listed family high-tech firms during 2008-2017, this paper analyzes the effect of high-tech identification on family firms' independent innovation by the perspective of finance and taxation support. The study shows that firm technological innovation efficiency is stimulated by high-tech identification policy, while the stimulation is strengthened by finance and taxation support. Furthermore, the policy effect of Finance and Taxation support is clustered in the first-trail of high-tech identification, and it’s more significant in the firms which have a higher financial constraint, lower political connections, lower intellectual property rights or is outside the high-tech development zone. provides suggestions for improving industry policies and finance and taxation support.This study provides suggestions for finance and taxation support.

    Wan Yuanxing,Xu Yongbin,Xu Wenhan. Finance and Taxation Support, High-tech Identification and Family Firm Independent Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 103-111., doi: 10.6049/kjjbydc.Q201908074.

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  • M&A Technical Disparity, Financing Constraints and Business Transformation of the New Generation of Information Technology Enterprise
    Wang Wei,Li Hongyang
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 112-120. https://doi.org/10.6049/kjjbydc.Q201908466
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    Taking the tech M&A of the new generation of information technology listed companies in Shanghai and Shenzhen A shares from 2013 to 2017 as the research sample, based on the empirical test of the relationship of technical disparity to degree of business transformation and to business transformation strategic, we further studied the regulating effect of the financing constraints on the above relationships. Research result shows that: the technical disparity of M&A parties has positive impact on the degree of business transformation of acquirer enterprise; the tendency of technical disparity to the business transformation decision of the acquirer is step-by-step business transformation strategy, delayed business transformation strategy and direct business transformation strategy from large to small; financing constraints negatively moderates the relationship between technical disparity and degree of business transformation, but financing constraints positively moderates the relationship between technical disparity and the tendency of business transformation decision. That is to say, under the low financing constraint level, the M&A acquirer's transformation decision-making tendency is from large to small: direct business transformation strategy, delayed business transformation strategy and step-by-step business transformation strategy.

    Wang Wei,Li Hongyang. M&A Technical Disparity, Financing Constraints and Business Transformation of the New Generation of Information Technology Enterprise[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 112-120., doi: 10.6049/kjjbydc.Q201908466.

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    • Legal System and Policy of Science and Technology
  • The Rule of Law and Logical Transformation of the Governance Mechanism of the Scientific Ethics
    Tian Yiyao,Li Xinran
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 121-127. https://doi.org/10.6049/kjjbydc.2020040351
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    The key to the ethical governance of emerging technologies lies in sound legal guarantees, the rule of law mainly includes civil law methods based on the function of market regulation in the private sector, criminal law methods based on criminal punishment, and administrative law methods based on administrative control. The administrative law model should become an effective means to regulate scientific research activities through scientific and technological ethics. However, the current administrative regulation model of science and technology ethics has the problems of over-reliance on administrative orders, limited scope of administrative legal subjects, inadequate prevention of scientific and technological risks, and lack of related systems of pluralistic co-governance. To this end, good governance should be the goal of ethical governance of science and technology. It explores and establishes a scientific and ethical governance mechanism for multiple co-governance.

    Tian Yiyao,Li Xinran. The Rule of Law and Logical Transformation of the Governance Mechanism of the Scientific Ethics[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 121-127., doi: 10.6049/kjjbydc.2020040351.

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  • Quantitative Analysis of the Hierarchical Characteristics of Photovoltaic Industry Innovation Policy Based on R language Theme Model
    Guo Pibin,Shi Tao,Wu Qinglong
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 128-136. https://doi.org/10.6049/kjjbydc.2020040652
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    Taking the photovoltaic solar energy industry as an example, using the R language theme model, this paper conducts theme mining and quantitative analysis on the photovoltaic industry innovation policies of the state, Shanxi Province and Datong City in 2007-2019, and studies the correlation characteristics between different levels of industrial innovation policies. The results show that: the national level policies are mainly focused on macro price control and financial subsidy system, and the guiding characteristics of the policies are obvious; the provincial level policies in Shanxi are focused on the micro and medium supporting policies, and the directive characteristics of the policies are obvious; the municipal level policies in Datong are mainly focused on the specific micro operation mechanism, and the control attributes of the policies are more obvious; the above policy characteristics and industrial innovation The overall requirements of the policy are consistent, but there are still some problems among the three levels of policy hot topics, such as the correlation is not strong enough, the interaction between policies is not enough, and the transmission and penetration characteristics of industrial innovation policies are ignored.

    Guo Pibin,Shi Tao,Wu Qinglong. Quantitative Analysis of the Hierarchical Characteristics of Photovoltaic Industry Innovation Policy Based on R language Theme Model[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 128-136., doi: 10.6049/kjjbydc.2020040652.

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    • Sci-tech Talent Cultivation
  • Does Team Achievement Goal Orientation Matter for Team Scientific Creativity
    Zhao Hui,Zhang Jianwei,Ren Yongcan,Zhang Zhen
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 137-144. https://doi.org/10.6049/kjjbydc.2019090799
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    Based on componential theory of creativity,we investigate the direct effect of team achievement goal orientation on team scientific creativity,the mediating role of team feedback-seeking behavior in the above relationship,and the moderating effect of team cohesion on the mediating effect.The empirical results from 129 science and technology innovation teams of science and engineering undergraduates from China are obtained.The results indicate that:team learning goal orientation has a significant positive relationship with team scientific creativity,and team performance goal orientation has a significant negative relationship with team scientific creativity; team feedback-seeking behavior is the mediating variable between team achievement goal orientation and team scientific creativity; team cohesion moderated the relationship between team feedback-seeking behavior and team scientific creativity,which in turn weakened the relationship between team achievement goal orientation and team scientific creativity via team feedback-seeking behavior.Our findings provide important theoretical and practical implications for improving the scientific creativity of science and technology innovation teams.

    Zhao Hui,Zhang Jianwei,Ren Yongcan,Zhang Zhen. Does Team Achievement Goal Orientation Matter for Team Scientific Creativity[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 137-144., doi: 10.6049/kjjbydc.2019090799.

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  • Is Status Threat in the Team Really “Threatening” Individual Creativity
    Ma Lu,Ji Jianwei
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 145-152. https://doi.org/10.6049/kjjbydc.Q201908363
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    Status plays a vital role in achieving individual values and team goals,thus studying the impact of status threats in teams is of great practical significance for stimulating individual creativity.Based on the conservation of resources theory, questionnaires were used to obtain 210 valid sample data of enterprises and institutions, explored the impact of status threat on individual creativity, the mediating role of creative self-efficacy and the moderating role of intrinsic motivation.The results show that status threat has a negative impact on individual creativity; creative self-efficacy can fully mediates the relationship between status threat and individual creativity; intrinsic motivation plays a moderating role between status threat and individual creativity.

    Ma Lu,Ji Jianwei. Is Status Threat in the Team Really “Threatening” Individual Creativity[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 145-152., doi: 10.6049/kjjbydc.Q201908363.

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    • Review
  • A Visual Analysis of Hot Pots and Trend of Innovation Platform：based on the Research Literature from Cssci Database
    Sheng Ya,Shi Yu
    SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2021, 38(2): 153-160. https://doi.org/10.6049/kjjbydc.2020020512
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    Based on the research literature from CSSCI database in 2000-2019, the keyword co-appearance and keywords bursts were visualized with CiteSpaceⅤ to analyze the hot spots and evolution of innovation platform for the past 20 years as well as the future potential hot spots of innovation platform. The results show that domestic innovation platform studies have undergone three stages,namely the germination stage, growth stage and overall development stage, the research on domestic innovation platform has strong epochal characteristics, and the evolution trend is closely related to government policies and current affairs.Focusing on the different types of innovation platforms and the construction reasons, domestic researche topics can be summarized into two categories. The first is the research on the construction, governance, operation and performance evaluation of "scientific and technological innovation platform", "industrial innovation platform" and "collaborative innovation platform"; the second is the antecedent analysis of the innovation platform based on the functional logic and the realistic logic. The paper suggests that future studies should not only focus on new trends such as "big data", "internet +" and "intelligent production", but also build an integrated research framework for innovation platforms, so as to explore the "cold start" mechanism, dynamic mechanism and coordination mechanism of innovation platforms, and provide guidance and reference for the development of innovation platforms.

    Sheng Ya,Shi Yu. A Visual Analysis of Hot Pots and Trend of Innovation Platform：based on the Research Literature from Cssci Database[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(2): 153-160., doi: 10.6049/kjjbydc.2020020512.

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