Science & Technology Progress and Policy

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Meta-Analysis of Factors Effecting on Radical Innovation

Li Xiaomei,Wu Mengxin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 1-6. https://doi.org/10.6049/kjjbydc.2018090505

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Present, domestic scholars have carried out a lot of research on the factors of radical innovation, but due to the limitations and differences of their respective research, the universality of research conclusions is not sufficiently convincing. Using the Meta-analysis research method and based on 57 independent research samples published in Chinese core journals from 2005 to 2018, twenty-two factors that influence radical innovation from the perspectives of organization, strategy, resource & capability, environment and network are systematically summarized. And moderating factors such as measurement methods of radical innovation, industry types, which may lead to differences in research results are further explored.Based on the research results, some directions for future research are provided.

Li Xiaomei,Wu Mengxin. Meta-Analysis of Factors Effecting on Radical Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 1-6., doi: 10.6049/kjjbydc.2018090505.

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The Influencing Factors of Knowledge Transfer in Innovation Network: A Meta-Analysis

Ruan Pingnan,Luan Mengxue,Wei Yunfeng,Liu Xiaoyan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 7-14. https://doi.org/10.6049/kjjbydc.2018120452

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In order to sort out the influencing factors of inter-organizational knowledge transfer in innovation network and identify the key factors, this study constructed a model of influencing factors of inter-organizational knowledge transfer in innovation network based on the multi-dimensional factors such as knowledge characteristics, organizational characteristics, binary relationship characteristics and network structure characteristics, also synthesized 80 domestic and foreign related empirical studies using the meta-analysis technology. The results have shown that: First, the obstacles to knowledge transfer in innovation network organizations are: knowledge complexity, knowledge tacitness, organizational distance and knowledge distance, among which the organizational distance has the most significant hindrance. Second, the contributing factors are: willingness to transfer and accept, transfer ability, absorptive capacity, relationship strength, trust, communication, network scale, centrality and structural hole, among which structural holes have the greatest effect. Third, the influence of geographical distance has no significant influence on the inter-organizational knowledge transfer in innovation network. However, geographical concentration has a significant regulatory role in the relationship between the factors such as knowledge complexity, absorptive capacity, willingness to accept, knowledge distance, relationship strength, trust, network scale, centrality and knowledge transfer, among which the dual role of knowledge distance has been explained.

Ruan Pingnan,Luan Mengxue,Wei Yunfeng,Liu Xiaoyan. The Influencing Factors of Knowledge Transfer in Innovation Network: A Meta-Analysis[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 7-14., doi: 10.6049/kjjbydc.2018120452.

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An Analysis of the Mechanism of Mass Entrepreneurship and Innovation Policy Promoting Economic Growth

Qi Yong,Wang Jiawen,Zhou Xing

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 15-22. https://doi.org/10.6049/kjjbydc.2018100573

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Mass entrepreneurship and innovation is one of the two engines of the economic development, which is the source of the power of high-quality development of the economy, and the dual-innovation policy plays an important role in the development of the two-generation. At present, the implementation of the dual-innovation policy in our country is not high, the coverage of the policy is not wide, the protection of intellectual property is not enough, the investment and financing system of the enterprise needs to be perfected and the lack of funds and talents, and the cultivation and development of the new growth point of the economy are hindered. In this paper, the paper studies the influence of the two-innovation policy on the economic growth, puts forward the research hypothesis of the influence of the two-innovation policy on the economic growth, and constructs the mechanism model of the influence of the two-innovation policy on the economic growth, which is based on the structural formula .An empirical analysis is carried out. The study finds that the two-generation policy has a significant direct effect on economic growth, while the indirect effect of the two-created main body on economic growth is also significant, and the impact of the two-generation environment on economic growth is not significant. Finally, it is proposed to perfect the system of the two-generation policy and to promote the economic growth.

Qi Yong,Wang Jiawen,Zhou Xing. An Analysis of the Mechanism of Mass Entrepreneurship and Innovation Policy Promoting Economic Growth[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 15-22., doi: 10.6049/kjjbydc.2018100573.

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The Third Order Evolutionary Game Model Technology Transfer

Huang Lin,Li Xiangqian,Meng Binbin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 23-32. https://doi.org/10.6049/kjjbydc.2019020370

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With the China's military reform, some military staff with professional skills are engaged in civil companies, which makes the factor of knowledge spillover become effective and cannot be ignored as usual. In this case, we regard the knowledge spillover as an effect factor and build a third order evolutionary game model of civil-military technology transfer under China's military reform background. Then we find out all the equilibrium points of this model, which provide the theoretical support of all possible equilibrium with their conditions. By using the numerical examples, we conduct the simulation analysis and get the dynamic evolutionary three-dimensional phase diagram. The result indicates that a large amount of military staff engaged in civil companies in a short time will do extremely bad to both sides, while a moderate gradual speed is feasible and will benefit to the development of both military as well as the civil companies. Finally, by analyzing the effect of different parameters on evolutionary trend, we promote policy references to cope with the instability brought by military reform.

Huang Lin,Li Xiangqian,Meng Binbin. The Third Order Evolutionary Game Model Technology Transfer[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 23-32., doi: 10.6049/kjjbydc.2019020370.

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Spatial Distribution Types and Spatial and Temporal Pattern Evolution of Regional Smart Specialization in China

Wang Lin,Zhong Shuhua

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 33-42. https://doi.org/10.6049/kjjbydc.2019020252

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Having collected the data of industrial output value of various provinces in China from 2012 to 2016, the author constructs the evaluation system of regional leading industry competitiveness and analyzes the competitiveness of each region's leading industries and the geographical distribution pattern, identifying the leading industrial clusters of each region by location entropy. There are several findings. Firstly, the dominant industry competitiveness has spatial differentiation characteristics, and the regional differences in the research areas are increasing. The eastern region is the high value region that dominates the industrial competitiveness. Besides, the spatial distribution of leading industry competitiveness has obvious spatial positive correlation, and the competitiveness of neighboring regions in the regions with strong industrial competitiveness is relatively strong. In addition, the areas of the same type of spatial relationship are distributed contiguously. The H-H area extends from the southeast coastal area to the area along the Yangtze River, while the L-L area of the contiguous area in the western area does not change. Lastly, in China, smart specialization distribution is spatially unbalanced, mainly affected by these factors, such as the level of development of smart specialized industries, the promotion of smart specialized industries, the relevance of smart specialized industries, and the difference of the development environment of smart specialized industries.

Wang Lin,Zhong Shuhua. Spatial Distribution Types and Spatial and Temporal Pattern Evolution of Regional Smart Specialization in China[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 33-42., doi: 10.6049/kjjbydc.2019020252.

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Factor Framework, Ecological Characteristic and Operating Mechanism of Innovation Ecosphere in Regional Central City

Xu Jun,Ren Tengfei

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 43-50. https://doi.org/10.6049/kjjbydc.2018090252

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The innovation ecosphere of regional central city takes biology as metaphor, pays attention to play the active role of innovation subject, and enlarges the development advantages of regional central city. Firstly, on the basis of reviewing the theoretical origin of innovation ecosphere, the connotation of innovation ecosphere in regional central city is defined, and the elements are defined. Secondly, taking the enterprise agglomeration as the logical starting point, the ecological characteristics of innovation ecosphere are discussed. Thirdly, based on interdisciplinary knowledge, the evolution model of innovation ecosphere is constructed, and the operating mechanism is studied. The analysis shows that innovation ecosphere in regional central city has ecological characteristics, such as coordination, dynamic regulation, diversity, self-organization evolution, etc. The operating mechanism of innovation ecosphere in regional central city be composed of synergy mechanism, risk identification and control mechanism, benefit distribution mechanism and environment matching mechanism.

Xu Jun,Ren Tengfei. Factor Framework, Ecological Characteristic and Operating Mechanism of Innovation Ecosphere in Regional Central City[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 43-50., doi: 10.6049/kjjbydc.2018090252.

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Industrial Attributes, Regional Heterogeneity and National Value Chain Division in China

Guo Lijuan,Wu Zhenming

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 51-58. https://doi.org/10.6049/kjjbydc.2019040023

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Based on the inter-regional input-output table and the upstreamness model, this paper constructs the national value chain (NVC) division status, embedding position and value-added capability index to examine the NVC's spatial form between 1997 and 2007. And then a panel data model is applied to analyze the industrial and regional heterogeneity of national value chains. Research shows that China has not yet formed a strict "east-central-west" value chain gradient spatial pattern. Industrial attributes determine the embedding position and division status; the higher the proportion of the industry state-owned property, the more the value-adding is created. The industry K/L enhances the embedding position but worsens the value chain division status, the industry scale has no significant impact on the NVC division status. Regional FDI leads to the low-embedding position and weakens value-adding capability. Regional innovation investment increases direct value-adding and regional marketization level improves embedding position, but both of them have no enormous impact on value chain upgrading. Optimizing the market environment and institutional costs and designing differentiated regional industrial upgrading paths is the key to national value chains construction.

Guo Lijuan,Wu Zhenming. Industrial Attributes, Regional Heterogeneity and National Value Chain Division in China[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 51-58., doi: 10.6049/kjjbydc.2019040023.

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An Empirical Study on the Knowledge Blockade, Capacity Isolation and Strategic Capture Result in the Formation of Low-end Locking Effect

Hu Dali,Huang Yu

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 59-67. https://doi.org/10.6049/kjjbydc.2018100268

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Developing countries are embedded in the global value chain production system in the form of "OEM" and engaged in the manufacturing activities at the low-end of the value chain. When Chinese OEMs are upgrading their functions, the contractor will use all means to lock them at the low-end of the global value chain. This paper empirically studies the impact of knowledge blockade, capacity isolation and strategic capture on the formation of low-end locking effect and draws the following conclusions: knowledge blockade leads to lack of technology upgrading capability, which results in low-end locking effect; capacity isolation leads to lack of market upgrading capability, and low-end locking effect is formed further; strategic capture leads to lack of upgrading willingness, which forms low-end locking effect in turn. According to the empirical results, this paper puts forward the policy recommendations of Chinese OEMs to break through the low-end locking effect from the three levels of enterprise, cluster and government.

Hu Dali,Huang Yu. An Empirical Study on the Knowledge Blockade, Capacity Isolation and Strategic Capture Result in the Formation of Low-end Locking Effect[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 59-67., doi: 10.6049/kjjbydc.2018100268.

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Research on the Relationship between Government Subsidy, Internal Resources and Innovation Performance from the Perspective of Interaction Effect

Zhang Yong′an,Hu Pei

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 68-77. https://doi.org/10.6049/kjjbydc.2018110149

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Taking the listed companies of China's strategic emerging industries as the research object, an innovation system including government subsidies, internal resources and enterprise innovation performance is constructed. The PVAR model is established to analyze the dynamic interaction among the elements in the system by impulse response and variance decomposition. The results show that within the enterprise innovation system, innovation resources have the strongest effect on promoting enterprise innovation performance, government subsidies take the second place, and political resources are the weakest. Further exploration found that innovation performance can achieve positive feedback on internal resources, and this feedback effect is fast response. In addition, the impact of enterprise resources and innovation performance on government subsidies is very small, and the amount of government subsidies in this period is mainly affected by its own fluctuations.

Zhang Yong′an,Hu Pei. Research on the Relationship between Government Subsidy, Internal Resources and Innovation Performance from the Perspective of Interaction Effect[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 68-77., doi: 10.6049/kjjbydc.2018110149.

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From Management by Values to Institutional Leadership

Dai Jianghong,Ge Jing,Xi Youmin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 78-86. https://doi.org/10.6049/kjjbydc.2018100219

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Institutional leadership refers to the leadership in which leaders embed values and leadership power into the organizational system and structure through institutional work after interacting with the institutional context. Leaders tend to reduce the dependence of organizations on individual leadership, and hence realize the steady development of organization. The practice of TECSUN shows that companies usually construct institutional leadership via management by values and institutional management, then realize corporate values, implement institutions, constraint organization stakeholders′ behavior and lead their ideas. This has positive impact on stable and sustainable development of enterprises. TECSUN′s mode is a breakthrough of China business management. This article takes TECSUN′s case as example to explore the process in which leaders construct institutional leadership via management by values and institutional management, and then provides a new theoretical perspective for enterprises to construct institutional leadership.

Dai Jianghong,Ge Jing,Xi Youmin. From Management by Values to Institutional Leadership[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 78-86., doi: 10.6049/kjjbydc.2018100219.

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A Study on the Influence Mechanism of Entrepreneurial Innovative Drive on Entreprise Performance：A Moderated Mediating Effect Model of Entrepreneurial Bricolage and Entrepreneurial Learning

Ma Lan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 87-95. https://doi.org/10.6049/kjjbydc.2018100075

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Using 253 new entrepreneurial entreprises survey questionnaires to discuss the impact of innovation drive on the entreprise performance, and further to discuss the role path of entrepreneurial bricolage in innovation drive and the entreprise performance, as well as analysis the regulating effect for entrepreneurial learning in this process. Empirical data shows that innovation drive of new entrepreneurial entreprises has significant positive influence on enterprise performance. The innovation drive has a significant positive effect on the entrepreneurial bricolage. The entrepreneurial bricolage has a significant positive impact on enterprise performance; Entrepreneurial bricolage plays a part effluence between the relationship of innovation drive effect on enterprise performance; Entrepreneurial learning positively regulates the effect of innovation drive on entrepreneurial bricolage and entrepreneurial bricolage on enterprise performance.

Ma Lan. A Study on the Influence Mechanism of Entrepreneurial Innovative Drive on Entreprise Performance：A Moderated Mediating Effect Model of Entrepreneurial Bricolage and Entrepreneurial Learning[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 87-95., doi: 10.6049/kjjbydc.2018100075.

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Entrepreneurial Orientation and Internationalization Strategy of Family Firms: the Moderating Effect of Family Involvement

Zhou Lixin,Song Shuai

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 96-103. https://doi.org/10.6049/kjjbydc.2018100349

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The purpose of this paper is to explore the effect of entrepreneurial orientation on the internationalization of family firms, and to examine the moderating effect of family management and family generation in this relationship. The result reveals that entrepreneurial orientation positively impacts on the internationalization degree and speed of family firms. The result also shows that the positive effect of entrepreneurial orientation on the internationalization degree and speed is negatively moderated by family management and family generation. That is, entrepreneurial orientation will have a more intense effect on the internationalization degree and speed at lower levels of family management and family generation.

Zhou Lixin,Song Shuai. Entrepreneurial Orientation and Internationalization Strategy of Family Firms: the Moderating Effect of Family Involvement[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 96-103., doi: 10.6049/kjjbydc.2018100349.

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Research on the Driving Mechanism of Green Innovation Intention of Energy Enterprises Based on Grounded Theory

Lv Jun,Zhang Shiqiang,Wang Ying,Yang Mengjie

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 104-110. https://doi.org/10.6049/kjjbydc.2019010345

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Under the new era of advancing the needs of the development of green, making traditional energy enterprises achieve long-term competitiveness through green innovation and exploring the "black box" driven by the transformation of energy-oriented enterprises, is an urgent problem to be solved at present. Based on the qualitative research method of grounded theory, this paper constructs the driving model for the formation of green innovation intention of enterprises, extracts the five main categories driving the green innovation intention of energy enterprises, expounds the relationship between the core category and the main category, and the interaction between the main categories, in order to analyze the antecedents of the green innovation intention of enterprises and explore the driving mechanism of the green innovation intention of energy enterprises.

Lv Jun,Zhang Shiqiang,Wang Ying,Yang Mengjie. Research on the Driving Mechanism of Green Innovation Intention of Energy Enterprises Based on Grounded Theory[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 104-110., doi: 10.6049/kjjbydc.2019010345.

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An Empirical Study on the Impact of Chaxu Leadership and Transactive Memory System on Team Knowledge Transfer Performance

Sun Wei,Chi Jinjin,Xu Zixuan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 111-118. https://doi.org/10.6049/kjjbydc.2018100538

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Based on team cognitive theory and leadership theory of firms in China, the paper collects the data from R&D team and investigates the impact of Chaxu leadership on team knowledge transfer performance and the mediating effect of transactive memory system and the moderating effect of channels of knowledge transfer on the relationship between Chaxu leadership and transactive memory system by using multiple linear regression method. The results show as follows: Chaxu leadership has significant and negative influence on team knowledge transfer performance; transactive memory system has partial mediating effect on the influence of Chaxu leadership on team knowledge transfer performance; channels of knowledge transfer doesn’t moderate the relationship between Chaxu leadership and transactive memory; channels of knowledge transfer play the moderate role of the mediator effect.

Sun Wei,Chi Jinjin,Xu Zixuan. An Empirical Study on the Impact of Chaxu Leadership and Transactive Memory System on Team Knowledge Transfer Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 111-118., doi: 10.6049/kjjbydc.2018100538.

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Transfer Mode of Enterprise, Localized Embedding Behavior and Knowledge Transfer Performance

Zhou Yong,Wu Haizhen,Han Zhao'an

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 119-128. https://doi.org/10.6049/kjjbydc.2018110545

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As the joint transfer of industrial production system and knowledge system, industrial transfer is an important way to acquire new knowledge and realize knowledge creation. Based on the SCP (structure-conduct-performance) paradigm, from the perspective of network, the paper study embedding behavior and network embedding mode of transfer enterprise. The behavior of transfer enterprise is defined based on transfer mode and complexity of network environment, and the dynamic simulation model of knowledge transfer is constructed by multi-agent simulation methods. On this basis, the mechanism of knowledge transfer and the knowledge level of local cluster under different transfer modes and network environments are explored. The results show that: in different network environments and transfer modes, there are significant differences in the behavior of transfer enterprise and the knowledge level of local cluster. In the non-nuclear network, the diversity of network embedding of joint venture will significantly affect the knowledge level. In the nuclear network, the strength of "small communities" formed by group transfer enterprises has a significant negative impact on the knowledge transfer. Through the comparative analysis of knowledge transfer under different cluster network, it can be found that the nuclear network has obvious advantages in promoting the knowledge level compared with non-nuclear network. The research results not only help us understand the behavior of enterprises in the industry transfer from the micro level, but also have important significance for the choice of appropriate investment strategy and cluster development strategy, the promotion of knowledge transfer in the enterprise transfer, and the improvement of the innovation ability of the undertaking region.

Zhou Yong,Wu Haizhen,Han Zhao'an. Transfer Mode of Enterprise, Localized Embedding Behavior and Knowledge Transfer Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 119-128., doi: 10.6049/kjjbydc.2018110545.

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Diversification or Specificity?

Hao Panpan,Zhang Xindong,He Yanan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 129-138. https://doi.org/10.6049/kjjbydc.2019040817

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Diversification or specificity of executive career path, which can improve enterprise innovation? By manually collating the data of CEO career background, through static panel regression, dynamic DID analysis and tool variable 2SLS analysis, it is concluded that the diversified career path of CEO can improve the innovation investment. From the perspective of CEO external selection in the labor market level, we find that the failure tolerance mechanism is the influence channel; we divide industry leaders and followers according to the characteristics of the enterprise, and find information learning mechanism is the influence channel. Finally, by the whole process test from innovation input to output, the diversified career path of CEO will improve the quantity and quality of patent output which lags behind two years through innovation input.

Hao Panpan,Zhang Xindong,He Yanan. Diversification or Specificity?[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 129-138., doi: 10.6049/kjjbydc.2019040817.

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A Cross-level Model of Knowledge-based Team Conflict and Creativity Moderated by Leader Political Skills

Tu Yanhong,Yuan Ling,Wang Huanfang

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 139-146. https://doi.org/10.6049/kjjbydc.2018100208

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Drawing on leadership theory,this paper proposes that team leader political skills have moderating effects on the relationship between team conflict (relationship conflict and task conflict )and creativity at both individual and team level.Empirical data of 74 teams consisting of 455 members collected from a paired leader-members questionnaire indicated that,task conflict has an inverted U-shaped effect on and team creativity,team relationship conflict was negatively related to team and individual creativity; leader political skills weakened the negative effects of relationship conflict and strengthened the positive effects on individual creativity; leader political skills negatively moderated the inverted U-shaped relationship between task conflict and team creativity.

Tu Yanhong,Yuan Ling,Wang Huanfang. A Cross-level Model of Knowledge-based Team Conflict and Creativity Moderated by Leader Political Skills[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 139-146., doi: 10.6049/kjjbydc.2018100208.

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Study on the Mechanism of the Effect of Employees Recovery Experience on Job Performance

Shi Guanfeng,Liu Zhaohui

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 147-153. https://doi.org/10.6049/kjjbydc.2018100580

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Based on the Job Demands-resources theory, this paper discusses the mechanism of the employee's recovery experience affecting the work performance. Through a multi-level regression analysis of the survey data of 256 employees, the results show that: ①employees' experience of recovery positively affects job performance;②absorption plays the role of mediator between the relationship of recovery experience and job performance;③the meaning of work plays a negative role in the recovery experience and job performance, indicating that the recovery experience is especially important for employees with low sense of work meaning. Managers can consider implementing recovery experience practices to promote performance and employee sustainability.

Shi Guanfeng,Liu Zhaohui. Study on the Mechanism of the Effect of Employees Recovery Experience on Job Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 147-153., doi: 10.6049/kjjbydc.2018100580.

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The Effect of Crowdfunding Platforms on Entrepreneurial Financing:Review and Future Research Directions

Chen Jin,Hu Anan,Shen Minxu

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(18): 154-160. https://doi.org/10.6049/kjjbydc.2018070408

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The paper provides a thorough review on the effect of online crowdfunding platforms on entrepreneurial financing. Prior research was mostly conducted in single-platform contexts and has found inconclusive effects of with-in platform traits on financing success, whereas recent research highlights the potential to compare different platforms and extend to the effects of cross-platform traits. It first summarizes studies on within-platform traits that determine the success of financing and refunding, including project characteristics, entrepreneur characteristics, and investor-entrepreneur interactions. It also discusses on cross-platform traits from three levels, i.e., platform type, platform mechanism, and platform channel. It suggests future research directions that will both synthesize and expand our understanding of online crowdfunding platforms and entrepreneurship.

Chen Jin,Hu Anan,Shen Minxu. The Effect of Crowdfunding Platforms on Entrepreneurial Financing:Review and Future Research Directions[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(18): 154-160., doi: 10.6049/kjjbydc.2018070408.

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25 September 2019, Volume 36 Issue 18

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25 September 2019, Volume 36 Issue 18