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Research on Convergence Influence based on Multi-Converging Technology

Song Bowen,Luan Chunjuan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 1-8. https://doi.org/10.6049/kjjbydc.2018110488

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A remarkable feature of recent technological trend is the overlapping and merging of knowledge system, Converging Technology has a greater impact on innovation and development. The key to cope with this situation is to grasp the core area. As a major trend，Multi domain cross relationship can be used as a research perspective. By analyzing Derwent classification code in patent applications, Apriori algorithm is used for exploring the converging relationship, and then establishing a multiple cross influence relationship measurement model. Finally, the eigenvector is used to measure convergence influence. Taking patents from the biotechnology field as the research sample, verify the feasibility of the proposed method.

Song Bowen,Luan Chunjuan. Research on Convergence Influence based on Multi-Converging Technology[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 1-8., doi: 10.6049/kjjbydc.2018110488.

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The Identifying Effect of Venture Capital on Heterogeneous Innovation and its Influence Mechanism

Li Xiaowei,Nie Shujun,Wang Weiping

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 9-18. https://doi.org/10.6049/kjjbydc.2019020143

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Quality heterogeneity exists for innovation. Using the data from the GEM listed companies in the period of 2009 to 2016, the effect of venture capital on incremental innovation and radical innovation is examined. Tobit estimate shows that the treatment group sponsored by venture capital has more innovative outputs than the control group without venture capital, then PSM Model further indicates that the participation of venture capital has significantly additional incentive effect on radical innovation. More Tobit estimates demonstrate that the shareholding ratio of venture capital has a significantly negative linear relationship with the low-quality incremental innovation, however has a "inverted U-type" relationship with the relatively high-quality radical innovation. Considering the sample selection bias, Heckman two-stage model is examined to guarantee the robustness of the empirical results. The intermediary effect model shows that the mitigation of financing constraints completely acts as a mediation path. Our findings have implication for both policy makers and practitioners and provide evidence on the positive role of venture capital in affecting innovation effectively.

Li Xiaowei,Nie Shujun,Wang Weiping. The Identifying Effect of Venture Capital on Heterogeneous Innovation and its Influence Mechanism[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 9-18., doi: 10.6049/kjjbydc.2019020143.

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A Study on the Mechanism of the Effect of Learning from Entrepreneurial Failure on Entrepreneurial Knowledge and New Venture Performance

Hao Xiling,Zhu Zhaozhen,Liu Yiran

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 19-25. https://doi.org/10.6049/kjjbydc.2018110076

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Entrepreneurial failure presents a situation where there is a deviation from expectations or the original goals, which is more likely to activate refection and learning. However, it is still unclear that the micro mechanism and path of how entrepreneurs learn to acquire more entrepreneurial knowledge to improve their performance. Basing on the unique nature of the entrepreneurial failure, this paper looks deep into the micro mechanism of entrepreneurial learning from failure. 203 valid questionnaires were used to test the hypothesis. Results show that the ways of entrepreneurial learning is divided into single loop learning and double loop learning. Single loop learning helps to obtain knowledge on opportunity recognition, while double loop learning facilitates obtaining knowledge on opportunity recognition, as well as coping liability of newness. Double loop learning is a more effective way to the acquisition of entrepreneurial knowledge than single loop learning. Results show that Entrepreneurs can perform better in subsequent entrepreneurial activities through double loop learning.

Hao Xiling,Zhu Zhaozhen,Liu Yiran. A Study on the Mechanism of the Effect of Learning from Entrepreneurial Failure on Entrepreneurial Knowledge and New Venture Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 19-25., doi: 10.6049/kjjbydc.2018110076.

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Research on the Efficiency Measurement of the Effect of Science and Technology Project Funding on Output Performance of Paper

Wang Feifei,Jia Chenran,Liu Junwan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 26-33. https://doi.org/10.6049/kjjbydc.2019010071

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Based on the papers and scholars in the field of artificial intelligence explores the effect of the funding of science and technology projects on the output performance of paper. Specifically, the use of negative binomial regression analysis of different countries and sub-sectors of the type of funding, intensity, types of funding on the impact of citations and published journal level influence, found that the funding indicators can be positive on the quality of the paper,and there are differences in the effect of scholarship promotion in different regions and research directions.Using the tendency score method and linear regression models to measure the effectiveness of subsidized scholars' output performance improvement from the perspectives of the number of paper, cited and h index, find that funding can significantly improve the overall productivity and academic influence of scholars; and the number and the amount of the subsidized projects by Tobit regression measure have different effects on different different age group scholars,the results show that the increase of the number can improve the output performance of the scholars as a whole, and the increase of the amount can further expand the dynamic increase of output and influence. In view of this, relevant suggestions on funding improvement strategies and evaluation mechanism optimization are proposed.

Wang Feifei,Jia Chenran,Liu Junwan. Research on the Efficiency Measurement of the Effect of Science and Technology Project Funding on Output Performance of Paper[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 26-33., doi: 10.6049/kjjbydc.2019010071.

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Research on the Coordination Effect Evaluation and Dynamic Relationship of Technological Innovation and Green Governance

Liao Kaicheng,Dai Shengli,Duan Xin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 34-43. https://doi.org/10.6049/kjjbydc.2018120004

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Using the panel data of 30 provinces and cities nationwide from 2004 to 2016, the coupling coordination model and PVAR model were used to empirically test the coordination effect and dynamic relationship between science and technology innovation and green governance. The study found that: The coordination level of scientific and technological innovation and green governance in various provinces and cities nationwide was low in 2004-2016, and it showed a strong"regional ladder"characteristic of decreasing from east to west. The technological innovation of most provinces and cities lags behind The development of green governance, the level of coordination is below the level of dysfunction; There is a two-way causal relationship between technological innovation and green governance in the eastern region, and the impact of technological innovation on green governance is not significant, showing a negative trend in the long run. The impact effect, while the impact of green governance on technological innovation has a significant positive and sustained effect. There is a one-way causal relationship between scientific and technological innovation and green governance in Northeast China. The impact of technological innovation on green governance is not significant. The impact of green governance on technological innovation also shows a significant positive and sustained effect; central and western regions There is no causal relationship between scientific and technological innovation and green governance. The impact of green governance on technological innovation is similar, but the impact of technological innovation on green governance is quite different.

Liao Kaicheng,Dai Shengli,Duan Xin. Research on the Coordination Effect Evaluation and Dynamic Relationship of Technological Innovation and Green Governance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 34-43., doi: 10.6049/kjjbydc.2018120004.

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Research on Knowledge Innovation Cooperation Network in the Middle Reaches of the Yangtze River

Xie Weiwei,Deng Hongbing,Su Panda

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 44-50. https://doi.org/10.6049/kjjbydc.2018100428

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Using the high level thesis cooperation to construct the cooperation network of knowledge innovation from 2006 to 2017 in the middle reaches of the Yangtze River. We analyzed the evolutionary trends and the characteristics of complex networks, and also explored the proximity mechanism of innovation cooperation network. The results show that: in terms of the overall structure of the knowledge innovation network, the network scale and contact strength have become increasingly stable. What's more, a multi-center structure with Changsha, Wuhan and Nanchang as the core is basically formed. The nodes of network have obvious hierarchical levels. Through the analysis of the characteristic path length and agglomeration coefficient, it is found that the knowledge cooperation network in the middle reaches of the Yangtze River has small-world features, but the scale-free characteristics of the network are not obvious. The QAP (quadratic assignment procedure) regression results indicate that the geographical proximity, social proximity, technological proximity, and human capital proximity all have a significant impact on the knowledge cooperation networks.

Xie Weiwei,Deng Hongbing,Su Panda. Research on Knowledge Innovation Cooperation Network in the Middle Reaches of the Yangtze River[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 44-50., doi: 10.6049/kjjbydc.2018100428.

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Evaluation of Innovation Efficiency of High-tech Industry and Research on the Factor Input Difference

Zhang Yongan,Lu Mingming

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 51-57. https://doi.org/10.6049/kjjbydc.2018110276

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The development of high-tech industries and the improvement of competitive advantages depend on the improvement of technological innovation capabilities. This paper takes the subordinate industries of high-tech industry as the research object, uses DEA-Malmquist index method to analyze the dynamic efficiency change value of each industry in high-tech industry, and uses the entropy method to determine the weight of selected input indicators, then uses the gray correlation analysis method to deeply study the contribution of each input factor to output. The results show that: (1)China's high-tech industry has the lowest total factor productivity in 2014-2015, but the overall development trend of innovation efficiency is better; (2)technological progress efficiency is the main factor affecting the change of total factor productivity; (3)the contribution of the same indicators in different industries is quite different, mainly due to the difference between the input intensity of the indicators and the difference in technological innovation capabilities.

Zhang Yongan,Lu Mingming. Evaluation of Innovation Efficiency of High-tech Industry and Research on the Factor Input Difference[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 51-57., doi: 10.6049/kjjbydc.2018110276.

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The Dynamic Heterogeneity Threshold Effect of Implementation Path for Innovation-driven Development

Hou Jian,Chen Heng

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 58-66. https://doi.org/10.6049/kjjbydc.2018110529

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Aiming at how to choose the innovation path to more effectively achieve innovation-driven development, this paper first construct the driving path structure system of innovation-driven development, then in-depth discuss on the dynamic heterogeneous threshold characteristics of the path mechanism for the innovation-driven development of high-tech industry from the perspective of knowledge accumulation heterogeneity. The result shows that the impact mechanism has significant knowledge accumulation threshold effect. A moderate level of knowledge accumulation is more conducive to the innovation path to give full play to the positive effect, and the higher or lower level of knowledge accumulation will affect the driving effect of the innovation path to a certain extent, reflecting the "critical mass" of knowledge accumulation; With the increasing level of knowledge accumulation, the driving effect is different. It is necessary to consider the distribution of knowledge accumulation in different regions. Finally, regional knowledge accumulation has the characteristics of stage development, and at the present stage, it needs to be controlled and maintained in a reasonable range to guard against the negative effects of its threshold characteristic.

Hou Jian,Chen Heng. The Dynamic Heterogeneity Threshold Effect of Implementation Path for Innovation-driven Development[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 58-66., doi: 10.6049/kjjbydc.2018110529.

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Development Trend of Basic Research Competitiveness of Marine Strategic Emerging Industries

Zhang Yi,Meng Feirong

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 67-76. https://doi.org/10.6049/kjjbydc.2018110359

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This paper takes Marine biological medicine industry as the research sample, and adopts the research methods of Bibliometrics and basic research competitiveness indexes to investigate the overall development status of the basic research field of Marine biological medicine as well as the basic research competitiveness of the major countries. The research findings show that the basic research field of Marine biological medicine experienced three stages and has attracted extensive attention from many countries in the world, and the United States has become an important research center in this field. The basic research field of Marine strategic emerging industries is an interdisciplinary research field with broad extension, among which the universities and research institutions are the main forces, and their research findings are published in the important SCI journals（Quartiles 1 or 2）from the research fields of chemistry, medicine and biology. In addition, the growing trend of the active status of China in the Marine biological medicine research field is remarkable and the gap with the four benchmark countries (the United States, Japan, Spain and the United Kingdom) is narrowing. However, China's research publications are still suffering from a low impact, and the matching degree between publications and citations in China lags far behind that in the developed countries such as the United States, Japan, United Kingdom and Spain, indicating that China would take a long time to catch up with them. In summary, this study has some practical significances as it is conducive to deepening our understanding on the situation of basic research competitiveness of main countries and clarifying the gap between China and powerful maritime nations in this field.

Zhang Yi,Meng Feirong. Development Trend of Basic Research Competitiveness of Marine Strategic Emerging Industries[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 67-76., doi: 10.6049/kjjbydc.2018110359.

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The Mediating Effect of Technological Innovation on Ownership Structure and Enterprise Performance

Qin Dezhi,Shao Huimin,Sun Linchun

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 77-83. https://doi.org/10.6049/kjjbydc.2018100251

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Selecting the ownership structure, technological innovation and corporate performance of 277 GEM listed manufacturing companies in China from 2013 to 2017as the research object. Introducing technological innovation as the intermediary variable, respectively use the largest shareholder’s shareholding ratio, ownership concentration and shareholding balance to measure the ownership structure. The following conclusions are obtained through empirical research: ①There is a significant positive correlation between the shareholding ratio of the largest shareholder and technological innovation and enterprise performance; ② Significant positive correlation between ownership concentration and technological innovation and enterprise performance.③On the basis of moderate concentration of ownership structure, the degree of ownership balance has a significant positive correlation with technological innovation and firm performance;④Technological innovation partially mediates the influence of ownership structure on firm performance. The results clarifying the relationship among ownership structure, technological innovation, and corporate performance has important theoretical and practical implications for the improvement of independent innovation capabilities and sustainable growth of corporate performance.

Qin Dezhi,Shao Huimin,Sun Linchun. The Mediating Effect of Technological Innovation on Ownership Structure and Enterprise Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 77-83., doi: 10.6049/kjjbydc.2018100251.

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Research on the Influence of Environmental Regulation Intensity and Enterprise Scale on the Quality of Technological Innovation

Chen Yuke,Liu Lantian

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 84-90. https://doi.org/10.6049/kjjbydc.2018100351

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Using the provincial panel data of Chinese industrial enterprises from 2007 to 2016 to establish a threshold regression model, Based on the enterprise scale and environmental regulation intensity as the threshold, the impact of the environmental regulation intensity and the interaction between the enterprise scale and the environmental regulation intensity on the quality of technological innovation is studied. The empirical results show that when the enterprise scale is the threshold, there is a single threshold effect between the intensity of environmental regulation in the eastern, central and western regions on the quality of technological innovation. When the scale of the enterprise is lower than the threshold, the intensity of environmental regulation in the eastern region can effectively promote the development of technological innovation quality, and the promotion effect in the central and western regions is not significant. When the threshold value is crossed, the development of the quality of technological innovation can be effectively promoted, and the promotion effect in the eastern region is enhanced; When the intensity of environmental regulation is the threshold, there is a single threshold effect between the intensity of environmental regulation in the eastern, central and western regions on the quality of technological innovation. When the environmental regulation intensity is lower than the corresponding threshold, the promotion effect in the eastern region is significant, while the effect in the central and western regions is not significant. After reaching the threshold, the promotion effect is significant, but the degree of promotion in the eastern region is slightly weakened; The scale of the enterprise will indirectly affect the promotion of the intensity of environmental regulation to the quality of technological innovation.

Chen Yuke,Liu Lantian. Research on the Influence of Environmental Regulation Intensity and Enterprise Scale on the Quality of Technological Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 84-90., doi: 10.6049/kjjbydc.2018100351.

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Persistent Research on the Impact of M&A on Innovation Investment： the Type of Mergers and Acquisitions and the Characteristics of the Main Enterprise

Wang Xinhong,Zhang Zhuanjun

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 91-99. https://doi.org/10.6049/kjjbydc.2018090130

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Based on the data of China's A-share listed companies in 2013to 2017,starting from the two aspects of innovative capital investment and personnel investment,through comparative research and regression analysis,this paper discusses the relationship between M&A behavior and M&A types and innovation input,as well as the adjustment effect of M&A nature and industry nature on M&A innovation effects.Research shows:mergers and acquisitions contribute to the improvement of the level of innovation investment,and this positive effect is sustainable.Among them,horizontal mergers and acquisitions are significantly positively correlated with innovation investment,while vertical mergers and acquisitions and diversified mergers and acquisitions are not significant.Further research has found that the nature of the main business and the nature of the industry have a significant regulatory effect on the innovation effect of mergers and acquisitions.The specific performance is:The horizontal mergers and acquisitions of non-state-owned enterprises can significantly promote the innovation investment of enterprises,while the innovation effect of state-owned enterprises' mergers and acquisitions is not significant;The horizontal mergers and acquisitions of high-tech enterprises can significantly promote the innovation investment of enterprises,while the innovation effect of non-high-tech enterprises mergers and acquisitions is not significant.The research conclusions enrich the related research on the innovation effect of mergers and acquisitions,and provide a certain practical basis for domestic M&A behavior.

Wang Xinhong,Zhang Zhuanjun. Persistent Research on the Impact of M&A on Innovation Investment： the Type of Mergers and Acquisitions and the Characteristics of the Main Enterprise[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 91-99., doi: 10.6049/kjjbydc.2018090130.

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Research on the Relationship between Information Technology Input, Technological Innovation Dynamic Capabilities and Enterprise Performance

Li Xiaoyu,Chen Guoqing

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 100-107. https://doi.org/10.6049/kjjbydc.2018100348

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Based on the data of China's manufacturing listed companies from 2012 to 2017, this paper empirically examines the relationship between IT input, technological innovation dynamic capability and enterprise performance. The results show that: There is a significant U-shaped relationship between IT input and enterprise performance, and IT input needs to undergo a transformation period of organizational change to promote enterprise performance; IT input and technological innovation dynamic capability show a significant inverted U-shaped relationship, and IT input helps to promote enterprise performance. However, considering the limitation of enterprise resources, there is an optimal balance between IT input and dynamic capability of enterprise technology innovation; Dynamic capability of technology innovation plays a significant nonlinear intermediary role between IT input and enterprise performance.

Li Xiaoyu,Chen Guoqing. Research on the Relationship between Information Technology Input, Technological Innovation Dynamic Capabilities and Enterprise Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 100-107., doi: 10.6049/kjjbydc.2018100348.

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Research on the Business Model Innovation Path of Late Developing Enterprises Under Low-end Market Disruption

Wang Jinfeng,Wang Yongzheng,Feng Lijie,Liu Shuyan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 108-116. https://doi.org/10.6049/kjjbydc.2019010270

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Existing backwardness of Low-end market disruption under the business model innovation of latecomers by more elements and process perspective of reshaping its important role in enterprise value, Lack of in-depth thinking on business model innovation logic, it is urgent to study how latecomers in the low-end market subvert the industry status of incumbent enterprises by virtue of business model innovation. Therefore, this study combines the theory of disruptive innovation with the theory of business model innovation, based on the lower end of the market research background, using the exploratory single case study method, take Great Wall company as the case sample, this paper carries out an in-depth analysis on the business model innovation path of late-developing enterprises under the low-end market disruption. The results show that the business model innovation path of late-developing enterprises under the low-end market disruption is generally experienced four stages, including market segmentation, value network reconstruction, disruption of market structure and construction of competition barriers.

Wang Jinfeng,Wang Yongzheng,Feng Lijie,Liu Shuyan. Research on the Business Model Innovation Path of Late Developing Enterprises Under Low-end Market Disruption[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 108-116., doi: 10.6049/kjjbydc.2019010270.

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Research on the Evaluation of Knowledge Interaction Degree of Interdisciplinary Innovation Teams in Universities

Cheng Xue,Zhang Qingpu

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 117-124. https://doi.org/10.6049/kjjbydc.2019010430

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The evaluation of knowledge interaction degree is of great significance to improve the knowledge interaction of interdisciplinary innovation teams in universities. On the basis of defining the knowledge interaction and knowledge interaction degree of interdisciplinary innovation teams in universities, this paper innovatively establishes an evaluation index system of knowledge interaction degree from three aspects: knowledge interaction depth, interaction breadth and interaction time. Further, a combination of triangular fuzzy weights, entropy weights and fuzzy integrals are used to construct an evaluation model of knowledge interaction degree. Finally, a case study of interdisciplinary innovation team in university is selected to verify the operability of the proposed model, which provides a new perspective for the evaluation of knowledge interaction degree.

Cheng Xue,Zhang Qingpu. Research on the Evaluation of Knowledge Interaction Degree of Interdisciplinary Innovation Teams in Universities[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 117-124., doi: 10.6049/kjjbydc.2019010430.

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Research on Employee Responsible Innovation Behavior of New R&D Institutions under the Background of Innovation-driven

Guo Lifang,Cui Yuwen,Ma Jiaqi

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 125-132. https://doi.org/10.6049/kjjbydc.2019010612

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The proposal of responsible innovation provides an operable way for the implementation of China's innovation-driven strategy and a strong guarantee for scientific and technological progress and sustainable development. Under the innovation-driven background, the employee responsible innovation behavior of new R&D institutions is of great significance for promoting the transformation and upgrading of institutions and regional industrial transformation, which is conducive to the integrated development of industrial chain and innovation chain. In this background, this study will responsibility type innovation extends to all staff level, focusing on new R&D staff innovation behavior, on the basis of expanding the theory of planned behavior, combined with the practice of new type R&D staff responsibility innovation, by means of structural equation model empirical inquiry factors, which affect the desire and behavior of employee responsibility type innovation. The results show that the attitude, subjective norms and perceived behavior control of responsible innovation have significant positive effects on employees' willingness to innovate. Subjective norms of responsible innovation behaviors have a positive effect on employees' responsible innovation behaviors, while attitude and perceived behavior control of responsible innovation behaviors have no direct significant effect on employees' responsible innovation behaviors. Based on the above research conclusions, this paper puts forward constructive Suggestions and opinions from the three dimensions of the government, new research and development institutions and the society, in order to release the vitality of employee's responsibility innovation, enhance the enthusiasm of employee's willingness and behavior of responsibility innovation, and thus point out the direction for the responsibility innovation of new research and development institutions.

Guo Lifang,Cui Yuwen,Ma Jiaqi. Research on Employee Responsible Innovation Behavior of New R&D Institutions under the Background of Innovation-driven[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 125-132., doi: 10.6049/kjjbydc.2019010612.

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Perception of Green HRM Practices, Perceived Over-qualification and Green Behavior of Employees

Zhao Sufang,Wang Cai,Zhou Wenbin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 133-139. https://doi.org/10.6049/kjjbydc.2019040336

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Green HRM aims to achieve green sustainable development of enterprises through employees' green behavior. However, the practice of green HRM is affected by multiple factors in promoting employees' green behavior. As one of the factors affecting employees' behavior, employees' over qualifications are seldom studied in green HRM. Therefore, studying the relationship between the perception of green HRM practices and employees' green behavior from perceived over-qualification is necessary. It is found that there is a positive and significant relationship between the perception of green HRM and employees' green behavior, and the perceived over-qualification plays a U-shaped moderating role. It provides a reference for the organization to focus on employee qualification perception in the process of implementing active green HRM.

Zhao Sufang,Wang Cai,Zhou Wenbin. Perception of Green HRM Practices, Perceived Over-qualification and Green Behavior of Employees[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 133-139., doi: 10.6049/kjjbydc.2019040336.

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The Multilevel Influence of Team Reflexivity on Employee Creativity

Wang Zhining,Meng Lijun

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 140-146. https://doi.org/10.6049/kjjbydc.2018080006

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In a dynamic and complex environment, it needs to be clarified whether team reflexivity has a cross-level influence on employee creativity. Integrating socially embedded model of thriving at work and psychological ownership theory, this paper investigates the influence of team reflexivity, thriving at work and psychological ownership for job on employee creativity. We test the hypotheses through collecting the paired data from 61 team supervisors and 360 subordinates and using hierarchical linear model and related analytical methods. The results show that team reflexivity has significant positive influence on thriving at work and employee creativity; thriving at work plays a cross-level mediating role in the relationship between team reflexivity and employee creativity; psychological ownership for job positively moderates the impact of thriving at work on employee creativity.

Wang Zhining,Meng Lijun. The Multilevel Influence of Team Reflexivity on Employee Creativity[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 140-146., doi: 10.6049/kjjbydc.2018080006.

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Research on Flexible Human Resource Management Configuration with Multiple Fit Characteristics and Organizational Growth Performance

Liu Xiangyu,Li Xinjian,Cao Xia

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 147-154. https://doi.org/10.6049/kjjbydc.2019010157

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Based on configuration theory and dynamic capability theory, the study draws reference from 'structure (management configuration) -conduct (flexibility cultivation)-performance (organizational performance)' typical model, and builds the theoretical framework of 'flexible human resource management configuration-skill malleability-growth performance'. In addition, on the foundation of SEM analysis of 486 enterprise top and middle managers' questionnaires, the research results show that: ①based on multiple fit view, human resource management configuration can be extracted 3 typical flexible modes as internal flexibility oriented HRM, external flexibility oriented HRM, both internal and external flexibility oriented HRM；②differentiated flexible human resource management configuration (internal flexibility oriented HRM, external flexibility oriented HRM, both internal and external flexibility oriented HRM) has the positive effects on growth performance；③skill malleability plays the partial mediating effects between flexible human resource management configuration and growth performance. Furthermore, the mediating effects of skill malleability between internal flexibility oriented HRM, both internal and external flexibility oriented HRM, external flexibility oriented HRM and growth performance reduce in sequence.

Liu Xiangyu,Li Xinjian,Cao Xia. Research on Flexible Human Resource Management Configuration with Multiple Fit Characteristics and Organizational Growth Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 147-154., doi: 10.6049/kjjbydc.2019010157.

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Dynamic Research on Manufacturing Servitization Paradox

Ma Fenghua,Li Jiangfan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2019, 36(16): 155-160. https://doi.org/10.6049/kjjbydc.2018090038

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The paradox of service manufacturing is a hot topic in international emerging research.Servitization is an important way for manufacturing companies to gain competitive advantage and achieve transformation and upgrading.However,in the implementation process,many companies encounter servitization paradox and even servitization failures.This paper comprehensively reviews the concept,phenomenon recognition,influencing factors,and coping strategies of manufacturing service paradox,and looks forward to future research.

Ma Fenghua,Li Jiangfan. Dynamic Research on Manufacturing Servitization Paradox[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(16): 155-160., doi: 10.6049/kjjbydc.2018090038.

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25 August 2019, Volume 36 Issue 16

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25 August 2019, Volume 36 Issue 16