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Ties Strength and Technological Innovation: the Mediating Role of Interfirm Trust

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 1-7. https://doi.org/10.6049/kjjbydc.2017010006

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Consider effect of cooperation relationship characteristics on cooperative innovation performance, existing studies are limited in single perspective of social network. Little know about how dose networklevels relationship characteristics "ties strength" influences cooperative innovation mode through the bilaterallevels characteristics "relationship quality".Combined with social networks, social capital and knowledge transfer theory, it analyzes the relationship among ties strength, interfirm trust and different types of technology innovation mode. It collects a random sample of 327 manufacturing and high technology enterprises located in many provinces in China, uses SEM testing method to test hypotheses. The results indicates that: compared with the economic based trust, strong ties bring more positive effect on emotion based trust; the effect of emotion based trust on incremental innovation is significant positive, and economical based trust is much fit for radical innovation; the effect of the strong ties on incremental innovation mediated by emotional trust, and the effect of strong ties on the radical innovation is transferred through economical trust.

. Ties Strength and Technological Innovation: the Mediating Role of Interfirm Trust[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 1-7., doi: 10.6049/kjjbydc.2017010006.

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The Relationship between Entrepreneurial Strategy and New Venture Competitive Advantage in Transitional Contexts

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 8-14. https://doi.org/10.6049/kjjbydc.2017040360

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Innovation strategy is conducive to build a new value chain, and imitation strategy complements the existing value chain. However, most of existing researches focus on innovation strategy and the attention on imitation strategy is insufficient. Many new ventures achieve success by imitation strategy in practice. Especially, as the institutions are less developed, which are the root causes of dysfunctional competition. Dysfunctional competition may restrict innovation strategy and promote imitation strategy. However, both of which have a positive impact on new ventures in practice, so that choosing innovation strategy or imitating strategy is crucial for new ventures. In this paper, it examines the moderating effects of dysfunctional competition in two types of environmental turbulence, including high technological turbulence and low market turbulence versus low technological turbulence and high market turbulence. Using data collected from 153 new ventures in China, it finds that both innovation and imitation strategies have positive effects on new venture competitive advantage, however, the effect is different: as typical Chinese context, the moderating effect of dysfunctional competition on imitation strategy has no relation with technological and market characteristics, and the moderating effect on innovation strategy is based on technological and market characteristics.

. The Relationship between Entrepreneurial Strategy and New Venture Competitive Advantage in Transitional Contexts[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 8-14., doi: 10.6049/kjjbydc.2017040360.

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The Research on the Impact Mechanism of Big Data on Business Model Innovation

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 15-21. https://doi.org/10.6049/kjjbydc.2017050643

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Based on the threedimensional structure of business model, this paper constructs a business model innovation analysis framework based on big data, and studies the internal mechanism of how big data affect the innovation of business model. The conclusion of the study shows that big data discovery value, provides a new perspective and way to create value for the enterprise, big data has become an important point of enterprise business model innovation; impact of big data on business model innovation is reflected in the elements of business model, including value proposition, value creation and delivery mode, get the three a toplevel elements and sub elements; big data will penetrate into every aspect of business management, which provides an important means for the enterprise customer segmentation, product precision service innovation, process innovation, profit model innovation, value network reconstruction.

. The Research on the Impact Mechanism of Big Data on Business Model Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 15-21., doi: 10.6049/kjjbydc.2017050643.

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Innovation Network Research Evolution Vein Combing and Frontier Hotspot Analysis

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 22-28. https://doi.org/10.6049/kjjbydc.2017060644

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This paper based on the 19982015 CSSCI citation database about innovation network literature research, which using the CiteSpaceIII as research tools to analyze the research team, the evolution vein of innovation network and frontier hotspot.The paper find out three research path of innovation network, it discusses the current situation of innovation network from four aspects：research background, object, method and theme, which analyze frontier hotspot of innovation network in China, it will be a base for innovation network research in future.

. Innovation Network Research Evolution Vein Combing and Frontier Hotspot Analysis[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 22-28., doi: 10.6049/kjjbydc.2017060644.

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Study on Interdistrict Industrial Transfer and Connection Mechanism in China

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 29-34. https://doi.org/10.6049/kjjbydc.2017040381

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It is important to promote interdistrict industrial transfer and connection for regional industry structure adjustment and upgrade while regional coordinated development is paid great attention.This paper analyzes the inner mechanism of the interdistrict industrial transfer and connection in China,based on the existing research summary of interdistrict industrial transfer and connection connotation,dynamic mechanism and so on,and two dimensions of information asymmetry between strong and weak government under the competition game mechanism,from considering the transport cost of "pushpull" model and heterogeneous enterprise location selection effect of market mechanism.Finally,discusses the policy safeguard measures of promoting interdistrict industrial transfer and connection from three aspects,including overall planning,developing comparative advantage,reduce transaction cost.

. Study on Interdistrict Industrial Transfer and Connection Mechanism in China[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 29-34., doi: 10.6049/kjjbydc.2017040381.

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Study on Growth Differences of Total Factor Productivity and the Path of Highend Development of Strategic Emerging Industries in Yangtze River Delta

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 35-42. https://doi.org/10.6049/kjjbydc.2017060157

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By using DEAMalmquist index, this paper has studied the changes of total factor productivity and its decomposition item of listed companies of strategic emerging industries from the dimension of influencing factors, time series and growth pattern in Yangtze River Delta from 2007 to 2015.And this paper has performed a convergence test by using σ convergence equation and absolute β convergence equation between different types of enterprises. The research result shows that: The declining trend of total factor productivity of strategicemerging industries in Yangtze River Delta derived from the reduced technology efficiency level, the whole industry shows a lowend development trend that both pure technology efficiency and scale efficiency are low; According to the two dimensions of industry highend, The listed companies of strategic emerging industry in Yangtze River Delta are divided into three different types: Efficient growth companies, Extensive growth companies, Miserable growth companies. The differences of growth pattern between different types of enterprises are striking, so it is necessary to choose an appropriate highend development path; The total factor productivity and its decomposition item of listed companies of strategic emerging industries in Yangtze River Delta tend to converge significantly, the differences between enterprises will gradually narrow and eventually tend to the same steadystate level.

. Study on Growth Differences of Total Factor Productivity and the Path of Highend Development of Strategic Emerging Industries in Yangtze River Delta[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 35-42., doi: 10.6049/kjjbydc.2017060157.

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Regional Innovation Efficiency and Convergence of Hightech Industries Based on Innovative Environmental Constraints

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 43-51. https://doi.org/10.6049/kjjbydc.2017070475

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With panel data of hightech industries in China, by using stochastic frontier model under environmental constraints, this paper estimates the innovation regional research and application efficiency of hightech industries, and then based on β convergence, σ convergence and club convergence methods, respectively, from the two respects of research and application dimensions, to investigates the convergence of the hightech industrial innovation efficiency. Main findings: (1) in general, innovation environment makes obvious impact on innovation efficiency of hightech industries in China, and with innovation environment constraints, the overall basic research efficiency of hightech industry has increasing development trend, which of eastern and western regions are higher than that of northern and southern regions; Meanwhile the application efficiency are roughly divided into two stages: slow growth from 2000 to 2007 and slow decline from 2008 to 2014 year, which presents "eastern higher than western regions while southern regions are higher than northern ones".(2) the basis research efficiency has significant convergence while the application efficiency shows trend of spreading.

. Regional Innovation Efficiency and Convergence of Hightech Industries Based on Innovative Environmental Constraints[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 43-51., doi: 10.6049/kjjbydc.2017070475.

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Research on Coevolution of Strategic Emerging Industry Clusters based on Niche Adjust

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 52-59. https://doi.org/10.6049/kjjbydc.2017030860

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Coevolution is the effective mode and the inevitable path of strategic emerging industry cluster development. In order to improve the stability and coupling coordination degree of cluster coevolution, this paper fuses the theory of synergetic and ecology etc, attributing coevolution of strategic emerging industry cluster to two kinds of ecological relationships that are selforganized coevolution within the cluster, and otherorganized coevolution under the control of government. This paper also constructs the model of coupling coordination degree, and organization population coevolution based on improved LotkaVolterra model, which has been analyzed qualitatively and simulated numerically. The research shows that the factors of population influence and largest niche, etc, have a positive feedback effect on the niche expansion and the evolutionary equilibrium of organization population. By building clustered coevolution model of "selforganization plus otherorganization", taking cluster's selforganization as the core, with the help of otherorganization of the government, to adjust the populations niche, which is expected to improve the equilibrium of the cluster evolution and coordination degree of coupling, and promote coevolution of the strategic emerging industry cluster.

. Research on Coevolution of Strategic Emerging Industry Clusters based on Niche Adjust[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 52-59., doi: 10.6049/kjjbydc.2017030860.

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Research on the Innovation Transfer Obstacle in the Industral Cluster Innovation Network with Cluster Upgrading

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 60-66. https://doi.org/10.6049/kjjbydc.2017030896

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The key to the upgrading of industrial cluster lies in the improvement of the whole innovation ability of the cluster,the transfer of innovation ability in the industrial cluster innovation network can improve the innovation ability of the whole cluster.Understanding and overcoming the obstacles of innovation ability transfer can accelerate the transfer process of innovation ability,and it is very important for cluster upgrading to study the obstacles of innovation ability transfer in the innovation network of industrial clusters.This paper puts forword the concept of the obstacles of innovation ability transfer in the innovation network of industrial clusters,construct the conceptual model,and through empirical research,verifies that obstacles of innovation ability transfer in the innovation network of industrial clusters and cluster upgrading are negatively correlated.Then by the correlation analysis of weights,the paper gets five dimensions of obstacles hindering the degree of cluster upgrading, puts forward improvement countermeasures for the main obstacles.

. Research on the Innovation Transfer Obstacle in the Industral Cluster Innovation Network with Cluster Upgrading[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 60-66., doi: 10.6049/kjjbydc.2017030896.

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Analysis on the Threestage Innovation Efficiency Change of Hightech Industr

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 67-71. https://doi.org/10.6049/kjjbydc.2017040275

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In this paper, the internal undesirable output is incorporated into the inputoutput index system, and the SBM model and EBM model are used to measure the innovation efficiency in the technological development stage, transformation stage and marketization stage in hightech industry. Research shows that: ① The threestage static innovation efficiency change trend first rises slightly and then descends, the East first descends and then rises, the West and Northeast first rise slightly and then descend, but the Central continues to descend. ②The dynamic efficiency of the technology development stage is growing, while the technological transformation stage and marketization stage are declining. Eastern efficiency has remained ahead, Northeast and West second, Central last. ③The dynamic efficiency of the technology development stage is mainly driven by the efficiency change but in the technological transformation stage and marketization stage it is dominated by relatively strong technological change. The East is driven by technological change, and the Central and West are driven by the efficiency change. The Northeast is driven by the efficiency change in the technological development stage and marketization stage, while the technological transformation stage depends on technological change.

. Analysis on the Threestage Innovation Efficiency Change of Hightech Industr[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 67-71., doi: 10.6049/kjjbydc.2017040275.

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The Research of the Valueadded Path of ComakerSpace Cultivating the Small and Medium Enterprises in Incubating

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 72-79. https://doi.org/10.6049/kjjbydc.2017040478

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Whether the operation of co-maker space can effectively support the improvement of the enterprises' value is the key to foster the development of the small and medium enterprises， and also text effectiveness of co-maker space.The paper use structural equation model to study the system that co-maker enhance the value of enterprises,including technical value,environmental value,policy value and commercial value.Then according to the idea of raising the value of enterprises,we put forward the operation mechanism of organization and management,exchange and sharing,education and training,financing service and business service.The results indicate that business services raise the value,organizational management,education and training,financing services positive affect business services and then raise the value,exchange and sharing negative affect business services and the reduce the value.The paper explores the path of raise enterprises' value,and has certain reference value.

. The Research of the Valueadded Path of ComakerSpace Cultivating the Small and Medium Enterprises in Incubating[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 72-79., doi: 10.6049/kjjbydc.2017040478.

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Research on the Relationships among Business Ethics, Green Entrepreneurial Orientation and Competitive Advantage

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 80-86. https://doi.org/10.6049/kjjbydc.2017030060

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With the lack of business ethics and emergence of environmental pollution and other issues, people pay more and more attention to business ethics and green entrepreneurship. Empirical analysis is utilized to study the relationships among business ethics, green entrepreneurial orientation and competitive advantage of technology startups. The results show that business ethics has a positive impact on both the green entrepreneurial orientation and the competitive advantage of technology startups, and green entrepreneurial orientation has a positive impact on the competitive advantage of technology startups, as well as the green entrepreneurial orientation plays an intermediary role between business ethics and competitive advantage of technology startups. Based on the growth characteristics of technology startups, the internal relationships among business ethics, strategy and competitive advantage are described, and some suggestions are put forward contrapuntally.

. Research on the Relationships among Business Ethics, Green Entrepreneurial Orientation and Competitive Advantage[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 80-86., doi: 10.6049/kjjbydc.2017030060.

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Key Factors of Intellectual Capital for Startups’ Innovation Competitiveness

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 87-94. https://doi.org/10.6049/kjjbydc.2017040094

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In the time of innovation and entrepreneurship, the amount of new open firms in China rises up sharply, but the same happens to closed ones. How to gain competitiveness for startups through innovation is not only a premise of survival of them, but also critical to the vitality of the whole national economy. From the perspective of intellectual capital, this paper induces the factors of the innovation competitiveness of startups. Then based on questionnaire from 260 entrepreneurs and entrepreneurial team members, it finds that human capital is the most important factor of the innovation competitiveness for startups. The top factors of it are strategic leadership, innovation courage of entrepreneurs and cohesiveness of entrepreneurial team. According to the data, the key factors of the innovation competitiveness of startups are different among industries, firm ages and firm scales. The role of financial investors is more important for manufacturing industry than service industry. Besides human capital, incentive system and R&D output of structural capital, and the environment of competition of social capital are also very significant for older and larger startups, rather than younger and smaller ones.

. Key Factors of Intellectual Capital for Startups’ Innovation Competitiveness[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 87-94., doi: 10.6049/kjjbydc.2017040094.

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Strategic Experimentation, Entrepreneurial Learning and Business Model Innovation of New Ventures

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 95-100. https://doi.org/10.6049/kjjbydc.2017030420

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Strategic experimentation is a low-cost way to explore business model, which is based on the value creation model of the development and opportunities of entrepreneurial opportunities. According to the effectuation theory, the new ventures need to achieve business model innovation through strategic tests. This research aimed at the relationship between strategy experimentation and business model innovation. Conclusion show that Strategic experimentation is helpful to promote the enterprise business innovation and entrepreneurial learning is the critical path to promote the entrepreneurial opportunity identification, which plays an intermediary role between the strategy of experimentation and business model innovation. The conclusion reveals the strategic test mechanism for new enterprise business model innovation, for new enterprises to carry out the business model innovation, which has a certain reference.

. Strategic Experimentation, Entrepreneurial Learning and Business Model Innovation of New Ventures[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 95-100., doi: 10.6049/kjjbydc.2017030420.

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A Case Study on the Evolution of Traditional Manufacturing Enterprise Micro Innovation in the Era of Big Data：Dual Case Study of Jiangxi Lidu and Kweichow Moutai

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 101-110. https://doi.org/10.6049/kjjbydc.201708X007

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This study aims to explore the connotation and the process model of micro innovation evolution， electing the sample Kweichow Moutai and Jiangxi Lidu, adopting the method of SPS case study, based the purpose of study on the era of big data.Based on the review of literature, this paper explores the process of micro innovation.The study find: Firstly, The process of micro innovation is a dynamic evolution, and the enterprises in the industry after the initial development of enterprises and industries to follow the three basic stages of the initial, upgrading and stability.In different stages of evolution, the data management platform has realized the leap from the independent type to the relational type.The evolution path of the micro innovation of the latecomer enterprise usually presents the evolution characteristics of the external drive type.The leading enterprise innovation evolution path usually shows the evolution characteristics of push type.Secondly, in the process of micro innovation, the strength of the relationship between enterprise stakeholders is the key elements that decide the enterprise micro innovation evolution.In addition, the latecomer enterprise and the leading enterprise have different direction in the different stage.At the same time, the intensity of the relationship between the latecomer enterprise, the leading enterprise and their stakeholders is correlated with the formation of innovation portfolio.

. A Case Study on the Evolution of Traditional Manufacturing Enterprise Micro Innovation in the Era of Big Data：Dual Case Study of Jiangxi Lidu and Kweichow Moutai[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 101-110., doi: 10.6049/kjjbydc.201708X007.

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Construction of Patent Implied License System in China

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 111-115. https://doi.org/10.6049/kjjbydc.2017080614

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There is imperious demand for the patent implied license system to the judicial practice in our country. However, the existing system cannot solve all the problems faced in the practice. Therefore, it is imperative for our country to establish the patent implied license system. As far as the specific legislation, the basic provisions in the General Principles of Civil Law which related to the patent implied license should be first perfected. And only the typical patented implied license can be raised to legal requirements which have universal significance in the Patent Law. Meanwhile, it should be clear that there is no conflict between the establishment of patent implied license rules in Patent Law and the basic requirements of TRIPS agreement.

. Construction of Patent Implied License System in China[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 111-115., doi: 10.6049/kjjbydc.2017080614.

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The Impact of GVCGFs Local Investment on Enterprise Innovation

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 116-122. https://doi.org/10.6049/kjjbydc.2017040661

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China's government venture capital guiding funds (GVCGFs) mostly tend to invest in local enterprises.By collecting matching samples from the PEdata Database and using the negative binomial distribution model,the impact of GVCGFs local investment on enterprise innovation is investigated in this paper under the investment mode of equity participation.The main results are summed up as follows:The promoting effect of GVCGFs on local enterprise innovation is better than that of private venture capital (VC) funds,while the promoting effect of GVCGFs on non-local enterprise innovation shows no significant difference with private VC funds.；The promoting effect of GVCGFs on local high-tech enterprise innovation is better than that of private VC funds,while the promoting effect of GVCGFs on local non-high-tech enterprise innovation shows no significant difference with private VC funds；Whether GVCGFs invest in local enterprises of expansion stage or mature stage,the promoting effect of GVCGFs on innovation is better than that of private VC funds；The selection effect,rather than treatment effect,is the main channel through which GVCGFs promote the local enterprise innovation.

. The Impact of GVCGFs Local Investment on Enterprise Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 116-122., doi: 10.6049/kjjbydc.2017040661.

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Alliance Control Mechanisms and Knowledge Acquisition: the Role of Partner Selection

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 123-131. https://doi.org/10.6049/kjjbydc.2017030472

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Based on the survey of 209 manufacturing firms and 944 suppliers, employing the analytic technique of Hierarchical Linear Model analyzes the moderating effect of public selection and social selection on the relationship between the interaction of contract control and relation control and the suppliernetwork's knowledge acquisition. The empirical results show that both contract control and relation control can improve the suppliernetwork's knowledge acquisition, and the relationship between those two kinds of control mechanisms is substitute. The public selection of partner selection strengthens this substitute effect, and the social selection of partner selection weakens this substitute effect.

. Alliance Control Mechanisms and Knowledge Acquisition: the Role of Partner Selection[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 123-131., doi: 10.6049/kjjbydc.2017030472.

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the Impact of High speed Rail Construction on the Development of Knowledge intensive Service Industry：An Empirical Study

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 132-139. https://doi.org/10.6049/kjjbydc.2017050572

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The spillovers of knowledge and innovation exist space barrier, and high speed rail further breaks the gap of regional space, reduces the distance of time and space, and promotes the development of knowledge intensive industry which is characterized by knowledge and innovation. Construct the provincial panel data of 2006 to 2015 and use fixed effect to study the impact of high speed rail construction on the development of the knowledge intensive service industry from the regional level and the industry level in China. Find that the high speed rail construction has a positive impact on the increase of the number of practitioners of the knowledge intensive service industry in China and plays a promoting role in the fixed assets investment of knowledge intensive service industry in Midwest. Fully illustrated, the high speed rail construction can improve the regional investment environment, break the regional barriers, promote knowledge spillovers, accelerate the flow of factors, and has great significance to the development of knowledge intensive service industry and industrial upgrading in the central and western regions. That further confirmed the correctness and the necessity of the construction of high speed rail in Midwest.

. the Impact of High speed Rail Construction on the Development of Knowledge intensive Service Industry：An Empirical Study[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 132-139., doi: 10.6049/kjjbydc.2017050572.

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Empowering Leadership and Employee Voice: the Mediating Role of Psychological Ownership

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 140-145. https://doi.org/10.6049/kjjbydc.2017030824

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On the foundations of psychological ownership theory, the present study explores how empowering leadership influences employee's voice behaviors. The questionnairebased study is grounded upon 221 leaderemployee matched samples from technical corporations. The results show that empowering leadership is positively related to employee's voice behavior; both the psychological ownership of organization and job mediated the relationship between empowering leadership and voice behavior, but has differences: psychological ownership of organization plays an mediating role in the influences of empowering leadership on selfjobconcerned voice and selfjobunconcerned voice, while psychological ownership of job only mediates the relationship between empowering leadership and selfjobconcerned voice behavior.

. Empowering Leadership and Employee Voice: the Mediating Role of Psychological Ownership[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 140-145., doi: 10.6049/kjjbydc.2017030824.

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Study on Factors of Individual Innovation Contribution Degree Based on User Feedback in Open Innovation Communities

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 146-152. https://doi.org/10.6049/kjjbydc.2017040624

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User feedback in interaction is an important part in terms of user innovation.Based on need satisfaction theory, the impact of feedback from other users on individual innovation contribution degree in open innovation community are studied.The quantity and quality of the feedback are studied to verify how this two aspects affect individual innovation contribution degree by using data mining in typical open innovation community——Local Motors.The results showed that: the quantity and quality of feedback have significant effect on individual innovation contribution degree, the number of feedback has a significant positive effect on individual innovation contribution degree.Feedback rate and user diversity have a significant negative impact on individual innovation contribution degree, Feedback length and feedback support documents have no effect on individual innovation contribution degree, at the same time, the study finds that positive emotion has no regulatory effect between user feedback and individual innovation contribution degree.

. Study on Factors of Individual Innovation Contribution Degree Based on User Feedback in Open Innovation Communities[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 146-152., doi: 10.6049/kjjbydc.2017040624.

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A Review on Entrepreneurial Failure Recovery for Future Research

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2018, 35(3): 153-160. https://doi.org/10.6049/kjjbydc.2017060183

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Entrepreneurial failure is common,failure recovery plays a key role in the repair of the negative impact of entrepreneurial failure and restart the entrepreneurial process.Entrepreneurial failure recovery is a new topic in the field of entrepreneurial failure research,which has been paid more and more attention by scholars,but the overall research is still in its infancy.This paper systematically sorts out and reviews the relevant literatures on entrepreneurial failure recovery from the concept,influencing factors,processes and methods of failure recovery.Finally,it points out the directions in future research in view of the shortcomings of current research.

. A Review on Entrepreneurial Failure Recovery for Future Research[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2018, 35(3): 153-160., doi: 10.6049/kjjbydc.2017060183.

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10 February 2018, Volume 35 Issue 3

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10 February 2018, Volume 35 Issue 3