Based on the current situation of co-word network analysis which could be applied to public policy, collected innovation policies from National Innovation Demonstration Zone(NIDZ) as the research objection, the author discusses the influences and the functions of policies attributes and key words weights in the co-word analysis. Then, the author uses grounded theory, word frequency and policy measurement, to model the weighted co-word analysis based on the weightes of policies and key words. After building up the model of weighted co-word analysis, the author calculates the distances between keywords by weighted Ochiia Inex. Through node analysis and group analysis to validate the weighted co-word model, and to demonstrate the current situation and deficiencies from comprehensive viewing angle, to find technological finance, industry development and talent training still have room to improvement, and to support policy-making in the future.
Aiming at the issues existed in current identification method of industrial critical technology in value chain upgrading of manufacturing enterprise, such as mainly depends on qualitative analysis, evaluation criteria is uncertain and lack of initial technology analysis method, a systematic identification approach of industrial critical technology which was integrated industrial technology roadmapping, IDEF0 and entropy weight method was proposed. Through defining the industrial critical technology based value chain upgrading theory, the evaluation criteria was proposed from operational level; consider the properties of industrial value chain and associated features of industrial technology chain, a novel two chain identification method for generating initial list of critical technology was proposed which integrated the practice of industrial technology roadmapping and IDEF0; to solve the problem of complexity and subjectivity in the assessment process of critical technology, a weight calculation approach of evaluation criteria based on triangular fuzzy numbers and entropy weight method was proposed too; the final list of industrial critical technology was determined through the construction of industry critical technology matrix analysis model. The approach was validated by case studies on identifying critical technologies in Guangdong LED industrial technology roadmapping.
The “Demand-Side Innovation Policy” attracted remarkable attention from China’s policy and academic communities, as soon as it was launched by OECD. By getting the demand-side innovation policy (DSIP) as well as its typical policy instrument, public procurement for innovation (PPI) carefully reviewed, it is found that, it is the diverse understandings to, as well as the different capabilities in handling and reacting the demand, determine the heterogeneous cognitions and practices to this specific policy. The MVQAP method basing on the network data is employed to examine the tension between the cognitions and practices, and furthermore their “rationalities” among “developed” countries, giving the constrain of limited samples. On top of the quantitative part, advocacy works from one of the most essential policy entrepreneurs Dr. Jakob Edler were also modestly investigated. The “catholicon” metaphor to the DSIP promoted by the European Union countries rely heavily on their enormous legitimacy demand in exploring alternative ways beyond the U.S technology driven linear innovation model. China’s priority to learn as a result, it to leave the market itself to define the real demand, and to regain the confidence in discovering and resolving the real problems in stimulating and diffusing innovation, where there must be more than one version of the DSIP.
In this paper, a stochastic frontier model is built based on the panel data of Chinese high-tech industry from 2003 to 2014 to study the impact of financial subsidies and tax incentives on the R&D efficiency. And the paper analysis the factors affecting the effect of financial subsidies and tax incentives. The results show that financial subsidies and tax incentives significantly enhance the high-tech industry R & D efficiency. The effect of government subsidies and tax incentives are significantly influenced by R & D investment, enterprise scale and region factors.
Bases on the theory of business ecosystem and technology catching-up, this paper conducts the case study of China’s wireless telecommunications industry. By adopting the methodology of multi-case study and social network analysis, this paper proposes the theoretical framework of “the evolution and innovation of business ecosystem for emerging countries’ new generation information technology industry in globalization context”. We find the co-evolution of technology system, institutional setting, and business ecosystem’s configuration and capability play an important role in supporting the model shift. Through analyzing the changing mechnisms of China’s mobile telecommunications industry’s development model, this paper proposes a parallel development paradigm which extends the theory of technology catch-up. We also provide a new perspective for analyzing the mechanisms and dynamics of industrial evolution.
"Internet plus" entrepreneurship is the current prevailing phenomenon in China. The rapid growth of business connect to Internet has even changed the traditional concept of "difficult start". From the perspective of resource-based view (RBV), this article analysis the impacts of internet on the venturing enterprise by means of case study. Four "Internet plus" venturing enterprises are selected and analyzed the impact of resource constraints on them from the perspective of entrepreneurs. The analysis shows that scale-free resources offered by internet platform has brought huge differences in entrepreneurship’s demands for various resources. Two kinds of mechanisms, Substitution effects of scale-free resources from internet platform for venture enterprise’s resource and internet economy principle, greatly reduces the difficulty of entrepreneurship. The findings of this study explores and constructs the enterprise resource theory in the new environment.
Based on network embedded perspective, this paper explored the mechanism of building entrepreneurial ability through academic and industrial network embeddedness, and accessing to growth performance. Then, this research empirically examined the relationships by using structure equation modeling. The results indicated that, Dual entrepreneurial ability that including “innovation explorative ability” and “resource exploitative ability” has become key internal factor for enterprises to utilize network resources effectively. Further research found that the innovation explorative ability has been increased more significantly by structural embeddedness and relational embeddedness, and it also provided more positive effects for growth performance. Moreover, particular creation property of University spin-off companies (USO) and Company Spin-off companies (CSO) has led to obvious different entrepreneurial ability construction mode.
Knowledge evolution is the dynamic process to evaluate and create their own knowledge stock in order to meet the needs of organization knowledge application and the needs of innovation. This research takes high-tech enterprises as an example, put forward a basic analytical framework to study on the influence of knowledge mobilization to the knowledge evolution, design the knowledge mobilization as the independent variable, the knowledge evolution as a dependent variable, the knowledge base as a mediating variable and the knowledge hiding as a moderation variable. The results indicate that the knowledge mobilization has a positive impact on the knowledge evolution, the knowledge hiding plays a negative mediating role in knowledge mobilization and knowledge evolution, the knowledge base plays a moderation role between knowledge mobilization and knowledge evolution, that is strong knowledge based enterprises are easier to obtain the effect of knowledge mobilization, defuse the negative effects of knowledge hiding to the evolution of knowledge than weak knowledge based enterprises.
IT outsourcing is a knowledge-intensive process, and knowledge transfer is key influencing factor of IT outsourcing performance. From outsourcee perspective, this paper constructs theoretical model in which trust, satisfaction and promising are explanatory variables, and accepting willingness and absorptive capacity of outsourcee are mediated variable. We investigate 237 various employees from some bigger size and representative firms and get 217 valid questionnaires. This paper uses structural equation model to study the basic relationships in theoretical model. The empirical results show that in the three dimensions of relationship quality, trust and satisfaction have a positive impact on knowledge accepting willingness and absorptive capacity, promising has a positive influence on knowledge accepting willingness of outsourcee, but it hasn’t been confirmed that promising has a positive effect on absorptive absorption of outsourcee. This paper also confirms that accepting willingness and absorptive capacity of outsourcee have positive effect on knowledge transfer. Knowledge tacitness has a negative impact on knowledge transfer. Trust and satisfaction moderate the effect of knowledge tacitness on knowledge transfer.
The impact of venture capital on technology innovation is an important topic both in theory and practice. This paper analyzes the influence of venture capital to the technology innovation of the invested enterprise from the perspective of specialized investment strategy. It is based on enterprises as samples which are listed on Shenzhen Growth Enterprises Market. It finds that venture capital can promote the technology innovation of the invested enterprise effectively. The specialized ability of industry is stronger, and the level of enterprises’ technological innovation is higher. Further inspection finds that the industry specialization of venture capital investment makes more influence on high-tech enterprises’ technology innovation. Stage specialization and regional specialization strategy can strengthen the effect of industry specialization to the technology innovation of the invested enterprise. Industry specialization increases the possibility of early-stage and investment proximity; different specializations partly strengthen each other. The paper finds out the mechanism of promoting technical innovation from the perspective of specialization.
Innovation district was first defined by Bruce J. Katz at the Brookings Institution，within which research area is still in the ascendant. By using anchoring plus innovation districts as the research objects, and based on the data sources of the ACS 2010-2014 and US census 2000, this paper investigates the interaction relationships among Entrepreneur/talEnt-innovation District-University by constructing the EDiU model, which is the extension of the triple helix model from spatial projection and reconstruction; also choose single case study of Kendall Square and compared case study for the seven anchoring plus innovation districts. The results illustrate net inflow of talents is the core driver of innovation district development within which young talents especially university graduates play the vital role in such development. Moreover, diversification of real estate helps to meet the needs of different groups of people in the innovation districts and the industrial diversification contributes to the construction of regional innovation eco-system. These findings can be interpreted as highly attentions should be paid to the process of innovation agglomeration mode by focusing on two aspects, which are the effective implementation of the young talents management and innovation management on grid or district, and the boom the other asset markets via the boom of the human capital market.
The path and focus of the development of Beijing science and technology innovation center have become crack problems to academic circles and politicians. Research on the the development of Beijing science and technology innovation center from the perspective of industrial knowledge bases, Put forward the frame of the two kinds of industrial knowledge bases——synthetic knowledge bases and analytical knowledge bases, impact the the development of Beijing science and technology innovation center. And the entropy method is used to calculate the stock values of the two kinds industry knowledge bases of the provinces (municipalities and autonomous regions)in our country in 2013 and the stock values in the Beijing area from 2000-2013. The two categories of industrial knowledge bases of 2013 in Beijing are made horizontal contrast and vertical contrast. Results display that: contrast to most provinces (municipalities and autonomous regions) in our country, the analytical industrial knowledge base in Beijing is stronger,while the comprehensive knowledge bases is weaker in Beijing. And the two kinds of industrial knowledge bases can‘t meet the needs of the construction of scientific and technological innovation center, in recent years, the growth rate of comprehensive knowledge bases in Beijing is higher than that of analytical knowledge bases. This study provides a basis for the construction of Beijing scientific and technological innovation center.
