The consciousness of science and technology ethics is an important basic quality for scientific and technical personnel. Through the questionnaire survey on dozens of universities, we found that there are some issues on the consciousness of science and technology ethics in current young scientific and technical personnel, such as the concept of ethical consciousness dislocation, uneven understanding, knowing and doing not uniform and so on. The main reasons for these problems are that the education of science and technology ethics is not deep enough, the discipline status is not high enough, the platform is not perfect, and the teaching methods are inadequate. Based on the survey results, we proposed some suggestions on strengthen the education of science and technology ethics and improving the consciousness of science and technology ethics of young scientific and technical personnel.
Indigenous firms in developing countries with large domestic markets like China have unique advantages: on the supply side, there are multiple knowledge and technology sources arising from the coexistence of multinational firms and state-owned firms with technologies at the medium-high level and many private firms with technologies at the low level; on the demand side, there are multiple market segments of large size from high-end to low-end. Given the significance of these two industry characteristics for catch-up, technology ladder and market ladder are proposed respectively to reflect the continuity in technology levels and price levels on the whole for firms in an industry. Using panel data analysis for a sample of Chinese manufacturing industries from 2001 to 2007, this study examines how industry structural characteristics (technology ladder and market ladder) and their interactions with technology effort (buy and make) affect productivity catch-up performance. The results indicate that market ladder and technology ladder can accelerate productivity catch-up, and these positive effects are strongest when technology effort intensity in an industry is at a medium level.
Using the latest China firm-level database from World Bank, we empirically test the mechanisms among the system environment, information density of product chain and the decision of the firm’s R&D alliance. Also, we explore the mediator effect of the information density of product chain from the firms’ reputation mechanism perspective. The results show that currently the system environment has a negative effect on the decision of R&D alliance. And the information density of the product chain can promote the possibility of R&D alliance decision. The further study indicates that the information density is good for the firms’ reputation mechanism, which can make the information density has a negative mediator effect on the system paradox.
Based on elastic theory in economics, The R&D output rate and the ratio of R&D input rate is defined as elastic coefficient. To analyze the sensitivity of R&D output, we select R&D input and output data of 31 provinces in china as sample. We also studied dynamic evolution of Elastic coefficient with data from 2009-2013.The result shows that the efficiency of converting the R&D input to the patent grant is high in most provinces of china. The number of college and scientific institution has a significant impact on the number of papers. The efficiency of converting the R&D expenditure to papers is poor. Compared with the date of 31 provinces in 2009, the R&D input increase steadily while the elasticity reduced. The intensity of R&D investment and the allocation of R&D resources are equally important for science and technology innovation.
Abstract: Patent pledge is a kind of financial product that can alleviate financial difficulties of small and medium enterprises . China’s patent pledge system involves such financial institution as five state-owned commercial banks，joint stock banks，urban commercial banks and financing guarantee companies. It is important for these financial institutions to build such a patent pledge enterprise system as a reference to those financial institutions to reduce risk of patent pledge.
Although technology commercialization is critical for firms’ survival and development, we know little about how to make successful technology commercialization in existing research. Drawing on dynamic capability theory, this paper discusses how the interaction effects of technological capability and strategic flexibility impact technology commercialization success under the transitional economy background. Especially, we focus on the role of corporate entrepreneurship which consists of innovation, venturing and strategic renewal, and build a mediated moderation model. The empirical results from a sample of 251 firms in China show that the interaction of technological capability and strategic flexibility contributes to the success of firms’ technology commercialization with corporate entrepreneurship as a mediator, supporting the proposed mediated moderation effect. In this way, the mechanisms of how firms can achieve successful technology commercialization in the context of emerging economies have been discovered. It not only extends theories in the fields of technology commercialization, dynamic capability etc., but also provides some practical guidance for firms concerning technology commercialization.
In order to explore the influence between regional soft environment factors and high-tech enterprise growth and differences in different regions，based on resource dependence theory，selected 30 China （city，district）provinces panel data from 2007 to 2013 used spatial lag model to test the relationship between five regional environment factors（technology environment，market environment，financial environment，government environment，legal environment）and high-tech enterprise growth. Results showed that: From national perspective，technology environment and government environment were major factors affected high-tech enterprise growth，financial environment and legal environment had limited impact on high-tech enterprise growth，market environment had a negative impact on high-tech enterprise growth. From region perspective，the influence between five regional soft environment factors and high-tech enterprise growth had a significant difference. Among them，technology environment had a positive impact on high-tech enterprise growth in the Eastern，Central，Western and Northeast region，financial environment in these four regions had no effect，market environment had a negative impact in the Central and Western region，government environment had a positive impact in the Central and Western region，legal environment had a negative impact in the Northeast region.
This paper selected 65 Chinese universities affiliated to the Ministry of Education and more than forty thousand industrial enterprises as research objects, using 2003-2007 industrial enterprises data, combined with the latitude and longitude coordinates, the sixth General Census data, cities and counties nationwide financial data and using ACF production function to measure the total factor productivity of industrial companies and constructing the relationship matrix between universities and enterprises, to explore the impact of knowledge spillovers in micro-enterprise productivity on a limited spatial extent. The results show that the knowledge spillover of universities near enterprises has a significant positive impact on total factor productivity of industrial companies, namely the long-term performance of industrial enterprises, but it has no significant effect on the markup of industrial enterprises, namely the short-term performance of industrial enterprises. At the same time, there is difference between different types of universities’ knowledge spillover on the long-term performance of industrial companies and the comprehensive universities have the most significant effect. Universities in western region have more significant effect compared with those in eastern and central region.
Entrepreneurship education(EE) can help to implement an entrepreneurial and innovative China, but the relation between EE and college students' entrepreneurship remains controversial. From a dynamic research perspective, this article studies the relation between EE and the phased performance of entrepreneurial opportunity exploitation and entrepreneurial growth based on the mediation of entrepreneurial orientation(EO). The results show that: (1) EE can positively influence the formation of entrepreneurs’ EO, which would finally help with their opportunity exploitation and enterprise growth; (2) EE regulates the relation between EO and the new venture performance. In particular, theoretical EE negatively regulates the relation between EO and the opportunity exploitation, and positively regulates the relation between EO and enterprise growth. While practical EE plays a positive role to promote the relation between EO and both the two-phase performance.
Business model innovation(BMI) is becoming the important carrier of start-ups growth strategy under internet era. Business model theory regards BMI as a market-oriented innovation which may gain first-mover advantage, and institutional legitimacy theory points out that high innovative start-ups may face legitimacy obstacles. How does BMI promote start-ups growth in the institutional context. Around this problem, by conducting an empirical study of 512 sample new ventures, we combine legitimacy perspective with business model theory, explore that how BMI influences new venture performance mechanism, and investigate the moderator of policy orientation and the mediator of legitimacy. The results show that: (1)BMI is positively related to legitimacy and new venture performance; (2)Organization legitimacy mediates partially the relationship between BMI and new venture performance; (3)policy orientation moderates the link between BMI and legitimacy; (4)the interaction of BMI and policy orientation makes an indirect effect on new venture performance through legitimacy’s mediation.
The existing researches on innovation search are mostly built on the un-weighted static network, and assume that the innovation search and knowledge transfer are two independent processes. In order to reproduce the overall behavior mechanism of innovative search, knowledge transfer and knowledge innovation more realistically, this paper adopts the method of simulation modeling based on the scale-free weighted dynamic network, to reveal the evolution of the dynamic growth of knowledge, explore the intrinsic relationship between innovative search, innovation network and innovation performance. The study found: No matter what kind of search strategy, the innovation network evolution is basically the same, and the final network evolution will reach equilibrium; there is an inverted U-shaped relationship between the network connection density and average network knowledge stock, and network tie strength and network average knowledge stock is positively correlated, while the innovation search strategy has a significant impact on the average knowledge stock and the level of knowledge innovation.
Non-R&D innovation is critical for SMEs to implement innovation activities. As such, clearing the typical models of non-R&D innovation in SMEs can help enrich innovation theory and guide innovative practice. Based on grounded theory, we built a structural model involving the typical models of non-R&D innovation in SMEs. This model covers two sub-models: RPI model directed technology and MOS model directed non-technology. In particular, RPI model includes three main categories: reverse innovation, technology purchase, and gradual improvement. MOS model also includes three main categories: market innovation, organizational innovation, and system innovation. Moreover, this study explored the influencing paths of main categories in RPI model and MOS model, respectively.
With the rapid development of digital technology and its deep embedding into products and service, digital technology and industry are merging and converging beyond the boundary of traditional innovation theoretical research. It is necessary to explore and analyze key characteristics and the development mechanism of digital innovation theory. In this paper, the connotation, basic types and key features of digital innovation theory were analyzed and the innovation research under management semantic was extended and expanded from perspectives of technology and society. The generative and modular rules of digital innovation,features of policy support, scale, heterogeneity and customer relevance of Chinese digital innovation were also comparatively and deeply analyzed in this paper.Findings indicated that the embeddedness of digital capabilityinto digital innovation process is changing how products and service provide value to users. Massive user base, heterogeneity and multiple stratification will be important opportunities for Chinese firms to promote digital innovation and establish dominant advantage in the future.
Throughout the incessant exploration and reflection on first-line production practice, the highly-skilled talents play a pioneering role in the existing technologies’ transforming and new products’ creating, which promotes technology innovation and achievement transformation. And human’s inner innovative quality is the dynamic source in implementing innovative activities. This paper uses the Root Analysis, which contains relevant literature review, technical literature collection and behavior event interview, to refine the initial content items of the highly-skilled talents’ innovative quality. Then design scale and carry out questionnaire survey based on the results. Based on the results of the collected analysis of questionnaire, implement the content items’ purification. Combined with the expert panel’s fully discussion, this paper draws the framework of the highly-skilled talents’ innovative quality, which contains three second-order dimension, seven first-order dimension and forty content items.
