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Innovation network economic model of new energy automobile industry based on social network perspective

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Abstract

Under the background of economic globalization, market integration, technology cross penetration, industry boundary and enterprise boundary increasingly blurred, the uncertainty of innovation and the limitation of single innovation subject's resource endowment lead to the independent innovation unable to meet the needs of enterprises to obtain sustainable competitive advantage. How to evaluate the industry university research innovation of these industries has become a very necessary research content. According to the social network attribute of the Institute of new energy automobile industry, this paper proposes to analyze and study its innovation network from the perspective of social network. Based on the analysis of the relevant theories and research methods of social network, this paper constructs the evaluation model of the innovation network of the new energy automobile industry, and then validates the model through experiments. The experimental results show that the automobile industry in the north of China has different advantages in the innovation network of the industry, learning and research. The three embeddedness relationships among regions are positively correlated with the production university research network of new energy vehicles, which plays a positive role in promoting the development of innovation network. It is hoped that the research can provide innovation for the industry, learning and research. The development of network provides some reference.

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References

  1. Shi X, Jing R, Hou GM, et al. Network position advantage and technological innovation of China’s new energy vehicle based on the perspective of network theory. Sustainability. 2019;11(7):1–18.

    CAS  Google Scholar 

  2. Sun H, Geng Y, Hu L, et al. Measuring China’s new energy vehicle patents: a social network analysis approach. Energy. 2018;153(15):685–93.

    Article  Google Scholar 

  3. Linzhou G, Yunfei S. Technology innovation network in new energy vehicle industry of China and its optimization strategy based on perspective of complex network. Technol Econ. 2016;35(1):16–21.

    Google Scholar 

  4. Cai L, Peng X, Wang L. The characteristics and influencing factors of entrepreneurial behaviour: the case of new state-owned firms in the new energy automobile industry in an emerging economy. Technol Forecast Soc Change. 2018;135:112–20.

    Article  Google Scholar 

  5. Tung WF, Jordann G. Crowdsourcing social network service for social enterprise innovation. Inf Syst Front. 2017;19:1111–27.

    Google Scholar 

  6. Gospel Onyema Oparaocha. Towards building internal social network architecture that drives innovation: a social exchange theory perspective. J Knowl Manag. 2016;20(3):534–56.

    Article  Google Scholar 

  7. Cammarano A, Caputo M, Lamberti E, et al. R & D collaboration strategies for innovation: an empirical study through social network analysis. Int J Innov Technol Manag. 2016;14(01):521–43.

    Google Scholar 

  8. Choi E, Lee KC. Relationship between social network structure dynamics and innovation: micro-level analyses of virtual cross-functional teams in a multinational B2B firm. Comput Human Behav. 2016;65:151–62.

    Article  Google Scholar 

  9. Liu X, Zhao K. Research on sports transmission innovation with mobile social network as carrier. J Comput Theor Nanosci. 2016;13(12):10188–93.

    Article  CAS  Google Scholar 

  10. Zhiyong L, Dongquan L, Dengyu W, et al. A social network analysis on organizational innovation and its effects: a case study on the practice of Changzhou Municipal Bureau of Urban planning Xinbei Branch. China City Plan Rev. 2017;26(4):57–64.

    Google Scholar 

  11. Palacios-Marqués D, Devece-Carañana C, Llopis-Albert C. Examining the effects of online social networks and organizational learning capability on innovation performance in the hotel industry. Psychol Market. 2016;33(12):1126–33.

    Article  Google Scholar 

  12. Pizzurno E, Alberti FG. Knowledge exchanges of innovation networks: evidences from an Italian aerospace cluster. Compet Rev Int Bus J Inc J Glob Compet. 2015;25(1):258–87.

    Google Scholar 

  13. He L, Ding X, Zhang Z. Research on extracurricular training and contributing factors of innovative talents-based on the investigation of university-enterprise clubs. Adv Sci Lett. 2016;22(8):2057–61.

    Article  Google Scholar 

  14. Jia H. Application of the shareholding system to school-enterprises integration in higher vocational colleges. J Lianyungang Tech Coll. 2015;46(46):24–31.

    Google Scholar 

  15. Peng S, Ferreira FAF, Zheng H. A university-industry cooperation model for small and medium enterprises: the case of Chengdu KEDA Optoelectronic Technology Ltd. Int J Learn Change. 2017;9(1):29–45.

    Article  Google Scholar 

  16. Hui-ping WU. Knowledge innovation in Germany in the perspective of corporation between universities and enterprises in research and development. Comp Educ Rev. 2015;42(4):246–54.

    Google Scholar 

  17. Zhi-Min G, Zhong-Peng C, Jin T. An empirical study on government support and success factors in Industry-University-Institute Cooperation. J Northeastern Univ (Soc Sci). 2015;17(3):263–75.

    Google Scholar 

  18. Lili S. The role of government in university-enterprise collaborative innovation: based on the change of the innovation system of Japanese universities and enterprises. J High Educ Manag. 2015;9(3):22–9.

    Google Scholar 

  19. Gao YH, Gao L, Cheng P, et al. The cooperative mechanism of Industry-University-Research and the analysis of the interaction between factors. Adv Mater Res. 2014;926–930:4008–11.

    Article  Google Scholar 

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Acknowledgements

The National Social Science Fund of China, Research on the key factors of obtaining organization legitimacy of multinational enterprises along "One Belt And One Road” in China, 18BJY113. Soft science research project in Ningbo, Research on how to improve the innovation ability of private enterprises in Ningbo from the perspective of global innovation network, 2018A10051.

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Correspondence to Xiangxia Meng.

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Meng, X., Liu, M. & Wang, J. Innovation network economic model of new energy automobile industry based on social network perspective. J Therm Anal Calorim 144, 1671–1680 (2021). https://doi.org/10.1007/s10973-020-10369-8

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