Abstract

This study aims to investigate the mechanism of food technology transfer of universities based on the patent licensing network. University is an important part in building an innovation-oriented country in China. University food technology transfer also plays an important role to promote economic and social development. In this study, the university food technology patent licensing network in Fujian province was taken as an example to analyze its network characteristics, inspect features of university food technology transfer and do an in-depth investigation between the universities and their inventors. Then the existing problems were analyzed to make relevant recommendations to improve the ability of university food technology transfer. The empirical analysis results show that (1) it needs to complete the university intellectual property management system, (2) to change the functions of university management office, (3) to change the teacher evaluation system, (4) to complete the technology transfer agency market and (5) to increase the government supports.

Keywords:

Food technology transfer, knowledge creativity, patent licensing network,

References

1. Barnes, A., 1954. Class and committees in a Norwegian Island Parish. Hum. Relat., 7: 39-58.
   CrossRef    
2. Bavelas, A., 1950. Communication patterns in task-oriented groups. J. Acoust. Soc. Am., 22: 725-730.
   CrossRef    
3. Brechi, S. and F. Lissoni, 2005. Cross-firm inventors and social networks: localised knowledge spillovers revisited. Annals d' Economie et de Statistique, 80: 1-29.
   CrossRef    
4. Droege, S., B. Hoobler and M. Jenny, 2003. Employee turnover and tacit knowledge diffusion: A network perspective. J. Manage. Issues, 15(1): 50-64.
   
5. Fleming, L., C. King and A. Juda, 2007. Small worlds and regional innovation. Organ. Sci., 18: 938-954.
   CrossRef    
6. Freeman, C., 1979. Centrality in social networks conceptual clarification. Soc. Networks, 1(3): 215-239.
   CrossRef    
7. Friedman, J. and J. Silberman, 2001. University technology transfer: Do incentives, management and location matter. J. Technol. Transfer, 328: 17-30.
   
8. Hong, W. and Y. Su, 2012. The effect of institutional proximity in non-local university-industry collaborations: An analysis based on Chinese patent data. Res. Policy, 42(2): 454-464.
   
9. Hoppe, C. and O. Emre, 2001. Intermediation in Innovation: The Role of Technology Transfer Offices. Universitat Hamburg, Mimeo.
   
10. Jaffe, B. and M. Trajtenberg, 1999. International knowledge flows: evidence from patent citations. Econ. Innov. New Technol., 8(1): 105-136.
    CrossRef    
11. Lowe, R., 2006. Who develops a university invention? The impact of tacit knowledge and licensing policies. J. Technol. Transfer, 31: 415-429.
    CrossRef    
12. Mansfield, E., 1998. Academic and industrial innovation: An update of empirical findings. Res. Policy, 26: 773-776.
    CrossRef    
13. Meyer, M., 2002. Tracing knowledge flows in innovation systems. Scientometrics, 54(2): 193-212.
    CrossRef    
14. Powers, B., 2004. R&D funding sources and university technology transfer: What is stimulating universities to be more entrepreneurial? Res. High. Educ., 45(1): 1-23.
    CrossRef    
15. Scott, J., 2000. Social Network Analysis: A Handbook. Sage, UK.
    
16. Siegel, S., D. Waldman and A. Link, 2003. Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: An exploratory study. Res. Policy, 32(1): 27-48.
    CrossRef    
17. Singh, J., 2005. Collaborative networks as determinants of knowledge diffusion patterns. Manage. Sci., 51(5): 756-770.
    CrossRef    
18. Sorenson, O., 2003. Social networks and industrial geography. J. Evol. Econ., 13: 513-527.
    CrossRef    
19. Thursby, J. and S. Kemp, 2002. Growth and productive efficiency of university intellectual property licensing. Res. Policy, 31(1): 109-124.
    CrossRef    
20. Tijssen, W., 2001. Global and domestic utilization of industrial relevant science: Patent citation analysis of science-technology interactions and knowledge flows. Res. Policy, 30: 35-54.
    CrossRef    
21. Wassermann, S. and K. Faust, 1994. Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge.
    CrossRef    
22. Zander, U. and B. Kogut, 1995. Knowledge and the speed of the transfer and imitation of organizational capabilities: An empirical test. Organ. Sci., 6: 76-91.
    CrossRef    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.