Skip to main content

Advertisement

Log in

How background, motivation, and the cooperation tie of faculty members affect their university–industry collaboration outputs: an empirical study based on Taiwan higher education environment

  • Published:
Asia Pacific Education Review Aims and scope Submit manuscript

Abstract

University–industry collaboration (UIC) has been booming for several decades worldwide. Integrating knowledge and resources from universities and industries has become a common method to maintain the innovation capacities of the industries. UIC activities have been promoted in Taiwan through various incentive policies for more than 20 years. However, most university faculty members still obtain research resources from government-related organizations much more than from the industries. Thus, this study focuses on the mechanism between faculty inputs and UIC outputs and tries to answer how faculty characteristics, background, motivation, and the collaboration patterns between universities and industries affect the work outputs of university faculty members. The sample consisted of 2031 questionnaires, and 376 traceable questionnaires were deemed valid and were analyzed. The results showed that age, gender, universities, work experience, award records, seniority of the faculty member, and the strength of social ties between the collaborative teams indeed had significant effects on the UIC outputs. The results of this study may be informative for the industries when business organizations are interested in seeking academia partners to achieve their expected collaboration outputs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Aldridge, T. T., Audretsch, D., Desai, S., & Nadella, V. (2014). Scientist entrepreneurship across scientific fields. The Journal of Technology Transfer, 39(6), 819–835.

    Article  Google Scholar 

  • Arza, V., & Carattoli, M. (2017). Personal ties in university-industry linkages: A case-study from Argentina. The Journal of Technology Transfer, 42(4), 814–840.

    Article  Google Scholar 

  • Azagra-Caro, J. M. (2007). What type of faculty member interacts with what type of firm? Some reasons for the delocalization of university–industry interaction. Technovation, 27(11), 704–715.

    Article  Google Scholar 

  • Bekkers, R., & Bodas Freitas, I. M. (2008). Analyzing knowledge transfer channels between universities and industry: To what degree do sectors also matter? Research Policy, 37(10), 1837–1853.

    Article  Google Scholar 

  • Boardman, P. C. (2009). Government centrality to university–industry interactions: University research centers and the industry involvement of academic researchers. Research Policy, 38(10), 1505–1516.

    Article  Google Scholar 

  • Boardman, P. C., & Corley, E. A. (2008). University research centers and the composition of research collaborations. Research Policy, 37(5), 900–913.

    Article  Google Scholar 

  • Boardman, P. C., & Ponomariov, B. L. (2009). University researchers working with private companies. Technovation, 29(2), 142–153.

    Article  Google Scholar 

  • Bozeman, B., Fay, D., & Slade, C. P. (2013). Research collaboration in universities and academic entrepreneurship: The-state-of-the-art. The Journal of Technology Transfer, 38(1), 1–67.

    Article  Google Scholar 

  • Burt, R. S. (1997). The contingent value of social capital. Administrative Science Quarterly, 42(2), 339–365.

    Article  Google Scholar 

  • Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: The influence of public research on industrial R&D. Management Science, 48(1), 1–23.

    Article  Google Scholar 

  • Coleman, J. S. (1988). Social Capital in the Creation of Human Capital. American Journal of Sociology, 94, S95–S120.

    Article  Google Scholar 

  • D’Este, P., & Perkmann, M. (2011). Why do academics engage with industry? The entrepreneurial university and individual motivations. The Journal of Technology Transfer, 36(3), 316–339.

    Article  Google Scholar 

  • Feldman, M. P., & Desrochers, P. (2004). Truth for its own sake: Academic culture and technology transfer at Johns Hopkins University. Minerva, 42(2), 105–126.

    Article  Google Scholar 

  • Feng, C., Ding, M., & Sun, B. (2011). A comparison research on industry-university: Research strategic alliances in countries. Asian Social Science, 7(1), 102–105.

    Google Scholar 

  • Fleming, L., King, I. C., & Juda, A. (2007). Small worlds and regional innovation. Organization Science, 18(6), 938–954.

    Article  Google Scholar 

  • Giuliani, E., Morrison, A., Pietrobelli, C., & Rabellotti, R. (2010). Who are the researchers that are collaborating with industry? An analysis of the wine sectors in Chile, South Africa and Italy. Research Policy, 39(6), 748–761.

    Article  Google Scholar 

  • Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 48(6), 1360–1380.

    Article  Google Scholar 

  • Guerrero, M., Urbano, D., Cunningham, J., & Organ, D. (2014). Entrepreneurial universities in two European regions: A case study comparison. The Journal of Technology Transfer, 39(3), 415–434.

    Article  Google Scholar 

  • Gulbrandsen, M., & Smeby, J. C. (2005). Industry funding and university professors’ research performance. Research Policy, 34(6), 932–950.

    Article  Google Scholar 

  • Haeussler, C., & Colyvas, J. A. (2011). Breaking the ivory tower: Academic entrepreneurship in the life sciences in UK and Germany. Research Policy, 40(1), 41–54.

    Article  Google Scholar 

  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  • Huggins, R., & Prokop, D. (2017). Network structure and regional innovation: A study of university–industry ties. Urban Studies, 54(4), 931–952.

    Article  Google Scholar 

  • Krabel, S., Siegel, D. S., & Slavtchev, V. (2012). The internationalization of science and its influence on academic entrepreneurship. The Journal of Technology Transfer, 37(2), 192–212.

    Article  Google Scholar 

  • Landry, R., Amara, N., & Lamari, M. (2002). Does social capital determine innovation? Technological Forecasting and Social Change, 69(7), 681–701.

    Article  Google Scholar 

  • Landry, R., Amara, N., & Ouimet, M. (2007). Determinants of knowledge transfer: Evidence from Canadian university researchers in natural sciences and engineering. Journal of Technology Transfer, 32(6), 561–592.

    Article  Google Scholar 

  • Lee, Y. S. (2000). The sustainability of university-industry research collaboration: An empirical assessment. Journal of Technology Transfer, 25(2), 111–133.

    Article  Google Scholar 

  • Lin, M. W., & Bozeman, B. (2006). Researchers’ industry experience and productivity in university–industry research centers: A “scientific and technical human capital” explanation. The Journal of Technology Transfer, 31(2), 269–290.

    Article  Google Scholar 

  • Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Martinelli, A., Meyer, M., & von Tunzelmann, N. (2008). Becoming an entrepreneurial university? A case study of knowledge exchange relationships and faculty attitudes in a medium-sized, research-oriented university. The Journal of Technology Transfer, 33(3), 259–283.

    Article  Google Scholar 

  • Meissner, D., Meissner, D., Carayannis, E. G., & Carayannis, E. G. (2017). Value generation from industry-science linkages in light of targeted open innovation. Journal of Knowledge Management, 21(2), 295–307.

    Article  Google Scholar 

  • Melkers, J., & Xiao, F. (2012). Boundary-spanning in emerging technology research: Determinants of funding success for academic scientists. The Journal of Technology Transfer, 37(3), 251–270.

    Article  Google Scholar 

  • Merton, R. K. (1968). The Matthew effect in science - The reward and communication systems of science are considered. Science, 159, 56–63.

    Article  Google Scholar 

  • Nelson, R. E. (1989). The strength of strong ties: Social networks and intergroup conflict in organizations. Academy of Management Journal, 32(2), 377–401.

    Google Scholar 

  • Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D’Este, P., Fini, R., Geuna, A., Grimaldi, R., Hughes, A., Krabel, S., Kitson, M., Llerena, P., Lissoni, F., Salter, A., & Sobrero, M. (2013). Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy, 42(2), 423–442.

    Article  Google Scholar 

  • Ramaciotti, L., & Rizzo, U. (2015). The determinants of academic spin-off creation by Italian universities. R&D Management, 45(5), 501–514.

    Article  Google Scholar 

  • Rolfo, S., & Finardi, U. (2014). University Third mission in Italy: Organization, faculty attitude and academic specialization. The Journal of Technology Transfer, 39(3), 472–486.

    Article  Google Scholar 

  • Rost, K. (2011). The strength of strong ties in the creation of innovation. Research Policy, 40(4), 588–604.

    Article  Google Scholar 

  • Stam, W., Arzlanian, S., & Elfring, T. (2014). Social capital of entrepreneurs and small firm performance: A meta-analysis of contextual and methodological moderators. Journal of Business Venturing, 29(1), 152–173.

    Article  Google Scholar 

  • Van Rijnsoever, F. J., Hessels, L. K., & Vandeberg, R. L. J. (2008). A resource-based view on the interactions of university researchers. Research Policy, 37(8), 1255–1266.

    Article  Google Scholar 

  • Zheng, W. (2010). A social capital perspective of innovation from individuals to nations: Where is empirical literature directing us? International Journal of Management Reviews, 12(2), 151–183.

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by Ministry of Science and Technology, R.O.C. Grant number is roughly USD 11,000 and the Grand ID is 104-2410-H-006-105.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ching Ying Huang.

Appendices

Appendix 1

See Table 7.

Table 7 Variables and measurements list

Appendix 2

See Table 8.

Table 8 Correlation coefficient matrix of the numerical variables

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, C.Y. How background, motivation, and the cooperation tie of faculty members affect their university–industry collaboration outputs: an empirical study based on Taiwan higher education environment. Asia Pacific Educ. Rev. 19, 413–431 (2018). https://doi.org/10.1007/s12564-018-9546-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12564-018-9546-5

Keywords

Navigation