Importance-Performance Matrix Analysis of the Researcher’s Competence in the Formation of University-Industry Collaboration Using Smart PLS
- 12 Downloads
This study empirically identified and investigated the importance and performance of researcher’s competence which serves as crucial stimuli in initiating university-industry collaborative activities in Malaysian research universities using Importance-Performance Matrix Analysis (IPMA). The findings are endorsed by the IPMA that the importance and performance of domain knowledge are high in contributing to sustainability entrepreneurship thus lead to the university-industry collaboration formation. It is also found that social capital and market knowledge are important but the performance of these areas required attention from the management to further enhance. Unexpectedly, it is suggested that the management should pay less attention to researcher reputation as this is the least priority area for improvement as demonstrated by the results generated by the IPMA. Essentially, the findings contribute to the benefit of the university leaders to understand the diversity of competence possessed by the academic researchers as valuable resources in spotting and seizing a business opportunity.
KeywordsUniversity-industry collaboration Market knowledge Self-leadership Social capital Reputation Domain knowledge
- Alexander, P. A. (1992). Domain knowledge: Evolving themes and emerging concerns. Educational Psychologist, 27(1), 33–51.Google Scholar
- Alexander, P. A., & Judy, J. E. (1988). The interaction of domain-specific and strategic knowledge in academic performance. Review of Educational Research, 58(4), 375–404.Google Scholar
- Boardman, P. C., & Ponomariov, B. L. (2009). University researchers working with private companies. Technovation, 29(2), 142–153. https://doi.org/10.1016/j.technovation.2008.03.008.Google Scholar
- Bochare, A., Gangopadhyay, A., Yesha, Y., Joshi, A., Yesha, Y., Brady, M., Grasso, M. A., & Rishe, N. (2014). Integrating domain knowledge in supervised machine learning to assess the risk of breast cancer. International Journal of Medical Engineering and Informatics, 6(2), 87–99.Google Scholar
- Bstieler, L., Hemmert, M., & Barczak, G. (2015). Trust Formation in University–Industry Collaborations in the U.S. Biotechnology Industry: IP Policies, Shared Governance, and Champions* ,†, 32(1), 111–121. https://doi.org/10.1111/jpim.12242.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences Lawrence Earlbaum associates. Hillsdale, NJ, 20–26.Google Scholar
- Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, S95–S120.Google Scholar
- Dafoe, A., Renshon, J., & Huth, P. (2014). Reputation and status as motives for war. Annual Review of Political Science, 17(1), 371–393. https://doi.org/10.1146/annurev-polisci-071112-213421.Google Scholar
- Dai, W. D., Mao, Z. E., Zhao, X. R., & Mattila, A. S. (2015). How does social capital influence the hospitality firm’s financial performance? The moderating role of entrepreneurial activities. International Journal of Hospitality Management, 51, 42–55. https://doi.org/10.1016/j.ijhm.2015.08.011.Google Scholar
- Ford, J. B., Honeycutt, D. & Simintiras, A. C. (2003). Sales management: A global perspective. London: Routledge.Google Scholar
- Guimón, J. (2013). Promoting University-Industry Collaboration in Developing Countries. World Bank, 3.Google Scholar
- Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM) (1st ed.). Sage Publications.Google Scholar
- Harman, H. H. (1960). Modern factor analysis. University of Chicago Press, Chicago.Google Scholar
- Haynes, A. S., Derrick, G. E., Redman, S., Hall, W. D., Gillespie, J. A., Chapman, S., & Sturk, H. (2012). Identifying trustworthy experts: How do policymakers find and assess public health researchers worth consulting or collaborating with? PLoS One, 7(3). https://doi.org/10.1371/journal.pone.0032665.
- He, J., van Ossenbruggen, J., & de Vries, A. P. (2013). Fish4label : Accomplishing an Expert Task without Expert Knowledge. In Proceedings of the 10th Conference on Open Research Areas in Information Retrieval, (pp. 211–212). LE CENTRE DE HAUTES ETUDES INTERNAT.Google Scholar
- Hofer, F. (2011). Knowledge transfer between academia and industry. In In Encyclopedia of Knowledge Management, Second Edition, pp. 977–986. IGI Global, 2011.Google Scholar
- Houghton, J. D., Dawley, D., & DiLiello, T. C. (2012). The abbreviated self-leadership questionnaire (ASLQ): A more concise measure of self-leadership. International Journal of Leadership Studies, 7(2), 216–232.Google Scholar
- Javadi, M. H. M., Rezaee, M. S., & Salehzadeh, R. (2013). Investigating the relationship between self-leadership strategies and job satisfaction. International Journal of Academic Research in Accounting, Finance and Management Sciences, 3(3), 284–289. https://doi.org/10.6007/IJARAFMS/v3-i3/178.Google Scholar
- Kim, W. C., & Mauborgne, R. A. (2014). Blue Ocean strategy, expanded edition: How to create uncontested market space and make the competition irrelevant. Harvard business review Press.Google Scholar
- Kohli, A. K., Jaworski, B. J., & Kumar, A. (1993). MARKOR: a measure of market orientation. Journal of Marketing Research, 30(4), 467–477.Google Scholar
- Kumar, R., & Sharan, A. (2014). Personalized web search using browsing history and domain knowledge. In Proceedings of the 2014 international conference on issues and challenges in intelligent computing techniques, ICICT 2014 (pp. 493–497). https://doi.org/10.1109/ICICICT.2014.6781332.Google Scholar
- Lakhmani, S., Oppold, P., Rupp, M. A., Szalma, J. L., & Hancock, P. A. (2015). Heterogeneous knowledge distribution in MMO player behavior: Using domain knowledge to distinguish membership in a community of practice. Computers in Human Behavior, 55, 455–467. https://doi.org/10.1016/j.chb.2015.09.032.Google Scholar
- Landry, R., Amara, N., & Ouimet, M. (2002b). Research transfer in natural sciences and engineering: Evidence from Canadian universities. In In 4th Triple Helix Conference, Copenhagen, Denmark. Retrieved from internal-pdf:/Landry Amara Ouimet 2002.pdf.Google Scholar
- Latif, N. S. A., Abdullah, A., Jan, N. M., & Thaheer, A. S. M. (2016). Market Orientation Conception on Commercialization of University Research Products with Moderating Effect of Organizational Culture. In Proceedings of the 1st AAGBS International Conference on Business Management 2014, AiCoBM(2014), 17–27 Springer Singapore. https://doi.org/10.1007/978-981-287-426-9.
- Lee, Y. S. (2000). The sustainability of university-industry research collaboration: An empirical assessment. The Journal of Technology Transfer, 25(2), 111–133.Google Scholar
- Leyden, D. P., & Link, A. N. (2013). Knowledge spillovers, collective entrepreneurship, and economic growth: The role of universities. Small Business Economics, 41(4), 797–817.Google Scholar
- Lievens, F., & Motowidlo, S. J. (2015). Situational judgment tests: From measures of situational judgment to measures of general domain knowledge. Industrial and Organizational Psychology, 1–20.Google Scholar
- Lindberg, O., & Rantatalo, O. (2014). Competence in professional practice: A practice theory analysis of police and doctors. Human Relations, 0018726714532666. https://doi.org/10.1177/0018726714532666.
- Loew, L. (2016). Competency management: challenges and benefits. Retrieved from https://trainingmag.com/competency-management-challenges-and-benefits/.
- Manz, C. C. (1986). Self-leadership: Toward an expanded theory of self-influence processes in organizations. Academy of Management Review, 11(3), 585–600.Google Scholar
- Martilla, J. A., & James, J. C. (1977). Importance-performance analysis. The Journal of Marketing, 41(1), 77–79.Google Scholar
- Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266.Google Scholar
- Park, G. R., Moon, G. W., & Yang, D. H. (2015). The moderation effect of smart phone addiction in relationship between self-leadership and innovative behavior. J Multidiscipl Eng Sci Technol (JMEST), 2(4), 784.Google Scholar
- Putnam, R. D., Leonardi, R., & Nanetti, R. Y. (1993). Social capital and institutional success. Making democracy work: Civic traditions in modern Italy, 163, 185.Google Scholar
- Serageldin, I., & Grootaert, C. (1998). 10. Defining social capital: an integrating view. Evaluation and Development: the institutional dimension, 1, 203.Google Scholar
- SCOMM (2013). The APEX University: The state of the art. Universiti Sains Malaysia: Strategic Communications Office.Google Scholar
- Siegel, D. S., Waldman, D. A., Atwater, L. E., & Link, A. N. (2003). Commercial knowledge transfers from universities to firms: Improving the effectiveness of university-industry collaboration. Journal of High Technology Management Research, 14(1), 111–133. https://doi.org/10.1016/S1047-8310(03)00007-5.Google Scholar
- Stan, C. (2014). Concept of Competence - Clarification and Meanings. STAN, C. . CONCEPT OF COMPETENCE - CLARIFICATION AND MEANINGS. Managerial Challenges Of The Contemporary Society, 7(2), 132.Google Scholar
- Tongco, M. D. C. (2007). Purposive Sampling as a Tool for Informant Selection, 158, 147–158.Google Scholar
- Uphoff, N. (2000). Understanding Social Capital : Learning from the Analysis and Experience of Participation (pp. 215–249). Social Capital : A Multifaceted Perspective, Washington, D.C. The World Bank.Google Scholar
- Vukicevic, M., Radovanovic, S., Kovacevic, A., Stiglic, G., & Obradovic, Z. (2015). Improving hospital readmission prediction using domain knowledge based virtual examples. In Knowledge Management in Organizations, 695–706. https://doi.org/10.1007/978-3-319-21009-4.