Developing a multi-criteria decision support system for evaluating knowledge transfer by higher education institutions

References

• Ackermann, F., & Eden, C. (2011). Negotiation in strategy making teams: Group support systems and the process of cognitive change. Group Decision and Negotiation, 20(3), 293–314.
   Web of Science ®Google Scholar
• Acs, Z., Braunerhjelm, P., Audretsch, D., & Carlsson, B. (2009). The knowledge spillover theory of entrepreneurship. Small Business Economics, 32(1), 15–30.
   Web of Science ®Google Scholar
• Agrawal, A. (2001). University-to-industry knowledge transfer: Literature review and unanswered questions. International Journal of Management Review, 3(4), 285–302.
   Web of Science ®Google Scholar
• Agrawal, A., & Henderson, R. (2002). Putting patents in context: Exploring knowledge transfer from MIT. Management Science, 48(1), 44–60.
   Web of Science ®Google Scholar
• Amber, Q., Khan, I., & Ahmad, M. (2018). Assessment of KM processes in a public sector organisation in Pakistan: Bridging the gap. Knowledge Management Research & Practice, 16(1), 13–20.
   Web of Science ®Google Scholar
• Amesse, F., & Cohendet, P. (2001). Technology transfer revisited from the perspective of the knowledge-based economy. Research Policy, 30(9), 1459–1478.
   Web of Science ®Google Scholar
• Audretsch, D., & Lehmann, E. (2005). Does the knowledge spillover theory of entrepreneurship hold for regions? Research Policy, 34(8), 1191–1202.
   Web of Science ®Google Scholar
• Balconi, M., & Laboranti, A. (2006). University–Industry interactions in applied research: The case of microelectronics. Research Policy, 35(10), 1616–1630.
   Web of Science ®Google Scholar
• Bana e Costa, C., & Chagas, M. (2004). A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative. European Journal of Operational Research, 153(2), 323–331.
   Web of Science ®Google Scholar
• Bana e Costa, C., De Corte, J., & Vansnick, J. (2012). MACBETH. International Journal of Information Technology and Decision Making, 11(2), 359–387.
   Web of Science ®Google Scholar
• Bana e Costa, C., Stewart, T., & Vansnick, J. (1997). Multicriteria decision analysis: Some thoughts based on the tutorial and discussion sessions of the ESIGMA meetings. European Journal of Operational Research, 99(10), 28–37.
   Google Scholar
• Bana e Costa, C., & Vansnick, J. (1994). MACBETH: An interactive path towards the construction of cardinal value functions. International Transactions in Operational Research, 1(4), 489–500.
   Google Scholar
• Bank, T. (2002). Constructing knowledge societies: New challenges for tertiary education. Washington DC: The World Bank.
   Google Scholar
• Becheikh, N. (2010). How to improve knowledge transfer strategies and practices in education? Answers from a systematic literature review. Research in Higher Education Journal, 7(1), 1–21.
   Google Scholar
• Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: An integrated approach. Dordrecht: Kluwer Academic Publishers.
   Google Scholar
• Bleiklie, I., & Kogan, M. (2007). Organization and governance of universities. Higher Education Policy, 20(4), 477–493.
   Google Scholar
• Boucher, G., Conway, C., & Meer, E. (2003). Tiers of engagement by universities in their region’s development. Regional Studies, 37(9), 887–897.
   Web of Science ®Google Scholar
• Carayannis, E., Ferreira, F., Bento, P., Ferreira, J., Jalali, M., & Fernandes, B. (2018). Developing a socio-technical evaluation index for tourist destination competitiveness using cognitive mapping and MCDA. Technological Forecasting and Social Change, 131, 147–158.
   Web of Science ®Google Scholar
• Cohen, W., Nelson, R., & Walsh, J. (2002). Links and impacts: The influence of public research on industrial R & D. Management Science, 48(1), 1–23.
   Web of Science ®Google Scholar
• Cosh, A., Hughes, A., & Lester, R. (2006). UK plc: Just how innovative are we? Findings from the Cambridge-MIT Institute. Cambridge: MIT Institute.
   Google Scholar
• Cowan, R., & Zinovyeva, N. (2013). University effects on regional innovation. Research Policy, 42(3), 788–800.
   Web of Science ®Google Scholar
• De Beer, C., Secundo, G., Passiante, G., & Schutte, C. (2017). A mechanism for sharing best practices between university technology transfer offices. Knowledge Management Research & Practice, 15(4), 523–532.
   Web of Science ®Google Scholar
• Eden, C., & Ackermann, F. (2001a). SODA – The principles. In J. Rosenhead & J. Mingers (Eds.), Rational analysis for a problematic world revisited: Problem structuring methods for complexity, uncertainty and conflict (pp. 20–41). Chichester: John Wiley & Sons.
   Google Scholar
• Eden, C., & Ackermann, F. (2001b). SODA – Journey making and mapping in practice. In J. Rosenhead & J. Mingers (Eds.), Rational analysis for a problematic world revisited: Problem structuring methods for complexity, uncertainty and conflict (pp. 43–60). Chichester: John Wiley & Sons.
   Google Scholar
• Etzkowitz, H., & Klofsten, M. (2005). The innovating region: Toward a theory of knowledge-based regional development. R and D Management, 35(3), 243–255.
   Web of Science ®Google Scholar
• European Commission. (2007). Improving knowledge transfer between research institutions and industry across Europe, embracing open innovation – Implementing the Lisbon agenda. Brussels: Author.
   Google Scholar
• Ferreira, F., Santos, S., & Rodrigues, P. (2011). From traditional operational research to multiple criteria decision analysis: Basic ideas on an evolving field. Problems and Perspectives in Management, 9(3), 1–8.
   Google Scholar
• Ferreira, F., Spahr, R., Sunderman, M., & Jalali, M. (2018). A prioritisation index for blight intervention strategies in residential real estate. Journal of the Operational Research Society, 69(8), 1269–1285.
   Web of Science ®Google Scholar
• Fiedler, F. (1965). Engineer the job to fit the manager. Harvard Business Review, 43(5), 115–122.
   Web of Science ®Google Scholar
• Filipe, M., Ferreira, F., & Santos, S. (2015). A multiple criteria information system for pedagogical evaluation and professional development of teachers. Journal of the Operational Research Society, 66(11), 1769–1782.
   Web of Science ®Google Scholar
• Franco, M., Haase, H., & Fernandes, A. (2014). The influence of academic staff’s personal and professional characteristics on the decision to cooperate with industry. European Journal of International Management, 8(3), 293–309.
   Web of Science ®Google Scholar
• Fromhold-Eisebith, M., & Werker, C. (2013). Universities’ functions in knowledge transfer: A geographical perspective. The Annals of Regional Science, 51(3), 621–643.
   Web of Science ®Google Scholar
• Gardner, P., Fong, A., & Huang, R. (2010). Measuring the impact of knowledge transfer from public research organizations: A comparison of metrics used around the world. International Journal of Learning and Intellectual Capital, 7(3), 318–327.
   Google Scholar
• Godin, B., & Doré, C. (2005). Measuring the impacts of Science: Beyond the economic dimension. Finland: Helsinki Institute for Science and Technology Studies.
   Google Scholar
• Grant, J., Brutscher, P., Kirk, S., Butler, L., & Wooding, S. (2010). Capturing research impacts: A review of international practice. Cambridge: Rand Europe.
   Google Scholar
• Greiner, M., Böhmann, T., & Krcmar, H. (2007). A strategy for knowledge management. Journal of Knowledge Management, 11(6), 3–15.
   Google Scholar
• Gunasekara, C. (2006). Reframing the role of universities in the development of regional innovation systems. Journal of Technology Transfer, 31(1), 101–113.
   Google Scholar
• Jarwal, S., Brion, A., & King, M. (2009). Measuring research quality using the journal impact factor, citations and “Ranked Journals”: Blunt instruments or inspired metrics? Journal of Higher Education Policy and Management, 31(4), 289–300.
   Google Scholar
• Jensen, P., Palangkaraya, A., & Webster, E. (2009). A guide to metrics on knowledge transfer from universities to businesses and industry in Australia. Melbourne: Melbourne Institute of Applied Economic and Social Research.
   Google Scholar
• Jiafu, S., Yu, Y., & Tao, Y. (2018). Measuring knowledge diffusion efficiency in R&D networks. Knowledge Management Research & Practice, 16(2), 208–219.
   Web of Science ®Google Scholar
• Jiang, X., Li, M., Gao, S., Bao, Y., & Jiang, F. (2013). Managing knowledge leakage in strategic alliances: The effects of trust and formal contracts. Industrial Marketing Management, 42(6), 983–991.
   Web of Science ®Google Scholar
• Jongbloed, B., Enders, J., & Salerno, C. (2008). Higher education and its communities: Interconnections, interdependencies and a research agenda. Higher Education, 56(3), 303–324.
   Web of Science ®Google Scholar
• Kaklauskas, A., Banaitis, A., Ferreira, F., Ferreira, J., Amaratunga, D., Lepkova, N., … Banaitienė, N. (2018). An evaluation system for university–Industry partnership sustainability: Enhancing options for entrepreneurial universities. Sustainability, 10(1), 1–10.
   Web of Science ®Google Scholar
• Karnani, F. (2012). The university’s unknown knowledge: Tacit knowledge, technology transfer and university spin-offs findings from an empirical study based on the theory of knowledge. The Journal of Technology Transfer, 38(3), 235–250.
   Web of Science ®Google Scholar
• Keeney, L. (1992). Value-focused thinking: A path to creative decision-making. Harvard: Harvard University Press.
   Google Scholar
• Koo, J. (2005). Agglomeration and spillovers in a simultaneous framework. The Annals of Regional Science, 39(1), 35–47.
   Web of Science ®Google Scholar
• Lambert, R. (2003). Lambert review of business-university collaboration. London: HM Treasury.
   Google Scholar
• Lane, J. (2010). Let’s make science metrics more scientific. Nature, 464(4), 488–489.
   Google Scholar
• Lim, K. (2009). The many faces of absorptive capacity: Spillovers of copper interconnect technology for semiconductor chips. Industrial and Corporate Change, 18(6), 1249–1284.
   Web of Science ®Google Scholar
• Lockett, A., Wright, M., & Wild, A. (2015). The institutionalization of third stream activities in UK higher education: The role of discourse and metrics. British Journal of Management, 26(1), 78–92.
   Web of Science ®Google Scholar
• Marques, S., Ferreira, F., Meidutė-Kavaliauskienė, I., & Banaitis, A. (2018). Classifying urban residential areas based on their exposure to crime: A constructivist approach. Sustainable Cities and Society, 39(4), 418–429.
   Google Scholar
• Miller, K., McAdam, R., Moffett, S., & Brennan, M. (2011). An exploratory study of retaining and maintaining knowledge in university technology transfer processes. International Journal of Entrepreneurial Behaviour & Research, 17(6), 663–684.
   Google Scholar
• Nonaka, I., & Takeuchi, H. (1995). Knowledge-creating company. New York, NY: Oxford University Press.
   Google Scholar
• Penfield, T., Baker, M., Scoble, R., & Wykes, M. (2014). Assessment, evaluations, and definitions of research impact: A review. Research Evaluation, 23(1), 21–32.
   Web of Science ®Google Scholar
• Peng, S., Ferreira, F., & Zheng, H. (2017). A university–Industry cooperation model for small and medium enterprises: The case of Chengdu KEDA Optoelectronic Technology Ltd. International Journal of Learning and Change, 9(1), 29–45.
   Google Scholar
• Pertuzé, J., Calder, E., Greitzer, E., & Lucas, W. (2010). Best practices for industry- university collaboration. MIT Sloan Management Review, 41(4), 83–90.
   Google Scholar
• Polanyi, L. (1985). Telling the American story: A structural and cultural analysis of conversational storytelling. Norwood, NJ: Albex Publishers.
   Google Scholar
• Polanyi, M. (1966). The tacit dimension. London: Routledge and Kegan Paul.
   Google Scholar
• Porter, M. (2008). The five competitive forces that shape strategy. Harvard Business Review, 86(1), 78–93.
   PubMed Web of Science ®Google Scholar
• Rauhvargers, A. (2013). Global university rankings and their impact: Report II. Brussels: European University Association.
   Google Scholar
• Rauhvargers, A. (2014). Where are the global rankings leading us? An analysis of recent methodological changes and new developments. European Journal of Education, 49(1), 29–44.
   Web of Science ®Google Scholar
• Rinia, E., Van Leeuwen, T., Bruins, E., Van Vuren, H., & Van Raan, A. (2002). Measuring knowledge transfer between fields of science. Scientometrics, 54(3), 347–362.
   Web of Science ®Google Scholar
• Rothaermel, F., Agung, S., & Jiang, L. (2007). University entrepreneurship: A taxonomy of the literature. Industrial and Corporate Change, 16(4), 691–791.
   Web of Science ®Google Scholar
• Salter, A., & Martin, B. (2001). The economic benefits of publicly funded basic research: A critical review. Research Policy, 30(3), 509–532.
   Web of Science ®Google Scholar
• Schartinger, D., Rammer, C., & Fröhlich, J. (2002). Knowledge interactions between universities and industry in Austria: Sectoral patterns and determinants. Research Policy, 31(3), 303–328.
   Web of Science ®Google Scholar
• Scoble, R., Dickson, K., Hanney, S., & Rodgers, G. (2010). Institutional strategies for capturing socio-economic impact of academic research. Journal of Higher Education Policy and Management, 32(5), 499–510.
   Google Scholar
• Sedlacek, S. (2013). The role of universities in fostering sustainable development at the regional level. Journal of Cleaner Production, 48(1), 74–84.
   Google Scholar
• Seppo, M., & Lilles, A. (2010). Indicators measuring university cooperation. Discussions on Estonian Economic Policy, 20(1), 204–225.
   Google Scholar
• Smith, H., & Bagchi-Sen, S. (2012). The research university, entrepreneurship and regional development: Research propositions and current evidence. Entrepreneurship & Regional Development, 24(5/6), 383–404.
   Web of Science ®Google Scholar
• Tornatzky, L. (2001). Benchmarking university-industry technology transfer: A six year retrospective. Journal of Technology Transfer, 26(3), 269–277.
   Google Scholar
• UNICO. (2008). Metrics for the evaluation of knowledge transfer activities at universities. Cambridge: Library House.
   Google Scholar
• Wright, R., & Dana, L. (2003). Changing paradigms of international entrepreneurship strategy. Journal of International Entrepreneurship, 1(1), 135–152.
   Google Scholar
• Zack, M. (1999). Developing a knowledge strategy. California Management Review, 41(3), 125–145.
   Web of Science ®Google Scholar