PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Metrics for measuring the achievement likelihood of values in university R&D projects

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The purpose of this paper is to investigate the potential for using metrics to measure the likelihood of achieving the values desired by project stakeholders of R&D projects in the university context and to propose a selection of metrics for practical application. Design/methodology/approach: A literature review was conducted to identify the metrics proposed for R&D projects and the values expected from such projects by stakeholders. Interviews with R&D project managers from universities were carried out to determine the current use of metrics in university-based R&D projects. Conceptual analysis was employed to propose a selection of metrics to be introduced, on an obligatory basis, into the management of R&D projects at universities. Findings: A very low maturity in value-based and metrics-based project management at universities was confirmed. While several metrics are used, they are not those related to project values, which is detrimental to the success rate of R&D projects at universities. The use of value-based metrics should be gradually embedded in the management of R&D projects at universities. Research limitations/implications: The findings described in the paper require case studies of practical application, through which the list of values and the corresponding metrics can be completed. Originality/value: The problem of the absence of value-based and metrics-based project management in the university context was emphasized, and an initial proposal was formulated regarding how these aspects should be implemented at universities. The targeted audience of this paper includes individuals involved in the management of R&D projects at universities, whether as project managers, project team members, university division managers, or employees of project funding institutions.
Rocznik
Tom
Strony
89--106
Opis fizyczny
Bibliogr. 39 poz.
Twórcy
autor
  • Faculty of Management, Wroclaw University of Science and Technology
  • Faculty of Management, Wroclaw University of Science and Technology
  • Faculty of Management, Wroclaw University of Science and Technology
Bibliografia
  • 1. Agostino, D., Arena, M., Azzone, G., Dal Molin, M., Masella, C. (2012). Developing a performance measurement system for public research centres. International Journal of Business Science and Applied Management (IJBSAM), Vol. 7(1), pp. 43-60. http://hdl.handle.net/10419/190633.
  • 2. Barnes, T., Pashby, I., Gibbons, A. (2002). Effective University-Industry Interaction: A Multi-case Evaluation of Collaborative R&D Projects. European Management Journal, Vol. 20(3), pp. 272-285.
  • 3. Bekkers, R., Freitas, I.M.B. (2011). The performance of university-industry collaborations: Empirical evidence from the Netherlands. DRUID 2011 Summer Conference.
  • 4. Collins, D., Baccarini, D. (2004). Project Success - A survey. Journal of Construction Research, 5(2), 211.
  • 5. Cunningham, J., Link, A. (2015). Fostering university-industry R&D collaborations in European Union countries. International Entrepreneurship and Management Journal, Vol. 11(4), pp.849-860.
  • 6. Daoud, A.O., Tsehayae, A.A., Fayek, A.R. (2017). A guided evaluation of the impact of research and development partnerships on university, industry, and government. Canadian Journal of Civil Engineering, Vol. 44(4), pp. 253-263.
  • 7. Eckes-Kondak, M. (2021). Metoda pomiaru i oceny wartości w zarządzaniu projektami badawczo-rozwojowymi w uczelni. Doctoral dissertation. Uniwersytet Ekonomiczny w Krakowie
  • 8. Ellis, R.C., Wood, G.D., Keel, D.A. (2005). Value management practices of leading UK cost consultants. Construction Management and Economics, Vol. 23, No. 485.
  • 9. Elmquist, M., Le Masson, P. (2009). The value of a "failed" R&D project: An emerging evaluation framework for building innovative capabilities. R&D Management, Vol. 39(2), No. 136.
  • 10. Fernandes, G., Pinto, E.B., Araujo, M., Magalhaes, R., Machado, R.J. (2017). A Method for Measuring the Success of Collaborative University-Industry R&D Funded Contracts. International Conference on Project Management.
  • 11. Garcia, R., Araujo, V., Mascarini, S., Santos, E.G., Costa, A.R. (2019). How the benefits, results, and barriers of collaboration affect university engagement with industry. Science and Public Policy, Vol. 46(3), pp. 347-357.
  • 12. Grimaldi, R., Von Tunzelmann, N. (2002). Assessing collaborative, pre-competitive R&D projects: The case of the UK LINK scheme. R&D Management, Vol. 32(2), pp. 165-173.
  • 13. Guimon, J. (2013). Promoting University-Industry Collaboration in Developing Countries. Washington, DC: World Bank.
  • 14. Healy, A., Perkmann, M., Goddard, J., Kempton, L. (2014). Measuring the impact of university-business cooperation. Final Report. Luxembourg: Publications Office of the European Union.
  • 15. Iwko, J., Kuchta, D., Yakivets, O. (2023). Metrics based project time management - Application of linear programming. Scientific Papers of Silesian University of Technology, Vol. 188.
  • 16. Kerzner, H. (2022). Project Management Metrics, KPIs, and Dashboards: A Guide to Measuring and Monitoring Project Performance. New York: International Institute for Learning, Inc., Willey.
  • 17. Kerzner, H. (2013). Project Management Metrics, KPIs, and Dashboards: A Guide to Measuring and Monitoring Project Performance. New York: International Institute for Learning, Inc.
  • 18. Kerzner, H. (2015). Project management 2.0: leveraging tools, distributed collaboration, and metrics for project success. New York: John Wiley & Sons.
  • 19. Klaus-Rosińska, A. (2019). Sukces projektów badawczych i badawczo-rozwojowych w sektorze nauki. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej.
  • 20. Kuchta, D., Betta, J., Jastrzębska, J. (2017). Success and Failure Factors of R&D Projects at Universities in Poland and France. Business Risk in Changing Dynamics of Global Village.
  • 21. Kulatunga, U., Amaratunga, D., Haigh, R. (2011). Structured approach to measure performance in construction research and development. International Journal of Productivity and Performance Management, Vol. 60(3), pp. 289-310. https://doi.org/10.1108/17410401111112005.
  • 22. Łada, M., Kozarkiewicz, A. (2010). Zarządzanie wartością projektów. Instrumenty rachunkowości zarządczej i controllingu. Warszawa: C.H. Beck.
  • 23. Lepak, D.P., Smith, K.G., Taylor, M.S. (2007). Value creation and value capture: A multilevel perspective. Academy of Management Review, Vol. 32(1).
  • 24. Łukasiewicz, P. (2007). Wczesna faza budowania wartości projektów naukowych. Nauka, Iss. 4.
  • 25. Martin-Sardesai, A., Guthrie, J. (2018). Human capital loss in an academic performance measurement system. Journal of Intellectual Capital, Vol. 19(1), pp. 53-70. https://doi.org/10.1108/JIC-06-2017-0085.
  • 26. Mowery, D.C., Sampat, B.N. (2009). Universities in national innovation systems. In: J. Fagerberg, D.D. Mowery (Eds.), The Oxford Handbook of Innovation. Oxford: Oxford University Press.
  • 27. Perkmann, M., Neely, A., Walsh, K. (2011). How should firms evaluate success in university-industry alliances? A performance measurement system. R&D Management, Vol. 41(2), pp. 202-216.
  • 28. Perkmann, M., Walsh, K. (2007). University-industry relationships and open innovation: Towards a research agenda. International Journal of Management Reviews, Vol. 9(4), pp. 259-280.
  • 29. Philbin, S. (2008). Measuring the performance of research collaborations. Measuring Business Excellence, Vol. 12(3), pp. 16-23.
  • 30. Piva, E., Rossi-Lamastra, C. (2013). Systems of indicators to evaluate the performance of university-industry alliances: A review of the literature and directions for future research. Measuring Business Excellence, Vol. 17(3), pp. 40-54.
  • 31. Rusu, V.D., Mocanu, M., Bibiri, A.-D. (2022). Determining factors of participation and success rates in research funding competitions: Case study. PLoS ONE, Vol. 17(7), e0272292. https://doi.org/10.1371/journal.pone.0272292.
  • 32. Salimi, N., Rezaei, J. (2018). Evaluating firms' R&D performance using best worst method. Evaluation and Program Planning, Vol. 66, pp. 147-155.
  • 33. Samsonowa, T., Buxmann, P., Gerteis, W. (2009). Defining KPI sets for industrial research organizations-a performance measurement approach. International Journal of Innovation Management, Vol. 13(2), pp. 157-176.
  • 34. Skute, I., Zalewska-Kurek, K., Hatak, I., de Weerd-Nederhof, P. (2019). Mapping the field: A bibliometric analysis of the literature on university-industry collaborations. The Journal of Technology Transfer, Vol. 44(3), pp. 916-947. https://doi.org/10.1007/s10961-017-9637-1.
  • 35. The Knowledge Academy (2024). Importance of Value Management: An Ultimate Guide, https://www.theknowledgeacademy.com/blog/importance-of-value-management/.
  • 36. Yakivets, O. (2022). Metrics for measuring research and development projects. Master thesis. Wroclaw University of Technology, Faculty of Management.
  • 37. Yin, R.K. (2015). Case study in research, Design and methods. Kraków: Jagiellonian University Publishing House.
  • 38. Yu, A.G., Flett, P.D., Bowers, J.A. (2005). Developing a value-centered proposal for assessing project success. International Journal of Project Management, No. 23, p. 428.
  • 39. Zaskórski, P. (2012). Ewaluacja projektów. Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki, No. 8.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5bf9fd88-8700-46bd-a4d0-222eb59ee886
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.