Metrics Supporting Research Project Management in the Science Sector
Keywords:
metrics, research projects, project managementAbstract
Metrics are a fundamental tool used in project management, including research project management. Management and quality sciences develop, and their impact and significance continue to grow. Metrics should be adapted to different types of projects, different definitions of project success and different types of stakeholders. The aim of the article is to present proposals for metrics to manage research projects in the science sector and recommendations for their use. These recommendations are based on documentation from two research projects completed at a selected scientific institution funded by the National Science Centre and interviews with the project managers. The most important recommendation is the effective use of metrics in research project management, others indicate that metrics should not be based solely on achievements, metrics should not monitor only raw numerical data, metrics should take into account the human factor and metrics should be used at every stage of research project implementation.
Downloads
References
Akty prawne
Ustawa z dnia 30 kwietnia 2010 r. o zasadach finansowania nauki (Dz.U. z 2010 r. nr 96 poz. 615).
Wydawnictwa zwarte
Chang, T.‑Y. (2006). The Management of Innovative Projects by University Scientists: An Exploratory Study of PM Practices and Performance in Biotechnology Sector (doctoral thesis). University of Bath.
Huljenić, D., Dešić, S., & Matijašević, M. (2005). Project Management in Research Projects. W: Proceedings of the 8th International Conference on Telecommunications, 2005. ConTEL 2005. Volume: 2 (s. 663–669). Zagreb: Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia.
Kerzner, H. (2009). Project Management: A Systems Approach to Planning, Scheduling, and Controlling, Tenth Edition. Hoboken: Wiley.
Kerzner, H. (2017). Project Management Metrics, KPIs, and Dashboards: A Guide to Measuring and Monitoring Project Performance. Hoboken: John Wiley & Sons.
Kerzner, H. (2022). Project Management Metrics, KPIs, and Dashboards: A Guide to Measuring and Monitoring Project Performance, Fourth Edition. Hoboken: Wiley. DOI: 10.1002/9781119851592.
Klaus-Rosińska, A. (2019). Sukces projektów badawczych i badawczo-rozwojowych w sektorze nauki. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej.
Mesjasz-Lech, A., Grabowska, M., Grabińska, B., Grabiński, K, Trzpiot, G., Krężołek, D. M., Majewska, J., Twaróg, S. M., Zioło-Gwadera, K., Szwajlik, A., Masiarek, A. (2015). Zarządzanie projektem badawczym. Kraków: Uniwersytet Ekonomiczny w Krakowie.
OECD. (2018). Podręcznik Frascati 2015. Proponowane procedury standardowe dla badań statystycznych w zakresie działalności badawczo-rozwojowej. Główny Urząd Statystyczny (GUS).
Wysocki, R. K. (2018). Efektywne zarządzanie projektami. Wydanie VII. Gliwice: Onepress.
Ziuziański, P. (2014). Kokpit menedżerski jako efektywne narzędzie do wizualizacji danych w organizacji. W: Rola informatyki w naukach ekonomicznych i społecznych. Innowacje i implikacje interdyscyplinarne (s. 60–68), Z. E. Zieliński (red.). Kielce: Wydawnictwo Wyższej Szkoły Handlowej.
Warren, J. (2011). Key Performance Indicators (KPI) – Definition and Action (White Paper). London: ATI.
Artykuły naukowe
Agarwal, A., Durairajanayagam, D., Tatagari, S., Esteves, S. C., Harlev, A., Henkel, R., Roychoudhury, S., Homa, S., Puchalt, N. G., Ramasamy, R., Gosalvez, J., Bashiri, A. (2016). Bibliometrics:Tracking Research Impact by Selecting the Appropriate Metrics, Asian Journal of Andrology, 18 (2), s. 296–309. DOI: 10.4103/1008-682X.171582
Alami, A. (2016). Why Do Information Technology Projects Fail? Procedia Computer Science, 100, s. 62–71. DOI: 10.1016/j.procs.2016.09.124.
Cooper, L. (2010). CSF’s, KPI’s, Metrics, Outcomes and Benefits, The Workable, Practical Guide to Do IT Yourself, 6 (5), s. 1–4.
Forozandeha, M., Teimourya, E., Makui, A. (2018). Uncertain Supply Chain Management, Uncertain Supply Chain Management, 6 (4), s. 407–422.
Hauser, J. R., Zettelmeyer, F. (1997). Metrics to Evaluate R, D&E, Research Technology Management, 40 (4), s. 32–38. DOI: 10.1080/08956308.1997.11671140.
Machado, M. A., Magnier-Watanabe, R., Peltola, T. (2017). Capturing Knowledge from Research Projects: From Project Reports to Storytelling, PICMET 2016 – Portland International Conference on Management of Engineering and Technology: Technology Management for Social Innovation, Proceedings, s. 2048–2057. DOI: 0.1109/PICMET.2016.7806602.
Maimone, C. (2019). Good Enough Project Management Practices for Researcher Support Projects, ACM International Conference Proceeding Series, 38, s. 1–8. DOI: 10.1145/3332186. 3332198.
Rad, P. F., Levin, G. (2004). Characterizing Project Performance with Quantified Indices, AACE International Transactions, PM.07.8.
Rosen, R. (2003). Using Project Management Metrics as a Tool to Achieve Product Development Objectives. Medical Device and Diagnostic Industry, MAY. https://www.scopus.com/ inward/record.uri?eid=2‑s2.0-0350371022&partnerID=40&md5=b53c7d4a9d239e423bfe39045 b214f11
Ziuziański, P., Furmankiewicz, M. (2015). Rola kokpitu menedżerskiego w procesie podejmowania decyzji, Zeszyty Naukowe. Organizacja i Zarządzanie, 77, s. 311–321.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Studies and Work of the Collegium of Management and Finance
This work is licensed under a Creative Commons Attribution 4.0 International License.
