Abstract
Project success has been the subject of extensive research, but there exists a rather limited repertoire of results regarding project success assessment across the project life cycle, taking into account consecutive project stages. Here, we propose an approach to evaluate overall project success on the basis of the inputs and outputs of different project stages. The inputs and outputs may be fuzzy. Our proposal is a modification of the network Data Envelopment Analysis approach, which was originally developed to measure the relative efficiency of production units with an internal structure (production stages). This approach has its fuzzy versions, which allow the consideration of the hard-to-measure project inputs and outputs. An adequate model is described, and its application is illustrated with a computational example.
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Funding
The work of Dorota Kuchta was funded by the National Science Centre (Poland), grant number 484071, 2020/37/B/HS4/03125, Grant title: Non-parametric approaches for the performance measurement of units with complex internal structure. The work of Agata Klaus-Rosińska was funded by the National Science Centre (Poland), grant number 394311, 2017/27/B/HS4/01881 Grant title: Selected methods supporting project management, taking into consideration various stakeholder groups and using type-2 fuzzy numbers.
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Kuchta, D., Klaus-Rosińska, A. (2022). Fuzzy Network Data Envelopment Analysis in the Evaluation of Project Success Across the Project Life Cycle. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 504. Springer, Cham. https://doi.org/10.1007/978-3-031-09173-5_40
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DOI: https://doi.org/10.1007/978-3-031-09173-5_40
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