Multicriteria Analysis of the Success of Research Projects
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The present paper considers the problem of the success of a research project evaluated by its outputs (which can be seen as the project’s success measures) related to its inputs (constituting the project’s success factors). Data Envelopment Analysis (DEA) models are used. The inputs and outputs are selected on the basis of a review of the literature. Two models are applied to a set of research projects implemented in Poland. Advantages and disadvantages of the approach are shown. In particular, the selection of inputs, outputs and their weights needs to be researched further. But the models used in the paper, in spite of their imperfection and lack of generality, considerably help to assess and compare the projects. Therefore, DEA is an important tool for the evaluation of R&D activities.
- Betta J., Jastrzębska J., Frączkowski K., Gładysz B., Kuchta D., Prałat E., Ptaszyńska E., Rola P., Walecka-Jankowska K., Ropuszyńska-Surma E., Skomra A., Ryńca R., Klaus-Rosińska A., Mrzygłocka-Chojnacka J. (2017), Success and Failure Factors of R&D Projects at Universities in Poland and France, submitted to International Conference Business Risk in Changing Dynamics of Global Village April 26-27, 2017 at PWSZ in Nysa, Poland.
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