MCDM'17 - paper no. 2
MULTICRITERIA ANALYSIS OF THE SUCCESS OF RESEARCH PROJECTS
Barbara Gładysz, Dorota Kuchta
Abstract:
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.
Keywords:
research project, project success, Data Envelopment Analysis
Reference index:
Barbara Gładysz, Dorota Kuchta, (2017), MULTICRITERIA ANALYSIS OF THE SUCCESS OF RESEARCH PROJECTS, Multiple Criteria Decision Making (12), pp. 22-35
Full text:
download
This article is licensed under a Creative Commons Atribution- NonCommercial International License .