Developing an integrated model for evaluating R&D organizations’ performance: combination of DEA-ANP

• Main Authors: Hoseini, S. A., Fallahpour, A., Wong, K. W.
• Format: Article
• Language: English
• Published: VGTU 2021
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/95264/1/AlirezaFallahpour2021_DevelopinganIntegratedModel.pdf; http://eprints.utm.my/id/eprint/95264/; http://dx.doi.org/10.3846/tede.2021.15144

Assessing the performance of the Research and development (R&D) organizations to achieve higher productivity, growth, and development is always a critical necessity. Therefore, developing a more accurate model to evaluate the performance is always required. For this purpose, this study is aimed at developing a decision-making model for evaluating R&D performance. The model comes up with determining the most proper evaluative criteria for assessing R&D organizations. Then, it integrates Data Envelopment Analysis (DEA) with Analytical Network Process (ANP) to assess R&D performance. This paper is aimed to develop an integrated model for evaluating R&D performance. The findings of the study show that the DEA-ANP model is an accurate and acceptable model for evaluating R&D organizations’ performance.