Abstract
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.
Highlights
Research and development (R&D) is an indicator of productivity, growth, and firms’ competition (Salimi & Rezaei, 2018)
– This paper develops some new indicators for evaluating R&D organizations that have not been paid attention in the previous studies (e.g., “the degree of satisfaction of researchers with their jobs in the organization” and “project operationalization rate”) and tries to go beyond the traditional indicators
This study develops a combined Data Envelopment Analysis (DEA)-Analytical Network Process (ANP) method to overcome some deficits in previous related studies, i.e. ordering and full-ranking problems caused by the DEA model and the whole hierarchy and subjective evaluations caused by the ANP method
Summary
Research and development (R&D) is an indicator of productivity, growth, and firms’ competition (Salimi & Rezaei, 2018). The role of R&D in creating economic value can be assessed by combining two factors: 1) the economic value produced by R&D achievements and 2) the value of the strategic infrastructure (Khoshnevis & Teirlinck, 2018). Employing a better performance evaluation model reflecting accurately the performance of various levels in an organization, including personnel, team, projects, departments, and the entire organization, is an essential task to achieve higher productivity and the growth and development of the organization (Chen et al, 2018). The efficiency of R&D organizations can be assessed by evaluating their relative performance (efficiency) (Gangopadhyay et al, 2018)
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