Evaluation of research performance of faculty members of Islamic Azad University, using Fuzzy Delphi method

Subject Areas : Decision Support Systems

Amir Khalili ¹ , Fereshteh Kordestani ² , Yalda Delgoshaei ³ , Ali Hosseini Khah ⁴

1 - Department of Educational Management, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad University
2 - Department of Educational Management, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad university
3 - Department of Educational Management, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad University
4 - Kharazmi University

Received: 2021-08-08 Accepted : 2021-11-27 Published : 2021-12-01

Keywords:

References:

- Al Shobaki, M. J., Abu-Naser, S. S., Salama, A. A., AlFerjany, A. A. M., & Amuna, Y. M. A. (2018). The Role of Measuring and Evaluating Performance in Achieving Control Objectives-Case Study of" Islamic University". International Journal of Engineering and Information Systems (IJEAIS), 2(1), 106-118.

- Alam, M., Islam, S., & Pandit, M. K. (2020). Faculty Evaluation using Fuzzy Numbers. Journal of Physical Sciences Vol.25, 31-38.

- Alemu, I. D., Abriham, A., & Shuma, S. (2021). Evaluating yield and related trait of Haricot Bean varieties at Dambi Dollo University Research Site, Ethiopia. Plant Science Today, 8(3), 669-673.

- Bland, C J; Center, D A; Finstad, K; Risbey; Staples, J G. (2005). A Theoretical, Practical, Predictive Model of Faculty and Department Research Productivity. Academic Medicine. 80(3). 225-237.

-  Camungao, R. (2020). Decision support system framework with kmeans algorithm for faculty performance evaluation rating. International Journal of Scientific & Technology Research, 9(03),
4085-4088.

- Chen, G., Yang, G., He, F., & Chen, K. (2019). Exploring the effect of political borders on university-industry collaborative research performance: Evidence from China’s Guangdong
province. Technovation, 82, 58-69.
- Eslami, Z., Hakimzadeh, R., Saboury, A. A., & Farzad, V. (2021). Identifying Effective Factors in the Assessment of Research Productivity of Faculty Members in the Humanities and Social Sciences (Case Study: University of Tehran). Journal of Management and Planning In Educational System, 13(2), 149-176.
- Fartash, K., Khayyatian Yazdi, M. S., Moradian, M., Saremi, M. S., & Mohseni Kiasari, M. (2020). A Framework for Evaluating Tarbiat Modares University Science and Technology Park Tenants Using Action Research Method. Journal of Technology Development Management, 8(3), 151-184.
- Ford, D. J. (2004). Evaluating performance improvement. Performance Improvement, 43(1), 36-41.
- Han, H. C., Wan, H. D., & Wang, X. (2020). Quantifying Engineering Faculty Performance Based on Expectations on Key Activities and Integration Using Flexible Weighting Factors. Journal of Biomechanical Engineering, 142(11), 1-9.
- Hornstein, H. A. (2017). Student evaluations of teaching are an inadequate assessment tool for evaluating faculty performance. Cogent Education, 4(1), 303-317.
- Jacob, B. A., Rockoff, J. E., Taylor, E. S., Lindy, B., & Rosen, R. (2018). Teacher applicant hiring and teacher performance: Evidence from DC public schools. Journal of Public Economics, 166, 81-97.
- Jain, P. (2020). K-Means Clustering on the Performance Evaluation of Faculty using Data Mining Techniques. International Research Journal on Advanced Science Hub, 2, 36-41.
- Kao, D. S., Appelbaum, N. P., Kates, S. L., & Domson, G. F. (2021). Surgery Resident Perceptions of the Clicker Evaluation System: A Novel Approach to Collecting and Utilizing Clinical Faculty Performance Data. Journal of Surgical Education, 78(1), 113-118.
- Kukko, M. (2013). Knowledge sharing barriers in organic growth: A case study from a software company. The Journal of High Technology Management Research, 24(1), 18-29.
- Lertputtarak, S. (2008). An Investigation of Factors Related to Research Productivity in a Public University in Thailand: A Case Study. Victoria University, Melbourne, Australia: A dissertation submitted in partial fulfilment of the requirements for the Degree of Doctor of Education, School.
-Moeinedini M., Raissi S., Khalili-Damghani K., (2018) A fuzzy fault tree analysis-based risk assessment approach for enterprise resource planning projects: A case study in an Iranian foodservice distributor, International Journal of Quality & Reliability Management 35 (5), 1115-
1141.
- Nematkhah F., Raissi S., Ghezavati V.R., (2017), An Integrated Fuzzy DEMATEL-Fuzzy ANP Approach to Nominate Diagnostic Method and Measuring Total Predictive Performance Score, Safety and Reliability, Taylor & Francis, Vol 37, Issue 1, 37-42, https://doi.org/10.1080/09617353.2017.1411676.
- Nourian R. , Meysam Mousavi S., Raissi S., (2019) A fuzzy expert system for mitigation of risks and effective control of gas pressure reduction stations with a real application, Journal of Loss Prevention in the Process Industries, Vol. 59, 77-90.
- Ponomareva, A. M., Zhumanova, M. H., Kolchugina, T. A., Solovieva, I. V., & Puchkova, E. E. (2021). Evaluating the Effectiveness of the University as Intellectual and Creative Organization. In Modern Global Economic System: Evolutional Development vs. Revolutionary Leap 11 (pp. 559-566). Springer International Publishing.
- Sanchez, T. w. (2017). Faculty Performance Evaluation Using Citation Analysis: An Update.  Journal of Planning Education and Research (37), 83-94.
- Sharifi Mohamamd Reza, Ghezavati VahidReza, Raissi Sadigh, Makui Ahmad, (2018) Integration of a new MCDM approach based on the DEA, FANP with MONLP for efficiency risk assessment to optimize project portfolio by branch and bound: A real case study, Economic Computation & Economic Cybernetics Studies & Research, Vol. 52, Issue 1.
- Tung, V. W. S., Law, R., & Chon, K. (2018). Changing proxies for evaluating research performance: What matters to university programme heads? Tourism Recreation Research, 43(3), 346-355.
- Xu, C. (2020). Towards a Framework for Evaluating the Research Performance of Chinese Double First-Class Universities. Frontiers of Education in China, 15(3), 369-402.
- Yang, E. B., Lee, T. S., & Cho, M. J. (2019). Current Status and Performance Evaluation Systems of Faculty in Korean Medical Schools. Korean Medical Education Review, 21(1), 41-50.
- Zhang, X., & Shi, W. (2019). Research about the university teaching performance evaluation under the data envelopment method. Cognitive Systems Research, 56, 108-115.