Evaluation of research performance of faculty members of Islamic Azad University, using Fuzzy Delphi method
الموضوعات :
Amir Khalili
1
(
Department of Educational Management, Faculty of Psychology and Educational
Sciences, Central Tehran Branch, Islamic Azad University
)
Fereshteh Kordestani
2
(
Department of Educational Management, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad university
)
Yalda Delgoshaei
3
(
Department of Educational Management, Faculty of Psychology and Educational
Sciences, Central Tehran Branch, Islamic Azad University
)
Ali Hosseini Khah
4
(
Kharazmi University
)
الکلمات المفتاحية: Thematic analysis, Islamic Azad University faculty members, Evaluating Research Performance, Performance Indicators of Creativity and Initiative, Fuzzy Delphi analysis,
ملخص المقالة :
In the organization of university units, the core of activities is the responsibility of faculty members and educational groups that are at the forefront of educational and research activities. Research performance impacts the sustainability and growth of the higher education system. The current study pursing the goal to represent the dimensions, components and indicators of creativity and initiative in order to evaluate the research performance of the faculty members of Tehran Islamic Azad University. The quantitative stage community consists of the experts of Tehran Islamic Azad University faculty members and 14 members of Higher Education, getting saturated with 10 ones. The qualitative stage data analysis was done using open coding, axial coding and selective coding with interviewing and Delphi technique. The qualitative stage induced results indicated the above dimensions and components consisting of nine dimensions, namely, research literacy, scientific factors, technical and information skills, methodological literacy, environmental factors, organizational factors, management factors, technological factors and personality traits. It is done this manner, in order to identify the dimensions, components and indicators of creativity and initiative, and the innovation of the research performance of the faculty members of the Islamic Azad University of Tehran, 9 dimensions, 25 components and 80 indicators were finally verified on the whole. The fuzzy Delphi analysis revealed that the experts had consensus on the detected dimensions, components and indicators. And the results displayed that the indicators of creativity and initiative are of personality traits components and included in the individual characteristics.
- 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.
