PERFORMANCE EVALUATION OF UNIVERSITY FACULTY BY COMBINING BSC, AHP, AND TOPSIS: FROM THE STUDENTS’ PERSPECTIVE
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Published
Aug 10, 2022
Nima Moradi
Abstract
Today, the university plays an important role in establishing a relationship between industry and academia by training a specialized workforce. Due to the important role of the university in the development of a country, evaluating the performance of the faculty or research centers of universities is one of the vital issues in the quality management of universities. In this paper, a performance evaluation method is presented for three faculty of a university located in Istanbul, Turkey (the name of university is kept in confidential due to the request of the university’s expert). The proposed method is based on the combination of Balanced Scorecard (BSC), Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). First, BSC and AHP are integrated, and then the strategies and measures are introduced for each perspective of BSC. Then, by implementing the TOPSIS method, a comprehensive performance evaluation approach was proposed and discussed with the university management. The proposed methodology was validated by a real case study based on the judgments of students and verified by sensitivity analysis. Finally, several managerial insights, conclusions, and suggestions for future studies are presented.
How to Cite
Moradi, N. (2022). PERFORMANCE EVALUATION OF UNIVERSITY FACULTY BY COMBINING BSC, AHP, AND TOPSIS: FROM THE STUDENTS’ PERSPECTIVE. International Journal of the Analytic Hierarchy Process, 14(2). https://doi.org/10.13033/ijahp.v14i2.915
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Keywords
university performance evaluation, BSC, AHP, TOPSIS
References
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Aly, M., Attia, H., & Mohammed, A. M. (2014). Prioritizing faculty of engineering education performance by using AHP-TOPSIS and Balanced Scorecard Approach. International Journal of Engineering Science and Innovative Technology, 3(1), 11-23. D
Anuforo, P. U., Ayoup, H., Mustapha, U. A., & Abubakar, A. H. (2019). The Implementation of Balance Scorecard and its impact on performance: Case of Universiti Utara Malaysia. International Journal of Accounting & Finance Review, 4(1), 1-16. Doi: https://doi.org/10.46281/ijafr.v4i1.226
Aslam, H. D. (2011). Performance evaluation of teachers in universities: Contemporary issues and challenges. Journal of Educational and Social Research, 1(2), 11-11.
Azar, A., Olfat, L., Khosravani, F., & Jalali, R. (2011). A BSC method for supplier selection strategy using TOPSIS and VIKOR: A case study of part maker industry. Management Science Letters, 1(4), 559-568. Doi: https://doi.org/10.5267/j.msl.2011.05.005
Ban, A. I., Ban, O. I., Bogdan, V., Popa, D. C. S., & Tuse, D. (2020). Performance evaluation model of Romanian manufacturing listed companies by fuzzy AHP and TOPSIS. Technological and Economic Development of Economy, 1-29. Doi: https://doi.org/10.3846/tede.2020.12367
Beard, D. F. (2009). Successful applications of the balanced scorecard in higher education. Journal of Education for Business, 84(5), 275-282. Doi: https://doi.org/10.3200/joeb.84.5.275-282
Bentes, A. V., Carneiro, J., da Silva, J. F., & Kimura, H. (2012). Multidimensional assessment of organizational performance: Integrating BSC and AHP. Journal of Business Research, 65(12), 1790-1799. Doi: https://doi.org/10.1016/j.jbusres.2011.10.039
Bhutia, P. W., & Phipon, R. (2012). Application of AHP and TOPSIS method for supplier selection problem. IOSR Journal of Engineering, 2(10), 43-50. Doi: https://doi.org/10.9790/3021-021034350
Chatterjee, P., & Stević, Ž. (2019). A two-phase fuzzy AHP-fuzzy TOPSIS model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, 2(1), 72-90.
Chen, S. H., Yang, C. C., & Shiau, J. Y. (2006). The application of balanced scorecard in the performance evaluation of higher education. The TQM magazine. Doi: https://doi.org/10.1108/09544780610647892
Chou, Y.-C., Yen, H.-Y., Dang, V. T., & Sun, C.-C. (2019). Assessing the human resource in science and technology for Asian countries: Application of fuzzy AHP and fuzzy TOPSIS. Symmetry, 11(2), 251. Doi: https://doi.org/10.3390/sym11020251
Cugini, A., & Michelon, G. (2007). Performance evaluation in research departments: from the Balanced Scorecard to the Strategy Map. Paper presented at the 4th conference on performance measurement and management control, Measuring and rewarding performance, Nice France September.
Doh, B. T. S. (2015). Evaluating the strategic objectives of Cameroonian higher education: An application of the Balanced Scorecard. Doctoral dissertation. Research Unit for the Sociology of Education.
Ertuğrul, İ., & Karakaşoğlu, N. (2008). Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. The International Journal of Advanced Manufacturing Technology, 39(7-8), 783-795. Doi: https://doi.org/10.1007/s00170-007-1249-8
Ertuğrul, İ., & Karakaşoğlu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36(1), 702-715. Doi: https://doi.org/10.1016/j.eswa.2007.10.014
Fallah Shams Lialestanei, M., Raji, R., & Khajeh Poor, K. P. (2013). Performance evaluation by using hybrid method: BSC, TOPSIS and AHP. Industrial Management Journal, 5(1), 81-100.
Farid, D., Nejati, M., & Mirfakhredini, H. (2008). Balanced Scorecard application inuniversities and higher education institutes: Implemntation guide in an Iranian context. Annals of the University of Bucarest, the Economic & Administrative Series, 2.
Gamal, A., & Soemantri, A. I. (2017). The effect of balanced scorecard on the private college performance (Case study at the University of WR Supratman Surabaya). Archives of Business Research, 5(5). Doi: https://doi.org/10.14738/abr.55.3093
Graham, G., Freeman, J., & Chen, T. (2015). Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Management: An International Journal, 20(3), 327-340. Doi: https://doi.org/10.1108/scm-04-2014-0142
Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36(2), 4067-4074. Doi: https://doi.org/10.1016/j.eswa.2008.03.013
Guru, S., & Mahalik, D. (2019). A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis. OPSEARCH, 56(4), 1213-1239. Doi: https://doi.org/10.1007/s12597-019-00411-1
Hájek, P., Stříteská, M., & Prokop, V. (2018). Integrating balanced scorecard and fuzzy TOPSIS for innovation performance evaluation. PACIS 2018 Proceedings.
Hwang, C.-L., Lai, Y.-J., & Liu, T.-Y. (1993). A new approach for multiple objective decision making. Computers & operations research, 20(8), 889-899.
Hwang, C.-L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191): Springer. Doi: https://doi.org/10.1016/0305-0548(93)90109-v
Ilyasin, M. (2017). Balanced Scorecard: A strategy for the quality improvement of Islamic higher education. Dinamika Ilmu, 17(2), 223-236. Doi: https://doi.org/10.21093/di.v17i2.703
Job, M. A. (2018). An efficient way of applying big data analytics in higher education sector for performance evaluation. International Journal of Computer Applications, 180(23), 25-32. Doi: https://doi.org/10.5120/ijca2018916434
Kaplan, R. S., & Norton, D. P. (1996). Linking the balanced scorecard to strategy. California Management Review, 39(1), 53-79. Doi: https://doi.org/10.2307/41165876
Kaplan, R. S., & Norton, D. P. (2001). Transforming the balanced scorecard from performance measurement to strategic management: Part 1. Accounting Horizons, 15(1), 87-104. Doi: https://doi.org/10.2308/acch.2001.15.1.87
Kaplan, R. S., & Norton, D. P. (2015). Balanced Scorecard Success: The Kaplan-Norton Collection (4 Books): Harvard Business Review Press.
Lee, A. H., Chen, W.-C., & Chang, C.-J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications, 34(1), 96-107. Doi: https://doi.org/10.1016/j.eswa.2006.08.022
Majidi, S., Fallah Lajimi, H., & Safaei Ghadikolaei, A. (2021). The application of Data Envelopment Analysis in evaluating the performance of universities and higher education institutions: A systematic review of the literature. Journal of Industrial Management Perspective, 11, 53-80.
Manian, A., Fathi, M. R., Zarchi, M. K., & Omidian, A. (2011). Performance evaluating of IT department using a modified Fuzzy TOPSIS and BSC methodology (Case study: Tehran Province Gas Company). Journal of Management Research, 3(2), 1. Doi: https://doi.org/10.5296/jmr.v3i2.640
Mizikaci, F. (2003). Quality systems and accredition in higher education: An overview of Turkish higher education. Quality in Higher Education, 9(1), 95-106.Doi: https://doi.org/10.1080/13538320308160
Moradi, N., Malekmohammad, H., & Jamalzadeh, S. (2018). A model for performance evaluation of digital game industry using integrated AHP and BSC. Journal of Applied Research on Industrial Engineering, 5(2), 97-109.
Moradi, N., & Moradi, S. (2021). A method for project performance evaluation by combining the project golden triangle, BSC, AHP, and TOPSIS. International Journal of Supply and Operations Management, 8(1), 81-95.
Mu, E., Cooper, O., & Peasley, M. (2020). Best practices in analytic network process studies. Expert Systems with Applications, 159, 113536. Doi: https://doi.org/10.1016/j.eswa.2020.113536
Mu, E., & Nicola, C. B. (2019). Managing university rank and tenure decisions using a multi-criteria decision-making approach. International Journal of Business and Systems Research, 13(3), 297-320. Doi: https://doi.org/10.1504/ijbsr.2019.100374
Mu, E., & Pereyra-Rojas, M. (2017). Understanding the analytic hierarchy process. In Practical Decision Making (pp. 7-22): Springer.Doi: https://doi.org/10.1007/978-3-319-33861-3_2
Navas, L. P., Montes, F., Abolghasem, S., Salas, R. J., Toloo, M., & Zarama, R. (2020). Colombian higher education institutions evaluation. Socio-Economic Planning Sciences, 71, 100801. Doi: https://doi.org/10.1016/j.seps.2020.100801
Nazari-Shirkouhi, S., Mousakhani, S., Tavakoli, M., Dalvand, M. R., Šaparauskas, J., & Antuchevičienė, J. (2020). Importance-performance analysis based balanced scorecard for performance evaluation in higher education institutions: an integrated fuzzy approach. Journal of Business Economics and Management, 21(3), 647-678. Doi: https://doi.org/10.3846/jbem.2020.11940
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