Avaliação de desempenho e análise importância-desempenho de universidades baseada no BSC-AHP em ambiente fuzzy
DOI:
https://doi.org/10.14571/brajets.v18.n2.487-503Palavras-chave:
Educação Superior, Avaliação de Desempenho, Processo de Análise Hierárquica Fuzzy, Cartão de Pontuação BalanceadoResumo
Cartão de Pontuação Balanceado (BSC), abrangendo as perspectivas Financeira, Cliente, Processos Internos e Aprendizado e Crescimento, é uma abordagem vital para a avaliação do desempenho estratégico em instituições educacionais. No entanto, a pesquisa que aborda incertezas na tomada de decisão nesse contexto permanece escassa. Este estudo busca preencher essa lacuna ao integrar o Processo Analítico Hierárquico Fuzzy (AHP) com o BSC para quantificar efetivamente os pesos de vários critérios e subcritérios relevantes à avaliação de desempenho universitário. Por meio de uma revisão abrangente da literatura e consultas com especialistas, foram identificados indicadores-chave de desempenho específicos para instituições de ensino superior. A pesquisa analisa ainda a relevância relativa desses indicadores nas perspectivas do BSC e avalia a situação atual de desempenho de universidades selecionadas. Além disso, uma análise de importância-desempenho e visualização por meio de gráfico radar são empregadas como ferramentas de inteligência de negócios para ilustrar os pontos fortes e fracos das instituições, destacando oportunidades para possíveis melhorias.
Referências
Agarwal, J., Askarian, S., Bucks, G., & Murphy, T. (2022, August). State of evaluating the effectiveness of teaching development programs for students in engineering. In 2022 ASEE Annual Conference & Exposition.
Al-Filali, I. Y., Abdulaal, R. M., Alawi, S. M., & Makki, A. A. (2024). Modification of strategic planning tools for planning financial sustainability in higher education institutions. Journal of Engineering Research, 12(1), 192-203. DOI: https://doi.org/10.1016/j.jer.2023.11.015
Alharafsheh, M., Harahsheh, A., Lehyeh, S. A., & Alrawashedh, N. (2021). The impact of entrepreneurs characteristics of private jordanian universities leaders on strategic performance: The mediating role of strategic planning. International Journal of Scientific & Technology Research, 10(1), 299-309.
Alipour, N., Nazari-Shirkouhi, S., Sangari, M. S., & Vandchali, H. R. (2022). Lean, agile, resilient, and green human resource management: the impact on organizational innovation and organizational performance. Environmental Science and Pollution Research, 29(55), 82812-82826. DOI: https://doi.org/10.1007/s11356-022-21576-1
Azadeh, A., Nazari-Shirkouhi, S., Hatami-Shirkouhi, L., & Ansarinejad, A. (2011). A unique fuzzy multi-criteria decision making: computer simulation approach for productive operators’ assignment in cellular manufacturing systems with uncertainty and vagueness. The International Journal of Advanced Manufacturing Technology, 56, 329-343. DOI: https://doi.org/10.1007/s00170-011-3186-9
Azadeh, A., Shirkouhi, S. N., & Rezaie, K. (2010). A robust decision-making methodology for evaluation and selection of simulation software package. The International Journal of Advanced Manufacturing Technology, 47, 381-393. DOI: https://doi.org/10.1007/s00170-009-2205-6
Azimi Asmaroud, S. (2022). Preservice Elementary Teachers’ Categorical Reasoning and Knowledge Transfer on Definition Tasks With Two Dimensional Figures. Theses and Dissertations. 1588. https://ir.library.illinoisstate.edu/etd/1588
Banker, R., Datar, S. (1989). Sensitivity, precision and linear aggregation of signals for performance evaluation. Journal of Accounting Research, 27, 21–39. DOI: https://doi.org/10.2307/2491205
Bugrov, V., Sitnicki, M. W., & Serbin, O. (2021). Strategic management of creative industries: A case study of university information institutions. Problems and Perspectives in Management, 19(2), 453. DOI: https://doi.org/10.21511/ppm.19(2).2021.36
Camilleri, M. A. (2021). Using the balanced scorecard as a performance management tool in higher education. Management in Education, 35(1), 10-21. DOI: https://doi.org/10.1177/0892020620921412
Chen, S-H., Wang, H-H., Yang, K-J., (2009) Establishment and application of performance measure indicators for universities. The TQM Magazine, 21(3), 220-235. DOI: https://doi.org/10.1108/17542730910953004
Chinta, R., Kebritchi, M., & Ellias, J. (2016). A conceptual framework for evaluating higher education institutions. International Journal of Educational Management, 30(6), 989-1002. DOI: https://doi.org/10.1108/IJEM-09-2015-0120
Darvishinia, N. (2023). AI in Education: Cracking the Code Through Challenges: A Content Analysis of one of the recent Issues of Educational Technology and Society (ET&S) Journal. Partners Universal International Innovation Journal, 1(4), 61-71.
De Jesus Alvares Mendes Junior, I., & Alves, M. D. C. (2023). The balanced scorecard in the education sector: A literature review. Cogent Education, 10(1), 2160120. DOI: https://doi.org/10.1080/2331186X.2022.2160120
Eason, K., Gaskins, W., Guy, B., Martin, S., & Askarian, S. (2023). We Lose the Game Before We Start to Play: How Black Women Make Meaning of Their Experiences in Engineering Education. Journal of Black Excellence in Engineering, Science, & Technology, 1, 1-21.
Enache, M. J., Spac, C. T., & Capatina, A. (2021). Tracking Key Performance Indicators within Educational Institutions: The Balanced Scorecard Approach. Annals of the University Dunarea de Jos of Galati: Fascicle: I, Economics & Applied Informatics, 27(1). DOI: https://doi.org/10.35219/eai15840409161
Fathi, S., Bahrami, J., Momeni, S., Seyedrezaei, M., & Javidi Sabbaghian, R. (2025). A Multi-Criteria Framework for Water Resource Management: Combining WEAP and TOPSIS for Optimal Solutions. Advances in Civil Engineering and Environmental Science, 2(1), 79-91. https://doi.org/10.22034/acees.2025.484672.1011
Garrido-Moreno, A., Martín-Rojas, R., & García-Morales, V. J. (2024). The key role of innovation and organizational resilience in improving business performance: A mixed-methods approach. International Journal of Information Management, 77, 102777. DOI: https://doi.org/10.1016/j.ijinfomgt.2024.102777
Izadian, N., Sanaei, F., Sadeghi, S., Khorsand, M. S., & Shakerinasab, N. (2024). Market reactions to capital increases: Insights from asset revaluation in pharmaceutical companies on the stock exchange, World Journal of Advanced Research and Reviews, 23(02), 2486–2497. https://doi.org/10.30574/wjarr.2024.23.2.2487 DOI: https://doi.org/10.30574/wjarr.2024.23.2.2487
Kaplan, R.S. and Norton, D.P. (1996) The balanced scorecard: translating strategy into action, Harvard Business School Press, Boston, MA.
Karizaki, M. S., Gnesdilow, D., Puntambekar, S., & Passonneau, R. J. (2024, July). How Well Can You Articulate that Idea? Insights from Automated Formative Assessment. In International Conference on Artificial Intelligence in Education (pp. 225-233). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-64299-9_16 DOI: https://doi.org/10.1007/978-3-031-64299-9_16
Keramati, A., Samadi, H., & Nazari-Shirkouhi, S. (2013). Managing risk in information technology outsourcing: an approach for analysing and prioritising using fuzzy analytical network process. International Journal of Business Information Systems, 12(2), 210-242. DOI: https://doi.org/10.1504/IJBIS.2013.052052
Kiriri, P. N. (2022). Management of performance in higher education institutions: The application of the balanced scorecard (BSC). European Journal of Education, 5(1), 141-154. DOI: https://doi.org/10.26417/158crg70k
Laarhoven, P.I.M., Pedrycz, W. (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems 11, 229-241. DOI: https://doi.org/10.1016/S0165-0114(83)80082-7
Lin, S. W., & Lo, H. W. (2023). An FMEA model for risk assessment of university sustainability: using a combined ITARA with TOPSIS-AL approach based neutrosophic sets. Annals of Operations Research, 1-27. DOI: https://doi.org/10.1007/s10479-023-05250-4
Liou, T. S., & Wang, M. J. (1992). Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems, 50(3), 247–255. DOI: https://doi.org/10.1016/0165-0114(92)90223-Q
Makki, A. A., Alqahtani, A. Y., Abdulaal, R. M., & Madbouly, A. I. (2023). A novel strategic approach to evaluating higher education quality standards in University Colleges using multi-criteria decision-making. Education Sciences, 13(6), 577. DOI: https://doi.org/10.3390/educsci13060577
Martilla, J.A., James, J.C. (1977) Importance-performance analysis, Journal of Marketing, 41, 77-79. DOI: https://doi.org/10.1177/002224297704100112
Nasiri, S., Shahabi, S., Shafiesabet, A., Talebbeidokhti, M., & Behineh, E. A. Cybersecurity in Action: Unraveling the Effects of Individual, Social, and Organizational Determinants. Tehnički glasnik, 20(2),1-10, https://doi.org/10.31803/tg-20240627004731
Nazari-Shirkouhi, S., Ansarinejad, A., Miri-Nargesi, S. S., Dalfard, V. M., & Rezaie, K. (2011). Information systems outsourcing decisions under fuzzy group decision making approach. International Journal of Information Technology & Decision Making, 10(06), 989-1022. DOI: https://doi.org/10.1142/S0219622011004683
Nazari-Shirkouhi, S., Miri-Nargesi, S., & Ansarinejad, A. (2017). A fuzzy decision making methodology based on fuzzy AHP and fuzzy TOPSIS with a case study for information systems outsourcing decisions. Journal of Intelligent & Fuzzy Systems, 32(6), 3921-3943. DOI: https://doi.org/10.3233/JIFS-12495
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
Nazari-Shirkouhi, S., Tavakoli, M., Govindan, K., & Mousakhani, S. (2023). A hybrid approach using Z-number DEA model and Artificial Neural Network for Resilient supplier Selection. Expert Systems with Applications, 222, 119746. DOI: https://doi.org/10.1016/j.eswa.2023.119746
Niven, P.R. (2002) Balanced scorecard step by step, Wiley, New York, NY.
Oliveira, C., Oliveira, A., Fijałkowska, J., & Silva, R. (2021). Implementation of balanced scorecard: Case study of a Portuguese higher education institution. Management: Journal of Contemporary Management Issues, 26(1), 169-188. DOI: https://doi.org/10.30924/mjcmi.26.1.10
Palaniappan, U., Suganthi, L., & Shagirbasha, S. (2021). Building a yardstick–a benchmark framework for assessing higher education management institutions. Benchmarking: An International Journal, 28(8), 2382-2406. DOI: https://doi.org/10.1108/BIJ-07-2020-0383
Petrudi, S. H. H., Ghomi, H., & Mazaheriasad, M. (2022). An Integrated Fuzzy Delphi and Best Worst Method (BWM) for performance measurement in higher education. Decision Analytics Journal, 4, 100121. DOI: https://doi.org/10.1016/j.dajour.2022.100121
Pietrzak, M. (2021). The application of a balanced scorecard in higher education institutions: A case study of wuls. Handbook of operations research and management science in higher education, 419-451. DOI: https://doi.org/10.1007/978-3-030-74051-1_14
Rezaei, P., Rezaie, K., Nazari-Shirkouhi, S., & Tajabadi, M. R. J. (2013). Application of fuzzy multi-criteria decision making analysis for evaluating and selecting the best location for construction of underground dam. Acta Polytechnica Hungarica, 10(7), 187-205. DOI: https://doi.org/10.12700/APH.10.07.2013.7.13
Rezaie, K., Ramiyani, S. S., Nazari-Shirkouhi, S., & Badizadeh, A. (2014). Evaluating performance of Iranian cement firms using an integrated fuzzy AHP–VIKOR method. Applied Mathematical Modelling, 38(21-22), 5033-5046. DOI: https://doi.org/10.1016/j.apm.2014.04.003
Roshdieh, N. (2024). The Effect of Monetary Policy Uncertainty on Stock Market Uncertainty with NARDL Approach. Research Journal of Finance and Accounting, 15(10), 1-9. DOI: https://doi.org/10.2139/ssrn.5110149
Rošulj, D., & Petrović, D. (2020). Performance indicators and the possibility of application of balanced scorecard in higher education institutions. Megatrend revija, 17(1), 109-128. DOI: https://doi.org/10.5937/MegRev2001109R
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill. DOI: https://doi.org/10.21236/ADA214804
Sadeghi, S., & Niu, C. (2024). Augmenting Human Decision-Making in K-12 Education: The Role of Artificial Intelligence in Assisting the Recruitment and Retention of Teachers of Color for Enhanced Diversity and Inclusivity. Leadership and Policy in Schools, 1-21. DOI: https://doi.org/10.1080/15700763.2024.2358303
Saremi, Y., Aghaei, M., Esfid, M. R., Hasangholipour, T., & Ansari, M. (2024). Providing Digital Marketing Model with Customer Participation Approach with intervening role of knowledge management. International Journal of Knowledge Processing Studies, 4(2), 148-167. https://doi.org/10.22034/kps.2023.410230.1154
Sauri, R. S., Usanto, S., Sucahyo, N., & Sopian, A. (2023). Implementation of The Balanced Scorecard Method in Determining Performance Measures in Higher Education Institutions (Case Study: ITB Swadharma). EduLine: Journal of Education and Learning Innovation, 3(3), 328-338. DOI: https://doi.org/10.35877/454RI.eduline1867
Sharaf-Addin, H. H., & Fazel, H. (2021). Balanced scorecard development as a performance management system in Saudi Public Universities: a case study approach. Asia-Pacific journal of management research and innovation, 17(1-2), 57-70. DOI: https://doi.org/10.1177/2319510X211048591
Tavana, M., Nazari-Shirkouhi, S., & Farzaneh Kholghabad, H. (2021). An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis. Health care management science, 24, 768-785. DOI: https://doi.org/10.1007/s10729-021-09550-8
Wu, H-Y., Lin, Y-K., Chang, C-H. (2011) Performance evaluation of extension education centers in universities based on the balanced scorecard. Evaluation and Program Planning 34: 37-50. DOI: https://doi.org/10.1016/j.evalprogplan.2010.06.001
Wu, L., & Li, M. (2024) Application of Balanced Scorecard in Performance Evaluation of Educational Management. Applied Mathematics and Nonlinear Sciences, 9(1). DOI: https://doi.org/10.2478/amns-2024-1118
Wu, Y., Li, C. (2009) Research on performance evaluation of higher education based on the model of BSC-DRF-DEA. In proceedings of 16th International Conference on Industrial Engineering and Engineering Management, Beijing, China, 2009. DOI: https://doi.org/10.1109/ICIEEM.2009.5344267
Yazdi, M. R. T., Mozaffari, M. M., Nazari-Shirkouhi, S., & Asadzadeh, S. M. (2018). Integrated fuzzy DEA-ANFIS to measure the success effect of human resource spirituality. Cybernetics and Systems, 49(3), 151-169. DOI: https://doi.org/10.1080/01969722.2018.1448221
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2025 Sara Talebzadeh, Elmira Alvandi Behineh, Marjan Masoomifard, Munes Taheri, Shayegan Shakeri Nasab
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License. A revista segue a política para Periódicos de Acesso Livre, oferecendo acesso livre, imediato e gratuito ao seu conteúdo, seguindo o princípio de que disponibilizar gratuitamente o conhecimento científico ao público proporciona mais democratização internacional do conhecimento. Por isso, não se aplica taxas, sejam elas para submissão, avaliação, publicação, visualização ou downloads dos artigos. Além disso, a revista segue a licença Creative Common (CC BY) permitindo qualquer divulgação do artigo, desde que sejam referenciados o artigo original. Neste sentido, os autores que publicam nesta revista concordam com os seguintes termos: A) Os autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Creative Commons Attribution License (CC BY), permitindo o compartilhamento do trabalho com reconhecimento da autoria do trabalho e publicação inicial nesta revista. B) Autores têm autorização para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional e não institucional, bem como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista. C) Autores sãoo estimulados a publicar e distribuir seu trabalho online (ex.: repositórios online ou na sua página pessoal), bem como aumentar o impacto e a citação do trabalho publicado.
