An Integrated Fuzzy Delphi and Best Worst Method (BWM) for performance measurement in higher education
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Nazari-Shirkouhi, 2020, Importance-performance analysis based balanced scorecard for performance evaluation in higher education institutions: an integrated fuzzy approach, J. Bus. Econ. Manage., 21, 647, 10.3846/jbem.2020.11940
Tin, 2022, DEA for measuring the performance of higher education sector: A case study of myanmar
Lazić, 2021, Improvement of quality of higher education institutions as a basis for improvement of quality of life, Sustainability, 13, 4149, 10.3390/su13084149
O.I. Ramzi, A.V. Subbarayalu, N.K. Al-Kahtani, A. Al Kuwaiti, T.M. Alanzi, A. Alaskar, S. Prabaharan, V. Raman, M.S.M. Gibreel, N.S. Alameri, Factors influencing service quality performance of a Saudi higher education institution: Public health program students’ perspectives. 28. 2022, pp. 100841.
Jayamohan, 2022, Development of a tool for measuring performance of higher educational institutions by applying six sigma methodology in teaching-learning process, Int. J. Mech. Eng., 6, 3525
Das, 2012, A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology, Soc.-Econ. Plann. Sci., 46, 230, 10.1016/j.seps.2011.12.001
Leišyte, 2022, Performance management under surveillance capitalism in higher education
Johnes, 2006, Data envelopment analysis and its application to the measurement of efficiency in higher education, Econ. Educ. Rev., 25, 273, 10.1016/j.econedurev.2005.02.005
S. Srivastava, G. Prakash, R.J.B.P. Gauba, Research, Modelling Teachers Accountability in the Higher Educational Institutions Using Decision-making Trial and Evaluation Laboratory Approach. 10 (1) 2022, pp. 164-184.
A. Tahar, H. Sofyani, E.N. Arisanti, F.A Amalia, Maintaining higher education institution performance amid the covid-19 pandemic: The role of it governance, it capability and process agility. 10 (1) 2022, pp. 45-61.
Klein, 2022
Vinajera-Zamora, 2022, Framework and analysis of key performance indicators in Cuban higher education, J. Hispanic High. Educ., 10.1177/15381927221074505
Plummer, 2021, The issue of performance in higher education institution - community partnerships: A Canadian perspective, J. Higher Educ. Policy Manage., 1
Chen, 2006, The application of balanced scorecard in the performance evaluation of higher education, TQM Mag., 18, 190, 10.1108/09544780610647892
Camilleri, 2020, Using the balanced scorecard as a performance management tool in higher education, Manage. Educ., 35, 10, 10.1177/0892020620921412
Asif, 2013, Developing measures for performance excellence: is the baldrige criteria sufficient for performance excellence in higher education?, Qual. Quant., 47, 3095, 10.1007/s11135-012-9706-3
Asif, 2014, A composite index for measuring performance in higher education institutions, Int. J. Qual. Reliab. Manage., 31, 983, 10.1108/IJQRM-02-2013-0023
Asif, 2014, Determining the key capabilities required for performance excellence in higher education, Total Qual. Manage. Bus. Excell., 25, 22, 10.1080/14783363.2013.807676
Ramasamy, 2016, Development of a hybrid BSC-AHP model for institutions in higher education, Int. J. Enterp. Netw. Manage., 7, 13
Thanassoulis, 2017, Evaluating higher education teaching performance using combined analytic hierarchy process and data envelopment analysis, J. Oper. Res. Soc., 68, 431, 10.1057/s41274-016-0165-4
Cosenz, 2022
Rezaei, 2015, Best-worst multi-criteria decision-making method, Omega, 53, 49, 10.1016/j.omega.2014.11.009
Rezaei, 2015, Best-worst multi-criteria decision-making method, Omega, 53, 49, 10.1016/j.omega.2014.11.009
F. Goodarzi, V. Abdollahzadeh, M.J.D.A.J. Zeinalnezhad, An integrated multi-criteria decision-making and multi-objective optimization framework for green supplier evaluation and optimal order allocation under uncertainty. 4. 2022, pp. 100087.
Bhagat, 2022, A review of quality improvement in higher education institutions through IQAC, Gradiva Rev. J., 8, 377
Rodríguez-Castro, 2021, Introducing a functional framework for integrating the empirical evidence about higher education institutions’ functions and capabilities: A literature review, J. Entrepreneurship, Manage. Innov., 17, 231, 10.7341/20211718
Chen, 2012, An Inno-Qual performance system for higher education, Scientometrics, 93, 1119, 10.1007/s11192-012-0759-9
Myroslava, 2015, Balanced scorecard – a strategic management system of the higher education institution, Int. J. Educ. Manage., 29, 167, 10.1108/IJEM-11-2013-0164
Alach, 2016, Performance measurement and accountability in higher education: the puzzle of qualification completions, Tert. Educ. Manag., 22, 36, 10.1080/13583883.2015.1122828
Sahney, 2016, A comparative assessment of the performance of select higher education institutes in India, Qual. Assur. Educ., 24, 278, 10.1108/QAE-02-2015-0006
Slamet, 2022, Performance measurement of public service agency in higher education institutions: A balanced-scorecard model approach, ULUL ALBAB J. Studi Islam., 23, 152
Lindsay, 1981, Assessing institutional performance in higher education: a managerial perspective, Higher Educ., 10, 687, 10.1007/BF01676865
Johnes, 2008, Measuring the research performance of Chinese higher education institutions using data envelopment analysis, China Econ. Rev., 19, 679, 10.1016/j.chieco.2008.08.004
Leiber, 2019, A general theory of learning and teaching and a related comprehensive set of performance indicators for higher education institutions, Qual. Higher Educ., 25, 76, 10.1080/13538322.2019.1594030
Witte, 2017, Efficiency in education: a review of literature and a way forward, J. Oper. Res. Soc., 68, 339, 10.1057/jors.2015.92
Camilleri, 2021, Evaluating service quality and performance of higher education institutions: a systematic review and a post-COVID-19 outlook, Int. J. Qual. Serv. Sci.
Camilleri, 2021, Using the balanced scorecard as a performance management tool in higher education, Manage. Educ., 35, 10, 10.1177/0892020620921412
Cave, 1997
1995
Elsworth, 1994, Confronting the biases in connoisseur review and performance indicators in higher education: A structural modelling approach, Higher Educ., 27, 163, 10.1007/BF01384087
Martín, 2006, Efficiency and Quality in the Current Higher Education Context in Europe: an application of the data envelopment analysis methodology to performance assessment of departments within the University of Zaragoza, Qual. Higher Educ., 12, 57, 10.1080/13538320600685172
Warning, 2004, Performance differences in german higher education: Empirical analysis of strategic groups, Rev. Ind. Org., 24, 393, 10.1023/B:REIO.0000037538.48594.2c
Cave, 1989, Performance measurement in higher education, Public Money Manage., 9, 11, 10.1080/09540968909387519
Nazarko, 2014, Application of DEA method in efficiency evaluation of public higher education institutions, Technol. Econ. Dev. Econ., 20, 25, 10.3846/20294913.2014.837116
Jarratt, 1985
Tochkov, 2012, University efficiency and public funding for higher education in Bulgaria, Post-Communist Econ., 24, 517, 10.1080/14631377.2012.729306
Kao, 2008, Efficiency analysis of university departments: An empirical study, Omega, 36, 653, 10.1016/j.omega.2006.02.003
Ball, 1987, Performance indicators in higher education, Higher Educ., 16, 393, 10.1007/BF00129112
Wolszczak-Derlacz, 2011, Efficiency of European public higher education institutions: a two-stage multicountry approach, Scientometrics, 89, 887, 10.1007/s11192-011-0484-9
Al Jardali, 2020, Performance management systems in Lebanese private higher education institutions: design and implementation challenges, High. Educ., Ski. Work-B. Learn.
Carlson, 1972
Johnes, 2008, Efficiency and productivity change in the english higher education sector from 1996/97 to 2004/5*, Manch. Sch., 76, 653, 10.1111/j.1467-9957.2008.01087.x
Mourato, 2019, Strategic priorities of portuguese higher education institutions, Stud. Higher Educ., 46, 1
Hanushek, 2020, Education production functions, 161
D. Das, R.K. Sharma, P. Saikia, D.J.D.A.J. Rakshit, An integrated entropy-based multi-attribute decision-making model for phase change material selection and passive thermal management. 1, 2021, pp. 100011.
S.J.D.A.J. Chakraborty, TOPSIS and Modified TOPSIS: A comparative analysis. 2. 2022, pp. 100021.
Badri, 2004, Awards of excellence in institutions of higher education: an AHP approach, Int. J. Edu. Manage., 18, 224
Chen, 2010, Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education, Exp. Syst. Appl., 37, 1981, 10.1016/j.eswa.2009.06.079
Chen, 2012, A revised Inno-Qual performance system for higher education: the integrated applications of DEMATEL and ANP, J. Oper. Res. Soc., 63, 478, 10.1057/jors.2011.57
Wu, 2012, Ways to promote valuable innovation: intellectual capital assessment for higher education system, Qual. Quant., 46, 1377, 10.1007/s11135-011-9451-z
Zareinejad, 2014, Performance evaluation of services Qual. Higher Educ. institutions using modified SERVQUAL approach with grey analytic hierarchy process (G-AHP) and multilevel grey evaluation, Decis. Sci. Lett., 3, 143, 10.5267/j.dsl.2013.12.002
Lupo, 2013, A fuzzy ServQual based method for reliable measurements of education quality in Italian higher education area, Expert Syst. Appl., 40, 7096, 10.1016/j.eswa.2013.06.045
Ding, 2015, Evaluation of Chinese higher education by TOPSIS and IEW — The case of 68 universities belonging to the ministry of education in China, China Econ. Rev., 36, 341, 10.1016/j.chieco.2015.05.007
Santos, 2017, Assessment of health and comfort criteria in a life cycle social context: Application to buildings for higher education, Build. Environ., 123, 625, 10.1016/j.buildenv.2017.07.014
Sanchez, 2018
Sülkü, 2019, Performance evaluation using the discrete choquet integral: Higher education sector, Int. J. Assess. Tools Educ., 6, 138, 10.21449/ijate.482527
Wanke, 2022, Measuring higher education performance in Brazil: government indicators of performance vs efficiency measures, Int. J. Prod. Perform. Manage., 71, 2479, 10.1108/IJPPM-11-2020-0602
Bizzo, 2022, State-level educational performance in Brazil: A MCDM approach taking a governance perspective, J. Multi-Crit. Decis. Anal., 29, 199, 10.1002/mcda.1765
Adler, 1996
Hsu, 2000, Application of fuzzy analytic hierarchy process in the selection of advertising media, J. Manage. Syst., 7, 19
Hashemi Petrudi, 2020, A comprehensive framework for analyzing challenges in humanitarian supply chain management: A case study of the Iranian Red Crescent Society, Int. J. Disaster Risk Reduct., 42
Akdag, 2014, The evaluation of hospital service quality by fuzzy MCDM, Appl. Soft Comput., 23, 239, 10.1016/j.asoc.2014.06.033
Zadeh, 1965, Fuzzy sets, Inf. Control, 8, 338, 10.1016/S0019-9958(65)90241-X
Wu, 2009, A fuzzy MCDM approach for evaluating banking performance based on balanced scorecard, Expert Syst. Appl., 36, 10135, 10.1016/j.eswa.2009.01.005
Dalkey, 1963, An experimental application of the DELPHI method to the use of experts, Manage. Sci., 9, 458, 10.1287/mnsc.9.3.458
Kuo, 2008, Constructing performance appraisal indicators for mobility of the service industries using fuzzy delphi method, Expert Syst. Appl., 35, 1930, 10.1016/j.eswa.2007.08.068
Murray, 1985, A pilot study of fuzzy set modification of Delphi, Human Syst. Manage., 5, 76, 10.3233/HSM-1985-5111
A. Rejeb, K. Rejeb, J.G. Keogh, S.J.S. Zailani, Barriers to Blockchain Adoption in the Circular Economy: A Fuzzy Delphi and Best-Worst Approach. 14 (6) 2022, pp. 3611.
Padilla-Rivera, 2021, Social circular economy indicators: Selection through fuzzy delphi method, Sustain. Prod. Consum., 26, 101, 10.1016/j.spc.2020.09.015
Hasson, 2011, Enhancing rigour in the Delphi technique research, Technol. Forecast. Soc. Change, 78, 1695, 10.1016/j.techfore.2011.04.005
Akkermans, 2003, Amplification in service supply chains: an exploratory case study from the telecom industry, Prod. Oper. Manage., 12, 204, 10.1111/j.1937-5956.2003.tb00501.x
Worrell, 2013, Exploring the use of the Delphi method in accounting information systems research, Int. J. Account. Inf. Syst., 14, 193, 10.1016/j.accinf.2012.03.003
Qarnain, 2021, Modelling of driving factors for energy efficiency in buildings using Best, Mater. Today: Proc., 39, 137
Shukla, 2021, Prioritization of lean six sigma project selection criteria using best worst method
Rezaei, 2016, Best-worst multi-criteria decision-making method: Some properties and a linear model, Omega, 64, 126, 10.1016/j.omega.2015.12.001
Mangla, 2015, Risk analysis in green supply chain using fuzzy AHP approach: A case study, Resour. Conserv. Recy., 104, 375, 10.1016/j.resconrec.2015.01.001
Talib, 2019, Ranking model of total quality management enablers in healthcare establishments using the best-worst method, TQM J., 10.1108/TQM-04-2019-0118
Sheikh, 2022, Performance measurement and management in the British higher education sector, Qual. Quant., 10.1007/s11135-022-01339-3
Barbato, 2022, Performance indicators in higher education quality management of learning and teaching: lessons from a benchlearning exercise of six European universities, Qual. Higher Edu., 28, 82, 10.1080/13538322.2021.1951456
SQELT, 2020
Gunn, 2018, Metrics and methodologies for measuring teaching qual. higher educ.: developing the Teaching Excellence Framework (TEF), Educ. Rev., 70, 129, 10.1080/00131911.2017.1410106
McLeay, 2017, New applications for importance-performance analysis (IPA) in higher education: Understanding student satisfaction, J. Manage. Dev., 36, 780, 10.1108/JMD-10-2016-0187
Liu, 2015, Higher education quality assessment in China: An impact study, Higher Educ. Policy, 28, 175, 10.1057/hep.2014.3
Cadez, 2017, Research, teaching and performance evaluation in academia: the salience of quality, Stud. Higher Educ., 42, 1455, 10.1080/03075079.2015.1104659
Andersson, 2017, Technical efficiency and productivity for higher education institutions in Sweden, Scand. J. Educ. Res., 61, 205, 10.1080/00313831.2015.1120230
Toole, 2010, Commercializing science: Is there a university brain drain from academic entrepreneurship?, Manage. Scie., 56, 1599
Argento, 2020, The disillusion of calculative practices in academia, Qual. Res. Account. Manage., 17, 1, 10.1108/QRAM-12-2019-0130
