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A systematic review of operations research and management science modeling techniques in the study of higher education institutions

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  • Badiee, Aghdas
  • Moshtari, Mohammad
  • Berenguer, Gemma

Abstract

Higher education institutions (HEIs) in both developed and developing countries are confronted with increasing pressure to enhance their effectiveness and efficiency while contending with diminishing financial resources and austerity measures. Reductions in governmental budgets allocated to HEIs have resulted in decreased investment in research and infrastructure. Concurrently, HEIs are expected by both societies and governments to demonstrate greater economic and social responsibility, actively engage in addressing local and national socioeconomic challenges and adapt their educational programs to the skills and competencies demanded by diverse industries. Against this background, quantitative operations research and management science (OR/MS) modeling techniques can offer support to higher education policymakers, university leadership teams, and other decision-makers to optimize performance, enhance quality, and minimize costs. Based on a systematic literature review, this study sheds light on the use of quantitative OR/MS modeling techniques in the OR/MS and higher education literature.

Suggested Citation

  • Badiee, Aghdas & Moshtari, Mohammad & Berenguer, Gemma, 2024. "A systematic review of operations research and management science modeling techniques in the study of higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:soceps:v:93:y:2024:i:c:s0038012124000880
    DOI: 10.1016/j.seps.2024.101889
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    1. Johnes, Jill, 1996. "Performance assessment in higher education in Britain," European Journal of Operational Research, Elsevier, vol. 89(1), pages 18-33, February.
    2. Ekinci, Yeliz & Orbay, Benan Zeki & Karadayi, Melis Almula, 2022. "An MCDM-based game-theoretic approach for strategy selection in higher education," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    3. Ding, Tao & Zhang, Yun & Zhang, Danlu & Li, Feng, 2023. "Performance evaluation of Chinese research universities: A parallel interactive network DEA approach with shared and fixed sum inputs," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Puertas, Rosa & Guaita-Martinez, José M. & Marti, Luisa, 2023. "Analysis of the impact of university policies on society's environmental perception," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    5. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    6. Luca Grieco & Martin Utley & Sonya Crowe, 2021. "Operational research applied to decisions in home health care: A systematic literature review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(9), pages 1960-1991, September.
    7. Li, Lei & Zhang, Jiayang & An, Xun, 2023. "Using social media for efficient brand marketing: An evaluation of Chinese Universities using Bilibili," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    8. Lee, Boon L. & Worthington, Andrew C., 2016. "A network DEA quantity and quality-orientated production model: An application to Australian university research services," Omega, Elsevier, vol. 60(C), pages 26-33.
    9. Minh Phan & Arno de Caigny & Kristof Coussement, 2023. "A decision support framework to incorporate textual data for early student dropout prediction in higher education," Post-Print hal-04274684, HAL.
    10. Ruiz, José L. & Segura, José V. & Sirvent, Inmaculada, 2015. "Benchmarking and target setting with expert preferences: An application to the evaluation of educational performance of Spanish universities," European Journal of Operational Research, Elsevier, vol. 242(2), pages 594-605.
    11. Lepori, B. & Seeber, M. & Bonaccorsi, A., 2015. "Competition for talent. Country and organizational-level effects in the internationalization of European higher education institutions," Research Policy, Elsevier, vol. 44(3), pages 789-802.
    12. Panagiota Galetsi & Korina Katsaliaki, 2020. "A review of the literature on big data analytics in healthcare," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(10), pages 1511-1529, October.
    13. Steimle, Lauren N. & Sun, Yuming & Johnson, Lauren & Besedeš, Tibor & Mokhtarian, Patricia & Nazzal, Dima, 2022. "Students’ preferences for returning to colleges and universities during the COVID-19 pandemic: A discrete choice experiment," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    14. Cui, Yuan & Ren, Xian-tong & He, Xi-jie & Yang, Guo-liang, 2023. "Is human and financial investment in Chinese universities effective?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    15. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    16. Nikki Cornwell & Christopher Bilson & Adrian Gepp & Steven Stern & Bruce J Vanstone, 2023. "The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(1), pages 374-402, January.
    17. I-Shuo Chen, 2012. "A revised Inno-Qual performance system for higher education: the integrated applications of DEMATEL and ANP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(4), pages 478-488, April.
    18. José França & João Figueiredo & Jair Lapa, 2010. "A DEA methodology to evaluate the impact of information asymmetry on the efficiency of not-for-profit organizations with an application to higher education in Brazil," Annals of Operations Research, Springer, vol. 173(1), pages 39-56, January.
    19. Navas, Lina P. & Montes, Felipe & Abolghasem, Sepideh & Salas, Ricardo J. & Toloo, Mehdi & Zarama, Roberto, 2020. "Colombian higher education institutions evaluation," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    20. Baisuck, Allen & Wallace, William A., 1970. "A computer simulation approach to enrollment projection in higher education," Socio-Economic Planning Sciences, Elsevier, vol. 4(3), pages 365-381, September.
    21. Lars Müller & Daniel Klein, 2023. "Social Inequality in Dropout from Higher Education in Germany. Towards Combining the Student Integration Model and Rational Choice Theory," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(2), pages 300-330, March.
    22. Zilla Sinuany-Stern, 2021. "Operations Research and Management Science in Higher Education: An Overview," International Series in Operations Research & Management Science, in: Zilla Sinuany-Stern (ed.), Handbook of Operations Research and Management Science in Higher Education, chapter 0, pages 3-34, Springer.
    23. Casu, B. & Thanassoulis, E., 2006. "Evaluating cost efficiency in central administrative services in UK universities," Omega, Elsevier, vol. 34(5), pages 417-426, October.
    24. Guironnet, Jean-Pascal & Peypoch, Nicolas, 2018. "The geographical efficiency of education and research: The ranking of U.S. universities," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 44-55.
    25. Thanassoulis, E. & Sotiros, D. & Koronakos, G. & Despotis, D., 2018. "Assessing the cost-effectiveness of university academic recruitment and promotion policies," European Journal of Operational Research, Elsevier, vol. 264(2), pages 742-755.
    26. Thies, Christian & Kieckhäfer, Karsten & Spengler, Thomas S. & Sodhi, Manbir S., 2019. "Operations research for sustainability assessment of products: A review," European Journal of Operational Research, Elsevier, vol. 274(1), pages 1-21.
    27. Colin Glass, J. & McCallion, Gillian & McKillop, Donal G. & Rasaratnam, Syamarlah & Stringer, Karl S., 2006. "Implications of variant efficiency measures for policy evaluations in UK higher education," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 119-142, June.
    28. Eline Sneyers & Kristof De Witte, 2017. "The interaction between dropout, graduation rates and quality ratings in universities," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 416-430, April.
    29. Victor V. Podinovski & Wan Rohaida Wan Husain, 2017. "The hybrid returns-to-scale model and its extension by production trade-offs: an application to the efficiency assessment of public universities in Malaysia," Annals of Operations Research, Springer, vol. 250(1), pages 65-84, March.
    30. Liang-Cheng Zhang & Andrew C. Worthington, 2018. "Explaining Estimated Economies of Scale and Scope in Higher Education: A Meta-Regression Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(2), pages 156-173, March.
    31. Gul, Muhammet & Yucesan, Melih, 2022. "Performance evaluation of Turkish Universities by an integrated Bayesian BWM-TOPSIS model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    32. Bornmann, Lutz & Gralka, Sabine & Anegón, Félix de Moya & Wohlrabe, Klaus, 2023. "Efficiency of universities and research-focused institutions worldwide: The introduction of a new input indicator reflecting institutional staff numbers," Journal of Informetrics, Elsevier, vol. 17(2).
    33. Soyibo, Adedoyin & Lee, Sang M., 1986. "A multiobjective planning model for university resource allocation," European Journal of Operational Research, Elsevier, vol. 27(2), pages 168-178, October.
    34. K De Witte & N Rogge & L Cherchye & T Van Puyenbroeck, 2013. "Accounting for economies of scope in performance evaluations of university professors," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(11), pages 1595-1606, November.
    35. Sondra N. Barringer & Erin Leahey & Karina Salazar, 2020. "What Catalyzes Research Universities to Commit to Interdisciplinary Research?," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(6), pages 679-705, September.
    36. Emmanuel Thanassoulis & Prasanta Kumar Dey & Konstantinos Petridis & Ioannis Goniadis & Andreas C. Georgiou, 2017. "Evaluating higher education teaching performance using combined analytic hierarchy process and data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 431-445, April.
    37. Andrew Greasley & John Steven Edwards, 2021. "Enhancing discrete-event simulation with big data analytics: A review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(2), pages 247-267, February.
    38. Herrero, Inés & Algarrada, Inmaculada, 2010. "Is the new ECTS system better than the traditional one? An application to the ECTS pilot-project at the University Pablo de Olavide," European Journal of Operational Research, Elsevier, vol. 204(1), pages 164-172, July.
    39. Caballero, R. & Galache, T. & Gomez, T. & Molina, J. & Torrico, A., 2001. "Efficient assignment of financial resources within a university system. Study of the University of Malaga," European Journal of Operational Research, Elsevier, vol. 133(2), pages 298-309, January.
    40. Bertoletti, Alice & Berbegal-Mirabent, Jasmina & Agasisti, Tommaso, 2022. "Higher education systems and regional economic development in Europe: A combined approach using econometric and machine learning methods," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    41. Yanyan Liu & Wei Zhou & Yang Song & Xiaodi Li, 2021. "Evaluation of College Students’ Emergency Response Capability Based on Questionnaire-TOPSIS Innovative Algorithm," Complexity, Hindawi, vol. 2021, pages 1-12, July.
    42. Yang, Min & Zhang, Maolin & Yin, Pengzhen & Liang, Liang, 2023. "Performance evaluation of scientific research system in Chinese universities: A view of goal congruence," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    43. Marie-Laure Bougnol & José Dulá, 2006. "Validating DEA as a ranking tool: An application of DEA to assess performance in higher education," Annals of Operations Research, Springer, vol. 145(1), pages 339-365, July.
    44. Mustafa, A. & Goh, M., 1996. "Multi-criterion models for higher education administration," Omega, Elsevier, vol. 24(2), pages 167-178, April.
    45. Jill Johnes & Swati Virmani, 2020. "Chief executive pay in UK higher education: the role of university performance," Annals of Operations Research, Springer, vol. 288(2), pages 547-576, May.
    46. Wolszczak-Derlacz, Joanna, 2017. "An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the U.S. with the application of two-stage semi-parametric DEA," Research Policy, Elsevier, vol. 46(9), pages 1595-1605.
    47. Macki Sissoko & Liang-Rong Shiau, 2005. "Minority Enrollment Demand for Higher Education at Historically Black Colleges and Universities from 1976 to 1998: An Empirical Analysis," The Journal of Higher Education, Taylor & Francis Journals, vol. 76(2), pages 181-208, March.
    48. Ma, Zhanxin & See, Kok Fong & Yu, Ming-Miin & Zhao, Chunying, 2021. "Research efficiency analysis of China's university faculty members: A modified meta-frontier DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    49. Sagarra, Marti & Mar-Molinero, Cecilio & Agasisti, Tommaso, 2017. "Exploring the efficiency of Mexican universities: Integrating Data Envelopment Analysis and Multidimensional Scaling," Omega, Elsevier, vol. 67(C), pages 123-133.
    50. Wang, Derek D., 2019. "Performance-based resource allocation for higher education institutions in China," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 66-75.
    51. C S Sarrico & R G Dyson, 2000. "Using DEA for planning in UK universities—an institutional perspective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(7), pages 789-800, July.
    52. Herberholz, Lars & Wigger, Berthold U., 2021. "Efficiency of European universities: A comparison of peers," Research Policy, Elsevier, vol. 50(9).
    53. E Thanassoulis & M Kortelainen & G Johnes & J Johnes, 2011. "Costs and efficiency of higher education institutions in England: a DEA analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1282-1297, July.
    54. da Cunha, Joaquim J. & de Souza, Mauricio C., 2018. "A linearized model for academic staff assignment in a Brazilian university focusing on performance gain in quality indicators," International Journal of Production Economics, Elsevier, vol. 197(C), pages 43-51.
    55. Sanjeet Singh & Prabhat Ranjan, 2018. "Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education," Annals of Operations Research, Springer, vol. 269(1), pages 641-666, October.
    56. B K Wong & T A Bodnovich & V S-K Lai, 2000. "The use of cascade-correlation neural networks in University fund raising," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(8), pages 913-920, August.
    57. El Gibari, Samira & Gómez, Trinidad & Ruiz, Francisco, 2018. "Evaluating university performance using reference point based composite indicators," Journal of Informetrics, Elsevier, vol. 12(4), pages 1235-1250.
    58. Cédric Beaulac & Jeffrey S. Rosenthal, 2019. "Predicting University Students’ Academic Success and Major Using Random Forests," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(7), pages 1048-1064, November.
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