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Using DEA for planning in UK universities—an institutional perspective

Author

Listed:
  • C S Sarrico

    (University of Warwick)

  • R G Dyson

    (University of Warwick)

Abstract

This paper is focused on the process of performance measurement undertaken by different stakeholders in the UK higher education sector, focusing on the institutional perspective. Different classes of stakeholders have different motivations to measure performance. Institutions will be affected on the one hand by the state evaluation of them, and on the other by the applicant's. The contribution of Data Envelopment Analysis (DEA) to inform management is explored and illustrated in an application to the University of Warwick, using concepts from a technique to support strategic option formulation, the Boston Consulting Group (BCG) matrix.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:7:d:10.1057_palgrave.jors.2600949
    DOI: 10.1057/palgrave.jors.2600949
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    Cited by:

    1. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.
    2. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    3. 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.
    4. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2010. "An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency," EERI Research Paper Series EERI_RP_2010_17, Economics and Econometrics Research Institute (EERI), Brussels.
    5. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    6. Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    7. Lu, Wen-Min, 2012. "Intellectual capital and university performance in Taiwan," Economic Modelling, Elsevier, vol. 29(4), pages 1081-1089.
    8. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    9. Ahti Salo & Antti Punkka, 2011. "Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis," Management Science, INFORMS, vol. 57(1), pages 200-214, January.
    10. Kunsch, Pierre L. & Ishizaka, Alessio, 2018. "Multiple-criteria performance ranking based on profile distributions: An application to university research evaluations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 154(C), pages 48-64.
    11. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    12. Erkan Bayraktar & Ekrem Tatoglu & Arafat Salih Aydiner & Dursun Delen, 2024. "Business Analytics Adoption and Technological Intensity: An Efficiency Analysis," Information Systems Frontiers, Springer, vol. 26(4), pages 1509-1526, August.
    13. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    14. David Draper & Mark Gittoes, 2004. "Statistical analysis of performance indicators in UK higher education," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 449-474, August.
    15. Fernando Gascón & Jesús Lozano & Borja Ponte & David Fuente, 2017. "Measuring the efficiency of large pharmaceutical companies: an industry analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 587-608, June.
    16. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    17. Robert G. Dyson & Frances A. O’Brien & Devan B. Shah, 2021. "Soft OR and Practice: The Contribution of the Founders of Operations Research," Operations Research, INFORMS, vol. 69(3), pages 727-738, May.
    18. Yi-Chieh Chen & Lin-Huan Hu & Wan Chen Lu & Jei-Zheng Wu & Jiun-Jen Yang, 2021. "Multiple Criteria Decision-Making for Developing an International Game Participation Strategy: A Novel Application of the Data Envelopment Analysis (DEA) Two-Stage Efficiency Process," Mathematics, MDPI, vol. 9(14), pages 1-16, July.
    19. 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.
    20. 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.
    21. R G Dyson & E A Shale, 2010. "Data envelopment analysis, operational research and uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 25-34, January.
    22. 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).
    23. Sarrico, C. S. & Dyson, R. G., 2004. "Restricting virtual weights in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 159(1), pages 17-34, November.

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