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Preventive Risk Management of Resource Allocation in Romanian Higher Education by Assessing Relative Performance of Study Programs with DEA Method

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  • Gabriela Vica Olariu

    (Research Centre for Engineering and Management of Innovation, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Stelian Brad

    (Research Centre for Engineering and Management of Innovation, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

Abstract

Risk management is a key activity in every organization. The identification and evaluation of all risks in higher education institutions lead to the continuous monitoring of investments in people, high technology, and innovation. This paper evaluates the relative efficiency of study programs in Romanian higher education using the DEA method. This study is based on 38 study programs from a public university in Romania, using a traditional DEA approach: CRS-DEA and VRS-DEA models, with an output orientation for three academic years (2016–2019). To avoid distortions in the efficiency scores, we decided to implement the bootstrap method to correct DEA efficiencies. The results show that only four study programs were efficient during this period under the CRS-DEA approach, and eight study programs were efficient under the VRS-DEA model. According to scale efficiency and the bootstrap method, the results also showed that four study programs were efficient during the period analyzed. Finally, we observed that the inefficiency of study programs is relatively persistent (89%), compared with efficient DMUs (11%). Based on these findings, higher education institutions should consider the possibility of increasing the quality of study programs correlated with the degree of attractiveness of various programs in the current socio-economic environment.

Suggested Citation

  • Gabriela Vica Olariu & Stelian Brad, 2022. "Preventive Risk Management of Resource Allocation in Romanian Higher Education by Assessing Relative Performance of Study Programs with DEA Method," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12527-:d:931104
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    References listed on IDEAS

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    1. Zhu, Joe, 2003. "Imprecise data envelopment analysis (IDEA): A review and improvement with an application," European Journal of Operational Research, Elsevier, vol. 144(3), pages 513-529, February.
    2. Dan-Marin Boaja & Florin Cristian Ciurlau & Ionut Alin Ciurlau, 2015. "Financing and Decentralization – Major Coordinates in Education Reform in Romania," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 7(1), pages 137-143, March.
    3. 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.
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