Benchmarking performance through efficiency analysis trees: improvement strategies for colombian higher education institutions

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dc.contributor.authorZofío Prieto, José Luis
dc.contributor.authorAparicio, Juan
dc.contributor.authorBarbero Jiménez, Javier
dc.contributor.authorZabala Iturriagagoitia, Jon Mikel
dc.date.accessioned2025-03-31T14:06:56Z
dc.date.available2025-03-31T14:06:56Z
dc.date.issued2024-04
dc.date.updated2025-03-31T14:06:56Z
dc.description.abstractWe introduce benchmarking analysis based on state-of-the-art machine learning techniques applied to the measurement of efficiency to assess the performance of Higher Education Institutions (HEIs). We rely on Efficiency Analysis Trees (EAT) and its Convexified frontier counterpart (CEAT) to assess the efficiency of 144 private HEIs in Colombia and compare the results with those achieved with classical Data Envelopment Analysis (DEA). Both EAT and CEAT show a higher discriminatory power than DEA when determining efficiency scores. Our results identify the different splits of the production frontier, corresponding to each node of the efficiency tree, which groups HEIs according to specific management models. By identifying relevant peers for inefficient observations at the node level, we show which strategic guidelines can be adopted to improve the performance of each HEI. This process encourages mutual learning and suggests potential changes within each node leading to efficiency improvementsen
dc.description.sponsorshipThe authors thank the grants PID2022-138212NA-I00 and PID2022- 136383NB-I00 funded by Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación/10.13039/501100011033. Juan Aparicio thanks the grant PROMETEO/2021/063 funded by the Valencian Community (Spain). Jon Mikel Zabala-Iturriagagoitia acknowledges financial support from the Basque Government Department of Education, Language Policy and Culture (IT 1429–22) and from the 2021 Membership Research Grant Scheme of the Regional Studies Associationen
dc.identifier.citationZofio, J. L., Aparicio, J., Barbero, J., & Zabala-Iturriagagoitia, J. M. (2024). Benchmarking performance through efficiency analysis trees: Improvement strategies for colombian higher education institutions. Socio-Economic Planning Sciences, 92. https://doi.org/10.1016/J.SEPS.2024.101845
dc.identifier.doi10.1016/J.SEPS.2024.101845
dc.identifier.issn0038-0121
dc.identifier.urihttp://hdl.handle.net/20.500.14454/2596
dc.language.isoeng
dc.publisherElsevier Ltd
dc.rights© 2024 The Authors
dc.subject.otherBenchmarking
dc.subject.otherColombia
dc.subject.otherData envelopment analysis
dc.subject.otherEfficiency analysis trees
dc.subject.otherHigher education institutions
dc.subject.otherMachine learning
dc.titleBenchmarking performance through efficiency analysis trees: improvement strategies for colombian higher education institutionsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.titleSocio-Economic Planning Sciences
oaire.citation.volume92
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc/4.0/
oaire.versionVoR
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