Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach

This research develops an academic production function for the educational process of industrial engineers in Colombia. The proposed function objectively analyses the relationships between the academic competencies obtained in secondary education and the university. The data used correspond to the s...

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Autores:
Zuluaga Ortiz, Rohemi Alfredo
Delahoz-Dominguez, Enrique
Camelo-Guarín, Alicia
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12155
Acceso en línea:
https://hdl.handle.net/20.500.12585/12155
Palabra clave:
Data Envelopment Analysis;
Decision Making Units;
Education
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
title Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
spellingShingle Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
Data Envelopment Analysis;
Decision Making Units;
Education
LEMB
title_short Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
title_full Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
title_fullStr Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
title_full_unstemmed Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
title_sort Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach
dc.creator.fl_str_mv Zuluaga Ortiz, Rohemi Alfredo
Delahoz-Dominguez, Enrique
Camelo-Guarín, Alicia
dc.contributor.author.none.fl_str_mv Zuluaga Ortiz, Rohemi Alfredo
Delahoz-Dominguez, Enrique
Camelo-Guarín, Alicia
dc.subject.keywords.spa.fl_str_mv Data Envelopment Analysis;
Decision Making Units;
Education
topic Data Envelopment Analysis;
Decision Making Units;
Education
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description This research develops an academic production function for the educational process of industrial engineers in Colombia. The proposed function objectively analyses the relationships between the academic competencies obtained in secondary education and the university. The data used correspond to the standardized tests of 4,977 students at the end of high school and university. In the first stage of the model, the structure of the production function was empirically evaluated using a Partial Least Square-Structural Equation Modeling approach. Consequently, in the second stage, the efficiency of the relationships in the academic production function is estimated using Data Envelopment Analysis. The Goodness of Fit index of the empirical model was 0.89, thus, confirming the relationships between the construct's variables. The model validates four transformation relationships and subsequently estimates the efficiency of the interactions in the production function. The average efficiency results of the model in its constant scale are 16.30%, 2.17%, and 5.43%. In conclusion, the model explains the capacity of universities to transform inputs (basic competencies of the secondary school) into desired outputs (professional academic competencies). Additionally, the model analyses professional performance from the interactions among academic competencies. © Foundation of International Studies, 2022 and CSR, 2022.
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-07-19T12:54:08Z
dc.date.available.none.fl_str_mv 2023-07-19T12:54:08Z
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv Zuluaga-Ortiz, R., DelaHoz-Dominguez, E., & Camelo-Guarín, A. (2022). Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach. Journal of International Studies, 15(2), 107–121. https://doi.org/10.14254/2071-8330.2022/15-2/8
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12155
dc.identifier.doi.none.fl_str_mv 10.14254/2071-8330.2022/15-2/8
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Zuluaga-Ortiz, R., DelaHoz-Dominguez, E., & Camelo-Guarín, A. (2022). Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach. Journal of International Studies, 15(2), 107–121. https://doi.org/10.14254/2071-8330.2022/15-2/8
10.14254/2071-8330.2022/15-2/8
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12155
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv Journal of International Studies
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spelling Zuluaga Ortiz, Rohemi Alfredo182b4086-4094-4784-9843-4be10643fb58Delahoz-Dominguez, Enrique1845b064-8f16-48b4-8210-4a40985833e2Camelo-Guarín, Alicia433c1cb6-33c2-411b-a291-56754acf43182023-07-19T12:54:08Z2023-07-19T12:54:08Z20222023Zuluaga-Ortiz, R., DelaHoz-Dominguez, E., & Camelo-Guarín, A. (2022). Academic efficiency of engineering university degrees and its driving factors. A PLS-DEA approach. Journal of International Studies, 15(2), 107–121. https://doi.org/10.14254/2071-8330.2022/15-2/8https://hdl.handle.net/20.500.12585/1215510.14254/2071-8330.2022/15-2/8Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis research develops an academic production function for the educational process of industrial engineers in Colombia. The proposed function objectively analyses the relationships between the academic competencies obtained in secondary education and the university. The data used correspond to the standardized tests of 4,977 students at the end of high school and university. In the first stage of the model, the structure of the production function was empirically evaluated using a Partial Least Square-Structural Equation Modeling approach. Consequently, in the second stage, the efficiency of the relationships in the academic production function is estimated using Data Envelopment Analysis. The Goodness of Fit index of the empirical model was 0.89, thus, confirming the relationships between the construct's variables. The model validates four transformation relationships and subsequently estimates the efficiency of the interactions in the production function. The average efficiency results of the model in its constant scale are 16.30%, 2.17%, and 5.43%. In conclusion, the model explains the capacity of universities to transform inputs (basic competencies of the secondary school) into desired outputs (professional academic competencies). Additionally, the model analyses professional performance from the interactions among academic competencies. © Foundation of International Studies, 2022 and CSR, 2022.15 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Journal of International StudiesAcademic efficiency of engineering university degrees and its driving factors. A PLS-DEA approachinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Data Envelopment Analysis;Decision Making Units;EducationLEMBCartagena de IndiasAgasisti, T., Munda, G., Hippe, R. Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation (2019) Journal of Productivity Analysis, 51 (2-3), pp. 105-124. Cited 19 times. http://www.kluweronline.com/issn/0895-562X doi: 10.1007/s11123-019-00549-6Alabdulmenem, F. M. Measuring the Efficiency of Public Universities: Using Data Envelopment Analysis (DEA) to Examine Public Universities in Saudi Arabia (2016) International Education Studies, 10 (1), p. 137. Cited 9 times. https://doi.org/10.5539/ies.v10n1p137Bernal, G. P., Villegas, L., Toro, M. (2020) Saber Pro success prediction model using decision tree based learning. Cited 2 times. ArXivBianchi, N., Giorcelli, M. Scientific education and innovation: From technical diplomas to university stem degrees (2020) Journal of the European Economic Association, 18 (5), pp. 2608-2646. Cited 16 times. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1542-4774 doi: 10.1093/JEEA/JVZ049Charnes, A., Cooper, W.W., Rhodes, E. Measuring the efficiency of decision making units (1978) European Journal of Operational Research, 2 (6), pp. 429-444. Cited 19703 times. doi: 10.1016/0377-2217(78)90138-8Colbert, A., Levary, R.R., Shaner, M.C. Determining the relative efficiency of MBA programs using DEA (2000) European Journal of Operational Research, 125 (3), pp. 656-669. Cited 99 times. doi: 10.1016/S0377-2217(99)00275-1Coll-Serrano, V., Benítez, R., Bolós, V. (2018) Data Envelopment Analysis with deaR (1.2.0) [Computer software] Universidad de Valencia https://CRAN.R-project.org/package=deaRColombo, M.G., Piva, E. Start-ups launched by recent STEM university graduates: The impact of university education on entrepreneurial entry (2020) Research Policy, 49 (6), art. no. 103993. Cited 30 times. https://www.journals.elsevier.com/research-policy doi: 10.1016/j.respol.2020.103993Cook, W.D., Ramón, N., Ruiz, J.L., Sirvent, I., Zhu, J. DEA-based benchmarking for performance evaluation in pay-for-performance incentive plans (2019) Omega (United Kingdom), 84, pp. 45-54. 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Cited 17 times. https://www.journals.elsevier.com/data-in-brief doi: 10.1016/j.dib.2020.105537Duan, S.X. Measuring university efficiency: An application of data envelopment analysis and strategic group analysis to Australian universities (2019) Benchmarking, 26 (4), pp. 1161-1173. Cited 17 times. http://www.emeraldinsight.com/info/journals/bij/bij.jsp doi: 10.1108/BIJ-10-2017-0274Galbraith, C.S., Merrill, G.B. Academic performance and burnout: an efficient frontier analysis of resource use efficiency among employed university students (Open Access) (2015) Journal of Further and Higher Education, 39 (2), pp. 255-277. Cited 19 times. http://www.tandfonline.com/toc/cjfh20/current doi: 10.1080/0309877X.2013.858673Gralka, S., Wohlrabe, K., Bornmann, L. How to measure research efficiency in higher education? Research grants vs. publication output (2019) Journal of Higher Education Policy and Management, 41 (3), pp. 322-341. 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