Partial least squares – path modelling for efficiency assessment in the colombian professional football league
This research develops a production function to evaluate the teams’ efficiency in the Colombian professional soccer league. The designed methodology uses the concepts of structural equations and Data Envelope Analysis. In the development of the research, primary information associated with the sport...
- Autores:
-
Delahoz-Dominguez, Enrique J.
Fontalvo-Herrera, Tomás J.
Zuluaga Ortiz, Rohemi Alfredo
- 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:20.500.12585/12408
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12408
- Palabra clave:
- Data envelopment analysis
Football
Partial least squares
Structural equations
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league |
title |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league |
spellingShingle |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league Data envelopment analysis Football Partial least squares Structural equations |
title_short |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league |
title_full |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league |
title_fullStr |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league |
title_full_unstemmed |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league |
title_sort |
Partial least squares – path modelling for efficiency assessment in the colombian professional football league |
dc.creator.fl_str_mv |
Delahoz-Dominguez, Enrique J. Fontalvo-Herrera, Tomás J. Zuluaga Ortiz, Rohemi Alfredo |
dc.contributor.author.none.fl_str_mv |
Delahoz-Dominguez, Enrique J. Fontalvo-Herrera, Tomás J. Zuluaga Ortiz, Rohemi Alfredo |
dc.subject.keywords.spa.fl_str_mv |
Data envelopment analysis Football Partial least squares Structural equations |
topic |
Data envelopment analysis Football Partial least squares Structural equations |
description |
This research develops a production function to evaluate the teams’ efficiency in the Colombian professional soccer league. The designed methodology uses the concepts of structural equations and Data Envelope Analysis. In the development of the research, primary information associated with the sports and financial performance of the 20 Colombian Professional soccer teams was collected, with which a structural equation model was established that was empirically validated to evaluate the efficiency of each football team finally holistically. As result of this research, it can be pointed out that the proposed PLS structural model validates the hypotheses about the relationships between the latent variables. Similarly, the results show that the best Colombian soccer teams for the analyzed period are Medellín, Tolima, Nacional, and Junior. |
publishDate |
2022 |
dc.date.issued.none.fl_str_mv |
2022-03-01 |
dc.date.accessioned.none.fl_str_mv |
2023-07-24T18:51:11Z |
dc.date.available.none.fl_str_mv |
2023-07-24T18:51:11Z |
dc.date.submitted.none.fl_str_mv |
2023-07 |
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http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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info:eu-repo/semantics/article |
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draft |
dc.identifier.citation.spa.fl_str_mv |
Delahoz-Dominguez, E.J., Fontalvo-Herrera, T.J., Zuluaga-Ortiz, R.A. PARTIAL LEAST SQUARES – PATH MODELLING FOR EFFICIENCY ASSESSMENT IN THE COLOMBIAN PROFESSIONAL FOOTBALL LEAGUE (2022) Pesquisa Operacional, 42, art. no. e254144, . DOI: 10.1590/0101-7438.2022.042.00254144 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12408 |
dc.identifier.doi.none.fl_str_mv |
10.1590/0101-7438.2022.042.00254144 |
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 |
Delahoz-Dominguez, E.J., Fontalvo-Herrera, T.J., Zuluaga-Ortiz, R.A. PARTIAL LEAST SQUARES – PATH MODELLING FOR EFFICIENCY ASSESSMENT IN THE COLOMBIAN PROFESSIONAL FOOTBALL LEAGUE (2022) Pesquisa Operacional, 42, art. no. e254144, . DOI: 10.1590/0101-7438.2022.042.00254144 10.1590/0101-7438.2022.042.00254144 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/12408 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
15 páginas |
dc.format.medium.none.fl_str_mv |
Pdf |
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application/pdf |
dc.coverage.spatial.none.fl_str_mv |
Colombia |
dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
dc.source.spa.fl_str_mv |
Pesquisa Operacional - vol. 42 (2022) |
institution |
Universidad Tecnológica de Bolívar |
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Delahoz-Dominguez, Enrique J.1ff9a4eb-3ded-4a7d-ad77-081cf2393ca1Fontalvo-Herrera, Tomás J.b4a83ba0-1619-434e-8343-75af19900fe2Zuluaga Ortiz, Rohemi Alfredoffa49e06-fa7d-489d-ac1b-52e4cd107756Colombia2023-07-24T18:51:11Z2023-07-24T18:51:11Z2022-03-012023-07Delahoz-Dominguez, E.J., Fontalvo-Herrera, T.J., Zuluaga-Ortiz, R.A. PARTIAL LEAST SQUARES – PATH MODELLING FOR EFFICIENCY ASSESSMENT IN THE COLOMBIAN PROFESSIONAL FOOTBALL LEAGUE (2022) Pesquisa Operacional, 42, art. no. e254144, . DOI: 10.1590/0101-7438.2022.042.00254144https://hdl.handle.net/20.500.12585/1240810.1590/0101-7438.2022.042.00254144Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis research develops a production function to evaluate the teams’ efficiency in the Colombian professional soccer league. The designed methodology uses the concepts of structural equations and Data Envelope Analysis. In the development of the research, primary information associated with the sports and financial performance of the 20 Colombian Professional soccer teams was collected, with which a structural equation model was established that was empirically validated to evaluate the efficiency of each football team finally holistically. As result of this research, it can be pointed out that the proposed PLS structural model validates the hypotheses about the relationships between the latent variables. Similarly, the results show that the best Colombian soccer teams for the analyzed period are Medellín, Tolima, Nacional, and Junior.15 páginasPdfapplication/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_abf2Pesquisa Operacional - vol. 42 (2022)Partial least squares – path modelling for efficiency assessment in the colombian professional football leagueinfo: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 analysisFootballPartial least squaresStructural equationsCartagena de IndiasBaroncelli, A., Lago, U. Italian Football (2006) Journal of Sports Economics, 7 (1), pp. 13-28. Cited 77 times. doi: 10.1177/1527002505282863BARROS, CP, SANTOS, A. 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Cited 610 times. https://www.journals.elsevier.com/information-and-management doi: 10.1016/j.im.2019.05.003Bini, M., Carpita, M., Posa, D., Sarnacchiaro, P. Socio-Economic Indicators for Performance Evaluation and Quality Assessment: Statistical Methods and Applications (2019) Social Indicators Research, 146 (1-2), pp. 1-5. Cited 2 times. https://link.springer.com/journal/11205 doi: 10.1007/s11205-019-02098-9CABRERA, JT. Fútbol colombiano: conversión de clubes en sociedades anónimas (2014) Revista Republicana, 16, pp. 211-225.Carmichael, F., Rossi, G., Thomas, D. Production, Efficiency, and Corruption in Italian Serie A Football (2017) Journal of Sports Economics, 18 (1), pp. 34-57. Cited 14 times. http://www.sagepub.co.uk/journalsProdDesc.nav?prodId=Journal200938 doi: 10.1177/1527002514551802Cataldo, R., Grassia, M.G., Lauro, N.C., Marino, M. Developments in Higher-Order PLS-PM for the building of a system of Composite Indicators (2017) Quality and Quantity, 51 (2), pp. 657-674. Cited 17 times. http://www.kluweronline.com/issn/0033-5177 doi: 10.1007/s11135-016-0431-1COLL-SERRANO, V, BENÍTEZ, R, BOLÓS, V. (2018) Data Envelopment Analysis with deaR. Cited 22 times. University of Valencia, Spain. R package version 1.2.0COOPER, WW, SEIFORD, LM, TONE, K The Basic CCR Model (2006) En In-troduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References, 1, pp. 21-39. Cited 2 times. (Eds). Springer, USHoz, E.D.L., Zuluaga, R., Mendoza, A. Assessing and classification of academic efficiency in engineering teaching programs (2021) Journal on Efficiency and Responsibility in Education and Science, 14 (1), pp. 41-52. Cited 14 times. https://www.eriesjournal.com/index.php/eries/article/view/375 doi: 10.7160/ERIESJ.2021.140104ESPITIA-ESCUER, M, GARCÍA-CEBRIÁN, LI. Measuring the Productivity of Spanish First Division Soccer Teams European (2008) Sport Management Quarterly, 8 (3), pp. 229-246. 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Prediction of efficiency in colombian higher education institutions with data envelopment analysis and neural networks (Open Access) (2019) Pesquisa Operacional, 39 (2), pp. 261-275. Cited 13 times. http://www.scielo.br/pdf/pope/v39n2/1678-5142-pope-39-02-261.pdf doi: 10.1590/0101-7438.2019.039.02.0261Yue, Z., Broich, H., Mester, J. Statistical analysis for the soccer matches of the first bundesliga (Open Access) (2014) International Journal of Sports Science and Coaching, 9 (3), pp. 553-560. Cited 39 times. www.multi-science.co.uk/sports-science&coaching.htm doi: 10.1260/1747-9541.9.3.553Zelenkov, Y., Solntsev, I. Measuring the effciency of Russian Football Premier League clubs (Open Access) (2017) Electronic Journal of Applied Statistical Analysis, 10 (3), pp. 773-789. 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