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...

Full description

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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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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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.format.extent.none.fl_str_mv 15 páginas
dc.format.medium.none.fl_str_mv Pdf
dc.format.mimetype.spa.fl_str_mv 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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spelling 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. Productivity in sports organizational training activities: A DEA study (2003) European Sport Management Quarterly, 3 (1), pp. 46-65. Cited 26 times.Benicio, J., De Mello, J.C.S. Different types of return to scale in dea (2019) Pesquisa Operacional, 39 (2), pp. 245-260. Cited 6 times. http://www.scielo.br/pdf/pope/v39n2/1678-5142-pope-39-02-245.pdf doi: 10.1590/0101-7438.2019.039.02.0245Benicio, J., Soares De Mello, J. Algorithm modeling for constructing a concave efficient frontier (2020) Pesquisa Operacional, 40, art. no. e224070. http://www.scielo.br/pdf/pope/v40/1678-5142-pope-40-e224070.pdf doi: 10.1590/0101-7438.2020.040.00224070Benitez, J., Henseler, J., Castillo, A., Schuberth, F. How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research (2020) Information and Management, 57 (2), art. no. 103168. 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. Cited 23 times.Galariotis, E., Germain, C., Zopounidis, C. A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France (2018) Annals of Operations Research, 266 (1-2), pp. 589-612. Cited 29 times. http://www.kluweronline.com/issn/0254-5330 doi: 10.1007/s10479-017-2631-zGhio, A., Ruberti, M., Verona, R. Financial constraints on sport organizations’ cost efficiency: the impact of financial fair play on Italian soccer clubs (2019) Applied Economics, 51 (24), pp. 2623-2638. Cited 20 times. http://www.tandfonline.com/toc/raec20/current doi: 10.1080/00036846.2018.1558348GÖKGÖZ, F, YALÇIN, E. A slack-based DEA analysis for the world cup teams (2021) Team Performance Management: An International Journal ahead-of-print(ahead-of-print)Hair, J.F., Sarstedt, M., Ringle, C.M., Mena, J.A. An assessment of the use of partial least squares structural equation modeling in marketing research (2012) Journal of the Academy of Marketing Science, 40 (3), pp. 414-433. Cited 4275 times. doi: 10.1007/s11747-011-0261-6Dolles, H., Söderman, S., Kern, A., Schwarzmann, M., Wiedenegger, A. Measuring the efficiency of English Premier League football: A two-stage data envelopment analysis approach (Open Access) (2012) Sport, Business and Management: An International Journal, 2 (3), pp. 177-195. Cited 29 times. doi: 10.1108/20426781211261502Lam, S.K., Sleep, S., Hennig-Thurau, T., Sridhar, S., Saboo, A.R. Leveraging Frontline Employees’ Small Data and Firm-Level Big Data in Frontline Management: An Absorptive Capacity Perspective (2017) Journal of Service Research, 20 (1), pp. 12-28. Cited 61 times. http://www.sagepub.co.uk/journal.aspx?pid=105683 doi: 10.1177/1094670516679271Martínez-Ruiz, A., Aluja-Banet, T. Two-step PLS path modeling MODE B: Nonlinear and interaction effects between formative constructs (2013) Springer Proceedings in Mathematics and Statistics, 56, pp. 187-199. ISBN: 978-146148282-6 doi: 10.1007/978-1-4614-8283-3_12McIntosh, C.N., Edwards, J.R., Antonakis, J. Reflections on Partial Least Squares Path Modeling (2014) Organizational Research Methods, 17 (2), pp. 210-251. Cited 154 times. doi: 10.1177/1094428114529165Miragaia, D., Ferreira, J., Carvalho, A., Ratten, V. Interactions between financial efficiency and sports performance: Data for a sustainable entrepreneurial approach of European professional football clubs (2019) Journal of Entrepreneurship and Public Policy, 8 (1), pp. 84-102. Cited 12 times. www.emeraldgrouppublishing.com/jepp.htm doi: 10.1108/JEPP-D-18-00060Morgulev, E., Azar, O.H., Lidor, R. Sports analytics and the big-data era (Open Access) (2018) International Journal of Data Science and Analytics, 5 (4), pp. 213-222. Cited 68 times. springer.com/journal/41060 doi: 10.1007/s41060-017-0093-7Oukil, A., Govindaluri, S.M. A systematic approach for ranking football players within an integrated DEA-OWA framework (2017) Managerial and Decision Economics, 38 (8), pp. 1125-1136. Cited 33 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1468 doi: 10.1002/mde.2851PÉREZ-GONZÁLEZ, A, DE CARLOS, P, ALÉN, E. An analysis of the efficiency of football clubs in the Spanish First Division through a two-stage relational network DEA model: A simulation study (2021) Operational Research. Cited 2 times.Barros, C.P., Assaf, A., Sá-Earp, F. Brazilian football league technical efficiency: A simar and wilson approach (2010) Journal of Sports Economics, 11 (6), pp. 641-651. Cited 42 times. doi: 10.1177/1527002509357530(2013) A language and environment for statistical computing. Cited 135562 times. R CORE TEAM R. R Foundation for Statistical Computing, Vienna, AustriaRossi, G., Goossens, D., Di Tanna, G.L., Addesa, F. Football team performance efficiency and effectiveness in a corruptive context: the Calciopoli case (2019) European Sport Management Quarterly, 19 (5), pp. 583-604. Cited 10 times. http://www.tandf.co.uk/journals/titles/16184742.asp doi: 10.1080/16184742.2018.1553056SANCHEZ, G. (2013) PLS Path Modeling with R. Cited 610 times. Berkeley, Trowchez Editions, R package version 0.4.9Santín, D. Measuring the technical efficiency of football legends: Who were Real Madrid's all-time most efficient players? (Open Access) (2014) International Transactions in Operational Research, 21 (3), pp. 439-452. Cited 17 times. http://www.wiley.com/bw/journal.asp?ref=0969-6016 doi: 10.1111/itor.12082Sharma, P.N., Shmueli, G., Sarstedt, M., Danks, N., Ray, S. Prediction-Oriented Model Selection in Partial Least Squares Path Modeling (2021) Decision Sciences, 52 (3), pp. 567-607. Cited 87 times. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1540-5915 doi: 10.1111/deci.12329Terrien, M., Andreff, W. Organisational efficiency of national football leagues in Europe (2020) European Sport Management Quarterly, 20 (2), pp. 205-224. Cited 17 times. http://www.tandf.co.uk/journals/titles/16184742.asp doi: 10.1080/16184742.2019.1598455Tiedemann, T., Francksen, T., Latacz-Lohmann, U. Assessing the performance of German Bundesliga football players: A non-parametric metafrontier approach (Open Access) (2011) Central European Journal of Operations Research, 19 (4), pp. 571-587. Cited 111 times. doi: 10.1007/s10100-010-0146-7Villa, G., Lozano, S. Assessing the scoring efficiency of a football match (Open Access) (2016) European Journal of Operational Research, 255 (2), pp. 559-569. Cited 24 times. doi: 10.1016/j.ejor.2016.05.024Visbal-Cadavid, D., Mendoza, A.M., Hoyos, I.Q. 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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