Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships

[EN] Judo is a complex sport where many key performance indicators from different ambits (tactic, technique, psychological, etc) impact over the final result of the combat. Then, in order to design optimal training plans for the athletes, decision-makers should carefully analyse the KPI not individu...

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Authors: Uriarte Marcos, Sugoi, Uriarte Marcos, Maier, Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023, Alfaro Saiz, Juan José|||0000-0003-2587-6853
Format: article
Publication Date:2020
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/169143
Online Access:https://riunet.upv.es/handle/10251/169143
Access Level:Open access
Keyword:Multi-criteria decision analysis techniques
KPI
Decision-making
Judo
ORGANIZACION DE EMPRESAS
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spelling Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationshipsUriarte Marcos, SugoiUriarte Marcos, MaierRodríguez Rodríguez, Raúl|||0000-0001-5133-7023Alfaro Saiz, Juan José|||0000-0003-2587-6853Multi-criteria decision analysis techniquesKPIDecision-makingJudoORGANIZACION DE EMPRESAS[EN] Judo is a complex sport where many key performance indicators from different ambits (tactic, technique, psychological, etc) impact over the final result of the combat. Then, in order to design optimal training plans for the athletes, decision-makers should carefully analyse the KPI not individually but globally, identifying and quantifying cause-effect relationships between them, being therefore able to align efforts and prioritise medium-long-term actions. In order to do this, and taking into account the difficulty of using statistical techniques because of not only the lack of historic data of the KPI but also due to the subjective nature of many of them, the multi-criteria decision analysis (MCDA) techniques come up as the most appropriate ones. There are many MCDA techniques that could be applied to solve this problem and then this research presents a three-step process to select and assess the most appropriate MCDA techniques using a recent framework. The process outcome nine MCDA techniques appropriate to solve the decision-making problem, being the Analytic Network Process the highest ranked and, therefore, the recommended to be used.IJAREMDepartamento de Organización de EmpresasCentro de Investigación en Gestión e Ingeniería de ProducciónEscuela Técnica Superior de Ingeniería IndustrialRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/169143reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1691432026-06-13T07:49:27Z
dc.title.none.fl_str_mv Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
title Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
spellingShingle Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
Uriarte Marcos, Sugoi
Multi-criteria decision analysis techniques
KPI
Decision-making
Judo
ORGANIZACION DE EMPRESAS
title_short Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
title_full Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
title_fullStr Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
title_full_unstemmed Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
title_sort Selection and assessment of Multi-criteria decision-analysis techniques to quantify elite judo Key Performance Indicators relationships
dc.creator.none.fl_str_mv Uriarte Marcos, Sugoi
Uriarte Marcos, Maier
Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023
Alfaro Saiz, Juan José|||0000-0003-2587-6853
author Uriarte Marcos, Sugoi
author_facet Uriarte Marcos, Sugoi
Uriarte Marcos, Maier
Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023
Alfaro Saiz, Juan José|||0000-0003-2587-6853
author_role author
author2 Uriarte Marcos, Maier
Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023
Alfaro Saiz, Juan José|||0000-0003-2587-6853
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Organización de Empresas
Centro de Investigación en Gestión e Ingeniería de Producción
Escuela Técnica Superior de Ingeniería Industrial
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Multi-criteria decision analysis techniques
KPI
Decision-making
Judo
ORGANIZACION DE EMPRESAS
topic Multi-criteria decision analysis techniques
KPI
Decision-making
Judo
ORGANIZACION DE EMPRESAS
description [EN] Judo is a complex sport where many key performance indicators from different ambits (tactic, technique, psychological, etc) impact over the final result of the combat. Then, in order to design optimal training plans for the athletes, decision-makers should carefully analyse the KPI not individually but globally, identifying and quantifying cause-effect relationships between them, being therefore able to align efforts and prioritise medium-long-term actions. In order to do this, and taking into account the difficulty of using statistical techniques because of not only the lack of historic data of the KPI but also due to the subjective nature of many of them, the multi-criteria decision analysis (MCDA) techniques come up as the most appropriate ones. There are many MCDA techniques that could be applied to solve this problem and then this research presents a three-step process to select and assess the most appropriate MCDA techniques using a recent framework. The process outcome nine MCDA techniques appropriate to solve the decision-making problem, being the Analytic Network Process the highest ranked and, therefore, the recommended to be used.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/169143
url https://riunet.upv.es/handle/10251/169143
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IJAREM
publisher.none.fl_str_mv IJAREM
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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