Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method

The objective of this paper is to rank the competitiveness of tourist destinations based on different aggregation operators, specifically, the ordered weighted average (OWA) operator and the simple additive weighting (SAW) method. The use of these methods allows tourist destinations to be sorted acc...

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Autores:
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/12497
Acceso en línea:
https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/11413
https://repositorio.uptc.edu.co/handle/001/12497
Palabra clave:
Competitiveness
tourist destinations
SAW method
OWA operator
Competitividad
destinos turísticos
método SAW
operador OWA
Rights
License
Derechos de autor 2021 Martín Huesca-Gastélum, Martín León-Santiesteban
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spelling 2021-12-012024-07-05T18:53:02Z2024-07-05T18:53:02Zhttps://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/1141310.19053/01211048.11413https://repositorio.uptc.edu.co/handle/001/12497The objective of this paper is to rank the competitiveness of tourist destinations based on different aggregation operators, specifically, the ordered weighted average (OWA) operator and the simple additive weighting (SAW) method. The use of these methods allows tourist destinations to be sorted according to their competitiveness. In addition, it enables the generation of different scenarios that highlight the relative importance of each criterion. This information is useful for the government and recreation sites when generating different evaluations based on the specific characteristics of each municipality. An application of these methods to determine the competitiveness of the tourism destinations of Sinaloa, Mexico has been performed.  JEL Codes: D49, L83, C44 Received: 10/07/2020.  Accepted: 03/11/2020.  Published: 01/12/2021. El objetivo de este trabajo es clasificar la competitividad de los destinos turísticos en función de diferentes operadores de agregación, específicamente, el operador de promedio ponderado ordenado (OWA) y el método de ponderación aditiva simple (SAW). El uso de estos métodos permite clasificar los destinos turísticos de acuerdo con su competitividad. Además, permite la generación de diferentes escenarios que resaltan la importancia relativa de cada criterio. Esta información es útil para el gobierno y los sitios de recreación al generar diferentes evaluaciones basadas en las características específicas de cada municipio. Se realizó una aplicación de estos métodos para determinar la competitividad de los destinos turísticos de Sinaloa, México. Códigos JEL: D49, L83, C44 Recibido: 10/07/2020.  Aceptado: 03/11/2020.  Publicado: 01/12/2021. application/pdfengengUnidad Editorial UPTChttps://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/11413/11185Derechos de autor 2021 Martín Huesca-Gastélum, Martín León-Santiestebanhttp://creativecommons.org/licenses/by-nc/4.0http://purl.org/coar/access_right/c_abf24http://purl.org/coar/access_right/c_abf2Inquietud Empresarial; Vol. 21 No. 2 (2021): Inquietud Empresarial 21(2) Julio-Diciembre 2021: Special Issue on: "Business and Management on Innovation and Sustainability"; 15-34Inquietud Empresarial; Vol. 21 Núm. 2 (2021): Inquietud Empresarial 21(2) Julio-Diciembre 2021: Special Issue on: "Business and Management on Innovation and Sustainability"; 15-340121-1048Competitivenesstourist destinationsSAW methodOWA operatorCompetitividaddestinos turísticosmétodo SAWoperador OWARanking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW methodRanking de competitividad de los destinos turísticos: Un análisis utilizando el operador OWA y el método SAWinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a107http://purl.org/coar/version/c_970fb48d4fbd8a85Huesca-Gastélum, MartínLeón-Santiesteban, Martín001/12497oai:repositorio.uptc.edu.co:001/124972025-07-18 11:31:22.096metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
dc.title.es-ES.fl_str_mv Ranking de competitividad de los destinos turísticos: Un análisis utilizando el operador OWA y el método SAW
title Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
spellingShingle Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
Competitiveness
tourist destinations
SAW method
OWA operator
Competitividad
destinos turísticos
método SAW
operador OWA
title_short Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
title_full Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
title_fullStr Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
title_full_unstemmed Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
title_sort Ranking the competitiveness of tourist destinations: An analysis using the OWA operator and the SAW method
dc.subject.en-US.fl_str_mv Competitiveness
tourist destinations
SAW method
OWA operator
topic Competitiveness
tourist destinations
SAW method
OWA operator
Competitividad
destinos turísticos
método SAW
operador OWA
dc.subject.es-ES.fl_str_mv Competitividad
destinos turísticos
método SAW
operador OWA
description The objective of this paper is to rank the competitiveness of tourist destinations based on different aggregation operators, specifically, the ordered weighted average (OWA) operator and the simple additive weighting (SAW) method. The use of these methods allows tourist destinations to be sorted according to their competitiveness. In addition, it enables the generation of different scenarios that highlight the relative importance of each criterion. This information is useful for the government and recreation sites when generating different evaluations based on the specific characteristics of each municipality. An application of these methods to determine the competitiveness of the tourism destinations of Sinaloa, Mexico has been performed.  JEL Codes: D49, L83, C44 Received: 10/07/2020.  Accepted: 03/11/2020.  Published: 01/12/2021. 
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2024-07-05T18:53:02Z
dc.date.available.none.fl_str_mv 2024-07-05T18:53:02Z
dc.date.none.fl_str_mv 2021-12-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a107
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/11413
10.19053/01211048.11413
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/12497
url https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/11413
https://repositorio.uptc.edu.co/handle/001/12497
identifier_str_mv 10.19053/01211048.11413
dc.language.none.fl_str_mv eng
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/11413/11185
dc.rights.es-ES.fl_str_mv Derechos de autor 2021 Martín Huesca-Gastélum, Martín León-Santiesteban
http://creativecommons.org/licenses/by-nc/4.0
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf24
rights_invalid_str_mv Derechos de autor 2021 Martín Huesca-Gastélum, Martín León-Santiesteban
http://creativecommons.org/licenses/by-nc/4.0
http://purl.org/coar/access_right/c_abf24
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.es-ES.fl_str_mv Unidad Editorial UPTC
dc.source.en-US.fl_str_mv Inquietud Empresarial; Vol. 21 No. 2 (2021): Inquietud Empresarial 21(2) Julio-Diciembre 2021: Special Issue on: "Business and Management on Innovation and Sustainability"; 15-34
dc.source.es-ES.fl_str_mv Inquietud Empresarial; Vol. 21 Núm. 2 (2021): Inquietud Empresarial 21(2) Julio-Diciembre 2021: Special Issue on: "Business and Management on Innovation and Sustainability"; 15-34
dc.source.none.fl_str_mv 0121-1048
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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