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
Description
Summary: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.