The tourist demand of the hotel chain. Time series for a forecast model

Autores
Fernández López, Reinier; Vilalta Alonso, José Alberto; Quintero Silverio, Arely; Díaz González, Ledy
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Fernández López, Reinier. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.
Fil: Vilalta Alonso, José Alberto. Technological University of Havana José Antonio Echeverría; Cuba.
Fil: Quintero Silverio, Arely. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.
Fil: Díaz González, Ledy. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.
In an increasingly uncertain world where world dynamics accelerates the way of managing processes in any sector, the forecast of tourist demand becomes very important. In this sense, the present research aims to forecast the tourist demand of the Cuban Hotel Chain of Pinar del Río, Cuba, until December 2019, through the use of time series techniques, which facilitate planning and decision-making. in this sector and in this way work towards the achievement of an integration in the productive chains, considering that tourism is one of the socioeconomic activities that activates many other sectors of production and services, as well as predicting the behavior of tourism. For this, the quantitative research method was used as the guiding method, based on the Box - Jenkins methodology and the Holt - Winters exponential smoothing method. It is also possible to characterize tourism management taking into consideration two indicators: cost per weight and average income per tourist, referring to efficiency and effectiveness respectively. In addition, a multivariate analysis of time series was carried out that made it possible to characterize the tourist activity in four fundamental stages in the hotel chain taken as the object of study.
Fuente
Visión de Futuro (Misiones), 1-2021; 25(1): pp. 133-154. https://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/index
Materia
Tourist demand
Efficacy
Efficiency
Time series
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución-NoComercial-CompartirIgual 4.0 Internacional
Repositorio
Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
Institución
Universidad Nacional de Misiones
OAI Identificador
oai:rid.unam.edu.ar:20.500.12219/2826

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spelling The tourist demand of the hotel chain. Time series for a forecast modelFernández López, ReinierVilalta Alonso, José AlbertoQuintero Silverio, ArelyDíaz González, LedyTourist demandEfficacyEfficiencyTime seriesFil: Fernández López, Reinier. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.Fil: Vilalta Alonso, José Alberto. Technological University of Havana José Antonio Echeverría; Cuba.Fil: Quintero Silverio, Arely. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.Fil: Díaz González, Ledy. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.In an increasingly uncertain world where world dynamics accelerates the way of managing processes in any sector, the forecast of tourist demand becomes very important. In this sense, the present research aims to forecast the tourist demand of the Cuban Hotel Chain of Pinar del Río, Cuba, until December 2019, through the use of time series techniques, which facilitate planning and decision-making. in this sector and in this way work towards the achievement of an integration in the productive chains, considering that tourism is one of the socioeconomic activities that activates many other sectors of production and services, as well as predicting the behavior of tourism. For this, the quantitative research method was used as the guiding method, based on the Box - Jenkins methodology and the Holt - Winters exponential smoothing method. It is also possible to characterize tourism management taking into consideration two indicators: cost per weight and average income per tourist, referring to efficiency and effectiveness respectively. In addition, a multivariate analysis of time series was carried out that made it possible to characterize the tourist activity in four fundamental stages in the hotel chain taken as the object of study.Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración2021-01-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttps://hdl.handle.net/20.500.12219/2826https://doi.org/10.36995/j.visiondefuturo.2021.25.01.004.enhttps://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/article/view/453/342Visión de Futuro (Misiones), 1-2021; 25(1): pp. 133-154. https://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/indexreponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)instname:Universidad Nacional de Misionesenginfo:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/2025-10-16T10:47:00Zoai:rid.unam.edu.ar:20.500.12219/2826instacron:UNAMInstitucionalhttps://rid.unam.edu.ar/Universidad públicahttps://www.unam.edu.ar/https://rid.unam.edu.ar/oai/rsnrdArgentinaopendoar:2025-10-16 10:47:00.56Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misionesfalse
dc.title.none.fl_str_mv The tourist demand of the hotel chain. Time series for a forecast model
title The tourist demand of the hotel chain. Time series for a forecast model
spellingShingle The tourist demand of the hotel chain. Time series for a forecast model
Fernández López, Reinier
Tourist demand
Efficacy
Efficiency
Time series
title_short The tourist demand of the hotel chain. Time series for a forecast model
title_full The tourist demand of the hotel chain. Time series for a forecast model
title_fullStr The tourist demand of the hotel chain. Time series for a forecast model
title_full_unstemmed The tourist demand of the hotel chain. Time series for a forecast model
title_sort The tourist demand of the hotel chain. Time series for a forecast model
dc.creator.none.fl_str_mv Fernández López, Reinier
Vilalta Alonso, José Alberto
Quintero Silverio, Arely
Díaz González, Ledy
author Fernández López, Reinier
author_facet Fernández López, Reinier
Vilalta Alonso, José Alberto
Quintero Silverio, Arely
Díaz González, Ledy
author_role author
author2 Vilalta Alonso, José Alberto
Quintero Silverio, Arely
Díaz González, Ledy
author2_role author
author
author
dc.subject.none.fl_str_mv Tourist demand
Efficacy
Efficiency
Time series
topic Tourist demand
Efficacy
Efficiency
Time series
dc.description.none.fl_txt_mv Fil: Fernández López, Reinier. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.
Fil: Vilalta Alonso, José Alberto. Technological University of Havana José Antonio Echeverría; Cuba.
Fil: Quintero Silverio, Arely. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.
Fil: Díaz González, Ledy. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.
In an increasingly uncertain world where world dynamics accelerates the way of managing processes in any sector, the forecast of tourist demand becomes very important. In this sense, the present research aims to forecast the tourist demand of the Cuban Hotel Chain of Pinar del Río, Cuba, until December 2019, through the use of time series techniques, which facilitate planning and decision-making. in this sector and in this way work towards the achievement of an integration in the productive chains, considering that tourism is one of the socioeconomic activities that activates many other sectors of production and services, as well as predicting the behavior of tourism. For this, the quantitative research method was used as the guiding method, based on the Box - Jenkins methodology and the Holt - Winters exponential smoothing method. It is also possible to characterize tourism management taking into consideration two indicators: cost per weight and average income per tourist, referring to efficiency and effectiveness respectively. In addition, a multivariate analysis of time series was carried out that made it possible to characterize the tourist activity in four fundamental stages in the hotel chain taken as the object of study.
description Fil: Fernández López, Reinier. University of Pinar del Río Hermanos Saíz Monte de Oca; Cuba.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-29
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
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status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12219/2826
https://doi.org/10.36995/j.visiondefuturo.2021.25.01.004.en
https://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/article/view/453/342
url https://hdl.handle.net/20.500.12219/2826
https://doi.org/10.36995/j.visiondefuturo.2021.25.01.004.en
https://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/article/view/453/342
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
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dc.publisher.none.fl_str_mv Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración
publisher.none.fl_str_mv Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración
dc.source.none.fl_str_mv Visión de Futuro (Misiones), 1-2021; 25(1): pp. 133-154. https://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/index
reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
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reponame_str Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
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