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
- Institución
- Universidad Nacional de Misiones
- OAI Identificador
- oai:rid.unam.edu.ar:20.500.12219/2826
Ver los metadatos del registro completo
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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 |
format |
article |
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/ |
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openAccess |
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Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
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) instname:Universidad Nacional de Misiones |
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Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) |
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Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) |
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Universidad Nacional de Misiones |
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Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misiones |
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