Mostrar el registro sencillo del ítem

Artículo

dc.creatorSánchez Franco, Manuel Jesúses
dc.creatorSierra Rey-Tienda, María de laes
dc.date.accessioned2023-12-19T13:27:43Z
dc.date.available2023-12-19T13:27:43Z
dc.date.issued2023
dc.identifier.citationSánchez Franco, M.J. y Sierra Rey-Tienda, M.d.l. (2023). The role of user-generated content in tourism decision-making: an exemplary study of Andalusia, Spain. Management Decision. https://doi.org/10.1108/MD-06-2023-0966.
dc.identifier.issn0025-1747es
dc.identifier.urihttps://hdl.handle.net/11441/152696
dc.description.abstractPurpose – This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests’ preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness. Design/methodology/approach – This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests’ narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation. Findings – This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests’ perceptions and business performance and are essential for making informed decisions and staying competitive. Originality/value – This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.es
dc.description.sponsorshipJunta de Andalucía US-1380960es
dc.formatapplication/pdfes
dc.format.extent37 p.es
dc.language.isoenges
dc.publisherEmeraldes
dc.relation.ispartofManagement Decision.
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectHoteles
dc.subjectData visualising techniqueses
dc.subjectNatural language processinges
dc.subjectTopic modellinges
dc.subjectAndalusiaes
dc.titleThe role of user-generated content in tourism decision-making: an exemplary study of Andalusia, Spaines
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing)es
dc.relation.projectIDUS-1380960es
dc.relation.publisherversionhttps://doi.org/10.1108/MD-06-2023-0966es
dc.identifier.doi10.1108/MD-06-2023-0966es
dc.journaltitleManagement Decisiones
dc.contributor.funderJunta de Andalucíaes

FicherosTamañoFormatoVerDescripción
The_role_of_user_generated_con ...4.923MbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Atribución 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Atribución 4.0 Internacional