dc.creator | Sánchez Franco, Manuel Jesús | es |
dc.creator | Sierra Rey-Tienda, María de la | es |
dc.date.accessioned | 2023-12-19T13:27:43Z | |
dc.date.available | 2023-12-19T13:27:43Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Sánchez 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.issn | 0025-1747 | es |
dc.identifier.uri | https://hdl.handle.net/11441/152696 | |
dc.description.abstract | Purpose – 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.sponsorship | Junta de Andalucía US-1380960 | es |
dc.format | application/pdf | es |
dc.format.extent | 37 p. | es |
dc.language.iso | eng | es |
dc.publisher | Emerald | es |
dc.relation.ispartof | Management Decision. | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Hotel | es |
dc.subject | Data visualising techniques | es |
dc.subject | Natural language processing | es |
dc.subject | Topic modelling | es |
dc.subject | Andalusia | es |
dc.title | The role of user-generated content in tourism decision-making: an exemplary study of Andalusia, Spain | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.relation.projectID | US-1380960 | es |
dc.relation.publisherversion | https://doi.org/10.1108/MD-06-2023-0966 | es |
dc.identifier.doi | 10.1108/MD-06-2023-0966 | es |
dc.journaltitle | Management Decision | es |
dc.contributor.funder | Junta de Andalucía | es |