2026-05-16T13:19:19Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/116252026-05-15T06:43:33Zcom_10259_5645com_10259_5086com_10259_2604col_10259_5646
Puche Regaliza, Julio César
821
600
0000-0002-7961-3031
Marcilla Lombraña, Isabel
685b50ef-990c-45f9-973a-8162e7f39148
Antón Maraña, Paula
887
600
0000-0003-1299-1385
Arranz Val, Pablo
41
600
0000-0002-2608-9248
2026-05-14T10:55:25Z
2026-05-14T10:55:25Z
2026-03
1098-3058
https://hdl.handle.net/10259/11625
10.1007/s40558-026-00368-0
1943-4294
The widespread use of social media has significantly amplified the role of online reputations in shaping the image and competitiveness of tourism destinations. This study proposes an innovative methodology that combines big data techniques with geolocated user-generated content to develop a comprehensive tourism online reputation index (TORI). The TORI aims to quantify and monitor tourists’ perceptions of destinations in a structured and scalable way. The methodology integrates the cross-industry standard process for data mining (CRISP-DM) and knowledge discovery in databases (KDD) frameworks to ensure a rigorous, systematic approach to data collection, processing, and analysis. An ontology is developed to categorize and structure the diverse attraction points within destinations, and natural language processing (NLP) techniques are employed to perform sentiment analysis and generate tourist profiles on the basis of online reviews. The proposed methodology is validated through a case study in the province of Burgos, Spain, illustrating its practical relevance for enhancing data-driven decision-making in the context of smart tourism destinations (STDs). The results are presented through an interactive scorecard that facilitates intuitive interpretation by tourism stakeholders and supports strategic planning. From a theoretical perspective, this study contributes to the literature by offering a quantitative and standardized approach to measuring online reputation, addressing the lack of integrated tools and human-centered vision in current tourism research. In practice, it provides a replicable and adaptable solution for destination managers, particularly in rural and sparsely populated areas, to improve reputation management, support sustainable development, and strengthen destination competitiveness in the digital era.
Open access funding provided by FEDER European Funds and the Junta de Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027.
Open access funding provided by FEDER European Funds and the Junta De Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027
application/pdf
eng
Springer
Information Technology & Tourism. 2026, V. 28, n. 1, 26
https://doi.org/10.1007/s40558-026-00368-0
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Smart tourism destinations
Tourism intelligence system
Inland rural tourism
Synthetic tourism index
Tourism decision making
Sustainable tourism development
Turismo
Tourism
Innovating data-driven tourism reputation management: methodological foundations of the tourism online reputation index (TORI)
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Information Technology & Tourism
28
1
https://ror.org/051jb1k20
Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE)
hybrid-oa
1
2349,58 EUR
Springer Nature
2025-01-01
2027-12-31
10.1007/s40558-026-00368-0
THUMBNAIL
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oai:riubu.ubu.es:10259/11625
2026-05-15 08:43:33.526
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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