2026-05-26T14:05:08Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/117152026-05-26T00:05:42Zcom_10259_6193com_10259_4147com_10259.4_106com_10259_2604col_10259_6194
Puche Regaliza, Julio César
821
600
0000-0002-7961-3031
Marcilla Lombraña, Isabel
685b50ef-990c-45f9-973a-8162e7f39148
600
Antón Maraña, Paula
887
600
0000-0003-1299-1385
Arranz Val, Pablo
41
600
0000-0002-2608-9248
2026-05-25T10:56:58Z
2026-05-25T10:56:58Z
2026-03
1098-3058
https://hdl.handle.net/10259/11715
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.
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-Investigación
Turismo-Métodos estadísticos
Tourism-Research
Tourism-Statistical methods
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
THUMBNAIL
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10259/11715
oai:riubu.ubu.es:10259/11715
2026-05-26 02:05:42.498
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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