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<title>Innovating data-driven tourism reputation management: methodological foundations of the tourism online reputation index (TORI)</title>
<creator>Puche Regaliza, Julio César</creator>
<creator>Marcilla Lombraña, Isabel</creator>
<creator>Antón Maraña, Paula</creator>
<creator>Arranz Val, Pablo</creator>
<subject>Smart tourism destinations</subject>
<subject>Tourism intelligence system</subject>
<subject>Inland rural tourism</subject>
<subject>Synthetic tourism index</subject>
<subject>Tourism decision making</subject>
<subject>Sustainable tourism development</subject>
<description>The widespread use of social media has significantly amplified the role of online&#xd;
reputations in shaping the image and competitiveness of tourism destinations. This&#xd;
study proposes an innovative methodology that combines big data techniques with&#xd;
geolocated user-generated content to develop a comprehensive tourism online reputation&#xd;
index (TORI). The TORI aims to quantify and monitor tourists’ perceptions&#xd;
of destinations in a structured and scalable way. The methodology integrates the&#xd;
cross-industry standard process for data mining (CRISP-DM) and knowledge discovery&#xd;
in databases (KDD) frameworks to ensure a rigorous, systematic approach&#xd;
to data collection, processing, and analysis. An ontology is developed to categorize&#xd;
and structure the diverse attraction points within destinations, and natural language&#xd;
processing (NLP) techniques are employed to perform sentiment analysis and generate&#xd;
tourist profiles on the basis of online reviews. The proposed methodology&#xd;
is validated through a case study in the province of Burgos, Spain, illustrating its&#xd;
practical relevance for enhancing data-driven decision-making in the context of&#xd;
smart tourism destinations (STDs). The results are presented through an interactive&#xd;
scorecard that facilitates intuitive interpretation by tourism stakeholders and&#xd;
supports strategic planning. From a theoretical perspective, this study contributes&#xd;
to the literature by offering a quantitative and standardized approach to measuring&#xd;
online reputation, addressing the lack of integrated tools and human-centered vision&#xd;
in current tourism research. In practice, it provides a replicable and adaptable solution&#xd;
for destination managers, particularly in rural and sparsely populated areas, to&#xd;
improve reputation management, support sustainable development, and strengthen&#xd;
destination competitiveness in the digital era.</description>
<date>2026-05-25</date>
<date>2026-05-25</date>
<date>2026-03</date>
<type>info:eu-repo/semantics/article</type>
<identifier>1098-3058</identifier>
<identifier>https://hdl.handle.net/10259/11715</identifier>
<identifier>10.1007/s40558-026-00368-0</identifier>
<identifier>1943-4294</identifier>
<language>eng</language>
<relation>Information Technology &amp; Tourism. 2026, V. 28, n. 1, 26</relation>
<relation>https://doi.org/10.1007/s40558-026-00368-0</relation>
<rights>http://creativecommons.org/licenses/by/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Atribución 4.0 Internacional</rights>
<publisher>Springer</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>