What does this research mean for the field?

Scholarly research on AI in tourism is increasingly focused on AI-driven personalization, chatbots, and large language models, alongside a growing emphasis on ethical considerations such as algorithmic bias and data privacy. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Examine the transformative role of artificial intelligence in advancing personalization and efficiency within the tourism industry, while identifying research gaps and future priorities.

September 5, 2026Journal of Hospitality and Tourism Technology

AI-powered enhancement of tourist experiences through personalization: a bibliometric study

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Authors

KKKasra Khaliliadl CDCarmen De‐Pablos‐Heredero AOAlicia Orea-Giner

Discussion

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Overview

Bibliometric analysis reveals seven thematic clusters in AI-driven tourism personalization, highlighting emerging focuses on large language models and ethical concerns like algorithmic bias.

Key Points

Examine the transformative role of artificial intelligence in advancing personalization and efficiency within the tourism industry, while identifying research gaps and future priorities.
Conducted a bibliometric analysis of 185 peer-reviewed articles indexed in Web of Science and Scopus published between 2014 and 2024.
Performed keyword co-occurrence network analysis using VOSviewer to map key thematic clusters and research trends.
Identified seven distinct thematic clusters centered on AI personalization, interactive chatbots, large language models, and hybrid recommender systems.
Documented a growing academic focus on ethical challenges, notably algorithmic bias and consumer data privacy in automated tourism systems.

Cite This Study

Khaliliadl et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd49d6b95aff0620ec664 https://doi.org/10.1108/jhtt-01-2025-0096

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September 5, 2026Journal of Hospitality and Tourism Technology

AI-powered enhancement of tourist experiences through personalization: a bibliometric study

View Full Paper

Ask AI

Bookmark

Authors

KKKasra Khaliliadl CDCarmen De‐Pablos‐Heredero AOAlicia Orea-Giner

Discussion

Member takes

Overview

Bibliometric analysis reveals seven thematic clusters in AI-driven tourism personalization, highlighting emerging focuses on large language models and ethical concerns like algorithmic bias.

Key Points

Examine the transformative role of artificial intelligence in advancing personalization and efficiency within the tourism industry, while identifying research gaps and future priorities.
Conducted a bibliometric analysis of 185 peer-reviewed articles indexed in Web of Science and Scopus published between 2014 and 2024.
Performed keyword co-occurrence network analysis using VOSviewer to map key thematic clusters and research trends.
Identified seven distinct thematic clusters centered on AI personalization, interactive chatbots, large language models, and hybrid recommender systems.
Documented a growing academic focus on ethical challenges, notably algorithmic bias and consumer data privacy in automated tourism systems.

Cite This Study

Khaliliadl et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd49d6b95aff0620ec664 https://doi.org/10.1108/jhtt-01-2025-0096

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