Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability.

Authors

  • Xavier Reinaldo-Virgili Universitat Oberta de Catalunya

DOI:

https://doi.org/10.47557/NSWK3556

Keywords:

tourism knowledge, artificial intelligence, big data, digital transformation, learning

Abstract

The text offers a comparative reading of two recent works: Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability (Guevara Plaza, Cerezo Medina, and Navarro Jurado, eds., 2024) and Tourism, Knowledge and Learning (Jernsand, Persson, and Lundberg, eds., 2023). Drawing on both publications, the review critically examines two contemporary modes of knowledge production in tourism: on the one hand, data analytics, artificial intelligence, and predictive approaches; on the other, epistemological, pedagogical, and experiential perspectives linked to learning, co-creation, and critical reflection. In this sense, the manuscript seeks to contribute a relevant discussion to current debates on digital transformation, emerging methodologies, and the construction of tourism knowledge.

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References

Bulchand-Gidumal, J., William Secin, E., O’Connor, P. y Buhalis, D. (2024). Artificial intelligence’s impact on hospitality and tourism marketing: Exploring key themes and addressing challenges. Current Issues in Tourism, 27(14), 2345-2362. https://doi.org/10.1080/13683500.2023.2229480

Campos, A. C., Mendes, J., Oom do Valle, P. y Scott, N. (2018). Co-creation of tourist experiences: A literature review. Current Issues in Tourism, 21(4), 369–400. https://doi.org/10.1080/13683500.2015.1081158

Cho, H. D. (2023). The truth about smart tourism: a qualitative research agenda. Journal of Smart Tourism, 3(4), 17–21. https://doi.org/10.52255/smarttourism.2023.3.4.3

Guevara Plaza, A. J., Cerezo Medina, A. y Navarro Jurado, E. (Eds.). (2024). Tourism and ICTs: advances in data science, artificial intelligence and sustainability. Springer.

Hart, C. (2018). Doing a literature review: Releasing the research imagination (2.ª ed.). SAGE Publications.

Hyland, K. (2004). Disciplinary discourses: Social interactions in academic writing. University of Michigan Press.

Nam, S. y Heo, J. (2025). Rethinking smartness in hospitality and tourism: a critical reflection. International Journal of Contemporary Hospitality Management, 37(9), 3121–3139. https://doi.org/10.1108/IJCHM-04-2025-0546

Mariani, M. y Baggio, R. (2022). Big data and analytics in hospitality and tourism: a systematic literature review. International Journal of Contemporary Hospitality Management, 34(1), 231–278. https://doi.org/10.1108/IJCHM-03-2021-0301

Sancho Núñez, J. C., Gómez-Pulido, J. A. y Robina Ramírez, R. (2024). Machine learning applied to tourism: A systematic review. WIREs Data Mining and Knowledge Discovery, 14(5), e1549. https://doi.org/10.1002/widm.1549

Milwood, P. A., Hartman-Caverly, S. y Roehl, W. S. (2023). A scoping study of ethics in artificial intelligence research in tourism and hospitality. En B. Ferrer-Rosell, D. Massimo, y K. Berezina (Eds.), Information and Communication Technologies in Tourism 2023 (pp. 243–254). Springer Nature. https://doi.org/10.1007/9783-031-25752-0_26

Minca, C. y Roelofsen, M. (2021). Becoming airbnbeings: on datafication and the quantified self in tourism. Tourism Geographies, 23(4), 743–764. https://doi.org/10.1080/14616688.2019.1686767

Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism. Annals of Tourism Research, 81, 102883. https://doi.org/10.1016/j.annals.2020.102883

Published

2026-07-21

How to Cite

Reinaldo-Virgili, X. (2026). Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability. Dimensiones turísticas, 10, 1-6. https://doi.org/10.47557/NSWK3556

Issue

Section

Reseñas