JUCS - Journal of Universal Computer Science 29(12): 1439-1460, doi: 10.3897/jucs.101550

Artificial Intelligence as Catalyst for the Tourism Sector: A Literature Review

Anita Herrera^‡, Ángel Arroyo^‡, Alfredo Jiménez^§, Álvaro Herrero^‡

‡ University of Burgos, Burgos, Spain§ KEDGE Business School, Bordeaux, France

Corresponding author: Ángel Arroyo ( aarroyop@ubu.es )

This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.

Citation: Herrera A, Arroyo Á, Jiménez A, Herrero Á (2023) Artificial Intelligence as Catalyst for the Tourism Sector: A Literature Review. JUCS - Journal of Universal Computer Science 29(12): 1439-1460. https://doi.org/10.3897/jucs.101550

Abstract

The analysis of Artificial Intelligence techniques and models used in the tourism sector provides insightful information for the management and innovation of this industry. In this paper, we conduct a comprehensive review of the different techniques and models, in regards to Artificial Intelligence when applied to the tourism industry. Specifically, we present a categorization of Artificial Intelligence applications used in different areas of tourism. The results allow to recognize valid studies and useful tools for the activation and growth of the tourism sector, an industry that represents a significant increase in the Gross Domestic Product of various economies and supports the development of life conditions for their inhabitants. Artificial Intelligence applications generate more personalized travel experiences, improve the efficiency of tourism services and strengthen the tourism competitiveness of the destination.

Keywords

Artificial Intelligence, Machine Learning, tourism management, tourism innovation, tourism forecast, hospitality industry