Transforming Tourism: Leveraging Artificial Intelligence for Innovation in Saudi Arabia
The integration of artificial intelligence (AI) in the tourism industry has emerged as a focal point of research and discourse, promising transformative impacts across various facets of the sector. This study delves into the multifaceted dimensions surrounding AI integration in the context of the tourism industry, with a specific focus on Saudi Arabia. Central to the investigation are key themes encompassing perceptions, challenges, opportunities, ethical implications, organizational adaptation, and future directions. Through a combination of conceptual analysis and empirical inquiry, this research aims to unravel stakeholders' attitudes, beliefs, and expectations regarding AI's role and impact in tourism while also elucidating the technical, organizational, and cultural barriers hindering effective AI adoption. Moreover, the study explores the vast opportunities AI presents for enhancing operational efficiency, customer satisfaction, and competitive advantage within the Saudi Arabian tourism landscape. Ethical considerations pertaining to data privacy, algorithmic bias, and societal impacts are critically examined, alongside insights into organizational adaptation strategies required to leverage AI technologies effectively. Furthermore, the research endeavors to provide foresight into future directions of AI-driven tourism innovation, shedding light on emerging trends, regulatory frameworks, and technological advancements shaping the trajectory of the industry. By synthesizing conceptual analysis with empirical findings, this study aims to offer valuable insights and strategic guidance for stakeholders navigating the evolving AI landscape in the tourism sector of Saudi Arabia.
Authors
- Hanene Hammami
Institutions
- University of Tabuk (SA)
Publication Details
- Published
- 2025-04-13
- DOI
- https://doi.org/10.1109/iccit63348.2025.10989404
- Citations
- 2
- Primary Topic
- Socioeconomic Development in MENA
- Type
- article
- Field-Weighted Citation Impact
- 8.40