Managing Tourism Decision Overload Through Generative AI: A Multi-Platform Comparative Study of an Algerian Destination

DOI

10.2991/978-94-6239-711-8_34How to use a DOI?

Keywords

Generative AI; Tourism Decision Overload; Trip Planning; Recommender system; MENA tourism; Algeria

Abstract

Generative artificial intelligence is increasingly integrated into online travel platforms to support trip planning, yet limited research examines how commercial implementations address tourism decision overload in practice. This study conducts a qualitative, multi-platform comparative analysis of generative AI trip-planning tools on four major platforms—Booking.com, Tripadvisor, Google AI Mode Canvas, and Expedia Romie—using a standardized scenario: a 5-day trip to Algiers, for a solo traveler with mid-range budget and cultural interests. The analysis focuses on three dimensions: choice curation, information synthesis, and recommendation transparency. Results show that Tripadvisor and Google AI Mode most effectively reduced decision overload by generating comprehensive day-by-day itineraries that bundled dispersed information into actionable plans, while Booking.com provided strong accommodation support but weaker activity planning, and Expedia Romie underperformed due to data sparsity for this secondary MENA destination. Transparency emerged as a universal weakness: no platform systematically communicated recommendation logic or flagged potential AI errors. These findings contribute to understanding how platform-level design choices shape AI-mediated tourism decision-making and highlight the need for improved data coverage for MENA destinations, explicit transparency mechanisms, and bias mitigation strategies to ensure generative AI tools support diverse tourism ecosystems while preserving consumer trust and autonomy.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zerouati Maouahib
AU  - Bencharif Karima
PY  - 2026
DA  - 2026/06/24
TI  - Managing Tourism Decision Overload Through Generative AI: A Multi-Platform Comparative Study of an Algerian Destination
BT  - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
PB  - Atlantis Press
SP  - 365
EP  - 375
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-711-8_34
DO  - 10.2991/978-94-6239-711-8_34
ID  - Maouahib2026
ER  -