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

Zerouati Maouahib () and Bencharif Karima ()
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Zerouati Maouahib: Setif 1 University-Ferhat ABBAS, Department of Commercial Sciences, Faculty of Economics
Bencharif Karima: Mohamed Khider University, Department of Commercial Sciences, Faculty of Economics

A chapter in Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026), 2026, pp 365-375 from Springer

Abstract: 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.

Keywords: Generative AI; Tourism Decision Overload; Trip Planning; Recommender system; MENA tourism; Algeria (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-94-6239-711-8_34

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