When algorithms become travel planners: Benchmarking Agentic Ai in Web 3.0 Tourism

IF 3.9 3区管理学 Q2 BUSINESS

Journal of Engineering and Technology Management Pub Date : 2026-04-01 Epub Date: 2026-04-06 DOI:10.1016/j.jengtecman.2026.101959

Samiha CHEMLI , Alessandra VITALE , Shekhar , Marco VALERI

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引用次数: 0

Abstract

This study aims to examine how an agentic AI (aAI) system performs as an autonomous travel planner compared to generative AI (GenAI) and Web 2.0 platforms, in order to assess whether increasing autonomy enhances efficiency, sustainability, and personalisation or merely amplifies bias and opacity. The research adopts a comparative performance analysis conducted across five travel scenarios, using identical input data for all three systems to ensure methodological consistency. The results show that the AI produces the most feasible, verifiable, and context-aware itineraries, outperforming the other systems in cost optimisation, time efficiency, sustainability, and constraint handling. By providing an empirical benchmark, this study extends existing research that has largely remained theoretical, offering practical insights into AI-mediated tourism planning. The findings also highlight key policy implications: the need for closer collaboration between public and private stakeholders, and for policymakers to enhance the accessibility and machine readability of business data, especially that of small enterprises and local providers, to foster inclusion in AI-driven travel recommendations and reduce the dominance of more visible actors.

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当算法成为旅行计划者：Web 3.0旅游中的代理Ai标杆

本研究旨在研究与生成式人工智能（GenAI）和Web 2.0平台相比，代理人工智能（aAI）系统作为自主旅行计划者的表现，以评估自主性的增强是提高了效率、可持续性和个性化，还是仅仅放大了偏见和不透明性。该研究采用了对五种旅行场景进行的比较性能分析，为所有三个系统使用相同的输入数据，以确保方法的一致性。结果表明，人工智能产生了最可行、可验证和环境感知的行程，在成本优化、时间效率、可持续性和约束处理方面优于其他系统。通过提供一个经验基准，本研究扩展了现有的理论研究，为人工智能介导的旅游规划提供了实践见解。调查结果还强调了关键的政策影响：公共和私营利益相关者之间需要更密切的合作，政策制定者需要提高商业数据的可访问性和机器可读性，特别是小企业和本地供应商的数据，以促进人工智能驱动的旅行推荐，并减少更明显的行为者的主导地位。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Engineering and Technology Management 管理科学-工程：工业

CiteScore

8.00

自引率

6.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management. The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning. The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.