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Personalisation and user-centric experiences

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Abstract

This chapter explores the role of personalisation and artificial intelligence (AI) in shaping user experiences within the digital travel and tourism industry. As platforms like Uber and Airbnb leverage data-driven personalisation, they offer hyper-individualised services, meeting users’ expectations for convenience, relevance, and emotional connection. This chapter examines how AI, big data, and machine learning are used to deliver personalised travel experiences, emphasising the importance of user agency, data privacy, and ethical concerns such as algorithmic bias. It discusses the challenges these platforms face in ensuring transparency and inclusivity while maintaining consumer trust. By analysing case studies, this chapter outlines the benefits and complexities of personalisation and provides recommendations for building ethical, scalable, and user-centric systems in the tourism sector.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Host publication Subtitle

The Digital Marketplace

Original language

English

Pages from-to (Number of pages)

Pages 97-120 (24 pages)

Publication milestones

  • Accepted/In press - 01/01/2026

Publication status

Accepted/In press - 01/01/2026

Publisher

Routledge, United States, United Kingdom
9781041137832

ISBN (Electronic)

9781040585672

External Publication IDs

  • Scopus: 105039409415

Host publication title

Platform Economy in Tourism and Hospitality

Host publication editors

  • María Jesús Jerez-Jerez
  • Lidia Aguiar-Castillo
  • Rafael Pérez Jiménez