Ali, W.
ORCID: https://orcid.org/0000-0002-6200-8580, Kasturiratne, D.
ORCID: https://orcid.org/0009-0000-1959-0918, Ameer, I.
ORCID: https://orcid.org/0000-0002-2379-7863 and Bhaskar, S.
ORCID: https://orcid.org/0000-0002-8835-1918
(2026)
Generative AI in digital engagement: a quasi-experimental study of tourist sentiment.
The Service Industries Journal.
ISSN 1743-9507
doi: 10.1080/02642069.2026.2638226
Abstract/Summary
This study examines whether generative AI can enhance tourist sentiment in online reviews by acting as a consistent and scalable form of digital engagement. Using a quasi-experimental Difference-in-Differences design, we analysed 11,393 reviews collected for six months from five Indian restaurants in a UK tourist city, where one restaurant adopted ChatGPT-generated responses and four served as controls. Results show that AI mediated responses produced a significant improvement in tourist sentiment, with similar effects across both social (Google, Facebook) and delivery-oriented platforms (Deliveroo, Just Eat, Uber Eats). Response features such as tone, personalisation, and length had limited additional influence, indicating that the presence of a response matters more than its specific stylistic qualities. The findings suggest that GAI-mediated responses influence tourist sentiment primarily by signalling organisational attentiveness and relational legitimacy, rather than through nuanced stylistic features of the response. The study demonstrates how AI can support post-visit engagement in tourism settings and offers practical guidance for firms seeking efficient strategies to manage online reviews and strengthen their digital service presence.
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| Item Type | Article |
| URI | https://centaur.reading.ac.uk/id/eprint/128929 |
| Identification Number/DOI | 10.1080/02642069.2026.2638226 |
| Refereed | Yes |
| Divisions | Life Sciences > School of Agriculture, Policy and Development > Department of Agri-Food Economics & Marketing |
| Publisher | Routledge |
| Download/View statistics | View download statistics for this item |
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