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Can generative artificial intelligence enhance brand performance in tourism? A mixed-methods study integrating service-dominant logic, social exchange theory, and uncanny valley theory
School of Management and Social Science, Haldia Institute of Technology, Haldia, India.
School of Management and Social Science, Haldia Institute of Technology, Haldia, India.
Sunway Business School, Sunway University, Selangor, Malaysia; ASU-Cintana Alliance Global Partner Affiliate Faculty, Arizona State University, AZ, Tempe, United States; School of Business, Law and Entrepreneurship, Swinburne University of Technology, VIC, Hawthorn, Australia; Global Research Centre, Sungkyunkwan University, Gyeonggi, Suwon, South Korea; Jaipuria Institute of Management, Uttar Pradesh, Lucknow, India.
Jindal Global Business School, O P Jindal Global University, Sonepat, India; Plymouth Business School, University of Plymouth, Plymouth, United Kingdom.
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2026 (English)In: Tourism Management Perspectives, ISSN 2211-9736, E-ISSN 2211-9744, Vol. 60, article id 101442Article in journal (Refereed) Published
Abstract [en]

Generative artificial intelligence (GAI) holds transformative potential for the tourism industry, though its effects on brand performance, a critical driver of competitive advantage, remain underexplored. This study investigates the impact of GAI on brand performance in tourism, drawing on service-dominant (S-D) logic, social exchange theory, and uncanny valley theory as theoretical lenses and employing a mixed-methods approach involving interviews and surveys. Qualitative themes include GAI service design, GAI service expectation, tourist engagement, and brand performance, which collectively provide a comprehensive view of GAI’s role in tourism. Quantitative results further reveal that GAI positively influences brand performance, which evidences its impact in tourism, and that anthropomorphism moderates tourist engagement, such that GAI with greater humanlike attributes engages tourists more effectively. In turn, these insights enrich the tourism literature and offer practical guidance for tourism managers in developing future strategies involving GAI.

Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 60, article id 101442
Keywords [en]
Anthropomorphism, Brand performance, Generative artificial intelligence, Service design, Service expectation, Tourist engagement
National Category
Business Administration
Identifiers
URN: urn:nbn:se:umu:diva-248897DOI: 10.1016/j.tmp.2025.101442Scopus ID: 2-s2.0-105027248712OAI: oai:DiVA.org:umu-248897DiVA, id: diva2:2044258
Available from: 2026-03-09 Created: 2026-03-09 Last updated: 2026-03-09Bibliographically approved

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Hollebeek, Linda

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