Vorobeva, DarinaPinto, Diego CostaAntónio, NunoMattila, Anna S.2023-05-292025-02-062024-05-181368-3500PURE: 59475269PURE UUID: 021ce0cf-8ab5-4333-978a-590129b6a38aScopus: 85160222243WOS: 000995146100001ORCID: /0000-0003-4418-9450/work/152551817http://hdl.handle.net/10362/153315Vorobeva, D., Pinto, D. C., António, N., & Mattila, A. S. (2024). The Augmentation Effect of Artificial Intelligence: Can AI Framing Shape Customer Acceptance of AI-based Services? Current Issues in Tourism, 27(10), 1551-1571. https://doi.org/10.1080/13683500.2023.2214353 ---%ABS2% ---This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia) , under the project – UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS and 2021.09496.BD.Although Artificial Intelligence is a big revolution in the tourism and hospitality industry, prior research provides little insight into how customers respond to AI replacement and how providers can mitigate AI aversion. Drawing on the Feeling Economy framework, three studies examine how customers react to a different framing of AI replacement (augmentation vs. substitution) compared to using only human employees, affecting their acceptance of AI-based services. The findings contribute to the tourism and hospitality literature by revealing that framing AI as augmentation (vs. substitution) can increase enjoyment and ease of use and improve AI acceptance. Consistent with the Feeling Economy account, the findings highlight the proposed mechanism of enjoyment and perceived ease of use underlying the AI framing effects. This research provides important theoretical and managerial implications for tourism and hospitality providers, helping them understand how to effectively introduce AI-based services to win customers’ acceptance.21499700engartificial intelligencefeeling economyhospitalitytourismtechnology acceptanceaugmentationGeography, Planning and DevelopmentTourism, Leisure and Hospitality ManagementSDG 8 - Decent Work and Economic Growthjournal article10.1080/13683500.2023.2214353https://www.scopus.com/pages/publications/85160222243https://www.webofscience.com/wos/woscc/full-record/WOS:000995146100001