The Augmentation Effect of Artificial Intelligence

Detalhes bibliográficos
Autor(a) principal: Vorobeva, Darina
Data de Publicação: 2023
Outros Autores: Pinto, Diego Costa, António, Nuno, Mattila, Anna S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/153315
Resumo: Vorobeva, D., Pinto, D. C., António, N., & Mattila, A. S. (2023). The Augmentation Effect of Artificial Intelligence: Can AI Framing Shape Customer Acceptance of AI-based Services? Current Issues in Tourism. https://doi.org/10.1080/13683500.2023.2---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.
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spelling The Augmentation Effect of Artificial IntelligenceCan AI Framing Shape Customer Acceptance of AI-based Services?artificial intelligencefeeling economyhospitalitytourismtechnology acceptanceaugmentationGeography, Planning and DevelopmentTourism, Leisure and Hospitality ManagementSDG 8 - Decent Work and Economic GrowthVorobeva, D., Pinto, D. C., António, N., & Mattila, A. S. (2023). The Augmentation Effect of Artificial Intelligence: Can AI Framing Shape Customer Acceptance of AI-based Services? Current Issues in Tourism. https://doi.org/10.1080/13683500.2023.2---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.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNVorobeva, DarinaPinto, Diego CostaAntónio, NunoMattila, Anna S.2023-05-242024-10-01T00:00:00Z2023-05-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttp://hdl.handle.net/10362/153315eng1368-3500PURE: 59475269https://doi.org/10.1080/13683500.2023.2214353info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:35:52Zoai:run.unl.pt:10362/153315Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:55:14.433189Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The Augmentation Effect of Artificial Intelligence
Can AI Framing Shape Customer Acceptance of AI-based Services?
title The Augmentation Effect of Artificial Intelligence
spellingShingle The Augmentation Effect of Artificial Intelligence
Vorobeva, Darina
artificial intelligence
feeling economy
hospitality
tourism
technology acceptance
augmentation
Geography, Planning and Development
Tourism, Leisure and Hospitality Management
SDG 8 - Decent Work and Economic Growth
title_short The Augmentation Effect of Artificial Intelligence
title_full The Augmentation Effect of Artificial Intelligence
title_fullStr The Augmentation Effect of Artificial Intelligence
title_full_unstemmed The Augmentation Effect of Artificial Intelligence
title_sort The Augmentation Effect of Artificial Intelligence
author Vorobeva, Darina
author_facet Vorobeva, Darina
Pinto, Diego Costa
António, Nuno
Mattila, Anna S.
author_role author
author2 Pinto, Diego Costa
António, Nuno
Mattila, Anna S.
author2_role author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Vorobeva, Darina
Pinto, Diego Costa
António, Nuno
Mattila, Anna S.
dc.subject.por.fl_str_mv artificial intelligence
feeling economy
hospitality
tourism
technology acceptance
augmentation
Geography, Planning and Development
Tourism, Leisure and Hospitality Management
SDG 8 - Decent Work and Economic Growth
topic artificial intelligence
feeling economy
hospitality
tourism
technology acceptance
augmentation
Geography, Planning and Development
Tourism, Leisure and Hospitality Management
SDG 8 - Decent Work and Economic Growth
description Vorobeva, D., Pinto, D. C., António, N., & Mattila, A. S. (2023). The Augmentation Effect of Artificial Intelligence: Can AI Framing Shape Customer Acceptance of AI-based Services? Current Issues in Tourism. https://doi.org/10.1080/13683500.2023.2---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.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-24
2023-05-24T00:00:00Z
2024-10-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/153315
url http://hdl.handle.net/10362/153315
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1368-3500
PURE: 59475269
https://doi.org/10.1080/13683500.2023.2214353
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