The Augmentation Effect of Artificial Intelligence
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/153315 |
Summary: | Vorobeva, 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. |
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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. (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.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNVorobeva, DarinaPinto, Diego CostaAntónio, NunoMattila, Anna S.2025-02-06T01:31:50Z2024-05-182024-05-18T00:00:00Zinfo: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/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-10T01:35:58Zoai:run.unl.pt:10362/153315Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:42:12.990736Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
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. (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. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-05-18 2024-05-18T00:00:00Z 2025-02-06T01:31:50Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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http://hdl.handle.net/10362/153315 |
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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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openAccess |
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21 application/pdf |
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