Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms

Detalhes bibliográficos
Autor(a) principal: Goncalves, Ana Rita
Data de Publicação: 2024
Outros Autores: Pinto, Diego Costa, Shuqair, Saleh, Dalmoro, Marlon, Mattila, Anna S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10362/162858
Resumo: Goncalves, A. R., Pinto, D. C., Shuqair, S., Dalmoro, M., & Mattila, A. S. (in press). Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms: a Mixed-Method Approach. International Journal Of Information Management, 1-12. Article 102748. https://doi.org/10.1016/j.ijinfomgt.2023.102748 --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the projects - UIDB/04152/2020 and DSAIPA/DS/0113/2019 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
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spelling Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platformsa Mixed-Method ApproachArtificial IntelligenceAutonomyDecision-MakingPerformance ExpectancyStreaming PlatformsSDG 8 - Decent Work and Economic GrowthGoncalves, A. R., Pinto, D. C., Shuqair, S., Dalmoro, M., & Mattila, A. S. (in press). Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms: a Mixed-Method Approach. International Journal Of Information Management, 1-12. Article 102748. https://doi.org/10.1016/j.ijinfomgt.2023.102748 --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the projects - UIDB/04152/2020 and DSAIPA/DS/0113/2019 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.Although the empowerment of technology is of great value to society, little is known about its downstream effects on consumers' decisions. This research draws on the expectation–confirmation theory and autonomy in artificial intelligence (AI) and investigates how AI (vs. autonomous choice) has detrimental effects on consumer outcomes, creating an autonomy-technology tension — i.e., the conflict arising from AI technology diminishing consumers' autonomy in their choices. Four studies using a mixed-method approach reveal that the use of AI recommendations in streaming platforms creates an autonomy-technology tension that reduces consumers' performance expectancy, thus lowering their satisfaction. However, such effects are contingent on the nature of the AI recommendations. While a mismatch between AI recommendations and consumer preferences might backfire, AI's negative effect is mitigated when choices match consumers' preferences. We make significant theoretical and practical contributions to empirical research on consumers' sense of autonomy while interacting with AI.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNGoncalves, Ana RitaPinto, Diego CostaShuqair, SalehDalmoro, MarlonMattila, Anna S.2024-01-232026-01-23T00:00:00Z2024-01-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/162858eng0268-4012PURE: 82084780https://doi.org/10.1016/j.ijinfomgt.2023.102748info:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:17:51Zoai:run.unl.pt:10362/162858Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:48:17.331254Repositórios 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 Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
a Mixed-Method Approach
title Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
spellingShingle Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
Goncalves, Ana Rita
Artificial Intelligence
Autonomy
Decision-Making
Performance Expectancy
Streaming Platforms
SDG 8 - Decent Work and Economic Growth
title_short Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
title_full Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
title_fullStr Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
title_full_unstemmed Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
title_sort Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms
author Goncalves, Ana Rita
author_facet Goncalves, Ana Rita
Pinto, Diego Costa
Shuqair, Saleh
Dalmoro, Marlon
Mattila, Anna S.
author_role author
author2 Pinto, Diego Costa
Shuqair, Saleh
Dalmoro, Marlon
Mattila, Anna S.
author2_role author
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 Goncalves, Ana Rita
Pinto, Diego Costa
Shuqair, Saleh
Dalmoro, Marlon
Mattila, Anna S.
dc.subject.por.fl_str_mv Artificial Intelligence
Autonomy
Decision-Making
Performance Expectancy
Streaming Platforms
SDG 8 - Decent Work and Economic Growth
topic Artificial Intelligence
Autonomy
Decision-Making
Performance Expectancy
Streaming Platforms
SDG 8 - Decent Work and Economic Growth
description Goncalves, A. R., Pinto, D. C., Shuqair, S., Dalmoro, M., & Mattila, A. S. (in press). Artificial Intelligence vs. Autonomous Decision-Making in Streaming Platforms: a Mixed-Method Approach. International Journal Of Information Management, 1-12. Article 102748. https://doi.org/10.1016/j.ijinfomgt.2023.102748 --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the projects - UIDB/04152/2020 and DSAIPA/DS/0113/2019 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-23
2024-01-23T00:00:00Z
2026-01-23T00:00:00Z
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dc.language.iso.fl_str_mv eng
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PURE: 82084780
https://doi.org/10.1016/j.ijinfomgt.2023.102748
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