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AI-induced privacy concerns

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Resumo:Purpose This study explores the factors influencing customers’ willingness to disclose personal information (WDPI) in electronic banking (e-banking), with a focus on how fear of artificial intelligence (AI) moderates these relationships. Grounded in privacy calculus theory, the research model incorporates personalization, financial literacy, satisfaction and loyalty as key predictors of WDPI. Design/methodology/approach A survey was administered to 408 e-banking users in Portugal, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM). Findings Results show that personalization and loyalty have a positive impact on WDPI, while financial literacy negatively affects it. Satisfaction indirectly influences WDPI through loyalty. Fear of AI moderates two key pathways: it diminishes the positive effect of personalization and amplifies the negative impact of financial literacy on WDPI. The model accounts for 36% of the variance in WDPI. Originality/value This study advances the understanding of information disclosure in digital banking by integrating cognitive (e.g. financial literacy and personalization) and emotional (e.g. fear of AI) dimensions. It highlights how psychological responses to AI shape customer behavior, offering novel insights for e-banking service personalization strategies and privacy management.
Autores principais:de Matos, Celso Augusto
Outros Autores:Rohden, Simoni F.; Lourenço Azevedo, Ana Barbara
Assunto:Fear of AI Financial literacy Personalization Willingness to disclose personal information Marketing SDG 1 - No Poverty SDG 12 - Responsible Consumption and Production
Ano:2026
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
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author de Matos, Celso Augusto
author2 Rohden, Simoni F.
Lourenço Azevedo, Ana Barbara
author2_role author
author
author_facet de Matos, Celso Augusto
Rohden, Simoni F.
Lourenço Azevedo, Ana Barbara
author_role author
contributor_name_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
Associação Portuguesa para o Estudo do Quaternário (APEQ)
RUN
country_str PT
creators_json_txt [{\"Person.name\":\"de Matos, Celso Augusto\"},{\"Person.name\":\"Rohden, Simoni F.\"},{\"Person.name\":\"Lourenço Azevedo, Ana Barbara\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
Associação Portuguesa para o Estudo do Quaternário (APEQ)
RUN
datacite.creators.creator.creatorName.fl_str_mv de Matos, Celso Augusto
Rohden, Simoni F.
Lourenço Azevedo, Ana Barbara
datacite.date.Accepted.fl_str_mv 2026-05-27T00:00:00Z
datacite.date.available.fl_str_mv 2026-01-14T15:51:26Z
datacite.date.embargoed.fl_str_mv 2026-01-14T15:51:26Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Fear of AI
Financial literacy
Personalization
Willingness to disclose personal information
Marketing
SDG 1 - No Poverty
SDG 12 - Responsible Consumption and Production
datacite.titles.title.fl_str_mv AI-induced privacy concerns
examining the moderating effect of AI fear on customer data sharing
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
Associação Portuguesa para o Estudo do Quaternário (APEQ)
RUN
dc.creator.none.fl_str_mv de Matos, Celso Augusto
Rohden, Simoni F.
Lourenço Azevedo, Ana Barbara
dc.date.Accepted.fl_str_mv 2026-05-27T00:00:00Z
dc.date.available.fl_str_mv 2026-01-14T15:51:26Z
dc.date.embargoed.fl_str_mv 2026-01-14T15:51:26Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10362/198988
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Fear of AI
Financial literacy
Personalization
Willingness to disclose personal information
Marketing
SDG 1 - No Poverty
SDG 12 - Responsible Consumption and Production
dc.title.fl_str_mv AI-induced privacy concerns
examining the moderating effect of AI fear on customer data sharing
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Purpose This study explores the factors influencing customers’ willingness to disclose personal information (WDPI) in electronic banking (e-banking), with a focus on how fear of artificial intelligence (AI) moderates these relationships. Grounded in privacy calculus theory, the research model incorporates personalization, financial literacy, satisfaction and loyalty as key predictors of WDPI. Design/methodology/approach A survey was administered to 408 e-banking users in Portugal, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM). Findings Results show that personalization and loyalty have a positive impact on WDPI, while financial literacy negatively affects it. Satisfaction indirectly influences WDPI through loyalty. Fear of AI moderates two key pathways: it diminishes the positive effect of personalization and amplifies the negative impact of financial literacy on WDPI. The model accounts for 36% of the variance in WDPI. Originality/value This study advances the understanding of information disclosure in digital banking by integrating cognitive (e.g. financial literacy and personalization) and emotional (e.g. fear of AI) dimensions. It highlights how psychological responses to AI shape customer behavior, offering novel insights for e-banking service personalization strategies and privacy management.
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eu_rights_str_mv openAccess
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instname_str Universidade Nova de Lisboa
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organization_str_mv urn:organizationAcronym:unl
person_str_mv de Matos, Celso Augusto
Rohden, Simoni F.
Lourenço Azevedo, Ana Barbara
publishDate 2026
reponame_str Repositório Institucional da UNL
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spelling engenPurpose This study explores the factors influencing customers’ willingness to disclose personal information (WDPI) in electronic banking (e-banking), with a focus on how fear of artificial intelligence (AI) moderates these relationships. Grounded in privacy calculus theory, the research model incorporates personalization, financial literacy, satisfaction and loyalty as key predictors of WDPI. Design/methodology/approach A survey was administered to 408 e-banking users in Portugal, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM). Findings Results show that personalization and loyalty have a positive impact on WDPI, while financial literacy negatively affects it. Satisfaction indirectly influences WDPI through loyalty. Fear of AI moderates two key pathways: it diminishes the positive effect of personalization and amplifies the negative impact of financial literacy on WDPI. The model accounts for 36% of the variance in WDPI. Originality/value This study advances the understanding of information disclosure in digital banking by integrating cognitive (e.g. financial literacy and personalization) and emotional (e.g. fear of AI) dimensions. It highlights how psychological responses to AI shape customer behavior, offering novel insights for e-banking service personalization strategies and privacy management.application/pdfenAI-induced privacy concernsSubtitleenexamining the moderating effect of AI fear on customer data sharingde Matos, Celso AugustoRohden, Simoni F.Lourenço Azevedo, Ana BarbaraInformation Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)Associação Portuguesa para o Estudo do Quaternário (APEQ)HostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf0265-2323URNIsPartOfPURE: 146542942URNIsPartOfPURE UUID: 8dd38686-3b3e-4e49-ba53-a8681b18cec7URNIsPartOfcrossref: 10.1108/IJBM-05-2025-0403URNIsPartOfScopus: 105025450982URNIsPartOfWOS: 001636630000001DOIIsPartOf10.1108/IJBM-05-2025-04032026-01-14T15:51:26Z2026-05-272026-05-27T00:00:00ZHandlehttp://hdl.handle.net/10362/198988http://purl.org/coar/access_right/c_abf2open accessFear of AIFinancial literacyPersonalizationWillingness to disclose personal informationMarketingSDG 1 - No PovertySDG 12 - Responsible Consumption and Production809201 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/cc51b062-91ad-4a43-8278-598b16aaa3d0/download
spellingShingle AI-induced privacy concerns
de Matos, Celso Augusto
Fear of AI
Financial literacy
Personalization
Willingness to disclose personal information
Marketing
SDG 1 - No Poverty
SDG 12 - Responsible Consumption and Production
status SINGLETON
subject.fl_str_mv Fear of AI
Financial literacy
Personalization
Willingness to disclose personal information
Marketing
SDG 1 - No Poverty
SDG 12 - Responsible Consumption and Production
title AI-induced privacy concerns
title_full AI-induced privacy concerns
title_fullStr AI-induced privacy concerns
title_full_unstemmed AI-induced privacy concerns
title_short AI-induced privacy concerns
title_sort AI-induced privacy concerns
topic Fear of AI
Financial literacy
Personalization
Willingness to disclose personal information
Marketing
SDG 1 - No Poverty
SDG 12 - Responsible Consumption and Production
topic_facet Fear of AI
Financial literacy
Personalization
Willingness to disclose personal information
Marketing
SDG 1 - No Poverty
SDG 12 - Responsible Consumption and Production
url http://hdl.handle.net/10362/198988
visible 1