From familiarity to acceptance: the impact of Generative Artificial Intelligence on consumer adoption of retail chatbots

dc.contributor.authorArce Urriza, Marta
dc.contributor.authorChocarro Eguaras, Raquel
dc.contributor.authorCortiñas Ugalde, Mónica
dc.contributor.authorMarcos Matas, Gustavo
dc.contributor.departmentGestión de Empresases_ES
dc.contributor.departmentEnpresen Kudeaketaeu
dc.contributor.departmentInstitute for Advanced Research in Business and Economics - INARBEen
dc.date.accessioned2025-01-21T17:17:37Z
dc.date.issued2025-01-17
dc.date.updated2025-01-21T16:59:08Z
dc.description.abstractThis study investigates the influence of Generative Artificial Intelligence (GenAI) on consumer adoption of retail chatbots, focusing on how GenAI impacts key adoption determinants, the role of familiarity and assessing its effects across different stages of the customer journey. We conducted two waves of surveys, one pre- and one post-GenAI integration, to compare consumer perceptions across three customer service tasks. Using the Service Robot Acceptance Model (SRAM) as a framework, we found that GenAI enhances consumer perceptions of chatbot usefulness, human-likeness, and familiarity, thereby increasing adoption intentions. However, trust remains largely unchanged, and privacy concerns have risen post-GenAI. Additionally, the relationships remain stable across customer journey stages, with familiarity playing a key role. Our findings extend SRAM to the retail context with GenAI, offering new insights into the temporal stability of chatbot adoption factors. It underscores familiarity's dual role (direct and indirect) in fostering adoption, while highlighting that GenAI impacts specific aspects of consumer interaction. These findings provide insights for retailers to leverage GenAI-powered chatbots to enhance customer engagement and satisfaction.en
dc.description.sponsorshipThis work is part of the project PID2019-108554RB-I00 funded by Spanish State Research Agency (AEI) 10.13039/501100011033 and the project TED2021-129513B-C21 funded by MCNI/AEI/10.13039/501100011033 and European Union “NextGenerationEU”/PRTR.
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/msworden
dc.identifier.citationArce-Urriza, M. Chocarro, R., Cortiñas, M., Marcos-Matás, G. (2025). From familiarity to acceptance: the impact of Generative Artificial Intelligence on consumer adoption of retail chatbots. Journal of Retailing Consumer Services, 84, 1-15. https://doi.org/10.1016/j.jretconser.2025.104234.
dc.identifier.doi10.1016/j.jretconser.2025.104234
dc.identifier.issn0969-6989
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/53029
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofJournal of Retailing and Consumer Services 84, 2025, 104234
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108554RB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//TED2021-129513B-C21/
dc.relation.publisherversionhttps://doi.org/10.1016/j.jretconser.2025.104234
dc.rights© 2025 The Authors. This is an open access article under the CC BY license.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGenerative artificial intelligenceen
dc.subjectChatbot adoptionen
dc.subjectRetail technologyen
dc.subjectConsumer familiarityen
dc.subjectPrivacy risken
dc.subjectService robot acceptance model (SRAM)en
dc.titleFrom familiarity to acceptance: the impact of Generative Artificial Intelligence on consumer adoption of retail chatbotsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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