Academic Journal
Unveiling customer expectations of chatbot interactions : a systematic literature review and research agenda
| Τίτλος: | Unveiling customer expectations of chatbot interactions : a systematic literature review and research agenda |
|---|---|
| Συγγραφείς: | Castillo, Daniela, Farrugia, Lawrence |
| Στοιχεία εκδότη: | Taylor & Francis Inc. |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | University of Malta: OAR@UM / L-Università ta' Malta |
| Θεματικοί όροι: | Chatbots, Customer relations -- Management -- Data processing, Consumer behavior, Customer services -- Technological innovations, Human-computer interaction, Expectation (Psychology) |
| Περιγραφή: | Chatbots have become pivotal in communications between the customer and the organization, offering continuous support by promptly addressing queries. However, despite their prevalence, many customers report unsatisfactory experiences. This study addresses this issue by conducting a systematic literature review that aims to identify and analyze customer expectations of chatbot interactions. Incorporating insights from 91 studies, our review reveals that the literature predominantly focuses on customer perceptions, or post-experience evaluations, rather than pre-interaction expectations. Leveraging existing categorizations, we present a conceptual framework that identifies two overarching dimensions of pre-interaction expectations: functional and experiential. We explore factors shaping these expectations, highlighting personal and situational influences. Our analysis highlights the complex ways in which different expectations combine to shape how customers interact with chatbots. Drawing on these insights, we propose a research agenda that outlines key gaps and future directions to advance understanding of customer expectations in AI-mediated service contexts. ; peer-reviewed |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| Relation: | Castillo, D., & Farrugia, L. (2025). Unveiling customer expectations of chatbot interactions : a systematic literature review and research agenda. International Journal of Human–Computer Interaction, 10.1080/10447318.2025.2588815.; https://www.um.edu.mt/library/oar/handle/123456789/141781 |
| DOI: | 10.1080/10447318.2025.2588815 |
| Διαθεσιμότητα: | https://www.um.edu.mt/library/oar/handle/123456789/141781 https://doi.org/10.1080/10447318.2025.2588815 |
| Rights: | info:eu-repo/semantics/openAccess ; The copyright of tis work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Αριθμός Καταχώρησης: | edsbas.CE0E27EE |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://www.um.edu.mt/library/oar/handle/123456789/141781# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: Unveiling customer expectations of chatbot interactions : a systematic literature review and research agenda – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Castillo%2C+Daniela%22">Castillo, Daniela</searchLink><br /><searchLink fieldCode="AR" term="%22Farrugia%2C+Lawrence%22">Farrugia, Lawrence</searchLink> – Name: Publisher Label: Publisher Information Group: PubInfo Data: Taylor & Francis Inc. – Name: DatePubCY Label: Publication Year Group: Date Data: 2025 – Name: Subset Label: Collection Group: HoldingsInfo Data: University of Malta: OAR@UM / L-Università ta' Malta – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+relations+--+Management+--+Data+processing%22">Customer relations -- Management -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+behavior%22">Consumer behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+services+--+Technological+innovations%22">Customer services -- Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Expectation+%28Psychology%29%22">Expectation (Psychology)</searchLink> – Name: Abstract Label: Description Group: Ab Data: Chatbots have become pivotal in communications between the customer and the organization, offering continuous support by promptly addressing queries. However, despite their prevalence, many customers report unsatisfactory experiences. This study addresses this issue by conducting a systematic literature review that aims to identify and analyze customer expectations of chatbot interactions. Incorporating insights from 91 studies, our review reveals that the literature predominantly focuses on customer perceptions, or post-experience evaluations, rather than pre-interaction expectations. Leveraging existing categorizations, we present a conceptual framework that identifies two overarching dimensions of pre-interaction expectations: functional and experiential. We explore factors shaping these expectations, highlighting personal and situational influences. Our analysis highlights the complex ways in which different expectations combine to shape how customers interact with chatbots. Drawing on these insights, we propose a research agenda that outlines key gaps and future directions to advance understanding of customer expectations in AI-mediated service contexts. ; peer-reviewed – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: Castillo, D., & Farrugia, L. (2025). Unveiling customer expectations of chatbot interactions : a systematic literature review and research agenda. International Journal of Human–Computer Interaction, 10.1080/10447318.2025.2588815.; https://www.um.edu.mt/library/oar/handle/123456789/141781 – Name: DOI Label: DOI Group: ID Data: 10.1080/10447318.2025.2588815 – Name: URL Label: Availability Group: URL Data: https://www.um.edu.mt/library/oar/handle/123456789/141781<br />https://doi.org/10.1080/10447318.2025.2588815 – Name: Copyright Label: Rights Group: Cpyrght Data: info:eu-repo/semantics/openAccess ; The copyright of tis work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. – Name: AN Label: Accession Number Group: ID Data: edsbas.CE0E27EE |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10447318.2025.2588815 Languages: – Text: English Subjects: – SubjectFull: Chatbots Type: general – SubjectFull: Customer relations -- Management -- Data processing Type: general – SubjectFull: Consumer behavior Type: general – SubjectFull: Customer services -- Technological innovations Type: general – SubjectFull: Human-computer interaction Type: general – SubjectFull: Expectation (Psychology) Type: general Titles: – TitleFull: Unveiling customer expectations of chatbot interactions : a systematic literature review and research agenda Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Castillo, Daniela – PersonEntity: Name: NameFull: Farrugia, Lawrence IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
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