Recasting Service Quality for AI-Based Service

dc.contributor.authorNoor, N.
dc.contributor.authorRao Hill, S.
dc.contributor.authorTroshani, I.
dc.date.issued2022
dc.descriptionFirst published online: April 5, 2021
dc.description.abstractArtificial intelligence service agents (AISA), such as chatbots and virtual assistants, are becoming increasingly pervasive in service. Research to date has not adequately addressed how the unique nature of AISA shape consumers’ service quality expectations. A deeper understanding of AISA service quality is important for their successful deployment in the service sector. To address this gap, we reviewed marketing and information systems literatures and conducted qualitative in-depth interviews with 37 informants, inclusive of 28 AISA users and nine AISA experts. We developed a conceptual framework for how consumers use and evaluate AISA. Twelve service quality dimensions emerged from the qualitative evidence representing AISA service quality, two of which align with AISA’s unique characteristics. The study extends the service quality theory to a new context and offers fresh insights for theory and practice. It culminates with a research agenda to advance research on AISA service quality.
dc.description.statementofresponsibilityNurhafihz Noor, Sally Rao Hill, Indrit Troshani
dc.identifier.citationAustralasian Marketing Journal, 2022; 30(4):297-312
dc.identifier.doi10.1177/18393349211005056
dc.identifier.issn1441-3582
dc.identifier.issn1839-3349
dc.identifier.orcidNoor, N. [0000-0001-8502-5722]
dc.identifier.orcidRao Hill, S. [0000-0002-0118-2841]
dc.identifier.orcidTroshani, I. [0000-0002-4266-2833]
dc.identifier.urihttps://hdl.handle.net/2440/134857
dc.language.isoen
dc.publisherElsevier
dc.rights© 2022 by Australian and New Zealand Marketing Academy. Published by Elsevier Ltd. All rights reserved.
dc.source.urihttps://journals.sagepub.com/doi/10.1177/18393349211005056
dc.subjectservice quality; artificial intelligence; anthropomorphism; proactiveness
dc.titleRecasting Service Quality for AI-Based Service
dc.typeJournal article
pubs.publication-statusPublished

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