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dc.contributor.authorOsburg, V-S
dc.contributor.authorYoganathan, V
dc.contributor.authorKunz, W
dc.contributor.authorTarba, S
dc.date.accessioned2022-07-14T14:36:14Z
dc.date.available2022-07-01
dc.date.available2022-07-14T14:36:14Z
dc.identifier.issn1552-7379
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/79498
dc.description.abstractAdvances in artificial intelligence (AI) are increasingly enabling firms to develop services that utilize autonomous vehicles (AVs). Yet, there are significant psychological barriers to adoption, and insights from extant literature are insufficient to understand customer emotions regarding AV services. To allow for a holistic exploration of customer perspectives, we synthesize multidisciplinary literature to develop the Customer Responses to Unmanned Intelligent-transport Services based on Emotions (CRUISE) framework, which lays the foundation for improved strategizing, targeting, and positioning of AV services. We subsequently provide empirical support for several propositions underpinning the CRUISE framework using representative multinational panel data (N = 27,565) and an implicit association test (N = 300). We discover four distinct customer segments based on their preferred degree of service autonomy and service risk. The segments also differ in terms of the valence and intensity of emotional responses to fully autonomous vehicle services. Additionally, exposure to positive information about AV services negatively correlates with the likelihood of membership in the two most resistant segments. Our contribution to service research is chiefly twofold; we provide: 1) a formal treatise of AV services, emphasizing their uniqueness and breadth of application, and 2) empirically validated managerial directions for effective strategizing based on the CRUISE framework.
dc.publisherSAGE Publicationsen_US
dc.relation.ispartofJournal of Service Research
dc.relation.isreplacedby123456789/79502
dc.relation.isreplacedbyhttps://qmro.qmul.ac.uk/xmlui/handle/123456789/79502
dc.rightsThis is a pre-copyedited, author-produced version accepted for publication in Journal of Service Research following peer review. The version of record is available https://journals.sagepub.com/doi/full/10.1177/10946705221118233
dc.subjectArtificial intelligence, service automation, driverless car, emotions, segmentationen_US
dc.titleCan (A)I Give You a Ride? Development and Validation of the CRUISE Framework for Autonomous Vehicle Servicesen_US
dc.typeArticleen_US
dc.rights.holder© The Author(s) 2022. Published by SAGE
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2022-07-01


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