Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/12139
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dc.contributor.authorKautish, Pradeep-
dc.contributor.authorShah, Tejas R.-
dc.date.accessioned2024-05-27T09:23:21Z-
dc.date.available2024-05-27T09:23:21Z-
dc.date.issued2024-01-01-
dc.identifier.issn1463-6689-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/12139-
dc.descriptionVol. 26, No. 1, pp. 136-154en_US
dc.description.abstractPurpose – This paper aims to establish and empirically investigate a research model examining the effect of four dimensions of the technology readiness index – optimism, innovativeness, discomfort and insecurity – on customer engagement that further influences purchase intention in the context of online shopping through artificial intelligence voice assistants (AI VAs). Design/methodology/approach – Data were collected in India from 429 customers in a self-administered online survey. Data analysis uses the structural equation modelling technique. Findings – Technology readiness dimensions, e.g. optimism, innovativeness, discomfort and insecurity, are critical factors driving customer engagement. Customer engagement further results in purchase intention in online shopping through AI VAs. Research limitations/implications – This study adds to the literature by understanding how customers’ technology readiness levels drive engagement and purchase intention. However, this study includes customer engagement as a unidimensional construct. Further research can consist of customer engagement as a multidimensional construct. Practical implications – The findings offer guidelines for e-retailers to enhance customer engagement that matches their personality traits, thereby strengthening their purchase intention through AI VAs. Originality/value – The research contributes to the literature by empirically investigating a research model, revealing optimism, innovativeness, discomfort and insecurity as crucial parameters for customer engagement and purchase intention.en_US
dc.publisherForesighten_US
dc.subjectFaculty Paperen_US
dc.subjectFaculty Paper, Managementen_US
dc.subjectManagement, Faculty Paperen_US
dc.subjectVoice assistantsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectCustomer engagementen_US
dc.titleLinking technology readiness and customer engagement: an AI-enabled voice assistants investigationen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, IM

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