Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/12139
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kautish, Pradeep | - |
dc.contributor.author | Shah, Tejas R. | - |
dc.date.accessioned | 2024-05-27T09:23:21Z | - |
dc.date.available | 2024-05-27T09:23:21Z | - |
dc.date.issued | 2024-01-01 | - |
dc.identifier.issn | 1463-6689 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/12139 | - |
dc.description | Vol. 26, No. 1, pp. 136-154 | en_US |
dc.description.abstract | Purpose – 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.publisher | Foresight | en_US |
dc.subject | Faculty Paper | en_US |
dc.subject | Faculty Paper, Management | en_US |
dc.subject | Management, Faculty Paper | en_US |
dc.subject | Voice assistants | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Customer engagement | en_US |
dc.title | Linking technology readiness and customer engagement: an AI-enabled voice assistants investigation | en_US |
dc.type | Faculty Papers | en_US |
Appears in Collections: | Faculty Papers, IM |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.