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Linking technology readiness and customer engagement: an AI-enabled voice assistants investigation

Tejas R. Shah (Department of Marketing, Institute of Management, Nirma University, Ahmedabad, India)
Pradeep Kautish (Department of Marketing, Institute of Management, Nirma University, Ahmedabad, India)
Sandeep Walia (Department of Marketing, Institute of Management, Nirma University, Ahmedabad, India) (School of Hotel Management and Tourism, Lovely Professional University, Phagwara, India)

Foresight

ISSN: 1463-6689

Article publication date: 12 September 2023

Issue publication date: 16 January 2024

1183

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.

Keywords

Acknowledgements

The authors are thankful to the Editor-in-Chief, the Associate Editor, and three anonymous reviewers for their suggestions and feedback during the review process. The authors would further like to extend their gratitude to professor Subir Verma for unconditional administrative support and academic encouragement for this research endeavor.

Citation

Shah, T.R., Kautish, P. and Walia, S. (2024), "Linking technology readiness and customer engagement: an AI-enabled voice assistants investigation", Foresight, Vol. 26 No. 1, pp. 136-154. https://doi.org/10.1108/FS-10-2021-0195

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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