Perceived anthropomorphism and purchase intention using artificial intelligence technology: examining the moderated effect of trust
Journal of Enterprise Information Management
ISSN: 1741-0398
Article publication date: 28 March 2023
Abstract
Purpose
This study explores features that impact consumers' purchase intention through artificial intelligence (AI), because it is believed that through artificial intelligence, consumers' intention to purchase grows significantly, especially in the retail sector, whereby retailers provide lucrative offers to motivate consumers. The study develops a theoretical framework based on media-richness theory to investigate the role of perceived anthropomorphism toward an intention to purchase products using AI.
Design/methodology/approach
The study is based on cross-sectional data through an online survey. The data have been analyzed using PLS-SEM and SPSS PROCESS macro.
Findings
The results show that consumers tend to demand anthropomorphized products to gain a better shopping experience and, therefore, demand features that attract and motivate them to purchase through artificial intelligence via mediating variables, such as perceived animacy and perceived intelligence. Moreover, trust in artificial intelligence moderates the relationship between perceived anthropomorphism and perceived animacy.
Originality/value
The study investigates and concludes with managerial and academic insights into consumer purchase intention through artificial intelligence in the retail and marketing sector.
Keywords
Acknowledgements
The authors would like to express their sincere gratitude for the support and guidance of the Editorial team and anonymous reviewers, who have provided their valuable suggestions and comments. Without their insightful comments, the authors would not have been able to present this paper in its existing form.
Citation
Malhotra, G. and Ramalingam, M. (2023), "Perceived anthropomorphism and purchase intention using artificial intelligence technology: examining the moderated effect of trust", Journal of Enterprise Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEIM-09-2022-0316
Publisher
:Emerald Publishing Limited
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