Consumers Acceptance of Artificially Intelligent (AI) Device Use in Service Delivery

Dogan Gursoy, Oscar Hengxuan Chi, Lu Lu, Robin Nunkoo*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This study develops and empirically tests a theoretical model of artificially intelligent (AI) device use acceptance (AIDUA) that aims to explain customers’ willingness to accept AI device use in service encounters. The proposed model incorporates three acceptance generation stages (primary appraisal, secondary appraisal, and outcome stage) and six antecedents (social influence, hedonic motivation, anthropomorphism, performance expectancy, effort expectancy, and emotion). Utilizing data collected from potential customers, the proposed AIDUA model is tested. Findings suggest that customers go through a three-step acceptance generation process in determining whether to accept the use of AI devices during their service interactions. Findings indicate that social influence and hedonic motivation are positively related to performance expectancy while anthropomorphism is positively related to effort expectancy. Both performance and effort expectancy are significant antecedents of customer emotions, which determines customers’ acceptance of AI device use in service encounters. This study provides a conceptual AI device acceptance framework that can be used by other researchers to better investigate AI related topics in the service context.
Original languageEnglish
JournalInternational Journal of Information Management
Volume49
Pages (from-to)157-169
Number of pages13
ISSN0268-4012
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes

Bibliographical note

Published online 9 April 2019.

Keywords

  • Artificial intelligence
  • AI devices
  • Technology
  • Intention
  • Adoption
  • Services

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