Linking AI quality performance and customer engagement: The moderating effect of AI preference
Article
Article Title | Linking AI quality performance and customer engagement: The moderating effect of AI preference |
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ERA Journal ID | 19662 |
Article Category | Article |
Authors | Prentice, Catherine (Author), Weaven, Scott (Author) and Wong, IpKin Anthony (Author) |
Journal Title | International Journal of Hospitality Management |
Journal Citation | 90, pp. 1-10 |
Article Number | 102629 |
Number of Pages | 10 |
Year | 2020 |
Place of Publication | United Kingdom |
ISSN | 0278-4319 |
1873-4693 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ijhm.2020.102629 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S027843192030181X |
Abstract | Drawing upon affordance theory, this study positions artificial intelligence (AI) as a commercial service in examining its influence on customer engagement in the hotel context. In particular, we seek to understand linkages between customer perceptions of AI service quality, AI customer satisfaction and engagement. Given the multiplicity of services offered by service organisations, customers’ preference for AI service is modelled as a moderator of customer perceptions and attitudes towards AI. Data was collected from a sample of hotel customers in Australia who had previously used AI tools or services. Our results reveal a significant chain effect between AI service indicators, service quality perceptions, AI satisfaction and customer engagement. AI preference has a significant moderation effect on information quality and satisfaction. These findings provide new insights into the consumer services literature and have important implications for marketing practitioners. |
Keywords | AI preference; AI satisfaction; Artificial intelligence; Customer engagement; Service quality |
ANZSRC Field of Research 2020 | 350799. Strategy, management and organisational behaviour not elsewhere classified |
350699. Marketing not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Griffith University |
Sun Yat-sen University, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7833/linking-ai-quality-performance-and-customer-engagement-the-moderating-effect-of-ai-preference
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