Foroudi, P., Robson, M.J., Marvi, R. et al. (1 more author) (2025) Enhancing Customer Engagement Through Artificial Intelligence Authenticity. Journal of Product Innovation Management. ISSN: 0737-6782
Abstract
Given the limited research on the factors and mechanisms underlying artificial intelligence (AI) authenticity, we examine its use in fostering breakthrough knowledge and enhancing customer engagement. We devised a robust model grounded in mind perception and social exchange theories, with a focus on the outcomes of AI authenticity. Tested across 452 virtual health home stations, the findings reveal that both performance expectation and effort expectation serve as mediators between AI authenticity and customer engagement. This research provides managers with comprehensive insights into the defining attributes and operational mechanics of AI authenticity, thereby highlighting its critical importance in boosting customer engagement.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | artificial intelligence, customer engagement, expectation, personalization, speciesism |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Marketing Division (LUBS) |
Date Deposited: | 29 Sep 2025 10:25 |
Last Modified: | 29 Sep 2025 10:25 |
Status: | Published online |
Publisher: | Wiley |
Identification Number: | 10.1111/jpim.70008 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:232127 |