Foroudi, Pantea, Robson, Matthew J., Marvi, Reza and Spyropoulou, Stavroula (2025). Enhancing Customer Engagement Through Artificial Intelligence Authenticity. Journal of Product Innovation management ,
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.
Publication DOI: | https://doi.org/10.1111/jpim.70008 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Marketing & Strategy College of Business and Social Sciences College of Business and Social Sciences > Aston Business School Aston University (General) |
Additional Information: | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2025 The Author(s). Journal of Product Innovation Management published by Wiley Periodicals LLC on behalf of Product Development & Management Association |
Uncontrolled Keywords: | customer engagement,expectation,speciesism,personalization,artificial intelligence |
Publication ISSN: | 1540-5885 |
Data Access Statement: | The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. |
Last Modified: | 01 Oct 2025 07:13 |
Date Deposited: | 30 Sep 2025 09:56 |
Full Text Link: | |
Related URLs: |
https://onlinel ... 1111/jpim.70008
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2025-09-28 |
Published Online Date: | 2025-09-28 |
Accepted Date: | 2025-09-13 |
Submitted Date: | 2023-11-14 |
Authors: |
Foroudi, Pantea
Robson, Matthew J. Marvi, Reza ( ![]() Spyropoulou, Stavroula |