Enhancing Customer Engagement Through Artificial Intelligence Authenticity

Pantea Foroudi*, Matthew J. Robson, Reza Marvi, Stavroula Spyropoulou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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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.
Original languageEnglish
Number of pages23
JournalJournal of Product Innovation management
Early online date28 Sept 2025
DOIs
Publication statusE-pub ahead of print - 28 Sept 2025

Bibliographical note

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

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.

Keywords

  • customer engagement
  • expectation
  • speciesism
  • personalization
  • artificial intelligence

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