JOURNAL ARTICLE

Enhancing Customer Engagement Through Artificial Intelligence Authenticity

Pantea ForoudiMatthew J. RobsonReza MarviStavroula Spyropoulou

Year: 2025 Journal:   Journal of Product Innovation Management Vol: 43 (1)Pages: 76-98   Publisher: Wiley

Abstract

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.

Keywords:

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116
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Topics

AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence
Digital Marketing and Social Media
Social Sciences →  Social Sciences →  Sociology and Political Science
Organizational and Employee Performance
Physical Sciences →  Computer Science →  Artificial Intelligence

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