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Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior

Rodgers, Waymond; Yeung, Fannie; Odindo, Christopher; Degbey, William Y.


Fannie Yeung

Christopher Odindo

William Y. Degbey


This study examines the digital transformation effects of artificial intelligence (AI)-based facial and music biometrics on customers' cognitive and emotional states and how these effects influence their behavioral responses on value creation. Using a real-life major optical retailer's store in China, 386 customers participated in a five-day experiment with different types of music (enhanced by music recognition biometrics). The findings show that for utilitarian type customers in an AI high-involvement purchase condition, music recognition biometric-induced emotion mediates cognition and behavioral intentions, while music does not influence emotion directly under this condition. Both likability and the tempo of music affect the impact of music on cognition. This study contributes to a better understanding of the relationship between cognition and emotion induced by AI-based facial and music biometrics systems in shaping customer behavior and adds to the atmospheric literature given the paucity of research in the context of the Chinese retail environment—now a significant retail market with global importance.


Rodgers, W., Yeung, F., Odindo, C., & Degbey, W. Y. (2021). Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior. Journal of business research, 126, 401-414.

Journal Article Type Article
Acceptance Date Dec 15, 2020
Online Publication Date Jan 18, 2021
Publication Date 2021-03
Deposit Date Jan 21, 2021
Publicly Available Date Oct 27, 2022
Journal Journal of Business Research
Print ISSN 0148-2963
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 126
Pages 401-414
Keywords Artificial intelligence; Atmospherics; Cognition; Emotion; Music; Retail
Public URL
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