The presence of Artificial Intelligence (AI) in the service context is bursting forth in numerous applications, leading customers to experience emotional reactions in important ways that have strategic implications for marketers. In this research, we reconceptualize the construct of customer delight in AI service interactions. Drawing on previous frameworks and seminal literature about AI service, customer delight, and literature on emotions, we applied a multimethod approach to unveil the elements of customer delight in AI service interactions, build a useful, novel scale to measure it, and test its effects on key relevant marketing outcomes. We also shed light on which aspects of customer delight are most relevant for different types of AI services. Finally, we give practical suggestions to managers and practitioners on how to make AI services delightful, drawing a useful roadmap in a rapidly evolving landscape.
Customer delight in AI-driven services / Grappi, Silvia; Romani, Simona; Monsurrò, Luigi; Querci, Ilaria; Bagozzi, Richard. - In: JOURNAL OF BUSINESS RESEARCH. - ISSN 0148-2963. - (2025), pp. 1-17. [10.1016/j.jbusres.2025.115808]
Customer delight in AI-driven services
Silvia Grappi;Luigi Monsurrò;
2025
Abstract
The presence of Artificial Intelligence (AI) in the service context is bursting forth in numerous applications, leading customers to experience emotional reactions in important ways that have strategic implications for marketers. In this research, we reconceptualize the construct of customer delight in AI service interactions. Drawing on previous frameworks and seminal literature about AI service, customer delight, and literature on emotions, we applied a multimethod approach to unveil the elements of customer delight in AI service interactions, build a useful, novel scale to measure it, and test its effects on key relevant marketing outcomes. We also shed light on which aspects of customer delight are most relevant for different types of AI services. Finally, we give practical suggestions to managers and practitioners on how to make AI services delightful, drawing a useful roadmap in a rapidly evolving landscape.| File | Dimensione | Formato | |
|---|---|---|---|
|
Grappi et al 2026.pdf
Accesso riservato
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
1.74 MB
Formato
Adobe PDF
|
1.74 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate

I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris




