AI-capable relationship marketing: Shaping the future of customer relationships

Sanjit K. Roy, Ali N. Tehrani, Ameet Pandit, Chrysostomos Apostolidis and Subhasis Ray

Journal of Business Research, 2025, vol. 192, issue C

Abstract: This study explores the interlinkages between artificial intelligence (AI), dynamic capabilities, and relationship marketing (RM) outcomes. Drawing upon insights from dynamic capabilities and RM theory, this study delineates the strategies and initiatives organizations can adopt using machine learning (ML) and AI to enhance their adaptability to changing market dynamics and customer preferences, in order to develop and maintain stronger relationships with their customers. Based on qualitative data from 67 interviews with managers in different organizations in India, this study contributes to existing theoretical knowledge and managerial practices, as it proposes a comprehensive research framework that demonstrates how AI technologies can enhance customer relationships throughout the entire customer journey. More specifically, it adopts a dynamic capabilities lens to extend our understanding of the marketing applications of AI by conceptualizing the dual role of AI as (a) a distinct organizational capability and (b) an enabler of dynamic capabilities, improving firms’ position to sense, seize, and transform organizational resources and fortify customer relationships. Our findings also highlight several facilitators and barriers to the adoption of AI, both as a dynamic capability and as an enabler for RM.

Keywords: Artificial intelligence; Machine learning; Dynamic capabilities; Relationship marketing; Customer experience; Cost reduction (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:192:y:2025:i:c:s0148296325001328

DOI: 10.1016/j.jbusres.2025.115309

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