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

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.

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Publication Details

Journal
Journal of Business Research
Published
2025-03-11
DOI
https://doi.org/10.1016/j.jbusres.2025.115309
Citations
16
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
44.22
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article

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

Sanjit Kumar Roy, Ali N. Tehrani, Ameet Pandit, Chrysostomos Apostolidis et al.
16 citations
Journal of Business Research
Customer Service Quality and Loyalty
44.22
article

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

Sanjit Kumar Roy, Ali N. Tehrani, Ameet Pandit, Chrysostomos Apostolidis, Subhasis Ray
article en
16 citations

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.

Journal of Business ResearchVol. 192
Edith Cowan University (AU), Durham University (GB), Xavier School of Management (IN), University of Newcastle Australia (AU)
Openalex Percentile: Top 0%
Customer Service Quality and Loyalty
44.22
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AI-capable relationship marketing: Shaping the future of customer relationships — Sanjit Kumar Roy, Ali N. Tehrani, et al. · Journal of Business Research (2025) | TGRS Research Map | TGRS