Artificial intelligence in customer relationship management: bibliometric analysis

This study employs bibliometric analysis to investigate the landscape of research on artificial intelligence (AI) within customer relationship management (CRM). Utilising Scopus data comprising 766 articles published from 1992 to 2024 and employing VOSviewer 1.6.20 software, co-authorship, and co-occurrence keyword analysis were conducted to assess the prevalence, impact, and evolving trends in this field. The findings reveal a notable increase in the quantity and depth of research on AI in CRM, spanning diverse organisations and countries globally. The analysis identifies four key themes with significant research activity: the application of machine learning and deep learning in CRM, the utilisation of big data in CRM, and the integration of CRM with various data techniques. This review contributes a comprehensive overview of prior studies and highlights the developmental trajectories of AI within CRM, offering valuable insights for organisations, researchers, and scholars seeking to identify promising areas for further investigation.

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Publication Details

Journal
International Journal of Electronic Customer Relationship Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijecrm.2025.148918
Primary Topic
Business and Economic Development
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in customer relationship management: bibliometric analysis

Nguyen Van Thanh Truong, Tran Cong Toan
International Journal of Electronic Customer Relationship Management
Business and Economic Development
article

Artificial intelligence in customer relationship management: bibliometric analysis

Nguyen Van Thanh Truong, Tran Cong Toan
article en

Abstract

This study employs bibliometric analysis to investigate the landscape of research on artificial intelligence (AI) within customer relationship management (CRM). Utilising Scopus data comprising 766 articles published from 1992 to 2024 and employing VOSviewer 1.6.20 software, co-authorship, and co-occurrence keyword analysis were conducted to assess the prevalence, impact, and evolving trends in this field. The findings reveal a notable increase in the quantity and depth of research on AI in CRM, spanning diverse organisations and countries globally. The analysis identifies four key themes with significant research activity: the application of machine learning and deep learning in CRM, the utilisation of big data in CRM, and the integration of CRM with various data techniques. This review contributes a comprehensive overview of prior studies and highlights the developmental trajectories of AI within CRM, offering valuable insights for organisations, researchers, and scholars seeking to identify promising areas for further investigation.

International Journal of Electronic Customer Relationship ManagementVol. 15(3)
Industrial University of Ho Chi Minh City (VN)
Openalex Percentile: Top 63%
Business and Economic Development
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Artificial intelligence in customer relationship management: bibliometric analysis — Nguyen Van Thanh Truong, Tran Cong Toan · International Journal of Electronic Customer Relationship Management (2025) | TGRS Research Map | TGRS