Artificial Intelligence (AI)-based Customer Relationship Management (CRM): a comprehensive bibliometric and systematic literature review with outlook on future research

被引:5
作者
Ozay, Dervis [1 ]
Jahanbakht, Mohammad [1 ]
Shoomal, Atefeh [1 ]
Wang, Shouyi [1 ]
机构
[1] Univ Texas Arlington, Ind Mfg & Syst Engn, 500 West First St,Woolf Hall Room 420, Arlington, TX 76019 USA
关键词
Enterprise information system; artificial intelligence; customer relationship management; customer experience; bibliometric analysis; LIFETIME VALUE; SOCIAL MEDIA; MACHINE; PERFORMANCE; KNOWLEDGE; AI; SEGMENTATION; PREDICTION; NETWORK; TRENDS;
D O I
10.1080/17517575.2024.2351869
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Artificial Intelligence (AI) integration into Customer Relationship Management (CRM) within enterprise information systems (EIS) has provided businesses with transformative opportunities to improve customer engagement and operational efficiency. Due to the accelerating momentum of AI technologies and the digital evolution prompted by the COVID-19 pandemic, there has been an increase in AI-based CRM research, yet comprehensive systematic studies are still lacking. This study presents an overview of the historical developments, state-of-the-art and, existing research domains in the literature, utilizing bibliometric analysis of 810 scholarly articles over the last two decades. The literature has been categorised into four main clusters; (1) Data-Driven CRM Strategies; (2) Application of AI techniques to CRM activities; (3) Strategic implementation of AI into CRM; (4) Customer experience (CX) through AI-based CRM.
引用
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页数:40
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