系统回顾
客户关系管理
知识管理
数据科学
计算机科学
管理科学
工程类
梅德林
政治学
数据库
法学
作者
Dervis Ozay,Mohammad Jahanbakht,Atefeh Shoomal,Shouyi Wang
标识
DOI:10.1080/17517575.2024.2351869
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.
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