数据科学
现存分类群
大数据
市场调研
计算机科学
互联网
知识管理
管理科学
营销
业务
工程类
万维网
数据挖掘
进化生物学
生物
作者
Sanjeev Verma,Rohit Sharma,Subhamay Deb,Debojit Maitra
标识
DOI:10.1016/j.jjimei.2020.100002
摘要
Disruptive technologies such as the internet of things, big data analytics, blockchain, and artificial intelligence have changed the ways businesses operate. Of all the disruptive technologies, artificial intelligence (AI) is the latest technological disruptor and holds immense marketing transformation potential. Practitioners worldwide are trying to figure out the best fit AI solutions for their marketing functions. However, a systematic literature review can highlight the importance of artificial intelligence (AI) in marketing and chart future research directions. The present study aims to offer a comprehensive review of AI in marketing using bibliometric, conceptual and intellectual network analysis of extant literature published between 1982 and 2020. A comprehensive review of one thousand five hundred and eighty papers helped to identify the scientific actors' performance like most relevant authors and most relevant sources. Furthermore, co-citation and co-occurrence analysis offered the conceptual and intellectual network. Data clustering using the Louvain algorithm helped identify research sub-themes and future research directions to expand AI in marketing.
科研通智能强力驱动
Strongly Powered by AbleSci AI