Document Type
Article
Abstract
The interactions between artificial intelligence and business management have been one of the most critical and dynamic research areas in the field of business in recent years. This paper reviews related literature of artificial intelligence and business management, and studies the evolution of emerging trends by using CiteSpace to evaluate all relevant academic publications. The cluster, timezone and timeline visualizations have identified emerging trends of artificial intelligence and business management with three key topics: cost justification, big data, and decision-making. Cost justification is the hottest one in early years, followed by big data. In the last several years, decision-making is hot for artificial intelligence and business management.
Recommended Citation
Qiu, Rui; Hou, Shuhua; and Meng, Zhiyi, "Artificial Intelligence and Business Management: A Scientometric Analysis using CiteSpace" (2019). ICEB 2019 Proceedings (Newcastle Upon Tyne, UK). 20.
https://aisel.aisnet.org/iceb2019/20