ARTIFICIAL INTELLIGENCE IN BUSINESS AND ECONOMICS RESEARCH: TRENDS AND FUTURE

被引:43
作者
Luis Ruiz-Real, Jose [1 ]
Uribe-Toril, Juan [1 ]
Antonio Torres, Jose [2 ]
De Pablo, Jaime [1 ]
机构
[1] Univ Almeria, Fac Econ & Business, Almeria, Spain
[2] Univ Almeria, Dept Comp Sci, Almeria, Spain
基金
澳大利亚研究理事会; 英国工程与自然科学研究理事会; 美国国家科学基金会; 美国国家卫生研究院; 加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
artificial intelligence; business; economics; bibliometrics; research trends; decision-making; EXTREME LEARNING-MACHINE; NEURAL-NETWORKS; KNOWLEDGE; INNOVATION; RESPONSES; SCIENCE; INDEXES; SYSTEMS; DESIGN; EXPERT;
D O I
10.3846/jbem.2020.13641
中图分类号
F [经济];
学科分类号
02 ;
摘要
Artificial Intelligence is a disruptive technology developed during the 20th century, which has undergone an accelerated evolution, underpinning solutions to complex problems in the business world. Neural Networks, Machine Learning, or Deep Learning are concepts currently associated with terms such as digital marketing, decision making, industry 4.0 and business digital transformation. Interest in this technology will increase as the competitive advantages of the use of Artificial Intelligence by economic entities is realised. The aim of this research is to analyse the state-of-the-art research of Artificial Intelligence in business. To this end, a bibliometric analysis has been implement using the Web of Science and Scopus online databases. By using a fractional counting method, this paper identifies 11 clusters and the most frequent terms used in Artificial Intelligence research. The present study identifies the main trends in research on Artificial Intelligence in business and proposes future lines of inquiry.
引用
收藏
页码:98 / 117
页数:20
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