BIBLIOMETRIC ANALYIS OF ARTIFICIAL INTELLIGENCE IN BUSINESS ECONOMICS

• Main Author: Ivan Novak
• Format: Article
• Language: English
• Published: University of Zagreb, Croatia / Faculty of Economics and Business / Department of Trade and International Business 2019-01-01
• Series: Poslovna Izvrsnost
• Subjects: artificial intelligence, business economics, content analysis, bibliometrics, HOMALS
• Online Access: https://hrcak.srce.hr/file/333923

Invention of artificial intelligence (AI) is certainly one of the most promising technological advancements in modern economy. General AI reaching singularity makes one imagine its disruptive influence. Once invented it is supposed to surpass all human cognitive capabilities. Nevertheless, narrow AI has already been widely applied encompassing many technologies. This paper aims to explore the research area of artificial intelligence with the emphasis on the business economics field. Data has been derived from the records extracted from the Web of Science which is one of the most relevant databases of scientific publications. Total number of extracted records published in the period from 1963-2019 was 1369. Results provide systemic overview of the most influential authors, seminal papers and the most important sources for AI publication. Additionally, using MCA (multiple correspondence analysis) results display the intellectual map of the research field.