Artificial Intelligence and Management Decision Making: a Bibliometric Analysis

Abstract

The main thrust of this paper is to explore global trends in the topic of AI integration in management decision-making. Bibliometric data and information were carried mainly from 2000-2023 to determine the extent of studies performed during these years. Data was collected from the Lens database and 1,770 publications from different platforms were analyzed using VOSviewer. Findings revealed that; the highest number of publications were found in 2023 and mostly from journals. The most active author was Bingzhen Sun with 6 documents and the most topics of investigation are artificial intelligence and knowledge management respectively. In the aspect of top journals in the field, the Journal of Business Ethics topped the list and most of the Top 10 journals are found in notable publishers such as Springer, Talor and Francis, and Science Direct. The top three productive countries in the field include the United States, China, and the United Kingdom. Most publications were seen at the height of the COVID-19 pandemic, and the distribution of countries contributing to the field includes developed and emerging countries. While there is growing interest by scholars in publishing papers in 2019-2023 the researcher has found that there are still scarcities of diversity in co-authorship and bibliometric coupling involving different nations and regions. 2016-2019 accounted for more cases of bibliometric coupling than any other years from 1988-2023. Therefore, it is recommended that more studies be undertaken to address the scarcity of co-authorship and bibliometric coupling involving a diversity of countries like the Arabian and African regions. More studies can also be conducted in emerging countries to keep up with the trends in developed countries and more opportunities for collaboration.