Bibliometric study on the prediction of business failure through intelligent big data

Abstract

The objective of this study is to examine the possible impact of new approaches of artificial intelligence and big data in the identification of business failures, to evaluate its development and to explain how bibliometric analysis has changed the nature of the search between 2016 and 2021. The study methodology consisted of a bibliometric analysis of publications in the Web of Science database. The results indicate a significant increase in the number of publications since 2016, especially at the international level. In addition, the results provide an overview of research on the subject mainly focused on the disciplines of "Management", "Economics", "Business" and "Business Finance". Big data and artificial intelligence-based approaches are increasingly substantial substitutes for traditional techniques and are delivering incredibly encouraging results. In conclusion, this study contributes to the theoretical progress of the use of artificial intelligence and big data to improve the prediction of business failure, providing new insights and important insights.