A Bibliometric Analysis of Financial Distress Research: Current Status, Emerging Trends

The rapid development of technology and extensive environmental changes have accelerated economic growth, and the increasing competition among enterprises has restricted access to profit and increased the probability of enterprises ' financial distress. Due to the effects of high costs of financial distress, its prediction has attracted the attention of researchers since the beginning. Therefore, this paper aims at a bibliometric analysis of financial distress research in the accounting, management and economic areas.

Design/methodology/approach: 

The research method is based on a three-step protocol of dataset setting, dataset refining, and analyzing the data. First, the published articles in the financial distress field were collected from the Web of Science database. Second, the document information was refined, and 801 articles were chosen for literature review in this area. Finally, we used the bibliometric analysis toolbox to investigate the documents. Also, bibliometric analysis in this research was conducted using VOSviewer software.

The findings of this research indicate the existence of six main streams of research (methods of predicting financial distress, predictors of financial distress, restructuring strategy, corporate governance, bank bankruptcy and earnings management) in the field of financial distress. Additionally, the results highlight the importance of social responsibility of the company, also demonstrate that improvements in technology, particularly the use of artificial intelligence tools, have enhanced predicting accuracy.