Public policy and financial regulation in preventing and combating financial fraud: a bibliometric analysis

This study aims to conduct a bibliometric analysis on the topic of public policy and financial regulation in preventing and combating financial fraud using a variety of bibliometric methods and tools, including the in-built tools of Scopus by Elsevier (SciVal) and Web of Science by Clarivate Analytics, as well as VOSviewer software. The most relevant publications related to the search terms were identified. Based on the results, a map illustrating the interrelationships of concepts such as “financial fraud,” “public policy,” and “financial regulation” with other categories was created, allowing for the identification of five clusters, each of which was characterized in detail. The results of the evolutionary and temporal analysis of scientific research showed that before 2000, scholars focused on the legislative aspects of combating financial fraud; from 2000 to 2015, on risk management and the impact of financial fraud on economic growth; from 2016 to the present, on the search for methods and tools to detect and combat financial fraud. The spatial analysis confirmed a predominantly intercontinental connection between researchers. The comparison of subject areas demonstrated the interdisciplinary nature of the study, with a predominant focus on the fields of “computer science” and “economics, econometrics, and finance,” which is logical considering the economic nature and the ongoing technological transformation of financial fraud. The results can be utilized to develop new strategies, policies, and legislative initiatives to ensure financial integrity and increase confidence in financial systems. AcknowledgmentThis study is funded by the Ministry of Education and Science of Ukraine and contains the results of the projects No. 0123U101945 “National security of Ukraine through prevention of financial fraud and money laundering: War and post-war challenges”, 0121U109559 “National security through the convergence of financial monitoring systems and cyber security: Intelligent modelling of financial market regulation mechanisms” and by the Vega Agency No. 1/0638/23.