Bank Risk Literature (1978–2022): A Bibliometric Analysis and Research Front Mapping

Abstract

This study maps the conceptual structure of the body of knowledge concerning bank risk to understand this research strand better. A bibliometric analysis including 671 publications from January 1978 to October 2022 was conducted to achieve the aim of the study. The analysis of descriptive indicators identifies the main traits of scholars debating bank risk in terms of the annual production of publications; most productive authors, countries, affiliations, and journals; and most cited articles in the dataset. This study performs a co-word analysis by adopting social network analysis tools to analyze the conceptual structure of the dataset. The results highlight growing academic interest in bank risk research topics, especially following the global financial crisis. The bibliometric analysis reveals three main topics concerning the consideration of bank risk: (1) the adoption of risk management and bank risk, (2) the use of bank risk during the financial crisis, and (3) the interrelations between corporate governance and bank risk.

Towards concise reporting through integrated reporting: a bibliometric review

“…This section discusses the findings from Biblioshiny to determine the answers to the RQ. Biblioshiny allows researchers to customise and filter their co-citation analysis based on various criteria (Rahman et al , 2022). Users can specify timeframes, select specific journals or authors or focus on particular research topics to refine their analysis and gain deeper insights into specific areas of interest (Ramanan et al , 2020).…”

“…To successfully conduct bibliometric research, it is essential to use the most accurate keywords related to the research field (Rahman et al , 2022). Hence, to ensure articles are extracted from reliable sources, this study used the following search codes in the title for document retrieval from Scopus: TITLE (“integrated reporting”).…”

“…According to Mustikarini and Adhariani (2022), the R-package is a widely recognised and widely used programming language and software environment specifically designed for statistical computing and data analysis. Moreover, it offers a comprehensive range of tools, libraries and packages that facilitate advanced statistical analyses, visualisation and data manipulation (Lazar and Chithra, 2020;Qi et al, 2023). Additionally, the availability of R-packages tailored specifically for bibliometric analysis allows us to leverage well-established and validated methodologies in the field.…”

Enhancing the methods used to evaluate the competitiveness of commercial banks

“…Its balance sheet consists of assets, such as loans and securities, and www.ieeca.org/journal liabilities, such as deposits and borrowings.The neoclassical theory of banks states that banks are financial intermediaries that channel funds from savers to borrowers. The Austrian theory of banks suggests that banks create money through the process of credit creation (Qi et al, 2023). The Marxist theory of banks, on the other hand, claims that banks are part of the capitalist system and serve to maintain the power of the ruling class.…”

Content analysis of the financial literature over time in the world

“…They provide maps of the state of the art in a given area of scientific knowledge, and they help identify different structures within a research field, hot topics and evolving research frontiers. These tools have been recently used in the domain of financial literacy [1][2][3][4][5] or in specific financial domains such as banking [6,7], insurance [8], Islamic insurance [9], consumer credit [2], ITC and financial education [10] and green finance [11].…”