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Growing Science » Decision Science Letters » Enterprise risk management: A bibliometric analysis of research Trends

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 12 Issue 3 pp. 561-570 , 2023

Enterprise risk management: A bibliometric analysis of research Trends Pages 561-570 Right click to download the paper Download PDF

Authors: Titik Aryati, K Khomsiyah, Cicely D. Harahap

DOI: 10.5267/j.dsl.2023.4.007

Keywords: Bibliometric, Enterprise Risk Management, ERM, Web of Science

Abstract: A bibliometric study of 510 enterprise risk management (ERM) papers from the Web of Science Core Collection (WOS-CC) database from 2004 to 2023 is presented in this article. The study's main goal was to give a bibliometric overview of ERM research, focusing on annual publications, references, journals, authors, author affiliations, and nations. Each article's author, document type, publication year, source, volume, edition, pages, number of citations, and references were obtained from WOS in BibTex format. To help the research, Biblioshiny evaluated this data. The survey indicated that ERM research has increased fast over the previous two decades, with a consistent upward trend and increasing pace in the past five years. "What's wrong with risk matrices?" by Cox, LA (2008) was the most cited publication in this topic, and the Journal of Risk and Financial Management was the most influential journal. David L. Olson of the University of Nebraska Lincoln was the most prolific author, and UNL was the premier research institution in this area, according to the survey. ERM research was heavily influenced by the US and several other countries. To further ERM research, the paper recommends international collaboration. More research can refine the identification of ERM research hotspots and emerging trends, according to the report.


How to cite this paper
Aryati, T., Khomsiyah, K & Harahap, C. (2023). Enterprise risk management: A bibliometric analysis of research Trends.Decision Science Letters , 12(3), 561-570.

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Journal: Decision Science Letters | Year: 2023 | Volume: 12 | Issue: 3 | Views: 1624 | Reviews: 0

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