Investigation of the Studies in the Field of Banking Risk Management via the Social Network Analysis

Yıl 2022, , 155 - 172, 29.07.2022

Furkan Yıldırım

https://doi.org/10.17233/sosyoekonomi.2022.03.08

Cited By: 1

Öz

This study aims to examine the studies published between 2010 and 2020 in banking risk management from a bibliometric perspective and to reveal the tendencies and trends within the last decade. In this context, the bibliometric data of the studies indexed in the Web of Science Core Collection Database are obtained. The social network structure is revealed using the CiteSpace 5.5 software. According to the results of the analysis, the US-based Journal of Banking and Finance is concluded as the most frequently cited journal, where the USA has played a key role in country cooperation, and ‘management’, ‘risk’, and ‘risk management’ have been the most frequently used concepts.

Anahtar Kelimeler

Bank, Banking Risk Management, Bibliometry, Social Network Analysis, CiteSpace

Bankacılık Risk Yönetimi Alanındaki Çalışmaların Sosyal Ağ Analizi ile İncelenmesi

Öz

Çalışmanın amacı, bankacılık risk yönetimi konu alanında 2010-2020 yılları arasında yayımlanan çalışmaları bibliyometrik açıdan inceleyerek konu alanında son 10 yıldaki eğilim ve trendleri ortaya koymaktır. Bu kapsamda web of science core collection veri tabanında indekslenen çalışmaların bibliyometrik verilerine ulaşılmış ve CiteSpace 5.5 programı kullanılarak sosyal ağ yapısı ortaya çıkarılmıştır. Analiz sonuçlarına göre, çalışmalarda ABD’nin ülke işbirlikteliklerinde kilit rol oynadığı, ABD menşeli the Journal of Banking and Finance isimli derginin çok atıfta bulunulan dergi olduğu, en sık kullanılan kavramların ise ‘management’, ‘risk’ ve ‘risk management’ olduğu sonucuna ulaşılmıştır.

Anahtar Kelimeler

Banka, Bankacılık Risk Yönetimi, Bibliyometri, Sosyal Ağ Analizi, CiteSpace

Kaynakça

• Aebi, V. et al. (2012), “Risk management, corporate governance, and bank performance in the financial crisis”, Journal of Banking & Finance, 36(12), 3213-3226.
• Apostolik, R. et al. (2009), Foundations of banking risk: an overview of banking, banking risks, and risk-based banking regulation, New York: JohnWiley.
• Ataman, F. & H.E. Çelik (2018), “Entelektüel yapıların sosyal ağ analizi ile görselleştirilmesi: Van Yüzüncü Yıl üniversitesi üzerinde bibliyometrik bir analiz”, Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 23(1), 34-47.
• Bahoo, S. (2020), “Corruption in banks: a bibliometric review and agenda”, Finance Research Letters, 35, 101499.
• Basel Committee on Banking Supervision (2001), Working paper on the regulatory treatment of Operational Risk, Washington: Basel Committee on Banking Supervision.
• Basel Committee on Banking Supervision (2011), Principles for the sound management of Operational Risk, Basel: Bank for International Settlements, 1-27.
• Beltratti, A. & R.M. Stulz (2012), “The credit crisis around the globe: Why did some banks perform better?”, Journal of Financial Economics, 105(1), 1-17.
• Bessis, J. (2002), Risk management in banking, John Wiley & Sons: New York.
• Bott, E. & E.B. Spillius (eds.) (2014), Family and social network: roles, norms and external relationships in ordinary urban families, Routledge.
• Brown, I. & C. Mues (2012), “An Experimental Comparison of classification algorithms for imbalanced credit scoring data sets”, Expert Systems with Applications, 39(3), 3446-3453.
• Carlsson, H. et al. (2017), “Consumer credit behavior in the digital context: a bibliometric analysis and literature review”, Journal of Financial Counseling and Planning, 28(1), 76-94.
• Chen, C. (2006), “CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature”, Journal of the American Society for Information Science and Technology, 57(3), 359-377.
• Chen, C. et al. (2010), “The structure and dynamics of cocitation clusters: a multiple‐perspective cocitation analysis”, Journal of the American Society for Information Science and Technology, 61(7), 1386-1409.
• Chun-Hao, C. & Y. Jian-Min (2012), “A bibliometric study of financial risk literature: a historic approach”, Applied Economics, 44(22), 2827-2839.
• Cumming, C. & B.J. Hirtle (2001), “The challenges of risk management in diversified financial companies”, FRBNY Economic Policy Review, 7(1), 1-17.
• Deloitte University Press (2017), Global Risk Management Survey, 10th Edition, Deloitte University Press.
• Ellul, A. & V. Yerramilli (2013), “Stronger risk controls, lower risk: evidence from US bank holding companies”, The Journal of Finance, 68(5), 1757-1803.
• Gleason, J.T. (2000), Risk: The New Management Imperative in Finance, Princeton, New Jersey: Bloomberg Press.
• Gürsakal, N. (2009), Sosyal Ağ Analizi, Dora, Bursa.
• Helbekkmo, H. et al. (2013), Enterprise risk management - shaping the risk revolution, New York: McKinsey & Co.
• Jorion, P. & S.J. Khoury (1996), Financial risk management: domestic and dimensions, Cambridge, Massachusetts: Blackwell Publishers.
• Jorion, P. (2007), Value at risk: the new benchmark for managing financial risk, New York: McGraw-Hill.
• Kupper, E.F. (1999), “Risk management in banking”, Policy Discussion Paper.
• Laeven, L. & R. Levine (2009), “Bank governance, regulation and risk taking”, Journal of Financial Economics, 93(2), 259-275.
• Liu, X. (2020), “A visualization analysis on researches of internet finance credit risk in coastal area”, in: Y. Yang et al. (eds.), “Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering”, Journal of Coastal Research, Special Issue No. 103, 85-89.
• Ni, C. et al. (2017), “Examining the evolution of the field of public administration through a bibliometric analysis of public administration review”, Public Administration Review, 77(4), 496-509.
• Oliver, W. (2017), Next Generation Risk Management, <https://www.oliverwyman.com/content/dam/oliver-wyman/v2/publications/2017/aug/Next_Generation_Risk_Management_Targeting_A-Technology_Dividend.pdf>, 01.01.2021.
• Pathan, S. (2009), “Strong boards, CEO power and bank risk-taking”, Journal of Banking & Finance, 33(7), 1340-1350.
• Prado, J.W. et al. (2016), “Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968-2014)”, Scientometrics, 106(3), 1007-1029.
• Richard, E. et al. (2008), “Credit risk management system of a commercial bank in Tanzania”, International Journal of Emerging Markets, 3(3), 323-332.
• Santomero, A. M. (1997), “Commercial bank risk management: an analysis of the process”, Journal of Financial Services Research, 12, 83-115.
• Saunders, A. & M. Cornett (2002), Financial institutions management: a risk management approach, McGraw-Hill, New York.
• Scacun, N. & I. Voronova, (2018), “Bibliometric analysis of financial risk assessment in Baltic countries”, Economics and Business, 32(1), 182-194.
• Shi, Y. & X. Li, (2019), “A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms”, Heliyon, 5, 1-12.
• Simovici, D. (2007), “Data mining algorithms I: clustering”, in: N. Amiya & S. Ivan (eds.), Handbook of Applied Algorithms, Wiley-IEEE Press, 177-218.
• Sirbulescu, C. (2016), “Aspects regarding the risk in baking activity”, Animal Science & Biotechnologies, 49(2), 230-236.
• Streeter, C.L. & D.F. Gillespie (1992), “Social network analysis”, Journal of Social Service Research, 16(1-2), 201-222.
• Van Liebergen, B. (2017), “Machine learning: a revolution in risk management and compliance?”, Journal of Financial Transformation, 45, 60-67.