IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v10y2022i5p108-d821561.html
   My bibliography  Save this article

A Proposed Methodology for Literature Review on Operational Risk Management in Banks

Author

Listed:
  • Ajjima Jiravichai

    (Thammasat Business School, Thammasat University, Bangkok 10200, Thailand)

  • Ruth Banomyong

    (Thammasat Business School, Thammasat University, Bangkok 10200, Thailand)

Abstract

The purpose of this paper is to propose a methodology that enables researchers to identify relevant search terms when conducting a literature review. This methodology requires an analysis of existing literature review articles on the topic under study to form keywords. The objective of this methodology is to reduce bias from keyword selection, to provide assurance on comprehensiveness and transparency of the review process, and to open up opportunities for interdisciplinary studies. In this paper, we tested our proposed methodology by exploring the field of operational risk management (ORM) in banks. Major issues in this literature exist that include controversy on the effectiveness of ORM measurement models and ORM data problems. We described how our methodology facilitated the development of keywords for a potential interdisciplinary approach that has the capacity to appropriately capture the complexity of ORM, thereby enhancing the understanding and ability to resolve the problem of operational risk effectively.

Suggested Citation

  • Ajjima Jiravichai & Ruth Banomyong, 2022. "A Proposed Methodology for Literature Review on Operational Risk Management in Banks," Risks, MDPI, vol. 10(5), pages 1-18, May.
  • Handle: RePEc:gam:jrisks:v:10:y:2022:i:5:p:108-:d:821561
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/10/5/108/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/10/5/108/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Suren Pakhchanyan, 2016. "Operational Risk Management in Financial Institutions: A Literature Review," IJFS, MDPI, vol. 4(4), pages 1-21, October.
    3. Nicola Cetorelli & James J. McAndrews & James Traina, 2014. "Evolution in bank complexity," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 85-106.
    4. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    5. Christian Biener & Martin Eling & Jan Hendrik Wirfs, 2015. "Insurability of Cyber Risk: An Empirical Analysis†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(1), pages 131-158, January.
    6. Ruth Banomyong & Paitoon Varadejsatitwong & Richard Oloruntoba, 2019. "A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016," Annals of Operations Research, Springer, vol. 283(1), pages 71-86, December.
    7. Iñaki Aldasoro & Leonardo Gambacorta & Paolo Giudici & Thomas Leach, 2023. "Operational and Cyber Risks in the Financial Sector," International Journal of Central Banking, International Journal of Central Banking, vol. 19(5), pages 340-402, December.
    8. Mizgier, Kamil J. & Hora, Manpreet & Wagner, Stephan M. & Jüttner, Matthias P., 2015. "Managing operational disruptions through capital adequacy and process improvement," European Journal of Operational Research, Elsevier, vol. 245(1), pages 320-332.
    9. Dániel Homolya, 2009. "The impact of the capital requirements for operational risk in the Hungarian banking system," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 4(2), pages 6-13, July.
    10. Aldasoro, Iñaki & Gambacorta, Leonardo & Giudici, Paolo & Leach, Thomas, 2022. "The drivers of cyber risk," Journal of Financial Stability, Elsevier, vol. 60(C).
    11. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
    12. Brechmann, Eike & Czado, Claudia & Paterlini, Sandra, 2014. "Flexible dependence modeling of operational risk losses and its impact on total capital requirements," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 271-285.
    13. Richard J. Herring, 2002. "The Basel II approach to bank operational risk: regulation on the wrong track," Proceedings 826, Federal Reserve Bank of Chicago.
    14. Chapelle, Ariane & Crama, Yves & Hübner, Georges & Peters, Jean-Philippe, 2008. "Practical methods for measuring and managing operational risk in the financial sector: A clinical study," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1049-1061, June.
    15. Lu Wei & Jianping Li & Xiaoqian Zhu, 2018. "Operational Loss Data Collection: A Literature Review," Annals of Data Science, Springer, vol. 5(3), pages 313-337, September.
    16. E F Wolstenholme, 1999. "Qualitative vs quantitative modelling: the evolving balance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(4), pages 422-428, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Uddin, Md Hamid & Mollah, Sabur & Islam, Nazrul & Ali, Md Hakim, 2023. "Does digital transformation matter for operational risk exposure?," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    2. Lu Wei & Jianping Li & Xiaoqian Zhu, 2018. "Operational Loss Data Collection: A Literature Review," Annals of Data Science, Springer, vol. 5(3), pages 313-337, September.
    3. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    4. Md. Hamid Uddin & Md. Hakim Ali & Mohammad Kabir Hassan, 2020. "Cybersecurity hazards and financial system vulnerability: a synthesis of literature," Risk Management, Palgrave Macmillan, vol. 22(4), pages 239-309, December.
    5. Stephany Isabel Vallarta-Serrano & Edgar Santoyo-Castelazo & Edgar Santoyo & Esther O. García-Mandujano & Holkan Vázquez-Sánchez, 2023. "Integrated Sustainability Assessment Framework of Industry 4.0 from an Energy Systems Thinking Perspective: Bibliometric Analysis and Systematic Literature Review," Energies, MDPI, vol. 16(14), pages 1-30, July.
    6. Karen Castañeda & Omar Sánchez & Rodrigo F. Herrera & Guillermo Mejía, 2022. "Highway Planning Trends: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-33, May.
    7. Martin Eling & Kwangmin Jung, 2022. "Heterogeneity in cyber loss severity and its impact on cyber risk measurement," Risk Management, Palgrave Macmillan, vol. 24(4), pages 273-297, December.
    8. Sascha Kraus & Matthias Breier & Weng Marc Lim & Marina Dabić & Satish Kumar & Dominik Kanbach & Debmalya Mukherjee & Vincenzo Corvello & Juan Piñeiro-Chousa & Eric Liguori & Daniel Palacios-Marqués &, 2022. "Literature reviews as independent studies: guidelines for academic practice," Review of Managerial Science, Springer, vol. 16(8), pages 2577-2595, November.
    9. Claudiu Cicea & Carmen Țurlea & Corina Marinescu & Nicolae Pintilie, 2022. "Organizational Culture: A Concept Captive between Determinants and Its Own Power of Influence," Sustainability, MDPI, vol. 14(4), pages 1-25, February.
    10. José Carlos Vázquez-Parra & Marco Cruz-Sandoval & Martina Carlos-Arroyo, 2022. "Social Entrepreneurship and Complex Thinking: A Bibliometric Study," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    11. Ashraf, Rohail & Khan, Muhammad Asif & Khuhro, Rafique Ahmed & Bhatti, Zeeshan Ahmed, 2022. "Knowledge creation dynamics of technological forecasting and social change special issues," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    12. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    13. Hongxia Jin & Lu Lu & Haojun Fan, 2022. "Global Trends and Research Hotspots in Long COVID: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
    14. Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    15. Malavasi, Matteo & Peters, Gareth W. & Shevchenko, Pavel V. & Trück, Stefan & Jang, Jiwook & Sofronov, Georgy, 2022. "Cyber risk frequency, severity and insurance viability," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 90-114.
    16. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    17. Ying Liang & Wei Song, 2022. "Ecological and Environmental Effects of Land Use and Cover Changes on the Qinghai-Tibetan Plateau: A Bibliometric Review," Land, MDPI, vol. 11(12), pages 1-23, November.
    18. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    19. S. M. Shamsul Alam & Mohammad Abdul Matin Chowdhury & Dzuljastri Bin Abdul Razak, 2021. "Research evolution in banking performance: a bibliometric analysis," Future Business Journal, Springer, vol. 7(1), pages 1-19, December.
    20. Eisenbach, Thomas M. & Kovner, Anna & Lee, Michael Junho, 2022. "Cyber risk and the U.S. financial system: A pre-mortem analysis," Journal of Financial Economics, Elsevier, vol. 145(3), pages 802-826.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jrisks:v:10:y:2022:i:5:p:108-:d:821561. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.