IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/v16y2012i2p128-141.html
   My bibliography  Save this article

Collaborative Management of Risks and Complexity in Banking Systems

Author

Listed:
  • Ion IVAN
  • Cristian CIUREA
  • Mihai DOINEA
  • Arthur AVRAMIEA

Abstract

This paper describes types of risks encountered in banking systems and ways to prevent and eliminate them. Banking systems are presented in order to have a view on banking activities and processes that generates risks. The risks in banking processes are analyzed and the collaborative character of risk management is highlighted. A way to control the risk in banking systems through information security is described. Risks arise from system complexity, thus evaluation and comparison of different configurations are bases for improvements. The Halstead relative complexity function synthesizes system complexity from the point of view of the size of the variables analyzed and the heterogeneity between the variables. Section four was realized by Catalin SBORA.

Suggested Citation

  • Ion IVAN & Cristian CIUREA & Mihai DOINEA & Arthur AVRAMIEA, 2012. "Collaborative Management of Risks and Complexity in Banking Systems," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 16(2), pages 128-141.
  • Handle: RePEc:aes:infoec:v:16:y:2012:i:2:p:128-141
    as

    Download full text from publisher

    File URL: http://www.revistaie.ase.ro/content/62/13%20-%20Ivan.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. W. Stanley Siebert & Nikolay Zubanov, 2010. "Management Economics in a Large Retail Company," Management Science, INFORMS, vol. 56(8), pages 1398-1414, August.
    2. Mark Cecchini & Haldun Aytug & Gary J. Koehler & Praveen Pathak, 2010. "Detecting Management Fraud in Public Companies," Management Science, INFORMS, vol. 56(7), pages 1146-1160, July.
    3. David I. Levine & Michael W. Toffel, 2010. "Quality Management and Job Quality: How the ISO 9001 Standard for Quality Management Systems Affects Employees and Employers," Management Science, INFORMS, vol. 56(6), pages 978-996, June.
    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. Hyun Seok (Huck) Lee & Saravanan Kesavan & Camelia Kuhnen, 2022. "When do group incentives for retail store managers work?," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3077-3095, August.
    2. Xiaowei Chen & Cong Zhai, 2023. "Bagging or boosting? Empirical evidence from financial statement fraud detection," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5093-5142, December.
    3. Hatice Uenal & David Hampel, 2017. "Economic Aspects of the Missing Data Problem - the Case of the Patient Registry," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1779-1791.
    4. Gavoille, Nicolas & Zasova, Anna, 2023. "What we pay in the shadows: Labor tax evasion, minimum wage hike and employment," Journal of Public Economics, Elsevier, vol. 228(C).
    5. Sofie De Prijcker & Sophie Manigart & Veroniek Collewaert & Tom Vanacker, 2019. "Relocation to Get Venture Capital: A Resource Dependence Perspective," Entrepreneurship Theory and Practice, , vol. 43(4), pages 697-724, July.
    6. Thomas Peeters & Steven Salaga & Matthew Juravich, 2015. "Matching and Winning? The Impact of Upper and Middle Managers on Team Performance in Major League Baseball," Tinbergen Institute Discussion Papers 15-115/VII, Tinbergen Institute, revised 03 Mar 2020.
    7. Chonnikarn Fern Jira & Michael W. Toffel, 2011. "Engaging Supply Chains in Climate Change," Harvard Business School Working Papers 12-026, Harvard Business School, revised Oct 2012.
    8. Yan Zhang & Peter Trubey, 2019. "Machine Learning and Sampling Scheme: An Empirical Study of Money Laundering Detection," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1043-1063, October.
    9. Madan Lal Bhasin, 2016. "Creative Accounting Practices at Satyam Computers Limited: A Case Study of India’s Enron," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 6(6), pages 24-48, June.
    10. Artigot, Mireia & Ganuza, Juan José & Gomez, Fernando & Penalva, Jose, 2018. "Product liability should reward firm transparency," International Review of Law and Economics, Elsevier, vol. 56(C), pages 160-169.
    11. Jodi L. Short & Michael W. Toffel & Andrea Read Hugill, 2013. "Monitoring Global Supply Chains," Harvard Business School Working Papers 14-032, Harvard Business School, revised Jun 2015.
    12. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.
    13. Lamin, Anna & Livanis, Grigorios, 2020. "Do third-party certifications work in a weak institutional environment?," Journal of International Management, Elsevier, vol. 26(2).
    14. Saravanan Kesavan & Bradley R. Staats & Wendell Gilland, 2014. "Volume Flexibility in Services: The Costs and Benefits of Flexible Labor Resources," Management Science, INFORMS, vol. 60(8), pages 1884-1906, August.
    15. Yuanfeng Cai & Zhengrui Jiang & Vijay Mookerjee, 2017. "How to Deal with Liars? Designing Intelligent Rule-Based Expert Systems to Increase Accuracy or Reduce Cost," INFORMS Journal on Computing, INFORMS, vol. 29(2), pages 268-286, May.
    16. Xing, Jin & Chi, Guotai & Pan, Ancheng, 2024. "Instance-dependent misclassification cost-sensitive learning for default prediction," Research in International Business and Finance, Elsevier, vol. 69(C).
    17. Pamleila Nkirote Ntwiga & Maina Muchara & Peter Kiriri, 2019. "Influence of continuous quality improvement on patients’ satisfaction within hospitals in Nairobi, Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(5), pages 143-155, September.
    18. Wei Shi & Robert E. Hoskisson & Yan Anthea Zhang, 2017. "Independent director death and CEO acquisitiveness: Build an empire or pursue a quiet life?," Strategic Management Journal, Wiley Blackwell, vol. 38(3), pages 780-792, March.
    19. Noble, Stephanie M. & Lee, Kang Bok & Zaretzki, Russell & Autry, Chad, 2017. "Coupon clipping by impoverished consumers: Linking demographics, basket size, and coupon redemption rates," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 553-571.
    20. Maria R. Ibanez & Michael W. Toffel, 2020. "How Scheduling Can Bias Quality Assessment: Evidence from Food-Safety Inspections," Management Science, INFORMS, vol. 66(6), pages 2396-2416, June.

    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:aes:infoec:v:16:y:2012:i:2:p:128-141. 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: Paul Pocatilu (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.