• Title/Summary/Keyword: Operational Risk

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Simulation-Based Operational Risk Assessment (시뮬레이션 기법을 이용한 운영리스크 평가)

  • Hwang, Myung-Soo;Lee, Young-Jai
    • Journal of Information Technology Services
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    • v.4 no.1
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    • pp.129-139
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    • 2005
  • This paper proposes a framework of Operational Risk-based Business Continuity System(ORBCS), and develops protection system for operational risk through operational risk assessment and loss distribution approach based on risk management guideline announced in the basel II. In order to find out financial operational risk, business processes of domestic bank are assorted by seven event factors and eight business activities so that we can construct the system. After we find out KRI(Key Risk Indicator) index, tasks and risks, we calculated risk possibility and expected cost by analyzing quantitative data, questionnaire and qualitative approach for AHP model from the past events. Furthermore, we can assume unexpected cost loss by using loss distribution approach presented in the basel II. Each bank can also assume expected loss distributions of operational risk by seven event factors and eight business activities. In this research, we choose loss distribution approach so that we can calculate operational risk. In order to explain number of case happened, we choose poisson distribution, log-normal distribution for loss cost, and estimate model for Monte-Carlo simulation. Through this process which is measured by operational risk. of ABC bank, we find out that loss distribution approach explains closer unexpected cost directly compared than internal measurement approach, and makes less unexpected cost loss.

Operational Risk Measurement of Financial Institutions via AHP (AHP 분석을 이용한 금융기관 운영리스크 측정)

  • Choi, Seung-Il
    • Korean Management Science Review
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    • v.28 no.3
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    • pp.73-82
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    • 2011
  • Basel II advanced measurement approaches for operational risk need to estimate the frequency and severity distribution of operational losses. Due to lack of internal loss data, the estimation is impossible in many cases and so external loss data might be used by scaling on asset or gross income. To get around lack of loss data, scenario analysis combined with loss distribution approach can be useful in calculating the capital charge of operational risk. However, scenario based loss distribution approach requires much time and effort. Instead we may apply the analytic hierarchy process to measure operational risk of financial institutions. The analytic hierarchy process combined with loss distribution approach is to estimate the capital charge of operational risk in other areas based on the operational VaR in an area with sufficient loss data. AHP provides a tool for timely measurement of operational risk in this rapidly changing global environment.

A Framework for Systematic Management of Operational Risks

  • Akpolat, Hasan;Pitinanondha, Thitima
    • International Journal of Quality Innovation
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    • v.10 no.2
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    • pp.1-17
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    • 2009
  • This paper presents a theoretical research framework that was used to analyse operational risk management (ORM) system practices in Australia. It provides a new perspective on how to use national and international operational management system standards as a basis for systematic management of operational risks. Based on the extensive literature review and the analysis of operational risk management system practices that are common in Australian organisations, this paper identifies the critical factors for effective use of an ORM system. The proposed framework could also be used as a model to research ORM system applications in other countries.

The Role of Operational Absorptive Capacity on Supply Chain Risk

  • Jeong, EuiBeom
    • Journal of Korea Society of Industrial Information Systems
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    • v.26 no.6
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    • pp.61-80
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    • 2021
  • As the business environment becomes more rapid and unpredictable change, greater diversity, increased complexity, and intensified competitive pressures, supply chain risk management has been growing attention over the past several decades. However, little of known about how absorptive capacity can mitigate supply chain risk for improving operational performance despite its important role in responding to supply chain risk. Therefore, we aim to examine the role of organizational-level absorptive capacity on operational performance, and further identify how the interplay of individual-level and organizational-level absorptive capacity results in operational performance. Our results represent not only direct but also indirect effects of supply chain risk on operational performance, mediated by organizational-level absorptive capacity. Furthermore, this study reveals that individual-level absorptive capacity enhances the effect of organizational-level absorptive capacity on operational performance.

The Mitigation Model Development for Minimizing IT Operational Risks (IT운영리스크 최소화를 위한 피해저감모델 구현에 관한 연구)

  • Lee, Young-Jai;Hwang, Myung-Soo
    • Journal of Information Technology Applications and Management
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    • v.14 no.3
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    • pp.95-113
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    • 2007
  • To minimize IT operational risks and the opportunity cost for lost business hours. it is necessary to have preparedness in advance and mitigation activities for minimization of a loss due to the business discontinuity. There are few cases that banks have a policy on systematic management, system recovery and protection activities against system failure. and most developers and system administrators response based on their experience and the instinct. This article focuses on the mitigation model development for minimizing the incidents of disk unit in IT operational risks. The model will be represented by a network model which is composed of the three items as following: (1) the risk factors(causes, attributes and indicators) of IT operational risk. (2) a periodic time interval through an analysis of historical data. (3) an index or an operational regulations related to the examination of causes of an operational risk. This article will be helpful when enterprise needs to hierarchically analyze risk factors from various fields of IT(information security, information telecommunication, web application servers and so on) and develop a mitigation model. and it will also contribute to the reduction of operational risks on information systems.

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Capability, Service Orientation, and Performance in the Investment Management Industry

  • Lee, Kang Duck;Jung, Chang Ho;Kim, Yong Jin
    • Asia pacific journal of information systems
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    • v.25 no.3
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    • pp.597-625
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    • 2015
  • Prior research has emphasized the significant effect of service orientation on organizational performance. However, little research on service orientation has been conducted in the financial field, including the investment management service industry in which high quality service for clients is required. In this paper, we propose a research model that centers on the concept of service orientation as a type of dynamic capability affecting firm performance. The research variables include job competency, risk management capability, operational capability, service orientation, and service performance. We assume that service orientation partially mediates the effects of risk management capability and operational capability on service performance. To test the model, we collected data from 391 fund managers in 86 teams (37 investment management companies) and analyzed it with partial least squares (PLS) method. Each of the 391 fund managers was asked to answer team level measures, which is effective for team level analysis. We find that job competency positively affects both risk management capability and operational capability, which in turn affect service orientation. Risk management capability and operational capability are assumed to directly affect service performance. However, risk management capability does not influence perceived service performance, whereas operational capability does affect it. This result indicates that risk management capability does not directly affect service performance. However, via service orientation, considering that risk management inconveniences customers and is geared to enhance service orientation, service performance is positively affected. Operational capability does not influence service orientation, whereas it affects perceived service performance. This result reveals that operational capability directly affects firm performance. As expected, service orientation significantly affects the service performance perception of fund managers. This study contributes to the literature by introducing service orientation to the financial industry and measures and tests team-level service performance. Our findings also provide insights to practitioners because to enhance team performance, managers must focus on service orientation in addition to operational capability.

A study on the Risk Assesment Procedure for Work in the Operational Railway (철도운행선 공사의 위험도 평가절차 수립 연구)

  • Wang, Jong-Bae;Park, Ju-Nam;Park, Chan-Woo;Kwak, Sang-Log
    • Proceedings of the KSR Conference
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    • 2006.11b
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    • pp.1037-1045
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    • 2006
  • In this study, a hazard analysis was performed on the accident related work in the operational railway during 2000-2006 years in order to establish risk assesment procedure for work in the operational railway. As a result of hazard analysis, various hazard events for person accident and operation incident were identified, and risk for the each events was evaluated. Also risk matrix was structurized for setting the risk control criteria.

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A Study on VaR Stability for Operational Risk Management (운영리스크 VaR 추정값의 안정성검증 방법 연구)

  • Kim, Hyun-Joong;Kim, Woo-Hwan;Lee, Sang-Cheol;Im, Jong-Ho;Cho, Sang-Hee;Kim, Ah-Hyoun
    • Communications for Statistical Applications and Methods
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    • v.15 no.5
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    • pp.697-708
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    • 2008
  • Operational risk is defined as the risk of loss resulting from inadequate or failed internal processes, people and systems, or external events. The advanced measurement approach proposed by Basel committee uses loss distribution approach(LDA) which quantifies operational loss based on bank's own historical data and measurement system. LDA involves two distribution fittings(frequency and severity) and then generates aggregate loss distribution by employing mathematical convolution. An objective validation for the operational risk measurement is essential because the operational risk measurement allows flexibility and subjective judgement to calculate regulatory capital. However, the methodology to verify the soundness of the operational risk measurement was not fully developed because the internal operational loss data had been extremely sparse and the modeling of extreme tail was very difficult. In this paper, we propose a methodology for the validation of operational risk measurement based on bootstrap confidence intervals of operational VaR(value at risk). We derived two methods to generate confidence intervals of operational VaR.

Development of an Accident Sequence Precursor Methodology and its Application to Significant Accident Precursors

  • Jang, Seunghyun;Park, Sunghyun;Jae, Moosung
    • Nuclear Engineering and Technology
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    • v.49 no.2
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    • pp.313-326
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    • 2017
  • The systematic management of plant risk is crucial for enhancing the safety of nuclear power plants and for designing new nuclear power plants. Accident sequence precursor (ASP) analysis may be able to provide risk significance of operational experience by using probabilistic risk assessment to evaluate an operational event quantitatively in terms of its impact on core damage. In this study, an ASP methodology for two operation mode, full power and low power/shutdown operation, has been developed and applied to significant accident precursors that may occur during the operation of nuclear power plants. Two operational events, loss of feedwater and steam generator tube rupture, are identified as ASPs. Therefore, the ASP methodology developed in this study may contribute to identifying plant risk significance as well as to enhancing the safety of nuclear power plants by applying this methodology systematically.

Risk-based Operational Planning and Scheduling Model for an Emergency Medical Center (응급의료센터를 위한 위험기반 운영계획 모델)

  • Lee, Mi Lim;Lee, Jinpyo;Park, Minjae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.2
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    • pp.9-17
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    • 2019
  • In order to deal with high uncertainty and variability in emergency medical centers, many researchers have developed various models for their operational planning and scheduling. However, most of the models just provide static plans without any risk measures as their results, and thus the users often lose the opportunity to analyze how much risk the patients have, whether the plan is still implementable or how the plan should be changed when an unexpected event happens. In this study, we construct a simulation model combined with a risk-based planning and scheduling module designed by Simio LLC. In addition to static schedules, it provides possibility of treatment delay for each patient as a risk measure, and updates the schedule to avoid the risk when it is needed. By using the simulation model, the users can experiment various scenarios in operations quickly, and also can make a decision not based on their past experience or intuition but based on scientific estimation of risks even in urgent situations. An example of such an operational decision making process is demonstrated for a real mid-size emergency medical center located in Seoul, Republic of Korea. The model is designed for temporal short-term planning especially, but it can be expanded for long-term planning also with some appropriate adjustments.