Relevant bibliographies by topics / Assessment and management of operational risk

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Assessment and management of operational risk'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Assessment and management of operational risk"

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Dexter, N. C., C. L. Ford, P. C. Jakhria, et al. "Quantifying Operational Risk in Life Insurance Companies. Developed by the Life Operational Risk Working Party." British Actuarial Journal 13, no. 2 (2007): 257–337. http://dx.doi.org/10.1017/s1357321700001483.

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ABSTRACTThis paper overviews a practical approach to the assessment of operational risk in life insurance companies. It considers how actuaries, working in conjunction with risk management professionals and senior management, can develop a framework to assess the capital requirements relating to operational risk, taking into account the capital requirements of other risks and their interaction.This paper recognises that we do not live in an ideal world, and that a lot of the data which one might want for operational risk assessment are not, and in some cases never will be, available. Consequently, the approach outlined in this paper takes into account the fact that management and assessment of operational risk is at an early stage of development in the life industry. In addition, it outlines some of the areas where development is necessary or desirable in the coming years.There is a section on the operational risks against which it is appropriate to hold capital. As this is a new area for insurance companies, and given the governance requirements for Individual Capital Assessments, it is important to explain the results effectively to senior management. Therefore, a brief review of techniques for reporting the results of the assessment is provided.The paper concludes with some thoughts on how operational risk management can be embedded more in the business, and then considers what future work will help develop the framework. To echo the thoughts of the authors of the general insurance paper on this topic (Tripp et al., 2004), we hope that the paper will sow seeds for the development of best practice in dealing with operational risk, and will raise the awareness and increase the interest of actuaries in this emerging topic.This paper represents the views of the individuals in the working party, and not necessarily the views of their employers or the Actuarial Profession.
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Mendonça, Ana Santos, M. A. Losada, S. Solari, M. Neves, and M. Reis. "INCORPORATING A RISK ASSESSMENT PROCEDURE INTO SUBMARINE OUTFALL PROJECTS AND APPLICATION TO PORTUGUESE CASE STUDIES." Coastal Engineering Proceedings 1, no. 33 (2012): 18. http://dx.doi.org/10.9753/icce.v33.management.18.

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The paper presents a risk assessment methodology for operational limit states of submarine outfall projects that considers: the environmental legislative framework, the climate agents acting on the coastline and prediction of the plume long-term behaviour near the coastline. The probability of operational failure or stoppage is assessed enabling decision on project design alternatives.
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Prymostka, L. O., and N. S. Sokolovska. "The Measurement (Assessment) and Modeling of the Operational Risk of Bank." Business Inform 11, no. 526 (2021): 144–53. http://dx.doi.org/10.32983/2222-4459-2021-11-144-153.

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In modern conditions of implementing banking activity under the influence of rapid technologization, the worldwide globalization and transformation processes, there is a significant vulnerability to risks. The risks that banks are exposed to during their activities can be divided into those that are subject to quantitative measurement (assessment) and those that cannot be quantified. Among all banking risks, operational risk has the greatest unpredictability and destructive nature of influence on the bank, able of instantly jeopardizing as the bank’s activities so its functioning. Operational risk is one of the risks that are inherent in quantitative measurement (assessment). Measurement (assessment) of the bank’s operational risk is an element of management of such a risk. The impact of operational risk on banking activities is manifested in the amount of economic effect (losses). To assess the economic effect of the impact of operational risk on banks, a retrospective approach was used as part of the study described in the article. The study on assessment of losses from operational risk was carried out on the basis of analysis of statistical data on the operational risk events in both the worldwide and the domestic banking practice for the last 30 years: from 1991 to 2021. Since the norms for maintaining databases of internal and external events of operational risk by the banks of Ukraine are correspondingly applied as mandatory and additional instruments for measuring operational risk since 2018, the authors of the article carry out modeling and analysis of the aforementioned databases of operational risk events on the basis of statistical data on the operational risk events for 2018–2021. As a result of the study, the model of measurement (assessment) of economic effect (losses) of operational risk, taking into account its sources, is specified. The model approbation in practical banking activities will increase efficiency of the operational risk management. A prospect for further research on measurement (assessment) and modeling of operational risk can be the accumulation of data on operational risk events for more annual periods and the construction on their basis of the model of losses from the operational risk of bank.
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Wahyuni, Ni Luh Gede Intan Diana, I. Made Sudana, and P. Dyah Hudiananingsih. "Operational Risk Analysis Based on Enterprise Risk Management Approach (ERM) in Export Document Service Company (Case Study at CV Tarukalpa Dewata)." Journal of Applied Sciences in Accounting, Finance, and Tax 4, no. 2 (2021): 127–36. http://dx.doi.org/10.31940/jasafint.v4i2.127-136.

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Every company in carrying out its operational activities will definitely face a risk. The various possible risks that can be experienced by the company in carrying out its operational activities need to be managed and controlled by carried out risk management. The implementation of risk management is expected to assist companies in identified, analyzed, assessed, and controlled risks and the impact of risks. One approach that can be used to perform risk management is Enterprise Risk Management (ERM). This research aims to analyze operational risks that occurred at CV Tarukalpa Dewata based on an Enterprise Risk Management (ERM) approach by identified risks, risk assessments, efforts to respond the risks and carry out risk controls to find out what actions must be taken to minimize the possibility of risks and impact risk. This research used a qualitative descriptive research method by collecting data through interviews, observations and questionnaires. The results showed that in the operational activities of CV Tarukalpa Dewata there were seventeen possible risks consisting of four risks originating from human resources owned by the company, five risks that occurred in the process of making export documents, two risks that occurred due to technological constraints, and six external risks. The results of the risk assessment showed that there were three levels of risk that occurred in the operational activities of CV Tarukalpa Dewata namely moderate, low, and very low. Responses to existing risks are carried out by monitoring, controlling management, and paying special attention (urgent) in the company's operational activities.
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I.Vasiliev, I., P. A. Smelov, N. V. Klimovskih, M. G. Shevashkevich, and E. N. Donskaya. "Operational Risk Management in A Commercial Bank." International Journal of Engineering & Technology 7, no. 4.36 (2018): 524. http://dx.doi.org/10.14419/ijet.v7i4.36.24130.

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The existing financial and economic situation in the world and in Russia impacts the activities of all sectors of the economy, including posing challenges for banks. In the conditions of prolonged instability, the banking community has to pay great attention to the risks taken and to manage them. Among all the risks that the bank is exposed to, operational risks represent a separate group due to its specifics, a lack of a systematic approach to analysis and a lack of identification criteria requiring more detailed study. The operational risk is unique in that, although it affects virtually all areas of the credit institution, it is difficult to establish and separate it from other bank risks. It should be noted that every year there appear all new types of operational risk that have a strong impact on the activities of the credit institution due to the development of information and computer systems, the complication of the instruments of the stock market and the improvement of business methods. Therefore, regulators of all countries try to constantly improve the regulatory framework related to the management of the operational risk of a commercial bank, based on the recommendations given by the Basel Committee on Banking Supervision.The article is aimed at developing an effective system for managing the operational risk of a commercial bank.The empirical level research methods used in this article are a description of what operational risk is, its types, tools and methods of assessment; comparison of operational risk management systems in the studied banks; generalization, analysis and synthesis of the information received; the hypothetical-deductive method is used at the theoretical level.Modernization and improvement of the operational risk management system helps stabilize the bank, increase stability and increase profitability, reduce the provision of capital for operational risk, and increase the attractiveness of banking services for consumers, thus benefiting a credit institution among competitors. In today's financial environment, the effective operational risk management is inherent in the long-term development strategy.
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Boyar-Sozonovitch, Andrey S., Alexey Yu Buikin, and Kirill V. Pitelinskiy. "Features of enterprise risk management associated with operational risks." Revista Amazonia Investiga 10, no. 46 (2021): 9–19. http://dx.doi.org/10.34069/ai/2021.46.10.1.

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Purpose of the work: within the framework of the concept of corporate risk management Enterprise Risk Management (ERM) to study the basic types of risks, assess their role in the modern economy, analyze external and internal operational risks and propose approaches to their quantitative assessment. As a research methodology, it is proposed to use the developed tools of mathematical and numerical modeling, which allows one to obtain, in the key of interest to the decision maker, qualitative and quantitative characteristics of the dynamics of business processes. The operational and economic risks (as very often occurring in the activities of subjects of economic relations) and directly affecting their economic and information security are considered in sufficient detail. It is noted that the risks associated with disruption of business continuity (which enterprises face in their activities) can be included in various classification systems of risks, grouped according to various criteria. The need to identify the mismatch between the design and actual metrics of the organizational structure (establishment of its structure and operating schemes based on the needs of the enterprise/organization) is indicated for solving the optimization problem.
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Ruiz-Canela López, José. "How Can Enterprise Risk Management Help in Evaluating the Operational Risks for a Telecommunications Company?" Journal of Risk and Financial Management 14, no. 3 (2021): 139. http://dx.doi.org/10.3390/jrfm14030139.

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Operational risk is defined as the potential losses resulting from events caused by inadequate or failed processes, people, equipment, and systems or from external events. One of the most important challenges for the management of the company is to improve its results through its operational risk identification and evaluation. Most of Enterprise Risk Management (ERM) scholarship has roots in the finance/risk management and insurance (RMI) discipline, mainly in the banking sector. This study proposes an innovative operational risk assessment methodology (OpRAM), to evaluate operational risks focused on telecommunications companies (TELCOs), on the basis of an operational risk self-assessment (OpRSA) process and method. The OpRSA process evaluates operational risks through a quantitative analysis of estimates which inputs are the economic impact and the probability of occurrence of events. The OpRSA method is the “engine” for calculating the economic risk impact, applying actuarial techniques, which allow estimation of unexpected losses and expected losses distributions in a TELCO. The results of the analyzed business unit in the field work were compared with standardized ratings (acceptable, manageable, critical, or catastrophic), and contrasted against the company’s managers, proving that the OpRSA framework is a reliable and useful management tool for the business, and leading to more research in other sectors where operational risk management is key for the company success.
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Susanto, Arif, Purwanto Purwanto, Edi K. Putro, and Fanny Yuliasari. "Drinking Water Risk Management Plan: A Case Study in the Ore Processing Industry." Safety 5, no. 3 (2019): 58. http://dx.doi.org/10.3390/safety5030058.

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All of the water supply system development needs to be safe and meet health requirements. Due to the expansion of the ore processing industry, water supply providers are required to identify the risks that may arise from dangerous and hazardous events. The purpose of this study was to build a structured approach to drinking water risk management plans (RMPs). We used risk assessments with reference to the environmental management system, risk management, and the food safety management system. The results of the risk assessment show two critical control points (CCPs) of high risk: Dam (catchment) and pipe reticulation. Some CCPs were categorized as posing very high risks of hazardous events due to pathogen contamination, including the clean water tank, the disinfectant injector, and pipe reticulation. The RMPs recorded and identified various preventive measures that could be taken to reduce and eliminate the risks. Daily operational requirements can be implemented to prepare for these hazards and risks that have the potential to negatively affect the quality of the drinking water supplied to the workers. Risk assessments were conducted in two stages: Preventive measures and operational monitoring. The involvement of all departments and authority agencies was crucial to ensure the success in the development and review of the operational aspects of these RMPs.
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Ismawati, Anastasia Filiana. "Operational Risk Assessment of an English Academy in Yogyakarta." Jurnal Entrepreneur dan Entrepreneurship 9, no. 2 (2020): 5–12. http://dx.doi.org/10.37715/jee.v9i2.1442.

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This research was conducted for the risk assessment on the operational activities in order to assist PT. XYZ in managing the operational activities which leads to the goals of the firm. The use of Enterprise Risk Management (ERM) can help the organization to manage the risks holistically using the intergrated methods. This research focused on the risk assessment in PT. XYZ, especially for its operating, and provided a strategy of improvement from the existing risks. The methodology used in this research is a case study with triangulation of sources as the tool to conduct the data analysis. The informants of this research are the Operational Manager of PT. XYZ and five teachers. The data was obtained by conducting interviews and there were six operational risks found which would be best to respond and to manage as soon as possible for minimizing the risks. The result of this research is to hope that PT. XYZ shall be able to manage the risks by using the ERM methodology in order to have the business in the long run and to be successfully competing in the market.
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OLIINYK, ANDRIY. "ASSESSMENT OF FINANCIAL AND ECONOMIC OBJECTIVES OF CREDIT RISK MANAGEMENT IN THE BANKING SYSTEM OF UKRAINE." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 300, no. 6 Part 2 (2021): 54–61. http://dx.doi.org/10.31891/2307-5740-2021-300-6/2-9.

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In the current conditions of implementation and development of banking, bankers are paying more and more attention to the definition, assessment and measures to reduce the operational risk of the bank. Examples of this type of risk are personnel fraud, information system failures, and specific software failures that can result in significant losses and losses. In order to adequately protect against such risk, the bank must generate capital adequate to cover losses from the bank’s operational risk. The lack of systemic among the manifestations of the bank’s operational risk complicates the process of its identification, evaluation and management decisions. Therefore, the assessment of financial and economic prerequisites for operational risk management in the banking sector of Ukraine is becoming important in order to form an effective management system. The purpose of the article is to assess the financial and economic prerequisites for operational risk management in the banking system of Ukraine and determine their impact on the effectiveness of operational risk management of banking institutions. The main indicators of banks’ financial activity and functioning of payment systems in the banking system of Ukraine are analyzed. It is established that the level of operational risk increases with the increase in the volume of payment system transactions in banking. The assessment of financial preconditions of operational risk management in the banking system of Ukraine is carried out. The influence of financial and economic preconditions on the efficiency of operational risk management of banking institutions is determined and substantiated. Analysis of banks’ activity in the payment card market allows to identify negative aspects that necessitate improving the system of operational risk management of banks and finding ways to minimize them for the following reasons: increasing the share of non-cash payments by payment cards in trade and services compared to cash; expansion of the infrastructure for accepting payment cards; increase in revenues to local and state budgets due to fuller taxation of business entities and individuals (non-cash services sharply reduce opportunities for concealment of income.
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Dissertations / Theses on the topic "Assessment and management of operational risk"

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Alghanmi, A. "Risk assessment and management of petroleum transportation systems operations." Thesis, Liverpool John Moores University, 2018. http://researchonline.ljmu.ac.uk/9160/.

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Petroleum Transportation Systems (PTSs) have a significant impact on the flow of crude oil within a Petroleum Supply Chain (PSC), due to the great demand on this natural product. Such systems are used for safe movement of crude and/or refined products from starting points (i.e. production sites or storage tanks), to their final destinations, via land or sea transportation. PTSs are vulnerable to several risks because they often operate in a dynamic environment. Due to this environment, many potential risks and uncertainties are involved. Not only having a direct effect on the product flow within PSC, PTSs accidents could also have severe consequences for the humans, businesses, and the environment. Therefore, safe operations of the key systems such as port, ship and pipeline, are vital for the success of PTSs. This research introduces an advanced approach to ensure safety of PTSs. This research proposes multiple network analysis, risk assessment, uncertainties treatment and decision making techniques for dealing with potential hazards and operational issues that are happening within the marine ports, ships, or pipeline transportation segments within one complete system. The main phases of the developed framework are formulated in six steps. In the first phase of the research, the hazards in PTSs operations that can lead to a crude oil spill are identified through conducting an extensive review of literature and experts’ knowledge. In the second phase, a Fuzzy Rule-Based Bayesian Reasoning (FRBBR) and Hugin software are applied in the new context of PTSs to assess and prioritise the local PTSs failures as one complete system. The third phase uses Analytic Hierarchy Process (AHP) in order to determine the weight of PTSs local factors. In the fourth phase, network analysis approach is used to measure the importance of petroleum ports, ships and pipelines systems globally within Petroleum Transportation Networks (PTNs). This approach can help decision makers to measure and detect the critical nodes (ports and transportation routes) within PTNs. The fifth phase uses an Evidential Reasoning (ER) approach and Intelligence Decision System (IDS) software, to assess hazards influencing on PTSs as one complete system. This research developed an advance risk-based framework applied ER approach due to its ability to combine the local/internal and global/external risk analysis results of the PTSs. To complete the cycle of this study, the best mitigating strategies are introduced and evaluated by incorporating VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and AHP to rank the risk control options. The novelty of this framework provides decision makers with realistic and flexible results to ensure efficient and safe operations for PTSs.
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Subramaniam, Kumaresan. "Human reliability assessment in oil tanker operations." Thesis, Liverpool John Moores University, 2010. http://researchonline.ljmu.ac.uk/5968/.

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This research is carried out to improve Human Reliability Analysis (HRA) in oil tanker operations in general, to extend and enhance in specific Cognitive Reliability and Error Analysis Method (CREAM), with the aim of reducing human error and thus subsequently preventing oil tanker spills. It is concentrated on oil tanker operations to address the limitation of availability of human reliability data in the maritime domain. The continual occurrence of oil tanker spills, which was substantiated with analysis of historical data of oil tanker incidents/accidents from 1970 to 2008, provides a judicious reason to conduct this research. The critical review of Formal Safety Assessment (FSA) and HRA results in the development of a conceptual framework of HRA facilitating FSA and incorporating Human Organisational Factors (HOF), which addresses the shortcomings of the generic HRA and FSA methodologies that exist independently in the management of oil tankers to prevent oil spills. The CREAM is reviewed due to its prominent use in identifying the root causes of human error. However, its inability of providing solutions to an incident/accident investigation and robust quantification of human reliability features stimulates the development of an advanced CREAM and a human reliability quantification model using a combined Analytic Hierarchical Process (AHP) and fuzzy logic approach in this research. In addition to facilitating identification of the root causes of human error, the advanced CREAM also provides the solutions to a quantification model, which enables the development of HRA data in the maritime domain. Furthermore, lack of CREAM studies on relationships among Common Performance Conditions (CPCs) is addressed by proposing a Decision Making Trial and Evaluation Laboratory (DEMATEL) model, which allows for a comprehensive understanding of relationships and interdependencies among the CPCs. The model could also be used toappreciate and assimilate the relationships and interdependencies among human factor variables involved in other transportation systems and industrial fields. Finally, the research is concluded with an integrated AHP and fuzzy Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) model for determining the selection of an appropriate risk control option (RCO) while performing an incident/accident investigation by taking subjective judgments of decision makers into consideration. This research as a pioneer work in developing and applying advanced techniques to improve the generic CREAM in oil tanker operations establishes a foundation for future effort to improve the use of CREAM in other industries. The techniques developed can also be tailored to investigate and deal with an incident/accident effectively, resulting in the reduction of human error within the system management of any organisation.
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Rodríguez, Pinhao Miessner Diego. "Production of AAV vectors for gene therapy : a cost-effectiveness and risk assessment." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104215.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Chemical Engineering, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 51-56).<br>Gene therapy is a promising modality for the potential treatment of rare Mendelian diseases. To date a number of high profile proof-of-concept studies within the industry have demonstrated the significant disease-correcting promise of this therapeutic strategy. One of the major hurdles that remains for the commercialization of gene therapies is the lack of efficient manufacturing capabilities for the production of clinical-grade drug substance/drug product. The primary goals for this project were to decrease the biological contamination and cross-contamination risk associated with the biologic manufacturing process for viral gene therapy vectors and to adjust the process in order to optimize commercial profit. The project also included documenting the different existing processes for AAV production and developing a competitive analysis using information from ongoing clinical trials in the industry pipeline. The following process design steps were followed in order to fulfill the project objectives: (1) Define product specifications, analytical needs and market size, (2) Select production platform/process, (3) Collect data and create process flow diagram, (4) Perform material and energy balances, (5) Calculate costs: equipment and consumables, (6) Model the process in a spreadsheet, (7) Carry out sensitivity analyses, (8) Assess cost-effectiveness and risk, and (9) Develop recommendations. Five different AAV production platforms were identified and an AAV gene therapy landscape was generated. Also, the current process that Pfizer is planning to use was documented and an initial market sizing was performed. Finally, all the data necessary to model the process was collected and the cost-effectiveness and biological contamination and cross-contamination risk assessment were completed. This project confirmed that the use of a scalable line of single-use high cell density bioreactors for the production of AAV is cost-effective. This implies that sufficient AAV quantities can be manufactured for preclinical and clinical trials, using the process developed by Pfizer.<br>by Diego Rodríguez Pinhao Miessner.<br>S.M.<br>M.B.A.
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Ung, Shuen-Tai. "The development of safety and security assessment techniques and their application to port operations." Thesis, Liverpool John Moores University, 2007. http://researchonline.ljmu.ac.uk/5831/.

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White, Seth Brian. "Emerging market entry and risk assessment process analysis in a biopharmaceutical supply chain organization." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81028.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2013.<br>Cataloged from PDF version of thesis. Vita.<br>Includes bibliographical references (p. 69-70).<br>.Amgen is attempting to increase the impact that its products make in people's lives. To meet this goal, the company is aggressively working to reach more patients through growth opportunities in international markets and expects to significantly increase its existing footprint and product impact over the next several years. While the current market entry practices for emerging markets are meeting Amgen's needs, rapid expansion poses significant challenges. This thesis explores two primary aspects, the investigation of improvement opportunities in the commercialization of emerging markets and the development of a risk assessment model applicable to new market commercial entry. Both aspects relate to the larger problem of rapid international expansion and support its resolution in different forms. The assessment of improvement opportunities for emerging market commercialization strives to develop a tangible set of actions the organization can take forth in order to enhance the planning and execution of new market entry. The analysis is accomplished through an in depth study to determine the current level performance for commercial market entry. Based on the current state determination, a future vision is established which incorporates fundamental principles of operational excellence methodologies, integrating various techniques to develop a cohesive approach for improving current entry practices. An improvement roadmap is developed, detailing out specific actions, utilizing a phased implementation approach that allows for making incremental improvements. The risk assessment model establishes a tool the organization can utilize in order to properly identify risk associated with emerging market entry and enhance the decision making process that occurs at a senior leadership level as to whether or not a country should be entered. A scenario based evaluation methodology integrates cross-functional expertise across the organization assimilating information that is normally isolated to a small group within the company. The model determines risk levels for each scenario, generates a risk report and an output review is conducted with subject matter experts (SME) and functional leads. Scenarios that potentially require remediation are reviewed in a detailed risk assessment and resolved as necessary. Any substantial cost associated with control efforts are incorporated into the financial analysis for the target launch country, providing a better depiction of cost versus reward. Thus, the model increases the firm's ability to make agile risk-informed market entry decisions while providing a standardized method that is scalable cross-regionally.<br>by Seth Brian White.<br>S.M.<br>M.B.A.
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Lee, Anne Lim. "Return on Investment of the CFTP Framework With and Without Risk Assessment." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3306.

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In recent years, numerous high tech companies have developed and used technology roadmaps when making their investment decisions. Jay Paap has proposed the Customer Focused Technology Planning (CFTP) framework to draw future technology roadmaps. However, the CFTP framework does not include risk assessment as a critical factor in decision making. The problem addressed in this quantitative study was that high tech companies are either losing money or getting a much smaller than expected return on investment when making technology investment decisions. The purpose of this research was to determine the relationship between returns on investment before and after adding risk assessment to the CFTP framework. Paap's CFTP framework and process to improve technology investments thus served as the theoretical framework for this study. Data were obtained from cloud computing companies using the companies' market risk data and actual returns on investment data. The results and findings of paired sample two-tailed t tests for means and equal variances showed that return on investment was positively related to adding a traditional risk assessment model to Paap's CFTP framework. These findings regarding the addition of risk assessment to the technology investment framework may be used by investors to (a) make better and more expeditious decisions, and (b) obtain a high return on technology investment by selecting the highest return value and lowest risk value.
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Bärlocher, Christian. "Operational Risk Management und Anreizsysteme." St. Gallen, 2009. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01648385002/$FILE/01648385002.pdf.

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Piaz, Jean-Marc. "Operational risk Management bei Banken /." Zürich : Versus, 2002. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009595185&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Condez-Godziemba, Cyril. "Transmission System Operational Risk Assessment and Mitigation." Thesis, KTH, Elektroteknisk teori och konstruktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102076.

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As transmission networks are getting older and as their components are reaching their life span’s end, the number of maintenance outages for equipments reparation or replacement is destined to gradually increase in the coming years. These outages weaken system’s security and lead to highstress situations that often do not comply with N-k operation rules. Thus in-depth risk analysis have to be performed in those cases, to ensure system’s smooth operation and optimal maintenance planning. It requires a comprehensive knowledge of contingencies consequences on system and society, but also refined contingencies occurrence probability estimations. This integration of probabilistic issues in operational problematic is challenging as current doctrines are profoundly deterministic, however the methodology developed here aims to comply with those while preparing the ground for future risk-based doctrines. Finally, integration of curative and preventive risk mitigation means gives more visibility to contingency probability reduction means and measures their economic efficiency, which leads to more optimal decision-making than the only use of classic consequences reduction techniques. This easily implementable method makes accessible new information to operators, allowing them to limit the use of systematic conservative and costly risk mitigation strategies.
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Stan-Maduka, Edna Ijeoma. "Operational risk management : determination of causal relationships and interdependencies of operational risk events." Thesis, University of East London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533016.

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The Basel II capital adequacy framework constitutes a very comprehensive regulatory approach to risk assessment in banks. A special feature of this new accord is that it is not only targeting banks' financial risk exposures in terms of credit risks and market risks, the scope has been widened to also explicitly incorporate banks' exposure to operational risks in the capital adequacy requirement. For banks this novelty means a major change. Unless they choose to use the highly unsophisticated basic indicator approach or the standardized approach proposed in the new Basel accord, it will put significant pressure on them to develop and design appropriate internal risk management frameworks and systems. This research explores banks' operational risk mitigation under Basel II in Nigeria. The overall aim is to propose, test and validate a detailed framework for operational risk mitigation and to determine the causal relationships and interdependencies of operational risk events. The research utilised information derived from qualitative risk analysis, questionnaires and interviews administered to operational risk experts selected from Nigerian banks. The data analysis used `Statplus' an excel based software for the determination of variances and correlations. The first category of findings revealed that (1) Nigerian banks do not have adequate frameworks to mitigate risks (2) the banks do not monitor key- risk indicators within their business lines and thirdly (3) there is no structured approach to operational risk management within Nigerian banks. The second category of findings from expert opinion suggested a significant relationship between individual key risks and operational loss events. The results also confirmed a relationship between a bank's overall approach to risk management, and its strategic objectives on risk mitigation given the interdependence of operational risk factors and sub-factors. The framework proposed, tested and validated in this research is both diagnostic and predictive in its approach to operational risk mitigation. It is expected that this framework will fill the gap which is existing within the Nigerian financial sector in terms of an adequate framework for operational risk mitigation.
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Books on the topic "Assessment and management of operational risk"

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Abkowitz, Mark David. Operational risk management: A case study approach to effective planning and response. John Wiley & Sons, 2008.

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1935-, Wallace William A., ed. Operational risk management: The integration of decision, communications, and multimedia technologies. Kluwer Academic Publishers, 1998.

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Rodney, Coleman, ed. Operational risk assessment: The commercial imperative of a more forensic and transparent approach. John Wiley & Sons, 2009.

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Air: Toxic risk assessment and management : public health risks from normal operations. Van Nostrand Reinhold, 1996.

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Hussain, Omar K. Risk Assessment and Management in the Networked Economy. Springer Berlin Heidelberg, 2013.

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Jakobczak, Dariusz Jacek. Analyzing risk through probabilistic modeling in operations research. Business Science Reference, 2016.

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Myers, Kenneth N. Manager's guide to contingency planning for disasters: Protecting vital facilities and critical operations. 2nd ed. J. Wiley & Sons, 1999.

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Vinnem, Jan Erik. Offshore risk assessment: Principles, modelling, and applications of QRA studies. Kluwer, 1999.

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Young, Brendon, and Rodney Coleman, eds. Operational Risk Assessment. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119207054.

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Moosa, Imad A. Operational risk management. Palgrave Macmillan, 2007.

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Book chapters on the topic "Assessment and management of operational risk"

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Beroggi, Giampiero E. G., and William A. Wallace. "Assessment of Operational Risk Management." In Operational Risk Management. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5747-0_7.

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Munsch, Michael, Silvia Rohe, and Monika Jungemann-Dorner. "Combining Operational Risks in Financial Risk Assessment Scores." In Operational Risk Management. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470972571.ch11.

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Vinnem, Jan Erik, Terje Aven, Stein Hauge, Jorunn Seljelid, and Gunnar Veire. "Integrated Barrier Analysis in Operational Risk Assessment in Offshore Petroleum Operations." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_101.

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Chittister, Clyde G., and Yacov Y. Haimes. "Risk Assessment." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_898.

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Chittister, Clyde, and Yacov Y. Haimes. "Risk assessment." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_898.

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Zebroski, Edwin L. "Safety Management of Large Operations." In Risk Assessment and Management. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-6443-7_13.

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Bedford, Tim. "Supporting operational decisions using competing risk models to analyse failure data." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_249.

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Katoch, Ajay. "Disaster Risk Assessment and Operations Planning." In Management of Animals in Disasters. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9392-2_4.

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Gao, Yunhao, Xiuli Du, and Mingju Zhang. "The Application of Dynamic Priority of AHP on Operation Risk Assessment of Metro." In Computational Risk Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15243-6_8.

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Schugoreva, Vlada A., Oleg S. Lobanov, and Vladimir F. Minakov. "Operational and Information Risk Management System Based on Assessment Model of Risk Culture Level." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99993-7_9.

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Conference papers on the topic "Assessment and management of operational risk"

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Wiboonrat, M. "Authentic Appreciation of Deterministic Risks in Data Centre Implementation and Operations." In Advances in Management Science and Risk Assessment. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.704-029.

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Yang Liu. "Operational statistic risk assessment for power systems under extreme weather conditions." In 10th International Conference on Advances in Power System Control, Operation & Management (APSCOM 2015). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0292.

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Malyar, Mykola, Volodymyr Polishchuk, Marianna Sharkadi, and Andriy Polishchuk. "Model of Operation Management Systems Risk Assessment." In 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT). IEEE, 2020. http://dx.doi.org/10.1109/csit49958.2020.9321930.

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DaiHong, Zhong Runtong, and LanTian. "Risk assessment management for mobile payment security." In 2008 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2008. http://dx.doi.org/10.1109/soli.2008.4682854.

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Trbojevic, V. M., and O. T. Gudmestad. "Incorporating Human, Management and Organisational Barriers in Risk Assessment of Offshore Marine Operations." In ASME 2005 24th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2005. http://dx.doi.org/10.1115/omae2005-67534.

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The paper presents an effective way of incorporating the human, organisational and management factors in order to improve integrity of offshore marine operations. The aim of the paper is to establish safety barriers and integrate human, organisational and management factors into these barriers and define performance shaping factors that could erode the barrier function. This can be achieved by using bow tie analysis. Furthermore, the quantification of the risk model, if required, can be achieved by direct application of human reliability methods for operational errors and by defining the failure rate multiplier based on the assessment of management and organisational characteristics.
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Wickboldt, Juliano Araujo, Luis Armando Bianchin, Roben Castagna Lunardi, et al. "Computer-generated comprehensive risk assessment for IT project management." In 2010 IEEE/IFIP Network Operations and Management Symposium - NOMS 2010. IEEE, 2010. http://dx.doi.org/10.1109/noms.2010.5488498.

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Zhou, Huayanran. "Study on Operational Risk Assessment of Transmission Lines Based on Fuzzy Evaluation and Qualitative Analysis." In 2017 4th International Conference on Education, Management and Computing Technology (ICEMCT 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/icemct-17.2017.140.

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Akkiraju, Rama, Nitin Nayak, Robert Torok, and Juerg von Kaenel. "A practitioner's tool for enterprise risk management capability assessment." In 2010 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI 2010). IEEE, 2010. http://dx.doi.org/10.1109/soli.2010.5551549.

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Soldatenko, Sergei, Sergei Soldatenko, Genrikh Alekseev, Genrikh Alekseev, Alexander Danilov, and Alexander Danilov. "A MODELING SYSTEM FOR CLIMATE CHANGE RISK ASSESSMENT, MANAGEMENT AND HEDGING IN COASTAL AREAS." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4315ae4ac9.

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Every aspect of human operations faces a wide range of risks, some of which can cause serious consequences. By the start of 21st century, mankind has recognized a new class of risks posed by climate change. It is obvious, that the global climate is changing, and will continue to change, in ways that affect the planning and day to day operations of businesses, government agencies and other organizations and institutions. The manifestations of climate change include but not limited to rising sea levels, increasing temperature, flooding, melting polar sea ice, adverse weather events (e.g. heatwaves, drought, and storms) and a rise in related problems (e.g. health and environmental). Assessing and managing climate risks represent one of the most challenging issues of today and for the future. The purpose of the risk modeling system discussed in this paper is to provide a framework and methodology to quantify risks caused by climate change, to facilitate estimates of the impact of climate change on various spheres of human activities and to compare eventual adaptation and risk mitigation strategies. The system integrates both physical climate system and economic models together with knowledge-based subsystem, which can help support proactive risk management. System structure and its main components are considered. Special attention is paid to climate risk assessment, management and hedging in the Arctic coastal areas.
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Soldatenko, Sergei, Sergei Soldatenko, Genrikh Alekseev, Genrikh Alekseev, Alexander Danilov, and Alexander Danilov. "A MODELING SYSTEM FOR CLIMATE CHANGE RISK ASSESSMENT, MANAGEMENT AND HEDGING IN COASTAL AREAS." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b9398d1adf1.08545898.

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Every aspect of human operations faces a wide range of risks, some of which can cause serious consequences. By the start of 21st century, mankind has recognized a new class of risks posed by climate change. It is obvious, that the global climate is changing, and will continue to change, in ways that affect the planning and day to day operations of businesses, government agencies and other organizations and institutions. The manifestations of climate change include but not limited to rising sea levels, increasing temperature, flooding, melting polar sea ice, adverse weather events (e.g. heatwaves, drought, and storms) and a rise in related problems (e.g. health and environmental). Assessing and managing climate risks represent one of the most challenging issues of today and for the future. The purpose of the risk modeling system discussed in this paper is to provide a framework and methodology to quantify risks caused by climate change, to facilitate estimates of the impact of climate change on various spheres of human activities and to compare eventual adaptation and risk mitigation strategies. The system integrates both physical climate system and economic models together with knowledge-based subsystem, which can help support proactive risk management. System structure and its main components are considered. Special attention is paid to climate risk assessment, management and hedging in the Arctic coastal areas.
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Reports on the topic "Assessment and management of operational risk"

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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43862.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided.
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Alt, Jonathan, Willie Brown, George Gallarno, and John Richards. Risk-based prioritization of operational condition assessments : stakeholder analysis and literature review. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40162.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure. Using the Operational Condition Assessment (OCA) system, the USACE allocates limited resources to assess conditions and maintain assets in efforts to minimize risks associated with asset performance degradation. Currently, OCAs are conducted on each component within a facility every 5 years, regardless of the component’s risk contribution. The analysis of risks associated with Flood Risk Management (FRM) facilities, such as dams, includes considering how the facility contributes to its associated FRM watershed system, understanding the consequences of degradation in the facility’s performance, and calculating the likelihood that the facility will perform as expected given the current OCA condition ratings of critical components. This research will develop a scalable methodology to model the probability of failure of components and systems that contribute to the performance of facilities in their respective FRM systems combined with consequences derived from hydrological models of the watershed to develop facility risk scores. This interim report documents the results of the first phase of this effort, stakeholder analysis and literature review, to identify candidate approaches to determine the probability of failure of a facility.
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Khvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4120.

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The need to control the risk that accompanies businesses in their day- to-day operations, and at the same time changing economic conditions make risk management an almost indispensable element of economic life. Selection of the main aspects of the selected phases of the risk management process: risk identification and risk assessment are related to their direct relationship with the subject matter (risk identification to be managed; risk analysis leading to the establishment of a risk hierarchy, and, consequently, the definition of risk control’ methods) and its purpose (bringing the risk to acceptable level). It is impossible to identify the basic patterns of development of the oil and gas industry without exploring the relationship between economic processes and enterprise risks. The latter are subject to simulation, and based on models it is possible to determine with certain probability whether there have been qualitative and quantitative changes in the processes, in their mutual influence on each other, etc. The work is devoted to exploring the possibilities of applying the Granger test to examine the causal relationship between the risks and obligations of oil and gas companies. The analysis is based on statistical tests and the use of linear regression models.
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Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, 2022. http://dx.doi.org/10.53324/wnsg2302.

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Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its drivers can potentially lead to maladaptation practices. Therefore, multidimensional risk assessments are vital for the successful implementation of ASP. Although many sectoral tools to assess risks exist, available integrated risk assessment methods across sectors are still inadequate in the context of ASP, presenting an important research and implementation gap. ASP is now gaining international momentum, making the timely development of a comprehensive risk analytics tool even more important, including in Indonesia, where nationwide implementation of ASP is currently under way. OBJECTIVE: To address this gap, this study explores the feasibility of a climate and disaster risk analytics tool for ASP (CADRAT-ASP), combining sectoral risk assessment in the context of ASP with a more comprehensive risk analytics approach. Risk analytics improve the understanding of risks by locating and quantifying the potential impacts of disasters. For example, the Economics of Climate Adaptation (ECA) framework quantifies probable current and expected future impacts of extreme events and determines the monetary cost and benefits of specific risk management and adaptation measures. Using the ECA framework, this report examines the viability and practicality of applying a quantitative risk analytics approach for non-financial and non-tangible assets that were identified as central to ASP. This quantitative approach helps to identify cost-effective interventions to support risk-informed decision making for ASP. Therefore, we used Nusa Tenggara, Indonesia, as a case study, to identify potential entry points and examples for the further development and application of such an approach. METHODS &amp; RESULTS: The report presents an analysis of central risks and related impacts on communities in the context of ASP. In addition, central social protection dimensions (SPD) necessary for the successful implementation of ASP and respective data needs from a theoretical perspective are identified. The application of the quantitative ECA framework is tested for tropical storms in the context of ASP, providing an operational perspective on technical feasibility. Finally, recommendations on further research for the potential application of a suitable ASP risk analytics tool in Indonesia are proposed. Results show that the ECA framework and its quantitative modelling platform CLIMADA successfully quantified the impact of tropical storms on four SPDs. These SPDs (income, access to health, access to education and mobility) were selected based on the results from the Hazard, Exposure and Vulnerability Assessment (HEVA) conducted to support the development of an ASP roadmap for the Republic of Indonesia (UNU-EHS 2022, forthcoming). The SPDs were modelled using remote sensing, gridded data and available global indices. The results illustrate the value of the outcome to inform decision making and a better allocation of resources to deliver ASP to the case study area. RECOMMENDATIONS: This report highlights strong potential for the application of the ECA framework in the ASP context. The impact of extreme weather events on four social protection dimensions, ranging from access to health care and income to education and mobility, were successfully quantified. In addition, further developments of CADRAT-ASP can be envisaged to improve modelling results and uptake of this tool in ASP implementation. Recommendations are provided for four central themes: mainstreaming the CADRAT approach into ASP, data and information needs for the application of CADRAT-ASP, methodological advancements of the ECA framework to support ASP and use of CADRAT-ASP for improved resilience-building. Specific recommendations are given, including the integration of additional hazards, such as flood, drought or heatwaves, for a more comprehensive outlook on potential risks. This would provide a broader overview and allow for multi-hazard risk planning. In addition, high-resolution local data and stakeholder involvement can increase both ownership and the relevance of SPDs. Further recommendations include the development of a database and the inclusion of climate and socioeconomic scenarios in analyses.
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Tanner, James C. Operational Risk Management at the Operational Level of War. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada328149.

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Marfo, Sariyu, Shane Ehler, Ryan Fields, et al. UAV Swarm Operational Risk Assessment System. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1009315.

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Miller, James C., and Douglas R. Eddy. Operational Risk Management of Fatigue Effects II. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada501985.

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Travis, C. (Workshop on risk assessment and risk management). Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/6764591.

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Latrash, Frederick. Risk Management: An Integral Part of Operational Planning. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada363058.

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Assessment of Technical Solution and Operational Management. Chair Doreen Kalz. IEA Solar Heating and Cooling Programme, 2015. http://dx.doi.org/10.18777/ieashc-task47-2015-0003.

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