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How Can Enterprise Risk Management Help in Evaluating the Operational Risks for a Telecommunications Company?

机译:企业风险管理如何帮助评估电信公司的运营风险?

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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.
机译:操作风险被定义为由流程,人员,设备和系统或外部事件中的不充分或失败或失败引起的事件导致的潜在损失。本公司管理层最重要的挑战是通过其运行风险识别和评估来改善其结果。大多数企业风险管理(ERM)奖学金在金融/风险管理和保险(RMI)纪律方面有根源,主要是在银行业。本研究提出了一种创新的操作风险评估方法(OPRAM),以评估侧重于电信公司(Telco)的业务风险,基于运营风险自我评估(OPRSA)过程和方法。 OPRSA流程通过定量分析评估运营风险,估计哪个投入是经济影响和事件发生的可能性。 OPRSA方法是计算经济风险影响,应用精算技术的“发动机”,允许估计意外损失和预期损失电信中的分布。将分析的业务部门在现场工作中的结果与标准化评级进行比较(可接受,可管理,批判性或灾难性),并对公司的管理人员形成鲜明对比,证明OPRSA框架是业务的可靠和有用的管理工具,在运营风险管理是公司成功的关键的其他部门中,导致更多研究。

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