scholarly journals The importance of actuarial management in insurance business decision-making in the twenty-first century

2021 ◽  
Vol 26 ◽  
Author(s):  
Oscar Espinosa ◽  
Armando Zarruk

Abstract This study aims to carry out and document a systematic analysis of the literature on the importance of actuarial management in insurance managerial decision-making in the twenty-first century. After a short introduction to the business context, the paper presents an analysis of a rigorous review of the literature published between the years 2000 and 2020, which highlights the benefits and challenges of the formal application of various risk management tools. The following topics are emphasized: (i) actuarial cycle control and uncertainty management, (ii) quantitative strategic risk framework and financial modelling, and (iii) enterprise risk management with a value-based approach. This work will help future researchers to gain a better understanding of, and explicitly account for, the different contributions and benefits of actuarial management in the context of managerial decision-making in an organisation.

Author(s):  
Yacov Y. Haimes

Risk models provide the roadmaps that guide the analyst throughout the journey of risk assessment, if the adage ‘To manage risk, one must measure it’ constitutes the compass for risk management. The process of risk assessment and management may be viewed through many lenses, depending on the perspective, vision, values, and circumstances. This chapter addresses the complex problem of coping with catastrophic risks by taking a systems engineering perspective. Systems engineering is a multidisciplinary approach distinguished by a practical philosophy that advocates holism in cognition and decision making. The ultimate purposes of systems engineering are to (1) build an understanding of the system’s nature, functional behaviour, and interaction with its environment, (2) improve the decision-making process (e.g., in planning, design, development, operation, and management), and (3) identify, quantify, and evaluate risks, uncertainties, and variability within the decision-making process. Engineering systems are almost always designed, constructed, and operated under unavoidable conditions of risk and uncertainty and are often expected to achieve multiple and conflicting objectives. The overall process of identifying, quantifying, evaluating, and trading-off risks, benefits, and costs should be neither a separate, cosmetic afterthought nor a gratuitous add-on technical analysis. Rather, it should constitute an integral and explicit component of the overall managerial decision-making process. In risk assessment, the analyst often attempts to answer the following set of three questions (Kaplan and Garrick, 1981): ‘What can go wrong?’, ‘What is the likelihood that it would go wrong?’, and ‘What are the consequences?’ Answers to these questions help risk analysts identify, measure, quantify, and evaluate risks and their consequences and impacts. Risk management builds on the risk assessment process by seeking answers to a second set of three questions (Haimes, 1991): ‘What can be done and what options are available?’, ‘What are their associated trade-offs in terms of all costs, benefits, and risks?’, and ‘What are the impacts of current management decisions on future options?’ Note that the last question is the most critical one for any managerial decision-making.


2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Anton N. Karamyshev

Existing technologies for substantiating the modernization of basic business processes make it relatively easy to calculate the economic effect of its implementation (by saving resources, reducing labor intensity, increasing both labor productivity and production volumes) because all calculations are based primarily on linear relationships. The rationale for the modernization of auxiliary business processes is more problematic since their specific features significantly complicate the calculation of the economic effect. Firstly, there is a lack of information about the technologies for supporting auxiliary business processes. Secondly, the existing management tools do not consider the complex and closed nature of economic relations between supporting business processes. Thirdly, the complexity of assessing the quality of products of auxiliary business processes and their impact on the main business processes. In order to provide an opportunity to justify business process modernization projects, the author has developed a model that evaluates the effectiveness of a managerial decision on modernization based on changes in the total profit of the enterprise, which differs from the existing ones taking into account the cyclical nature of economic relationships between auxiliary business processes. The developed model for managerial decision-making for the modernization of business process technologies at a large industrial enterprise is based on the author’s method of calculating the cost of production of a large machine-building enterprise, taking into account the principle of multi-cyclical distribution of the cost of auxiliary business processes


2020 ◽  
Vol 10 (3) ◽  
pp. 75
Author(s):  
Alena Splichalova ◽  
David Patrman ◽  
Nikol Kotalova ◽  
Martin Hromada

Managerial decision making is an integral process used in public and private organizations. Critical infrastructure entities are a strategically significant group dependent on the quality of decision-making processes. They aim to provide services necessary to ensure state security and to satisfy basic human needs. The quality of decision making is an important factor in the management of these entities. The quality level is determined by many factors, the key of which is risk management. For this reason, it is necessary for the operators to minimize risks affecting the elements of the critical infrastructure through which these services are provided. Risk management is commonly used for this purpose, making it possible to assess and manage these risks. However, there is a specific group of threats that affects the resilience of these elements. The indication of these threats is not possible through common risk management. Therefore, it is necessary to develop specific scenarios of negative impacts and procedures for assessing their impact on the resilience of elements of the critical infrastructure. To this end, this conceptual article introduces an entirely new managerial decision-making process for indicating the resilience of critical infrastructure elements.


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