SARS-CoV-2: From risk management to organizational resilience

Author:

Keković Zoran

Abstract

Organizations have responded to the pandemic caused by the SARS-CoV-2 with a very wide range of management functions and capabilities: risk management, crisis management, emergency management, business continuity management and disaster management. Common to all of them is decision-making in situations of high uncertainty based on the assessed risk. Given available data from the World Health Organization that six months after pandemic had been declared, the number of patients and deaths is constantly increasing, the question arises whether the lack of key information on risk in conditions of high uncertainty caused by coronavirus, in paralel with the complexity of modern (natural, social, technical) systems and their interactions, has issued the application of the traditional concept of risk management based on historical data, statistics, and cost-benefit analysis. Based on the assumption that in conditions of uncertainty and non-routine environment, risk-based decision making process in complex systems suffers from numerous shortcomings, we will review the practical and methodological limitations of this concept through key stages of the risk assessment process. At the same time, the aim of this paper is to point out the advantages of applying the concept of organizational resilience in managing complex systems, starting from the fact that immune systems and resilient organizations are the most effective response strategy to non-routine risks (low frequency events and catastrophic consequences). The basic changes we propose in the process of managing the non-routine risks of infectious diseases that led to the crisis caused by the SARS-CoV-2 pandemic are based on the conclusion that the anticipatory strategy aimed at predicting events needs to be "expanded" with a system resilience strategy. This does not diminish the importance of a risk-based decision-making approach in conditions of uncertainty.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Reference31 articles.

1. Alexander F. Siegenfeld, Yaneer Bar-Yam, An Introduction to Complex Systems Science and Its Applications, Wiley, Hindawi Complexity, Volume 2020, Article ID 6105872, 16 pages https://doi.org/10.1155/2020/6105872, 8. septembar 2020;

2. Anderson, V. & Johnson, L. (2000). System Thinking Basics, From Concepts to Causal Loops. Waltham: MA Pegasus Communications;

3. Arjen Boin, Martin Lodge, Making sense of an existential crisis: The ultimate leadership challenge, https://www.transcrisis.eu/making-sense-of-an-existentialcrisis-the-ultimateleadership-challenge/, 17. april 2020;

4. Brankica Potkonjak-Lukić, Stanislav Stojanović, Vojna neutralnost Republike Srbije u svetlu teorije determinističkog haosa, Uticaj vojne neutralnosti Srbije na bezbednost i stabilnost u Evropi (ur. Srđan Korać), IMMP, Beograd, Hanns Seidel Stiftung-Kancelarija za Srbiju I Crnu Goru, Beograd, str. 97-117;

5. Visualcapitalist, The Impact of COVID-19 Shutdowns on the Gold Supply Chain, https://www.visualcapitalist.com/impact-of-covid-19-on-the-gold-supply-chain;

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effects of uncertainty in decision-making about system risks;Годишњак Факултета безбедности;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3