Measuring a Business's Grit and Survivability when Faced with “Black Swan” Events Like the Coronavirus Pandemic

IF 1.6 Q3 BUSINESS, FINANCE
G. Gray, Michael G. Alles
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引用次数: 4

Abstract

The coronavirus crisis disrupted business survivability. Measures, like going concern opinion and bankruptcy predictors, depend on past trends extending into the future. With black swan events, past trends do not extend into the future. We propose two new metrics. The “Going Concern Survivability Index” (GCSI) is the maximum percentage revenue loss that a business can endure as a going concern. The “One Month Resilience Index” (OMRI) is the effect on the net income from the loss of the revenue for its most successful month. While OMRI is straightforward, calculating GCSI requires real options and process mining. The emerging technology of process mining and artificial intelligence are needed to capture the dynamic process by which management will juggle cash flows, sources of funds, and payment of liabilities as revenue falls. This paper is an instance of action design science research, and we discuss the steps to put our artifact into practice.
在面对冠状病毒大流行等“黑天鹅”事件时,衡量企业的毅力和生存能力
冠状病毒危机扰乱了企业的生存能力。诸如持续经营意见和破产预测等指标依赖于延续到未来的过去趋势。在黑天鹅事件中,过去的趋势不会延续到未来。我们提出了两个新的衡量标准。“持续经营生存指数”(GCSI)是一家企业作为持续经营所能承受的最大收入损失百分比。“一个月弹性指数”(OMRI)是指最成功月份收入损失对净收入的影响。虽然OMRI很简单,但计算GCSI需要实际选项和流程挖掘。需要流程挖掘和人工智能的新兴技术来捕捉动态流程,通过这些流程,管理层将在收入下降时处理现金流、资金来源和债务支付。本文是动作设计科学研究的一个实例,我们讨论了将我们的工件付诸实践的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
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