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

IF 1.6 Q3 BUSINESS, FINANCE Journal of Emerging Technologies in Accounting Pub Date : 2021-01-01 DOI:10.2308/jeta-2020-060
G. Gray, Michael G. Alles
{"title":"Measuring a Business's Grit and Survivability when Faced with “Black Swan” Events Like the Coronavirus Pandemic","authors":"G. Gray, Michael G. Alles","doi":"10.2308/jeta-2020-060","DOIUrl":null,"url":null,"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.","PeriodicalId":45427,"journal":{"name":"Journal of Emerging Technologies in Accounting","volume":"1 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Technologies in Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2308/jeta-2020-060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
期刊最新文献
Deloitte Canada’s Cocreated ICT Simulation for Advanced Accounting Navigating the Digital Landscape: Unraveling Technological, Organizational, and Environmental Factors Affecting Digital Auditing Readiness in the Malaysian Public Sector A Tableau Teaching Application in Financial Data Analytics to State Local Governments: A Case Study on Louisiana Local Government Large Language Models: An Emerging Technology in Accounting Editorial Policy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1