零售连锁失败的预测:最近美国零售业失败的例子

IF 2.7 3区 经济学 Q2 ECONOMICS
Shawn Berry
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引用次数: 0

摘要

在过去的几年里,几家著名的实体零售连锁店已经停止运营,引发了一些人称之为零售业末日的担忧。学者们试图用各种方法来建立企业失败可能性的模型。本研究考察了Bed Bath and Beyond、J.C. Penney、Rite Aid和Sears Holdings在2013年至2022年间在美国的失败案例。使用年度报告和宏观经济数据来考虑内部和外部公司因素的零售失败模型使用逻辑回归、PCA和随机森林方法进行分析和评估。研究结果表明,在各种建模方法中,EBITDA/Revenue和美国年平均通胀率都是零售业失败的有力预测指标。建模结果可在故障发生前至少1 ~ 2年提供预警信号,准确率为93.8% ~ 96.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Retail Chain Failure: Examples of Recent US Retail Failures

Over the last several years, several prominent brick-and-mortar retail chains have ceased operations, raising concerns that some have referred to as the retail apocalypse. Scholars have attempted to model the likelihood of firm failure using various approaches. This study examines the failures of Bed Bath and Beyond, J.C. Penney, Rite Aid, and Sears Holdings in the United States between 2013 and 2022. Retail failure models that consider internal and external firm factors using both annual reports and macroeconomic data were analyzed and evaluated using logistic regression, PCA, and Random Forest approaches. The findings suggest that EBITDA/Revenue and annual average US inflation rates are strong predictors of retail failure across various modeling approaches. The modeling results provide an early warning signal at least 1–2 years before failure, with accuracies of 93.8%–96.9%.

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来源期刊
CiteScore
1.40
自引率
18.20%
发文量
242
期刊介绍: Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.
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