2019年冠状病毒病(COVID-19)
收入
动态能力
大流行
业务
考试(生物学)
2019-20冠状病毒爆发
理论(学习稳定性)
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
实证研究
产业组织
营销
计算机科学
会计
病毒学
医学
统计
病理
疾病
传染病(医学专业)
古生物学
机器学习
爆发
生物
数学
作者
Jack Clampit,Melanie P. Lorenz,John E. Gamble,Jim Lee
标识
DOI:10.1177/02662426211033270
摘要
COVID-19 wreaked havoc on public health and the global economy. Small and medium-sized enterprises (SMEs) were hit especially hard. In this research note, we test the ability of dynamic capabilities (DCs) to predict SME performance during the pandemic. Based on our analysis of data from a survey conducted in the United States, we find that DCs meaningfully predicted both operational levels and revenue. Furthermore, while the empirical literature suggests that SME size is positively related to DC efficacy, we found that this effect was reversed during COVID-19, as the positive link between DCs and performance was stronger for smaller SMEs.
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