Author:
Yang Lijiao,Chen Yu,Jiang Xinyu,Tatano Hirokazu
Abstract
AbstractThe Covid-19 pandemic has severely affected enterprises worldwide. It is thus of practical significance to study the process of enterprise recovery from Covid-19. However, the research on the effects of relevant determinants of business recovery is limited. This article presents a multistate modeling framework that considers the determinants, recovery time, and transition likelihood of Chinese enterprises by the state of those enterprises as a result of the pandemic (recovery state), with the help of an accelerated failure time model. Empirical data from 750 enterprises were used to evaluate the recovery process. The results indicate that the main problems facing non-manufacturing industries are supply shortages and order cancellations. With the increase of supplies and orders, the probability of transition between different recovery states gradually increases, and the recovery time of enterprises becomes shorter. For manufacturing industries, the factors that hinder recovery are more complex. The main problems are employee panic and order cancellations in the initial stage, employee shortages in the middle stage, and raw material shortages in the full recovery stage. This study can provide a reference for enterprise recovery in the current pandemic context and help policymakers and business managers take necessary measures to accelerate recovery.
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Safety Research,Geography, Planning and Development,Global and Planetary Change
Reference50 articles.
1. Aalen, O.O., Ø. Borgan, and H.K. Gjessing. 2008. Survival and event history analysis. New York: Springer.
2. Adam, A., R. Hassan, and H. Abdullah. 2021. Maintaining the survival of Malaysian SMEs during Covid-19 outbreak: Challenges and suggestion for management. ASEAN Entrepreneurship Journal 7(1): 27–33.
3. Andersen, P.K., and N. Keiding. 2002. Multi-state models for event history analysis. Statistical Methods in Medical Research 11(2): 91–115.
4. Asgary, A., M.I. Anjum, and N. Azimi. 2012. Disaster recovery and business continuity after the 2010 flood in Pakistan: Case of small businesses. International Journal of Disaster Risk Reduction 2: 46–56.
5. Battisti, M., and D. Deakins. 2017. The relationship between dynamic capabilities, the firm’s resource base and performance in a post-disaster environment. International Small Business Journal 35(1): 78–98.
Cited by
6 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