Monitoring and Early Warning of SMEs’ Shutdown Risk under the Impact of Global Pandemic Shock

• Published in: Systems (Basel) Vol. 11; no. 5; p. 260
• Main Authors: Xie, Xiaoliang, Jin, Xiaomin, Wei, Guo, Chang, Ching-Ter
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2023
• Subjects: Algorithms; Bayesian analysis; Bayesian network; Case studies; China; Coronaviruses; COVID-19; Disease transmission; DS evidence theory; Employees; Employment; Epidemics; Global economy; Impact analysis; Literature reviews; Matrix methods; Pandemics; Risk factors; Sensitivity analysis; Shutdowns; Small and medium sized companies; Small business; SME; Statistical analysis; Surveys; Unemployment; China; Brazil; United States > US

The COVID-19 outbreak devastated business operations and the world economy, especially for small and medium-sized enterprises (SMEs). With limited capital, poorer risk tolerance, and difficulty in withstanding prolonged crises, SMEs are more vulnerable to pandemics and face a higher risk of shutdown...