4.7 Article

The challenges of COVID-19 control policies for sustainable development of business: Evidence from service industries

期刊

TECHNOLOGY IN SOCIETY
卷 66, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.techsoc.2021.101643

关键词

COVID-19; Business; Service industry; Enterprise; Production and operation; Ordinal logistic regression; Interpretive structure model

资金

  1. National Social Science Fund of China [16BTJ026, 19ZDA122]
  2. Collaborative Innovation Center of Statistical Data Engineering Technology Application
  3. Characteristic & Preponderant Discipline of Key Construction Universities in Zhejiang Province (Zhejiang Gongshang University-Statistics)

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Large disruptions like the pandemic have increased uncertainty and risk in businesses, making business continuity management an essential solution for emergency response. This study analyzes the impact of risk factors introduced by COVID-19 on business performance in China, using statistical surveys and logistic regression. It also proposes epidemic prevention strategies focused on investment and government regulation for sustainable business development.
Such large-scale disruptions as the pandemic increase the uncertainty and risk related to business. Therefore, the business continuity management (BCM) has become an essential technical solution for enterprise emergency response. Since the beginning of 2020, the COVID-19 has spread worldwide at an alarming rate causing many threats to sustainable development of the business sector. The decline in consumer demand has hugely impacted service industries, such as wholesale and retail sales, tourism. Enterprise production and operations have faced severe challenges. In this study, we develop a risk factor analysis of BCM under the presence of COVID-19 in China. Based on a statistical survey of 940 enterprises in Hangzhou City, China, this study employs ordinal logistic regression to explore the hindering effect of risk factors introduced by the epidemic on business performance. Then, the interpretive structure model (ISM) is applied to analyze the hierarchical structure of the factors under examination. The key factors influencing the enterprise production and operation during COVID-19 outbreak significantly differ across the sub-sectors of the service industry. Therefore, this paper assesses the resilience of the productive technologies and business models of different industries amid the pandemic. This paper proposes epidemic prevention and control strategy focusing on investment and government regulation to ensure sustainable business development.

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