The COVID-19 epidemic prevention and control work is characterized by “more unexpectedness, less standardization and more uniqueness”. The use of cloud computing, big data and other new types of information technologies has provided a powerful support for epidemic prevention and control. In the meanwhile, it increases the corresponding system complexity, which leads to the cognitive defect of decision-makers much more highlighted. Based on the complex decision theory, this paper explores the effective method and realization path to compensate for the cognitive defect of decision-makers by taking the cloud platform deployment of the Whole Citizens Nucleic Acid Testing System in Jiangsu Province as an example, in combination with data collected through the situational participation method. The conclusions are that: (1) Decision-makers can make up for their cognitive defect from four dimensions which are the complexity analysis of decision-making problems, the comprehensive control of decision-making targets, the iteration of decision-making processes, and the progressive optimization of decision-making schemes. (2) The decision-making organization platform must take the government as the dominant subject at the initial stage, and determine different dominant subjects spontaneously or by election in different decision-making periods. (3) The collaborative transformation of “physical complexity—system complexity—management complexity” is an effective path for the paradigm shift of complex system thought. This study has theoretical significance and practical value for how to make complex decisions related to the application of new technologies in complex emergencies, and improve the epidemic prevention and control management decision-making level of the government and other decision-makers.
Complex Decisions in the COVID-19 Epidemic Prevention and Control: Based on the Cloud Platform Deployment of the Whole Citizen Nucleic Acid Testing System in Jiangsu Province
Foreign Economics & Management Vol. 45, Issue 01, pp. 55 - 66 (2023) DOI:10.16538/j.cnki.fem.20220621.102
Cite this article
Bai Jia, Yan Xue, Zhi Yong. Complex Decisions in the COVID-19 Epidemic Prevention and Control: Based on the Cloud Platform Deployment of the Whole Citizen Nucleic Acid Testing System in Jiangsu Province[J]. Foreign Economics & Management, 2023, 45(1): 55-66.