Abstract
Frequent public emergencies are the significant symbol of risk society with serious social hazards. When public emergency responses are poor, the governance capabilities of relevant organizations face serious challenges in terms of heavy casualties, property losses, personal psychological shocks, and so on. Various organization dilemmas both cause and are intensified by organizational interaction abnormality or failure during the overall dilemma-governance process. As an acute respiratory infectious disease, the Coronavirus Disease 2019 (COVID-19) has been causing worldwide infections since early 2020. It is a catastrophic public health emergency that is threatening the entire world. Thus, there is an urgent need to study interactions between organizations, as well as dilemma-governance strategies used to deal with the epidemic. Organizations related to epidemic prevention and control must be identified from epidemic-related online texts by data collectors, and the topic-oriented web crawler method is used to provide organizational interaction data to model the complex network of organizational interactions during the COVID-19 epidemic. In addition, the overall characteristics of the network should be analyzed with respect to network parameters such as degree, betweenness, and eigenvectors. Finally, fault analysis based on relative scales of maximal connected components must apply to determine critical nodes and edges to facilitate the formulation of dilemma-governance strategies. The paper provides innovative theoretical support for complex network application in public dilemma governance.
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This work was supported by the National Science Foundation of China under Grant number 71702136.
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Yang, L., Hu, X., Lou, J. (2021). Organizational Interaction and Dilemma Governance Strategies in Response to the COVID-19 Epidemic. In: Lu, X., Zhang, Z., Lu, W., Peng, Y. (eds) Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate. CRIOCM 2020. Springer, Singapore. https://doi.org/10.1007/978-981-16-3587-8_8
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