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| Simulation Research of Targeted Collaborative Decision-Making Model for Large Groups in Major Emergencies |
Hao Zhiyuan1,Ma Jie1,2( ),Sun Wenjing1 |
1School of Business and Management, Jilin University, Changchun 130012, China
2Information Resource Research Center, Jilin University, Changchun 130012, China |
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Abstract [Objective] This paper tries to effectively improve the decision-making efficiency of governmental agencies in major emergencies. [Methods] From the perspective of information dissemination and based on motivation-cognition theory, we focused on the two internal driving dimensions of self-orientation and task-orientation, as well as the three external motivational dimensions induced by stimulus, group structure, and professionalism. By introducing the relevant principles of the SIR transmission model, we constructed a targeted collaboration decision model for the large groups (the TC-LGDM model). [Results] The three realistic factors, i.e., the probability of secondary events, the influence of individual decision makings, and the professional competence of members, are closely related to the final formation and efficacy of large group targeted collaborative decision-making. [Limitations] The decision-making states within the group are limited,and the additional information value formed by the decision-makers in the process of receiving information needs to be explored more deeply. [Conclusions] This study provides valuable references for decision-makers to obtain situational manifestation and trend prediction capabilities. It is also an inevitable choice to enhance the sustainable development and decision-making of government in responding to public crisis risk events.
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Received: 06 June 2022
Published: 13 April 2023
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| Fund:National Social Science Fund of China(20&ZD125);National Natural Science Foundation of Jilin Province(20210101480JC);Project of Philosophy and Social Science Research Innovation Team on “Chinese Modernization Road” and “New Form of Human Civilization” of Jilin University(2022CXTD20) |
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Corresponding Authors:
Ma Jie，ORCID:0000-0002-1471-2143，E-mail:m-1j-1@163.com。
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