scholarly journals THE STRATEGIC MANAGEMENT MODEL FOR COVID 19 "A RACE AGAINST TIME": EVIDENCE FROM PEOPLE'S REPUBLIC OF CHINA

2021 ◽  
Vol 37 (03) ◽  
pp. 278-286
Author(s):  
Zahid Sarwar ◽  
Muhammad Asif Khan ◽  
Aaqib Sarwar
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Strategic Management ◽  
Health And Safety ◽  
Management Model ◽  
Republic Of China ◽  
The Public ◽  
Proposed Model ◽  
Emergency Decision Making ◽  
Emergency Decision

This article narrates that strategic leadership thinking and quick decision- making ability are vital to minimize the negative impact of COVID 19 on the public health and safety. Current outbreak poses serious need to develop a model for tackling the outbreak. The study also argues that the strategic management process and emergency decision-making provide direction to the leadership efforts in ensuring public health and enable scientific allocation of resources during the COVID 19 pandemic. The study presents the strategic management model of COVID 19 by integrating the strategic management process with emergency decision-making model. The study applies the model on People's Republic of China experience with COVID 19 and finds high applicability of proposed model. Moreover, the study argues that other countries can use proposed model to guard the public health and safety by defeating COVID 19. Deloped strategic management model posses a significant practical implications in the current scenarios, as COVID 19 is posing a threat to human race.

scholarly journals The Risk Perception, Behavior of the Public and Public Emotional Guidance Under Emergency of Public Health Research

2021 ◽  
pp. 1-15
Author(s):  
Hui-Min Zong ◽  
Yu-Jia Wang ◽  
Lin-Ling Shi ◽  
Yi-Bo Wu
Keyword(s):  
Public Health ◽  
Risk Perception ◽  
Public Health Research ◽  
The Public ◽  
Public Health Emergencies ◽  
Public Risk ◽  
Depth Study ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
The Impact

The psychological changes and behavior of the public in the face of public health emergencies are the important reference for emergency decision-making. This paper systematically reviews the risk perception, behavior and emotion under public health emergencies, and attempts to provide a theoretical framework for the in-depth study of the relationship and influencing factors among the three, so as to further explore the impact of emergency communication resource allocation on public risk perception, behavior and emotion. To provide a theoretical basis for the establishment of a multi-level and comprehensive emotional guidance mechanism.

An improved multi-criteria emergency decision-making method in environmental disasters

2021 ◽  
Author(s):  
Guang-Jun Jiang ◽  
Hong-Xia Chen ◽  
Hong-Hua Sun ◽  
Mohammad Yazdi ◽  
Arman Nedjati ◽  
...  
Keyword(s):  
Decision Making ◽  
Environmental Disasters ◽  
Emergency Decision Making ◽  
Emergency Decision

scholarly journals An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study

2018 ◽  
Vol 10 (10) ◽  
pp. 3453 ◽  
Author(s):  
Jiyong Ding ◽  
Juefang Cai ◽  
Guangxiang Guo ◽  
Chen Chen
Keyword(s):  
Decision Making ◽  
Bayesian Analysis ◽  
Emergency Management ◽  
Utility Theory ◽  
Urban Traffic ◽  
Economic Losses ◽  
Water Logging ◽  
Multi Attribute Utility Theory ◽  
Emergency Decision Making ◽  
Emergency Decision

With the rapid development of the urbanization process, rainstorm water-logging events occur more frequently in big cities in China, which causes great impact on urban traffic safety and brings about severe economic losses. Water-logging has become a hot issue of widespread concern in China. As one kind of natural disasters and emergencies, rainstorm water-logging has the uncertainties of occurrence, development, and evolution. Thus, the emergency decision-making in rainstorm water-logging should be carried out in stages according to its development trend, which is very complicated. In this paper, an emergency decision-making method was proposed for urban water-logging with a hybrid use of dynamic network game technology, Bayesian analysis, and multi-attribute utility theory. The dynamic game process between “rainstorm water-logging” and “decision-making group” was established and the dynamic generation of emergency schemes was analyzed based on Bayesian analysis in various stages of water-logging. In terms of decision-making attributes, this paper mainly considered two goals, i.e., ensuring smooth traffic and controlling emergency cost. The multi-attribute utility theory was used to select the final scheme. An example analysis in Guangzhou of China showed that the method is more targeted and can achieve emergency management objectives more effectively when compared with traditional methods. Therefore, it can provide reference for the scientific decision-making of emergency management in urban rainstorm water-logging.

scholarly journals Managing Non-Homogeneous Information and Experts’ Psychological Behavior in Group Emergency Decision Making

Symmetry ◽  
2017 ◽  
Vol 9 (10) ◽  
pp. 234 ◽  
Author(s):  
Liang Wang ◽  
Álvaro Labella ◽  
Rosa M. Rodríguez ◽  
Ying-Ming Wang ◽  
Luis Martínez
Keyword(s):  
Decision Making ◽  
Psychological Behavior ◽  
Emergency Decision Making ◽  
Emergency Decision

scholarly journals An Artificial Intelligence Fusion Model for Cardiac Emergency Decision Making: Application and Robustness Analysis

10.2196/19428 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e19428
Author(s):  
Liheng Gong ◽  
Xiao Zhang ◽  
Ling Li
Keyword(s):  
Decision Making ◽  
Medical Treatment ◽  
Coordination Mechanism ◽  
Theoretical Research ◽  
Medical Decision ◽  
Knowledge Reasoning ◽  
Emergency Medical ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Cardiac Emergency

Background During cardiac emergency medical treatment, reducing the incidence of avoidable adverse events, ensuring the safety of patients, and generally improving the quality and efficiency of medical treatment have been important research topics in theoretical and practical circles. Objective This paper examines the robustness of the decision-making reasoning process from the overall perspective of the cardiac emergency medical system. Methods The principle of robustness was introduced into our study on the quality and efficiency of cardiac emergency decision making. We propose the concept of robustness for complex medical decision making by targeting the problem of low reasoning efficiency and accuracy in cardiac emergency decision making. The key bottlenecks such as anti-interference capability, fault tolerance, and redundancy were studied. The rules of knowledge acquisition and transfer in the decision-making process were systematically analyzed to reveal the core role of knowledge reasoning. Results The robustness threshold method was adopted to construct the robustness criteria group of the system, and the fusion and coordination mechanism was realized through information entropy, information gain, and mutual information methods. Conclusions A set of fusion models and robust threshold methods such as the R2CMIFS (treatment mode of fibroblastic sarcoma) model and the RTCRF (clinical trial observation mode) model were proposed. Our study enriches the theoretical research on robustness in this field.

Pythagorean probabilistic hesitant fuzzy aggregation operators and their application in decision-making

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bushra Batool ◽  
Saleem Abdullah ◽  
Shahzaib Ashraf ◽  
Mumtaz Ahmad
Keyword(s):  
Decision Making ◽  
Fuzzy Number ◽  
Weighted Average ◽  
Aggregation Operators ◽  
Content Type ◽  
Operational Laws ◽  
Fuzzy Aggregation ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Established Technique

PurposeThis is mainly because the restrictive condition of intuitionistic hesitant fuzzy number (IHFN) is relaxed by the membership functions of Pythagorean probabilistic hesitant fuzzy number (PyPHFN), so the range of domain value of PyPHFN is greatly expanded. The paper aims to develop a novel decision-making technique based on aggregation operators under PyPHFNs. For this, the authors propose Algebraic operational laws using algebraic norm for PyPHFNs. Furthermore, a list of aggregation operators, namely Pythagorean probabilistic hesitant fuzzy weighted average (PyPHFWA) operator, Pythagorean probabilistic hesitant fuzzy weighted geometric (PyPHFWG) operator, Pythagorean probabilistic hesitant fuzzy ordered weighted average (PyPHFOWA) operator, Pythagorean probabilistic hesitant fuzzy ordered weighted geometric (PyPHFOWG) operator, Pythagorean probabilistic hesitant fuzzy hybrid weighted average (PyPHFHWA) operator and Pythagorean probabilistic hesitant fuzzy hybrid weighted geometric (PyPHFHWG) operator, are proposed based on the defined algebraic operational laws. Also, interesting properties of these aggregation operators are discussed in detail.Design/methodology/approachPyPHFN is not only a generalization of the traditional IHFN, but also a more effective tool to deal with uncertain multi-attribute decision-making problems.FindingsIn addition, the authors design the algorithm to handle the uncertainty in emergency decision-making issues. At last, a numerical case study of coronavirus disease 2019 (COVID-19) as an emergency decision-making is introduced to show the implementation and validity of the established technique. Besides, the comparison of the existing and the proposed technique is established to show the effectiveness and validity of the established technique.Originality/valuePaper is original and not submitted elsewhere.

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