A Strategy Selection Model for Network Survivability

2008 ◽  
Author(s):  
Huiqiang Wang ◽  
Guosheng Zhao ◽  
Jian Wang
Keyword(s):  
Network Survivability ◽  
Selection Model ◽  
Strategy Selection

Strategy selection model for network survivability based on stochastic game

2013 ◽  
Vol 32 (9) ◽  
pp. 2609-2612
Author(s):  
Xiao LIANG ◽  
Xiang-ru MENG ◽  
Xu-chun ZHUANG ◽  
Wen WU
Keyword(s):  
Stochastic Game ◽  
Network Survivability ◽  
Selection Model ◽  
Strategy Selection

Design and formulation of branding strategy selection model in organizations: multi business firms

2014 ◽  
Vol 6 (6) ◽  
pp. 416-430 ◽  
Author(s):  
Alireza Alizadeh ◽  
Asghar Moshabaki ◽  
Seyyed Hamid Khodadad Hoseini ◽  
Asadollah Kordnaeij
Keyword(s):  
Selection Model ◽  
Strategy Selection ◽  
Branding Strategy

Research on project risk response strategy selection based on grey K-shell algorithm

2020 ◽  
Vol 10 (4) ◽  
pp. 425-438
Author(s):  
Yanfeng Chu ◽  
Zhongren Wang
Keyword(s):  
Risk Factors ◽  
Project Managers ◽  
Selection Model ◽  
Response Strategy ◽  
Strategy Selection ◽  
Project Risk ◽  
Content Type ◽  
Risk Response ◽  
Response Strategies ◽  
Complex Project

Purpose There are a large number of interdependent risk factors in complex project. Risk response strategy without considering risk correlation cannot achieve good risk response. Therefore, the purpose of this paper is to propose a risk response strategy selection model considering risk correlation based on the grey K-shell algorithm. Design/methodology/approach This paper mainly focuses on the measurement of two aspects of risk factors. One is the ability of the risk factors to influence other risk factors, another is the degree affected by other risk factors. Both of the above are measured by the grey K-shell algorithm improved in this paper, and the weights of these are used for the constructing of risk response strategy selection model. Findings The risk response strategy considering risk relevance is more effective than the risk response strategy without considering risk relevance. Also, results indicate that as the risk response budget increases the risk response effect also increases, and the increasing trend is weakens. The relative gap between the effect of response strategies considering risk relevance and the strategy without considering risk relevance increases first and, then, decreases with the increase of budget. Originality/value The results of this paper demonstrate that the risk response strategy considering risk relevance is more effective than not considering risk relevance. The approach presented in this paper can guide project managers’ risk decisions and may also help to find the best risk response budget.

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