Research on Risk Management in Ocean Transportation Enterprises Based on Game Strategy Model

被引:2
作者
Shang, Shuying [1 ,2 ]
Zhao, Yaopei [2 ]
Chen, Ze-Ming [1 ]
机构
[1] Chongqing Univ, Sch Econ & Business Adm, Chongqing 400044, Peoples R China
[2] Shandong Management Univ, Jinan 250357, Peoples R China
关键词
Ocean transportation; corporate risk; game strategy; Stackelberg model; benefit distribution; DECISION; FLOWS;
D O I
10.2112/JCR-SI111-048.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the current global economic recession, enterprises themselves cannot resist industry risks on their own. Therefore, shipping enterprises need to form an alliance to work together to mitigate the risks brought by the global financial crisis. Enhancing the degree of collaboration between enterprises may not only reduce the cost of enterprise operations, but it can also better diversify the risks incurred by the world economy and trade. In order to improve the degree of cooperation between shipping enterprises, this study investigated the profit distribution among shipping industry chain enterprises. Based on the idea of game theory, this study first used the Stackelberg model to solve for the profit distribution scheme under various cooperation situations of member enterprises in the shipping industry chain. Then, the theory of cooperative game was adopted, and the Shapley value method was used to solve the benefit distribution scheme. Results show that this model can improve the overall risk management ability, and this is of great significance to improve business stability and stimulate the development potential of a company.
引用
收藏
页码:268 / 271
页数:4
相关论文
共 10 条
  • [1] Advanced uncertainty modelling for container port risk analysis
    Alyami, Hani
    Yang, Zaili
    Riahi, Ramin
    Bonsall, Stephen
    Wang, Jin
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2019, 123 : 411 - 421
  • [2] A new connectivity index for container ports
    Bartholdi, John J., III
    Jarumaneeroj, Pisit
    Ramudhin, Amar
    [J]. MARITIME ECONOMICS & LOGISTICS, 2016, 18 (03) : 231 - 249
  • [3] Vulnerability of international freight flows to shipping network disruptions: A multiplex network perspective
    Calatayud, Agustina
    Mangan, John
    Palacin, Roberto
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2017, 108 : 195 - 208
  • [4] Multilayer dynamics of complex spatial networks: The case of global maritime flows (1977-2008)
    Ducruet, Cesar
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2017, 60 : 47 - 58
  • [5] Risk assessment framework for exposure of cargo and ports to natural hazards and climate extremes
    Lam, Jasmine Siu Lee
    Lassa, Jonatan A.
    [J]. MARITIME POLICY & MANAGEMENT, 2017, 44 (01) : 1 - 15
  • [6] Moslemi A., 2016, MARITIME BUSINESS RE, V42, P33
  • [7] Risk management abilities in multimodal maritime supply chains: Visibility and control perspectives
    Vilko, Jyri
    Ritala, Paavo
    Hallikas, Jukka
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2019, 123 : 469 - 481
  • [8] Ship type decision considering empty container repositioning and foldable containers
    Wang, Kai
    Wang, Shuaian
    Zhen, Lu
    Que, Xiaobo
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2017, 108 : 97 - 121
  • [9] A flexible decision-support solution for intervention measures of grounded ships in the Yangtze River
    Wu, Bing
    Yan, Xinping
    Yip, Tsz Leung
    Wang, Yang
    [J]. OCEAN ENGINEERING, 2017, 141 : 237 - 248
  • [10] A new hybrid approach to human error probability quantification-applications in maritime operations
    Xi, Y. T.
    Yang, Z. L.
    Fang, Q. G.
    Chen, W. J.
    Wang, J.
    [J]. OCEAN ENGINEERING, 2017, 138 : 45 - 54