• DocumentCode
    2930784
  • Title

    National risk management structural framework in perspective of China Social Stability Risk Assessment

  • Author

    Liu Ze-zhao ; Li Wen-jun

  • Author_Institution
    Sch. of Public Policy & Manage., Xi´an Jiaotong Univ., Xian, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    330
  • Lastpage
    334
  • Abstract
    In order to mitigate potential risks for large-scale engineering projects, various evaluating methods are conducted using both quantitative and qualitative tools. The paper examines social risks from the national engineering projects and puts forward a structural framework cited by the typical practice of China´s Social Stability Risk Assessment (SSRA) Program using the theoretical normative methodology. Combining specific content in China we present explicit functional explanation upon the formation mechanism and evolution models of social stability risk assessment, and furthermore implement a systematic technical review. Our theoretic models can reflect a number of practice issues as well as paradoxes for implementing SSRA in China. Conclusion is that only in a social risk-oriented response innovation SSRA can process complex social risk information, and carry on the comprehensive test of significance for multiple characters. The proposed framework provides a good tool and means of developing risk assessment upon engineering projects to help social risk mitigation.
  • Keywords
    project management; risk management; social sciences; China social stability risk assessment; SSRA program; national engineering projects; national risk management structural framework; social risk mitigation; social risk-oriented response innovation SSRA; theoretical normative methodology; Decision making; Economics; Educational institutions; Government; Public policy; Risk management; Stability analysis; China; SSRA; framework; risk mitigation; social stability risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714792
  • Filename
    6714792