DocumentCode :
2573326
Title :
Research on social risk early warning in overseas projects of oil companies
Author :
Chen, Yan ; Li, Zhixiang
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
3502
Lastpage :
3505
Abstract :
Aiming to the problems of social risk in overseas projects, this paper established social risk early warning model. Social risk earning warning index system was divided into five types of " political risks", "economic risks", "cultural risks", "social risks", "force majeure", including 5 primary indicators, 13 secondary indicators, and 31 observable indicators. The research selected "AHP-Entropy Method" as portfolio weighting method to evaluate the indicators and artificial neural network to build the social risk early warning model. At last the model was tested with 24 sample case. Risk warning model can identify risk, so that enterprises can effectively avoid risks, reduce losses.
Keywords :
alarm systems; decision making; economic indicators; entropy; neural nets; petroleum industry; risk analysis; AHP-entropy method; artificial neural network; cultural risk; economic risk; oil companies; overseas projects; political risk; portfolio weighting method; risk identification; social risk early warning index system; social risk early warning model; Artificial neural networks; Economics; Educational institutions; Entropy; Monitoring; Petroleum; Portfolios; AHP method; artificial neural network; entropy method; social risk early warning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5972096
Filename :
5972096
Link To Document :
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