Top 10 Key Risk Factors of GZA Project  Implementation Are Identified with Analytic Hierarchy Process

Jiangping Wan; Guangwei Pan

doi:10.4236/ojbm.2014.23021

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Open Journal of Business and Management > Vol.2 No.3, July 2014

Top 10 Key Risk Factors of GZA Project Implementation Are Identified with Analytic Hierarchy Process ()

Jiangping Wan, Guangwei Pan

School of Business Administration, South China University of Technology, Guangzhou, China.

DOI: 10.4236/ojbm.2014.23021 PDF HTML 2,579 Downloads 3,418 Views Citations

Abstract

This paper has established the implementation process of government investment project-GZA with Wuli-Shili-Renli methodology. The risk factors of three levels in GZA project implementation process are identified with literature survey and expert investigation method. The risk factors evaluation model based on Analytic Hierarchy Process to evaluate the risk factors of GZA project is also established. The conclusion is that the most important primary risk factor is the forming target stage. The secondary risk factor is the decision risks. The top 10 key risk factors are in the following: scientificity, policy supporting, design quality, supervisory mechanism, drawing, costing, budget control, organization structure, personnel quality, democratic participation. The study attempts to facilitate designing the specific strategy to avoid risk in order to improve the GZA project implementation.

Keywords

GZA Project, Risk Factors, Analytic Hierarchy Process, Wuli-Shili-Renli Methodology

Share and Cite:

Wan, J. and Pan, G. (2014) Top 10 Key Risk Factors of GZA Project Implementation Are Identified with Analytic Hierarchy Process. Open Journal of Business and Management, 2, 172-179. doi: 10.4236/ojbm.2014.23021.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Gu, J.F. and Gao, F. (1998) To See Wuli-Shili-Renli Systems Approach from the View of Management Science. Systems Engineering Theory and Practice, 18, 1-5.
[2]	Sheng, Zh.H., You, Q.Zh. and Li, Q. (2008) Methodology and Method of Large Scale Complex Engineering Management: Meta-Synthesis Management. Science & Technology Progress and Policy, 25, 193-197.
[3]	233 Network School (2008) The Classification and Characteristics of Engineering Project Risk Management and Countermeasures. http://www.233.com/jzs1/xmgl/fudao/20080922/085417974.html
[4]	Zhao, Zh.Y., Liu, Y.Sh. and Yang, H.Ch. (2002) Application of Fault Tree Analyzing Method to Risk Management of a Construction Project. Modern Electric Power, 19, 95-99.
[5]	Guo, P. and Shi, P.G. (2005) Research on Fuzzy-Grey Comprehensive Evaluation Method of Project Risk. Journal of Xi’an University of Technology, 21, 106-109.