Abstract
The uncertainties and randomness in multi-dimensional risk management (RM) in large-scale construction projects should be effectively detected and measured through reliable managerial procedures to eliminate or reduce adverse consequences such as casualties and asset damages in advance. This paper aims at an innovative technical solution for project managers to better understand the level of RM practice by means of RM maturity measurement. Based on the theory of system science and previous research into project management in the maturity of RM, this paper describes the prototype of an RM Maturity System (RMMS) for large-scale construction projects. The system is underpinned by using the Analytic Network Process (ANP) method in order to measure the overall effectiveness of RM against major risk factors. The RMMS consists of three components to focus on capabilities, evaluation and evolution in RM. A case study is given at the end to verify the feasibility of the system.
| Language | English |
|---|---|
| Pages | 56-66 |
| Number of pages | 11 |
| Journal | Automation in Construction |
| Volume | 34 |
| Early online date | 21 Dec 2012 |
| DOIs | |
| Publication status | Published - 30 Sep 2013 |
| Externally published | Yes |
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Keywords
- ANP
- capabilities
- emergence
- maturity
- organizational management
- process management
- risk management
Cite this
}
Measuring the maturity of risk management in large-scale construction projects. / Jia, Guangshe; Ni, Xiaochuan; Chen, Zhen; Hong, Baonan; Chen, Yuting; Yang, Fangjun; Lin, Chen.
In: Automation in Construction, Vol. 34, 30.09.2013, p. 56-66.Research output: Contribution to journal › Article
TY - JOUR
T1 - Measuring the maturity of risk management in large-scale construction projects
AU - Jia, Guangshe
AU - Ni, Xiaochuan
AU - Chen, Zhen
AU - Hong, Baonan
AU - Chen, Yuting
AU - Yang, Fangjun
AU - Lin, Chen
PY - 2013/9/30
Y1 - 2013/9/30
N2 - The uncertainties and randomness in multi-dimensional risk management (RM) in large-scale construction projects should be effectively detected and measured through reliable managerial procedures to eliminate or reduce adverse consequences such as casualties and asset damages in advance. This paper aims at an innovative technical solution for project managers to better understand the level of RM practice by means of RM maturity measurement. Based on the theory of system science and previous research into project management in the maturity of RM, this paper describes the prototype of an RM Maturity System (RMMS) for large-scale construction projects. The system is underpinned by using the Analytic Network Process (ANP) method in order to measure the overall effectiveness of RM against major risk factors. The RMMS consists of three components to focus on capabilities, evaluation and evolution in RM. A case study is given at the end to verify the feasibility of the system.
AB - The uncertainties and randomness in multi-dimensional risk management (RM) in large-scale construction projects should be effectively detected and measured through reliable managerial procedures to eliminate or reduce adverse consequences such as casualties and asset damages in advance. This paper aims at an innovative technical solution for project managers to better understand the level of RM practice by means of RM maturity measurement. Based on the theory of system science and previous research into project management in the maturity of RM, this paper describes the prototype of an RM Maturity System (RMMS) for large-scale construction projects. The system is underpinned by using the Analytic Network Process (ANP) method in order to measure the overall effectiveness of RM against major risk factors. The RMMS consists of three components to focus on capabilities, evaluation and evolution in RM. A case study is given at the end to verify the feasibility of the system.
KW - ANP
KW - capabilities
KW - emergence
KW - maturity
KW - organizational management
KW - process management
KW - risk management
UR - http://www.scopus.com/inward/record.url?scp=84878622078&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2012.10.015
DO - 10.1016/j.autcon.2012.10.015
M3 - Article
VL - 34
SP - 56
EP - 66
JO - Automation in Construction
T2 - Automation in Construction
JF - Automation in Construction
SN - 0926-5805
ER -