Measuring the maturity of risk management in large-scale construction projects

Guangshe Jia, Xiaochuan Ni, Zhen Chen, Baonan Hong, Yuting Chen, Fangjun Yang, Chen Lin

Research output: Contribution to journalArticle

27 Citations (Scopus)

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.

LanguageEnglish
Pages56-66
Number of pages11
JournalAutomation in Construction
Volume34
Early online date21 Dec 2012
DOIs
Publication statusPublished - 30 Sep 2013
Externally publishedYes

Fingerprint

Risk management
Systems science
Project management
Managers

Keywords

  • ANP
  • capabilities
  • emergence
  • maturity
  • organizational management
  • process management
  • risk management

Cite this

Jia, Guangshe ; Ni, Xiaochuan ; Chen, Zhen ; Hong, Baonan ; Chen, Yuting ; Yang, Fangjun ; Lin, Chen. / Measuring the maturity of risk management in large-scale construction projects. In: Automation in Construction. 2013 ; Vol. 34. pp. 56-66.
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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 journalArticle

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