TY - JOUR
T1 - Project Complexity Indicators and Management Strategies - A Delphi Study
AU - Kermanshachi, Sharareh
AU - Dao, Bac
AU - Shane, Jennifer
AU - Anderson, Stuart
N1 - Funding Information:
The study described in this paper was supported by the CII RT 305 Research Project. This paper forms a part of the research project titled “Measuring Project Complexity and Its Impact,” from which other deliverables have been produced with common background and methodology. The authors also acknowledge the contributions of other CII RT 305 Research Team members for providing significant inputs to complete this study.
PY - 2016
Y1 - 2016
N2 - Construction industry experts believe that project performance frequently suffers due to construction complexity issues. However, there are limited studies focusing on construction project complexity definition, characteristics and indicators. In this paper, a qualitative Delphi method was applied to identify and validate significant complexity indicators. To fulfill this purpose, ten Subject Matter Experts (SMEs) were invited to participate in a complexity assessment and management workshop. Through two rounds of the Delphi study, the top 30 complexity indicators were identified and ranked. It was concluded that "peak number of participants on the Project Management Team during engineering/design phase of the project", "magnitude of change orders impacting project execution", and "frequency of the workarounds" are the top three complexity indicators respectively. Furthermore, the impact weight associated with each of the complexity indicators were calculated. In the second part of the workshop, the Delphi methodology was again utilized to capture complexity management strategies and practices.
AB - Construction industry experts believe that project performance frequently suffers due to construction complexity issues. However, there are limited studies focusing on construction project complexity definition, characteristics and indicators. In this paper, a qualitative Delphi method was applied to identify and validate significant complexity indicators. To fulfill this purpose, ten Subject Matter Experts (SMEs) were invited to participate in a complexity assessment and management workshop. Through two rounds of the Delphi study, the top 30 complexity indicators were identified and ranked. It was concluded that "peak number of participants on the Project Management Team during engineering/design phase of the project", "magnitude of change orders impacting project execution", and "frequency of the workarounds" are the top three complexity indicators respectively. Furthermore, the impact weight associated with each of the complexity indicators were calculated. In the second part of the workshop, the Delphi methodology was again utilized to capture complexity management strategies and practices.
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U2 - 10.1016/j.proeng.2016.04.048
DO - 10.1016/j.proeng.2016.04.048
M3 - Conference article
AN - SCOPUS:84999780419
SN - 1877-7058
VL - 145
SP - 587
EP - 594
JO - Procedia Engineering
JF - Procedia Engineering
T2 - International Conference on Sustainable Design, Engineering and Construction, ICSDEC 2016
Y2 - 18 May 2016 through 20 May 2016
ER -