TY - JOUR
T1 - An Empirical Study into Identifying Project Complexity Management Strategies
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 Construction Industry Institute (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 inputs to complete this study.
PY - 2016
Y1 - 2016
N2 - Complexity is a term that is used throughout the construction industry. When complexity is poorly understood and managed, project failure become the norm. However, there are limited number of studies which investigated best practices which could overcome the undesired outcomes of complexity challenges. This research focused on identifying strategies to manage complexity in order to increase the likelihood of project success. Initially, this paper reviewed different project complexity definitions and suggested a single definition. Furthermore, the differences between complexity, uncertainty and risk were explained. Moreover, complexity management strategies were collected and enhanced. For this purpose, two rounds of qualitative Delphi method were applied to identify and improve complexity management best practices. In the first round, Subject Matter Experts were asked to individually provide top complexity management strategies. In the second round of this study, the twelve experts were participated in a complexity management workshop to advance the identified strategies.
AB - Complexity is a term that is used throughout the construction industry. When complexity is poorly understood and managed, project failure become the norm. However, there are limited number of studies which investigated best practices which could overcome the undesired outcomes of complexity challenges. This research focused on identifying strategies to manage complexity in order to increase the likelihood of project success. Initially, this paper reviewed different project complexity definitions and suggested a single definition. Furthermore, the differences between complexity, uncertainty and risk were explained. Moreover, complexity management strategies were collected and enhanced. For this purpose, two rounds of qualitative Delphi method were applied to identify and improve complexity management best practices. In the first round, Subject Matter Experts were asked to individually provide top complexity management strategies. In the second round of this study, the twelve experts were participated in a complexity management workshop to advance the identified strategies.
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U2 - 10.1016/j.proeng.2016.04.050
DO - 10.1016/j.proeng.2016.04.050
M3 - Conference article
AN - SCOPUS:84999837431
SN - 1877-7058
VL - 145
SP - 603
EP - 610
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 -