Project Complexity Indicators and Management Strategies - A Delphi Study

Sharareh Kermanshachi; Bac Dao; Jennifer Shane; Stuart Anderson

doi:10.1016/j.proeng.2016.04.048

Project Complexity Indicators and Management Strategies - A Delphi Study

Sharareh Kermanshachi
, Bac Dao
, Jennifer Shane
, Stuart Anderson

Research output: Contribution to journal › Conference article › peer-review

56 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	587-594
Number of pages	8
Journal	Procedia Engineering
Volume	145
DOIs	https://doi.org/10.1016/j.proeng.2016.04.048
State	Published - 2016
Event	International Conference on Sustainable Design, Engineering and Construction, ICSDEC 2016 - Tempe, United States Duration: May 18 2016 → May 20 2016

All Science Journal Classification (ASJC) codes

General Engineering

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10.1016/j.proeng.2016.04.048

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@article{142ff4e2d6e44beab25019306cad398d,

title = "Project Complexity Indicators and Management Strategies - A Delphi Study",

abstract = "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.",

author = "Sharareh Kermanshachi and Bac Dao and Jennifer Shane and Stuart Anderson",

note = "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.; International Conference on Sustainable Design, Engineering and Construction, ICSDEC 2016 ; Conference date: 18-05-2016 Through 20-05-2016",

year = "2016",

doi = "10.1016/j.proeng.2016.04.048",

language = "English (US)",

volume = "145",

pages = "587--594",

journal = "Procedia Engineering",

issn = "1877-7058",

publisher = "Elsevier Limited",

}

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.

UR - https://www.scopus.com/pages/publications/84999780419

UR - https://www.scopus.com/pages/publications/84999780419#tab=citedBy

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 -

Project Complexity Indicators and Management Strategies - A Delphi Study

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All Science Journal Classification (ASJC) codes

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