Identifying and Measuring Project Complexity

Bac Dao, Sharareh Kermanshachi, Jennifer Shane, Stuart Anderson, Eric Hare

Research output: Contribution to journalConference articlepeer-review

41 Scopus citations

Abstract

This study provides a constructive approach to identify and assess project complexity as a separate factor influencing projects. Project complexity was described in terms of managing projects rather than project physical features to ensure the research results can be generalized across different industries. The complexity attributes and indicators deemed to measure those associated attributes were developed. The data collected through a survey was analyzed using statistical methods to test the significance of complexity indicators in differentiating low complexity projects from high complexity projects. The data analysis resulted in 37 complexity indicators associated with 23 attributes statistically significant to project complexity. The research findings help scholars and practitioners in the project management field in developing an appropriate strategy to manage project complexity effectively.

Original languageEnglish (US)
Pages (from-to)476-482
Number of pages7
JournalProcedia Engineering
Volume145
DOIs
StatePublished - 2016
EventInternational Conference on Sustainable Design, Engineering and Construction, ICSDEC 2016 - Tempe, United States
Duration: May 18 2016May 20 2016

All Science Journal Classification (ASJC) codes

  • General Engineering

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