Journal
ICSDEC 2016 - INTEGRATING DATA SCIENCE, CONSTRUCTION AND SUSTAINABILITY
Volume 145, Issue -, Pages 476-482Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2016.04.024
Keywords
Project Complexity; Complexity Attribute; Complexity Indicator; Project Management
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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. (C) 2015 The Authors. Published by Elsevier Ltd.
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