Identifying and Measuring Project Complexity
| Autor: | Sharareh Kermanshachi, Jennifer S. Shane, Eric Hare, Bac Dao, Stuart D. Anderson |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Measure (data warehouse) Process management Knowledge management Computer science business.industry 0211 other engineering and technologies 02 engineering and technology General Medicine Constructive Field (computer science) Test (assessment) 020901 industrial engineering & automation 021105 building & construction Complexity management Project management Project portfolio management business Engineering(all) Project management triangle |
| Zdroj: | Procedia Engineering. 145:476-482 |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2016.04.024 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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