Abstract
Numerous studies have investigated factors causing delays in projects of different types. However, there is a lack of studies investigating this issue in the context of public research and development (R&D) projects. To fill this gap, this study utilized an approach that integrates interpretive structural modelling (ISM) and fuzzy cross-impact matrix multiplication (MICMAC) analysis to model and analyze factors causing delay in public R&D projects in the context of the United Arab Emirates (UAE). In addition to modeling 17 identified interrelated delay factors by a simple hierarchical graphical model, hidden work activities, low experience/qualification project manager, new technology development, scope underestimation, poor cost estimation, technological complexity, and change orders have been identified as the key factors causing delays in public R&D projects. The findings of this study could be of value to project managers in public organizations that are carrying out R&D projects in the UAE and other nations with similar environments, such as the Gulf Cooperation Council countries.
Original language | English |
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Title of host publication | Proceedings of the 5th North American International Conference on Industrial Engineering and Operations Management |
Place of Publication | Southfield, MI |
Pages | 2896-2905 |
Number of pages | 10 |
ISBN (Electronic) | 9780985549787 |
Publication status | Published - 9 Aug 2020 |
Event | 5th North American International Conference on Industrial Engineering and Operations Management, IOEM 2020 - Virtual, United States Duration: 10 Aug 2020 → 14 Aug 2020 |
Conference
Conference | 5th North American International Conference on Industrial Engineering and Operations Management, IOEM 2020 |
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Country/Territory | United States |
City | Virtual |
Period | 10/08/20 → 14/08/20 |
Keywords
- interpretive structural modeling and Fuzzy MICMAC
- interrelated activities
- project delay
- R&D