The Successful Delivery of Megaprojects: A Novel Research Method
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Приказ свих података о документуАпстракт
Megaprojects are often associated with poor delivery performance and poor benefits realization. This article provides a method of identifying, in a quantitative and rigorous manner, the characteristics related to project management success in megaprojects. It provides an investigation of how stakeholders can use this knowledge to ensure more effective design and delivery for megaprojects. The research is grounded in 44 megaprojects and a systematic, empirically based methodology that employs the Fisher's exact test and machine learning techniques to identify the correlation between megaprojects' characteristics and performance, paving the way to an understanding of their causation.
Кључне речи:
megaprojects / case studies / statistical analysis / budget / scheduleИзвор:
Project Management Journal, 2017, 48, 5, 78-Издавач:
- SAGE Publications Inc.
Финансирање / пројекти:
- EU
- MEGAPROJECT: The Effective Design and Delivery of Megaprojects in the European Union TU1003
- European Science Foundation
- COST-European Cooperation in Science and Technology
DOI: 10.1177/875697281704800506
ISSN: 8756-9728
WoS: 000423470600006
Scopus: 2-s2.0-85052528067
Колекције
Институција/група
GraFarTY - JOUR AU - Locatelli, Giorgio AU - Mikić, Miljan AU - Kovačević, Miloš AU - Brookes, Naomi AU - Ivanišević, Nenad PY - 2017 UR - https://grafar.grf.bg.ac.rs/handle/123456789/1844 AB - Megaprojects are often associated with poor delivery performance and poor benefits realization. This article provides a method of identifying, in a quantitative and rigorous manner, the characteristics related to project management success in megaprojects. It provides an investigation of how stakeholders can use this knowledge to ensure more effective design and delivery for megaprojects. The research is grounded in 44 megaprojects and a systematic, empirically based methodology that employs the Fisher's exact test and machine learning techniques to identify the correlation between megaprojects' characteristics and performance, paving the way to an understanding of their causation. PB - SAGE Publications Inc. T2 - Project Management Journal T1 - The Successful Delivery of Megaprojects: A Novel Research Method IS - 5 SP - 78 VL - 48 DO - 10.1177/875697281704800506 ER -
@article{ author = "Locatelli, Giorgio and Mikić, Miljan and Kovačević, Miloš and Brookes, Naomi and Ivanišević, Nenad", year = "2017", abstract = "Megaprojects are often associated with poor delivery performance and poor benefits realization. This article provides a method of identifying, in a quantitative and rigorous manner, the characteristics related to project management success in megaprojects. It provides an investigation of how stakeholders can use this knowledge to ensure more effective design and delivery for megaprojects. The research is grounded in 44 megaprojects and a systematic, empirically based methodology that employs the Fisher's exact test and machine learning techniques to identify the correlation between megaprojects' characteristics and performance, paving the way to an understanding of their causation.", publisher = "SAGE Publications Inc.", journal = "Project Management Journal", title = "The Successful Delivery of Megaprojects: A Novel Research Method", number = "5", pages = "78", volume = "48", doi = "10.1177/875697281704800506" }
Locatelli, G., Mikić, M., Kovačević, M., Brookes, N.,& Ivanišević, N.. (2017). The Successful Delivery of Megaprojects: A Novel Research Method. in Project Management Journal SAGE Publications Inc.., 48(5), 78. https://doi.org/10.1177/875697281704800506
Locatelli G, Mikić M, Kovačević M, Brookes N, Ivanišević N. The Successful Delivery of Megaprojects: A Novel Research Method. in Project Management Journal. 2017;48(5):78. doi:10.1177/875697281704800506 .
Locatelli, Giorgio, Mikić, Miljan, Kovačević, Miloš, Brookes, Naomi, Ivanišević, Nenad, "The Successful Delivery of Megaprojects: A Novel Research Method" in Project Management Journal, 48, no. 5 (2017):78, https://doi.org/10.1177/875697281704800506 . .