@inproceedings{b055d293f5634a7c8b26350e2fb75145,
title = "A decision-support system for identifying the best contractual delivery methods of mega infrastructure developments",
abstract = "This article describes the Decision Support System (DSS) software for identifying the best contractual delivery methods for megaprojects, based on the elements of risks, opportunities of investments and project constraints. A fuzzy-based multi-criterion decision-making technique is used to develop the DSS, to assist the client in the selection of the appropriate contractual delivery method. The system accounts for the relative importance of the various stakeholders in the different project stages. The system enables the client to depict his/her best choices (regarding project delivery methods and stakeholder entities) that would likely provide the best environs for the project to succeed. With such complicated system, the client can also investigate the specifics of the various project stages and study the effects of enhancements or deficiencies of the stakeholder entities capabilities. The system was developed and calibrated based on the results obtained from extensive surveys among key stakeholders in the UAE.",
keywords = "Decision Support System, Delivery Methods, Fuzzy Logic Model, Megaprojects",
author = "{Al Nahyan}, {Moza T.} and Hawas, {Yaser E.} and Mohammad, {Mohammad S.} and Basil Basheerudeen",
note = "Funding Information: The authors would like to acknowledge the research project funds (Grants # 31R064 and 21R018) by the UAE University and the UAE Ministry of Higher Education and Scientific Research. Publisher Copyright: Copyright {\textcopyright} 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 20th International Conference on Enterprise Information Systems, ICEIS 2018 ; Conference date: 21-03-2018 Through 24-03-2018",
year = "2018",
doi = "10.5220/0006694704070414",
language = "English",
series = "ICEIS 2018 - Proceedings of the 20th International Conference on Enterprise Information Systems",
publisher = "SciTePress",
pages = "407--414",
editor = "Slimane Hammoudi and Michal Smialek and Olivier Camp and Joaquim Filipe and Joaquim Filipe",
booktitle = "ICEIS 2018 - Proceedings of the 20th International Conference on Enterprise Information Systems",
}