dc.contributor.author | Bidel, Mohammad Javad | |
dc.contributor.author | Safari, Hossein | |
dc.contributor.author | Amoozad Mahdiraji, Hannan | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Antuchevičienė, Jurgita | |
dc.date.accessioned | 2023-09-18T16:24:59Z | |
dc.date.available | 2023-09-18T16:24:59Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113576 | |
dc.description.abstract | One of the essential factors of project success is selecting the proper delivery method. This study aimed to provide a new hybrid decision-making framework to assist project stakeholders in evaluating and selecting the most appropriate Project Delivery System (PDS) and documenting the decision process. For this purpose, the selection factors of PDSs were obtained from a literature review, and critical selection factors were screened based on the fuzzy Delphi method, whereby expert feedback was on Information and Communication Technology (ICT) projects was obtained. Subsequently, the ICT project risks were identified and categorized into six competitive constraints, including time, cost, quality, reputation, value, and scope, and the risk factors were prioritized in each area. Then, the effect of project risks on the decision criteria was investigated using a fuzzy cognitive map (FCM). Finally, the PDSs were ranked through Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). This article researched a novel multi-layer decision system combining the FCM and FTOPSIS techniques. The decision criteria received their weights from the evaluation of the causal relationships between PDS selection factors and project risks. Thus, PDSs were ranked based on different project characteristics, the opinions of stakeholders, and the effect of project risks on the decision-making process; this increased the likelihood of project success. The results showed that the impact of the most critical project risks on the selection factors was so severe that they changed the weight of the criteria in the decision matrix and, subsequently, changed the ranking of decision options. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-22 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | RePec | |
dc.relation.isreferencedby | Scopus | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://www.mdpi.com/2227-7390/10/17/3185 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:139512212/datastreams/MAIN/content | |
dc.title | A framework for project delivery systems via hybrid fuzzy risk analysis: Application and extension in ICT | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 75 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | University of Tehran | |
dc.contributor.institution | University of Leicester | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.vgtuprioritizedfields | FM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | Project Delivery Systems (PDSs) | |
dc.subject.en | risk analysis | |
dc.subject.en | fuzzy cognitive maps (FCMs) | |
dc.subject.en | ICT projects | |
dc.subject.en | FCM-FTOPSIS | |
dcterms.sourcetitle | Mathematics: Special issue: Data driven decision-making under uncertainty (D3U) | |
dc.description.issue | iss. 17 | |
dc.description.volume | vol. 10 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 000851837900001 | |
dc.identifier.doi | 10.3390/math10173185 | |
dc.identifier.elaba | 139512212 | |