dc.contributor.author | Sarvari, Hadi | |
dc.contributor.author | Chan, Daniel W. M. | |
dc.contributor.author | Ashrafi, Behrouz | |
dc.contributor.author | Olawumi, Timothy O. | |
dc.contributor.author | Banaitienė, Nerija | |
dc.date.accessioned | 2023-09-18T16:11:20Z | |
dc.date.available | 2023-09-18T16:11:20Z | |
dc.date.issued | 2021 | |
dc.identifier.other | (SCOPUS_ID)85119982067 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/112211 | |
dc.description.abstract | This study uses the fuzzy analytical hierarchy process (FAHP) method to prioritize contracting methods to determine the most suitable contract option for water and wastewater projects (WWP). Content analysis, a two-round Delphi survey technique, and a series of validation and reliability tests helped establish the 18 key criteria for FAHP analysis. Consequently, data collected from experts through a pairwise comparison questionnaire form the basis for the inputs for the FAHP analysis. Consequently, the final weightings were derived for each of the key criteria and available contracting methods. The results indicate that the bilateral, cooperative, and trilateral contracting methods are the most suitable for WWP in Iran, with the highest weighting. The study provides useful guidance for the top management of project firms in selecting the optimal contracting method for their projects and offers significant contributions from theoretical and practical perspectives. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-18 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.source.uri | https://doi.org/10.3390/en14227815 | |
dc.title | Prioritization of contracting methods for water and wastewater projects using the fuzzy analytic hierarchy process method | |
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 | 67 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Islamic Azad University | |
dc.contributor.institution | The Hong Kong Polytechnic University | |
dc.contributor.institution | Edinburgh Napier University | |
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.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
dc.subject.ltspecializations | L102 - Energetika ir tvari aplinka / Energy and a sustainable environment | |
dc.subject.en | fuzzy analytic hierarchy process | |
dc.subject.en | construction contract | |
dc.subject.en | water | |
dc.subject.en | wastewater | |
dc.subject.en | Iran | |
dcterms.sourcetitle | Energies: Special Issue Construction Project Management 2021 | |
dc.description.issue | iss. 22 | |
dc.description.volume | vol. 14 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 2-s2.0-85119982067 | |
dc.identifier.doi | 85119982067 | |
dc.identifier.doi | 1 | |
dc.identifier.doi | 132359468 | |
dc.identifier.doi | 000727817400001 | |
dc.identifier.doi | 10.3390/en14227815 | |
dc.identifier.elaba | 113169271 | |