Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/82211
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dc.contributorDepartment of Building and Real Estate-
dc.creatorOwusu, EK-
dc.creatorChan, APC-
dc.creatorHosseini, MR-
dc.creatorNikmehr, B-
dc.date.accessioned2020-05-05T05:59:07Z-
dc.date.available2020-05-05T05:59:07Z-
dc.identifier.issn1392-3730-
dc.identifier.urihttp://hdl.handle.net/10397/82211-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rightsCopyright (c) 2020 The Author(s).en_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rightsThe following publication Owusu, E. , K., Chan, A. , P. , C., Hosseini, M. , R., & Nikmehr, B. (2020). Assessing procurement irregularities in the supply-chain of Ghanaian construction projects: a soft-computing approach. Journal of Civil Engineering and Management, 26(1), 66-82 is available at https://dx.doi.org/10.3846/jcem.2020.11659en_US
dc.subjectProcurementen_US
dc.subjectIrregularitiesen_US
dc.subjectBuildingen_US
dc.subjectCivil engineeringen_US
dc.subjectProjectsen_US
dc.subjectCorruptionen_US
dc.subjectSoft computingen_US
dc.titleAssessing procurement irregularities in the supply-chain of Ghanaian construction projects : a soft-computing approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage66-
dc.identifier.epage82-
dc.identifier.volume26-
dc.identifier.issue1-
dc.identifier.doi10.3846/jcem.2020.11659-
dcterms.abstractThis study examines procurement irregularities, as one of the most unexplored threats in the procurement process of construction projects. It also tests the suppositions associated with the contributions of irregularities to corruption in construction procurement. An expert survey is conducted with 62 construction-related practitioners selected via non-probabilistic sampling in the context of a Ghana, to assess the criticalities of the irregularities. Eighteen irregularities were identified within the context selected for this study. A soft computing technique known as the Fuzzy Synthetic Evaluation (FSE) method is employed to examine the identified irregularities. Other relevant techniques including factor analyses, normalization, and descriptive tools are employed to factorize the identified irregularities and test the hypotheses. Out of the 18 irregularities, 11 were revealed to be critical. The findings reveal that the top three irregularities were: payments for uncompleted works, sourcing of proforma invoices from the same supplier and the lack of proper coordination among key departments. Moreover, four constructs were developed using the identified measurement items. They are administrative-specific, procedural, compliance and contract monitoring irregularities. Out of the four, the topmost critical construct turns out to be compliance irregularities. Theoretically, this study advances the scholarship of construction by shedding lights on the irregularities associated with the procurement processes of construction projects. It also contributes to an in-depth understanding of the noted irregularities. In practical terms, this study contributes to the procurement planning and policy-making process, it assists decision makers in putting in place measures to prevent or extirpate the likelihood of any of the irregularities' occurrences.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of civil engineering and management, 2020, v. 26, no. 1, p. 66-82-
dcterms.isPartOfJournal of civil engineering and management-
dcterms.issued2020-
dc.identifier.isiWOS:000513885400006-
dc.identifier.scopus2-s2.0-85078459845-
dc.identifier.eissn1822-3605-
dc.description.validate202006 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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