Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94138
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estateen_US
dc.creatorOwusu, EKen_US
dc.creatorChan, APCen_US
dc.creatorDarko, Aen_US
dc.date.accessioned2022-08-11T01:07:21Z-
dc.date.available2022-08-11T01:07:21Z-
dc.identifier.issn1076-0342en_US
dc.identifier.urihttp://hdl.handle.net/10397/94138-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rights© 2021 American Society of Civil Engineers.en_US
dc.rightsThis material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000611.en_US
dc.subjectCorruptionen_US
dc.subjectFuzzy synthetic evaluation (FSE)en_US
dc.subjectHong Kongen_US
dc.subjectInfrastructure projectsen_US
dc.subjectProject managementen_US
dc.subjectSusceptibility index (SI)en_US
dc.titleEvaluating the corruption susceptibility index of infrastructure procurement and management in the developed context: the case of Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume27en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1061/(ASCE)IS.1943-555X.0000611en_US
dcterms.abstractThis study evaluates the susceptibility patterns of the procurement process of infrastructure projects to corruption in Hong Kong. An expert survey is conducted with infrastructure-related professionals from Hong Kong (HK) using nonprobabilistic sampling approaches. A total of 38 responses comprising both closed-ended and open-ended responses were retrieved and analyzed. This study employs a soft computing technique coupled with other descriptive tools to evaluate the susceptibility patterns. Whereas the contract stage of the process was revealed to be the highest-ranked susceptible stage of the procurement process, the model indicated that the procurement process in HK is relatively less prone to corrupt practices. Although there are notable studies on the subject matter, this study arguably is one of the first to examine the susceptibility patterns of the stages within the infrastructure procurement process to corruption in the specific context of a developed region. It contributes to the existing knowledge of corruption in infrastructure project procurement by revealing the respective stages of the procurement process that require more in-depth investigations and more stringent efforts not only to extirpate the vulnerabilities but also to develop measures that will safeguard the procurement process and related activities from corruption. The approach adopted in this study can guide the assessment of similar corruption-related constructs in other contexts or regions.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of infrastructure systems, June 2021, v. 27, no. 2, 05021006en_US
dcterms.isPartOfJournal of infrastructure systemsen_US
dcterms.issued2021-06-
dc.identifier.scopus2-s2.0-85103376984-
dc.identifier.eissn1943-555Xen_US
dc.identifier.artn05021006en_US
dc.description.validate202208 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1610, BRE-0073-
dc.identifier.SubFormID45611-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextOthers: Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS47843638-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Owusu_Infrastructure_Developed_Context.pdfPre-Published version1.07 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

82
Last Week
1
Last month
Citations as of May 12, 2024

Downloads

83
Citations as of May 12, 2024

SCOPUSTM   
Citations

10
Citations as of May 17, 2024

WEB OF SCIENCETM
Citations

9
Citations as of Feb 29, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.