Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103431
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dc.contributorDepartment of Building and Real Estate-
dc.creatorShan, Men_US
dc.creatorLe, Yen_US
dc.creatorYiu, KTWen_US
dc.creatorChan, APCen_US
dc.creatorHu, Yen_US
dc.date.accessioned2023-12-11T00:33:52Z-
dc.date.available2023-12-11T00:33:52Z-
dc.identifier.issn1353-3452en_US
dc.identifier.urihttp://hdl.handle.net/10397/103431-
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.rights© Springer Science+Business Media Dordrecht 2016en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11948-016-9865-zen_US
dc.subjectCase studyen_US
dc.subjectPublic construction sectoren_US
dc.subjectQuestionnaire surveyen_US
dc.subjectUnderlying factor of corruptionen_US
dc.titleInvestigating the underlying factors of corruption in the public construction sector : evidence from Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1643en_US
dc.identifier.epage1666en_US
dc.identifier.volume23en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1007/s11948-016-9865-zen_US
dcterms.abstractOver recent years, the issue of corruption in the public construction sector has attracted increasing attention from both practitioners and researchers worldwide. However, limited efforts are available for investigating the underlying factors of corruption in this sector. Thus, this study attempted to bridge this knowledge gap by exploring the underlying factors of corruption in the public construction sector of China. To achieve this goal, a total of 14 structured interviews were first carried out, and a questionnaire survey was then administered to 188 professionals in China. Two iterations of multivariate analysis approaches, namely, stepwise multiple regression analysis and partial least squares structural equation modeling were successively utilized to analyze the collected data. In addition, a case study was also conducted to triangulate the findings obtained from the statistical analysis. The results generated from these three research methods achieve the same conclusion: the most influential underlying factor leading to corruption was immorality, followed by opacity, unfairness, procedural violation, and contractual violation. This study has contributed to the body of knowledge by exploring the properties of corruption in the public construction sector. The findings from this study are also valuable to the construction authorities as they can assist in developing more effective anti-corruption strategies.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScience and engineering ethics, Dec. 2017, v. 23, no. 6, p. 1643-1666en_US
dcterms.isPartOfScience and engineering ethicsen_US
dcterms.issued2017-12-
dc.identifier.scopus2-s2.0-85007470671-
dc.identifier.pmid28039612-
dc.identifier.eissn1471-5546en_US
dc.description.validate202312 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0872-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Tongji University Ph.D. Short-term Abroad Academic Visiting Scholarshipen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6709835-
dc.description.oaCategoryGreen (AAM)en_US
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