Distinguishing characteristics of corruption risks in Iranian construction projects: a weighted correlation network analysis Hosseini, Mohammad Reza, Martek, Igor, Banihashemi, Saeed, Chan, Albert PC, Darko, Amos and Tahmasebi, Mahdi 2019, Distinguishing characteristics of corruption risks in Iranian construction projects: a weighted correlation network analysis, Science and engineering ethics, pp. 1-27, doi: 10.1007/s11948-019-00089-0. Attached Files Name Description MIMEType Size Downloads Title Distinguishing characteristics of corruption risks in Iranian construction projects: a weighted correlation network analysis Author(s) Hosseini, Mohammad Reza orcid.org/0000-0001-8675-736X Martek, Igor orcid.org/0000-0001-6573-1291 Banihashemi, Saeed Chan, Albert PC Darko, Amos Tahmasebi, Mahdi Journal name Science and engineering ethics Start page 1 End page 27 Total pages 27 Publisher Springer Place of publication Dordrecht, The Netherlands Publication date 2019-02-06 ISSN 1471-5546 Keyword(s) Construction projects Corrupt practice Corruption Risk management Social network analysis Unethical practice Notes In press Language eng DOI 10.1007/s11948-019-00089-0 Field of Research 2201 Applied Ethics HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2019, Springer Nature B.V. Persistent URL http://hdl.handle.net/10536/DRO/DU:30118153 Document type: Journal Article Collection: School of Architecture and Built Environment Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 13 Feb 2019, 12:31:19 EST Thu, 14 Feb 2019, 04:01:33 EST Thu, 14 Feb 2019, 07:09:05 EST Sat, 23 Feb 2019, 01:33:38 EST Fri, 29 Mar 2019, 10:57:54 EST Mon, 08 Apr 2019, 10:35:26 EST Mon, 08 Apr 2019, 10:37:37 EST Mon, 08 Apr 2019, 10:38:26 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 6 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 13 Feb 2019, 12:31:19 EST

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