Literature DB >> 30725393

Distinguishing Characteristics of Corruption Risks in Iranian Construction Projects: A Weighted Correlation Network Analysis.

M Reza Hosseini1, Igor Martek2, Saeed Banihashemi3, Albert P C Chan4, Amos Darko4, Mahdi Tahmasebi5.   

Abstract

The construction industry consistently ranks amongst the highest contributors to global gross domestic product, as well as, amongst the most corrupt. Corruption therefore inflicts significant risk on construction activities, and overall economic development. These facts are widely known, but the various sources and nature of corruption risks endemic to the Iranian construction industry, along with the degree to which such risks manifest, and the strength of their impact, remain undescribed. To address the gap, a mixed methods approach is used; with a questionnaire, 103 responses were received, and these were followed up with semi-structured interviews. Results were processed using social network analysis. Four major corruption risks were identified: (1) procedural violations in awarding contracts, (2) misuse of contractual arrangements, (3) neglect of project management principles, and, (4) irrational decision making. While corruption risks in Iran align with those found in other countries, with funds being misappropriated for financial gain, Iran also shows a strong inclination to champion projects that serve the government's political agenda. Root cause identification of corruption risks, namely, the noticeable impact of authoritarianism on project selection in Iran, over criterion of economic benefit or social good, is a significant outcome of this study.

Keywords:  Construction projects; Corrupt practice; Corruption; Risk management; Social network analysis; Unethical practice

Year:  2019        PMID: 30725393     DOI: 10.1007/s11948-019-00089-0

Source DB:  PubMed          Journal:  Sci Eng Ethics        ISSN: 1353-3452            Impact factor:   3.525


  8 in total

1.  Corruption and internal fraud in the Turkish construction industry.

Authors:  Murat Gunduz; Oytun Önder
Journal:  Sci Eng Ethics       Date:  2012-02-28       Impact factor: 3.525

2.  Corruption kills.

Authors:  Nicholas Ambraseys; Roger Bilham
Journal:  Nature       Date:  2011-01-13       Impact factor: 49.962

3.  A Framework to Move Forward on the Path to Eco-innovation in the Construction Industry: Implications to Improve Firms' Sustainable Orientation.

Authors:  María-del-Val Segarra-Oña; Angel Peiró-Signes; Roberto Cervelló-Royo
Journal:  Sci Eng Ethics       Date:  2014-12-17       Impact factor: 3.525

4.  An Ethical (Descriptive) Framework for Judgment of Actions and Decisions in the Construction Industry and Engineering-Part I.

Authors:  Omar J Alkhatib; Alaa Abdou
Journal:  Sci Eng Ethics       Date:  2017-03-20       Impact factor: 3.525

5.  Investigating the Underlying Factors of Corruption in the Public Construction Sector: Evidence from China.

Authors:  Ming Shan; Yun Le; Kenneth T W Yiu; Albert P C Chan; Yi Hu
Journal:  Sci Eng Ethics       Date:  2016-12-30       Impact factor: 3.525

6.  Causal Factors of Corruption in Construction Project Management: An Overview.

Authors:  Emmanuel Kingsford Owusu; Albert P C Chan; Ming Shan
Journal:  Sci Eng Ethics       Date:  2017-11-11       Impact factor: 3.525

7.  Demographic Variables of Corruption in the Chinese Construction Industry: Association Rule Analysis of Conviction Records.

Authors:  Yao Yu; Igor Martek; M Reza Hosseini; Chuan Chen
Journal:  Sci Eng Ethics       Date:  2018-05-02       Impact factor: 3.525

Review 8.  Enabling Ethical Code Embeddedness in Construction Organizations: A Review of Process Assessment Approach.

Authors:  Olugbenga Timo Oladinrin; Christabel Man-Fong Ho
Journal:  Sci Eng Ethics       Date:  2015-07-05       Impact factor: 3.525

  8 in total
  1 in total

1.  Characterization of Group Behavior of Corruption in Construction Projects Based on Contagion Mechanism.

Authors:  Jingjing Li; Qiangqiang Shen; Wencan Gao
Journal:  Comput Intell Neurosci       Date:  2022-03-19
  1 in total

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