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Abstract
Construction projects are actualized through the involvement of multidisciplinary stakeholders from various cultural and ethnic groups or nationalities who have different levels of exposure to civilization, languages, and world views. Their cultural diversity makes the evaluation of corruption a daunting task and subsequently can adversely affect the team decision-making process, disrupt collaboration among stakeholders, reduce project quality, and hinder outcomes of construction projects. The constant occurrence of building collapse, in which about 83% are linked to corruption, cost overrun, time overrun, and risk to lives in construction projects, often point at corrupt behaviors among construction stakeholders during decision-making, which remain unabated. Construction team members with a corrupt mindset may jeopardize the required standards, specifications, manipulate construction bid, inflate construction cost, distort information, and thorough supervision of projects. In fact, discouragement of foreign investors in the construction industry, which often affects the reputation of the industry, can further exacerbate if not curbed. Past studies mainly focused on forms of corruption in the construction industry, while understanding the factors that triggers them can lead to the practical recommendations for minimizing corruption. Therefore, this study used focus groups to explore corruption factors and the ways they inhibit team decision-making on construction projects in Africa. Hence, five focus groups of a total of 30 construction professionals were conducted virtually with consultants, contractors, government officials, developers, and clients in the Nigerian construction industry. The discourses in the focus groups were summarized and analyzed using contextual analysis. The participants identified 15 corruption factors that affected the team decision-making processes on construction projects, and those corruption influences were classified into four main types: (1) individual people's values (e.g., unity, tolerance, harmony, superiority, etc.); (2) project factors (project complexity and project secrecy); (3) organizational variables (organization-government alliances and unethical professionalism); and (4) societal factors (social pressures, social norms, and social ties). The study's findings build an understanding of the critically important corrupt actions that negatively influence construction projects. Even more importantly, the findings can be used to design public enlightenment campaigns against corruption and in favor of project monitoring. Practical recommendations are given, such as positive applications of human values, with utmost sincerity, to achieve the expected goals of team decision-making. The deliberate involvement of female construction professionals in project teams is also advised. In summary, the corruption factors that we investigated in this study form a basis for a future larger-scale study; meanwhile, the approach we employed is suitable for drawing necessary inferences. © 2024 American Society of Civil Engineers.
| Original language | English |
|---|---|
| Article number | 04024045 |
| Journal | Journal of Management in Engineering |
| Volume | 40 |
| Issue number | 5 |
| Online published | 10 Jul 2024 |
| DOIs | |
| Publication status | Published - 1 Sept 2024 |
Funding
The work presented in this paper was fully supported by a grant from the City University of Hong Kong (Project No. CityU, 11214523).
Research Keywords
- Africa
- Construction projects
- Corruption
- Team decision-making
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This 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://doi.org/10.1061/JMENEA.MEENG-5873.
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GRF: Improving the Performance of Ethnic Minority Construction Workers through Proactive Organizational Stress Management
LEUNG, M.-Y. (Principal Investigator / Project Coordinator), COOPER, C. (Co-Investigator) & Olomolaiye, P. (Co-Investigator)
1/01/24 → …
Project: Research