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Akin, F D, Damci, A and Arditi, D (2024) Optimum finance-based scheduling. Journal of Construction Engineering and Management, 150(09).
Assaad, R H, Omran, A, Soliman, N and Assaf, G (2024) Prediction of the lateral pressure of self-consolidating concrete on construction formwork systems using machine-learning algorithms. Journal of Construction Engineering and Management, 150(09).
Assaf, G and Assaad, R H (2024) Analyzing the critical success factors affecting project bundling performance of infrastructure projects. Journal of Construction Engineering and Management, 150(09).
Chammout, B, El-Adaway, I H, Abdul Nabi, M and Assaad, R H (2024) Price escalation in construction projects: Examining national and international contracts. Journal of Construction Engineering and Management, 150(09).
Dorignon, L, Oswald, D, Kempton, L, Boehme, T, Iyer-Raniga, U, Moore, T and Dalton, T (2024) Investigating residential building materials in a circular economy: An Australian perspective. Journal of Construction Engineering and Management, 150(09).
Görsch, C, Seppänen, O, Peltokorpi, A and Lavikka, R (2024) Unlocking productivity: Revealing waste and hidden disturbances impacting mep workers. Journal of Construction Engineering and Management, 150(09).
Gao, M Y, Han, J, Yang, Y, Tiong, R L K, Zhao, C and Han, C (2024) BIM-based and IoT-driven smart tracking for precast construction dynamic scheduling. Journal of Construction Engineering and Management, 150(09).
Jiang, Y, Yang, G, Li, H, Zhang, T and Khudhair, A (2024) Physics-informed knowledge-driven decision-making framework for holistic bridge maintenance. Journal of Construction Engineering and Management, 150(09).
Koo, H J, Kelly, D and Deman, D (2024) Risk assessment of the challenges in the adaptive reuse of historic buildings. Journal of Construction Engineering and Management, 150(09).
Namian, M, Nabil, F R, Al-Mhdawi, M K S, Kermanshachi, S S and Nnaji, C (2024) Postpandemic era: Investigating the impact of COVID-19 on construction workers' situational awareness. Journal of Construction Engineering and Management, 150(09).
Ning, X, Yang, Y, Liu, C and Han, Y (2024) Construction workers' unsafe behavior contagion under government-contractor dual influence. Journal of Construction Engineering and Management, 150(09).
Olugboyega, O (2024) Diverse forms of greed and self-interest that contribute to corruption among construction stakeholders. Journal of Construction Engineering and Management, 150(09).
- Type: Journal Article
- Keywords: corruption in construction sector; corruption in Nigeria; corruption types and dynamics; greed and self-interest
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14671
- Abstract:
The factors contributing to corruption within the construction sector have yet to be associated with the phenomenon of greed - the pursuit of self-interest and a widely recognized and extensively studied primary catalyst for corrupt practices. The mechanisms by which self-centeredness culminates in corruption within the construction industry, the prevalence of greed among the various stakeholders involved in the construction industry, and the potential impact of greed and its diverse manifestations on corruption within the construction industry remain elusive. Thus, this study analyses the diverse impacts of different manifestations of greed and self-interest on the various forms of corruption observed among construction stakeholders. The individuals involved in this study are contractors who are actively involved in the execution of building and construction projects within the geographical boundaries of Nigeria. A factor structure validity, construct validity, convergent validity, and hypothesis test using structural equation modeling were performed on the items assessed in the questionnaire. A statistically significant positive correlation was found between greed and self-interest in five specific pathways. The study found that the manifestations of corruption among contractors are subject to varying degrees of strength, contingent upon the influence of greed and self-interest. It was evident in the findings that the coexistence of biological, psychological, and social disorders contributes to an increased susceptibility to partake in corruption. The study contributes to knowledge by revealing that corruption is a sequential phenomenon initiated by greed, intensified by insatiable desires, and ultimately manifested through self-interested associations. These associations create an intricate web of influences and a complex network that enable corrupt practices within the construction industry. Practical Applications Practical applications of this study's findings are in terms of understanding the multifaceted nature of corruption and designing effective interventions aimed at addressing greed and self-interest-related issues within the construction sector. The study enables an understanding of the drivers behind insatiable needs by explaining that the types and severity of corruption are inherent in the different levels of greed and the different ways in which self-interest drives individuals to engage in corrupt activities. The study's practical application in developing corruption interventions or prevention strategies is the need to promote transparency, accountability, and integrity in both the public and private sectors by exploring the relationship between socioeconomic disparities, cultural norms, political systems, international cooperation, technology, and economic consequences. The interventions should focus on education, raising awareness about the negative consequences of greed, and promoting empathy and altruism as a means to counter excessive self-interest, and laying emphasis on the benefits of cooperation and collaboration.
Ouyang, Y and Luo, X (2024) Effects of physical fatigue on construction workers' visual search patterns during hazard identification. Journal of Construction Engineering and Management, 150(09).
Paneru, S, Suh, S, Seo, W and Rausch, C (2024) Evaluating the decarbonization potential of industrialized construction: A review of the current state, opportunities, and challenges. Journal of Construction Engineering and Management, 150(09).
Sadoughi, A, Kouhirostami, M, Kouhirostamkolaei, M, Qi, B and Costin, A (2024) Autonomous building design for manufacturing and assembly: A systematic review of design application, challenges, and opportunities. Journal of Construction Engineering and Management, 150(09).
Shahedi, F, Etemadfard, H, Omrani, F and Ghalehnovi, M (2024) Cost performance modeling for steel fabrication shops with machine learning algorithms. Journal of Construction Engineering and Management, 150(09).
Shuang, Q, Liu, X, Wang, Z and Xu, X (2024) Automatically categorizing construction accident narratives using the deep-learning model with a class-imbalance treatment technique. Journal of Construction Engineering and Management, 150(09).
Wang, R D, Zayed, T, Eltoukhy, A E E and Wu, H (2024) Integrated planning approach for optimizing tower crane and truck locations in modular integrated construction. Journal of Construction Engineering and Management, 150(09).
Wu, H, Chang, Y and Chen, Y (2024) Transitioning work arrangements in the construction industry: Changes in time-use patterns and individual greenhouse gas emissions. Journal of Construction Engineering and Management, 150(09).
Yang, J, Wu, Y and Li, D (2024) Block planning based on grid's topology for the dismantling of long-span spatial lattice structures. Journal of Construction Engineering and Management, 150(09).
Zhang, Y, Chang, R, Mao, W, Zuo, J, Liu, L and Han, Y (2024) Challenges of automating interior construction progress monitoring. Journal of Construction Engineering and Management, 150(09).
Zhang, Y, Liu, L, Song, Z, Zhao, Y and He, S (2024) Enhancing tunnel boring machine penetration rate predictions through particle swarm optimization and elman neural networks. Journal of Construction Engineering and Management, 150(09).