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Almashaqbeh, M and El-Rayes, K (2022) Minimizing transportation cost of prefabricated modules in modular construction projects. Engineering, Construction and Architectural Management, 29(10), 3847-67.

Alshboul, O, Shehadeh, A, Al-Kasasbeh, M, Al Mamlook, R E, Halalsheh, N and Alkasasbeh, M (2022) Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: a management decision support model. Engineering, Construction and Architectural Management, 29(10), 4153-76.

Durdyev, S, Mohandes, S R, Mahdiyar, A and Ismail, S (2022) What drives clients to purchase green building?: The cybernetic fuzzy analytic hierarchy process approach. Engineering, Construction and Architectural Management, 29(10), 4015-39.

Egbelakin, T, Wilkinson, S, Potangaroa, R and Ingham, J (2011) Enhancing seismic risk mitigation decisions: a motivational approach. Construction Management and Economics, 29(10), 1003–16.

Ekanayake, E M A C, Shen, G, Kumaraswamy, M, Owusu, E K and Xue, J (2022) Capabilities to withstand vulnerabilities and boost resilience in industrialized construction supply chains: a Hong Kong study. Engineering, Construction and Architectural Management, 29(10), 3809-29.

Hee, C H S and Ling, F Y Y (2011) Strategies for reducing employee turnover and increasing retention rates of quantity surveyors. Construction Management and Economics, 29(10), 1059–72.

Hu, X, Hu, X, Cui, Q, Li, Y, Lemckert, C and Wei, A (2022) Spatial-temporal analysis for the business performance of construction consultancy services in China. Engineering, Construction and Architectural Management, 29(10), 3997-4014.

Igwe, C, Nasiri, F and Hammad, A (2022) An empirical study on non-physical waste factors in the construction industry. Engineering, Construction and Architectural Management, 29(10), 4088-106.

Khan, N A, Hui, Z, Khan, A N and Soomro, M A (2022) Impact of women authentic leadership on their own mental wellbeing through ego depletion: moderating role of leader's sense of belongingness. Engineering, Construction and Architectural Management, 29(10), 4191-214.

Larsen, G D (2011) Understanding the early stages of the innovation diffusion process: awareness, influence and communication networks. Construction Management and Economics, 29(10), 987–1002.

Ma, G, Jiang, S and Jia, J (2022) Investigating the adoption of social media in the construction industry: empirical evidence from project teams in China. Engineering, Construction and Architectural Management, 29(10), 3948-69.

Marzouk, M, Elsaay, H and Othman, A A E (2022) Analysing BIM implementation in the Egyptian construction industry. Engineering, Construction and Architectural Management, 29(10), 4177-90.

Mbachu, J (2011) Sources of contractor’s payment risks and cash flow problems in the New Zealand construction industry: project team’s perceptions of the risks and mitigation measures. Construction Management and Economics, 29(10), 1027–41.

Oladinrin, O T and Ojo, L D (2022) Characterisation of the drivers of environmental management system implementation. Engineering, Construction and Architectural Management, 29(10), 3868-92.

Olbina, S, Hinze, J and Arduengo, C (2011) Drug testing practices in the US construction industry in 2008. Construction Management and Economics, 29(10), 1043–57.

Rezaei Nasab, S S, Tayefi Nasrabadi, A, Asadi, S and Haj Seiyed Taghia, S A (2022) Investigating the probability of designing net-zero energy buildings with consideration of electric vehicles and renewable energy. Engineering, Construction and Architectural Management, 29(10), 4061-87.

Saad, S, Alaloul, W S, Ammad, S and Qureshi, A H (2022) A qualitative conceptual framework to tackle skill shortages in offsite construction industry: a scientometric approach. Engineering, Construction and Architectural Management, 29(10), 3917-47.

Shooshtarian, S, Caldera, S, Maqsood, T, Ryley, T and Khalfan, M (2022) An investigation into challenges and opportunities in the Australian construction and demolition waste management system. Engineering, Construction and Architectural Management, 29(10), 4313-30.

Singla, H K and Sridharan, S (2022) Factors influencing the level of accuracy and compromise in overhead estimation for construction projects in India: an exploratory investigation. Engineering, Construction and Architectural Management, 29(10), 4040-60.

Tandon, U, Mittal, A, Bhandari, H and Bansal, K (2022) E-learning adoption by undergraduate architecture students: facilitators and inhibitors. Engineering, Construction and Architectural Management, 29(10), 4287-312.

Wan, X, Zhang, Y, Mao, P, Li, H, Wang, R, Yi, X and Zhao, X (2022) How perceived corporate social responsibility and public knowledge affect public participation intention: evidence from Chinese waste incineration power projects. Engineering, Construction and Architectural Management, 29(10), 4107-31.

Wang, Z, Liu, J and Guan, X (2022) Investigating the causal complexity of corruption in project-based organizations: a scenario analysis of bidding activity in the Chinese construction sector. Engineering, Construction and Architectural Management, 29(10), 3893-916.

• Type: Journal Article
• Keywords: configuration effect; construction sector; organizational corruption; scenario survey
• ISBN/ISSN:
• URL: https://doi.org/10.1108/ECAM-10-2020-0841
• Abstract:
  Purpose: Although the global construction industry has made great contributions to economic development, industry corruption is a challenge for governments all over the world. This paper aims to investigate the causal complexity of organizational corruption by exploring the configuration effect of multiple induced conditions of corruption in the construction sector. Design/methodology/approach: This study is focused on bribery, a specific form of corrupt behavior through a scenario-based survey role-playing game in which participants encounter bribery. A total of 400 Chinese construction sector participants were randomly recruited to complete this survey. Findings: Compared with studies that have identified a number of factors associated with corruption in the construction sector, this study found asymmetry and complexity in the causality of organizational corruption. That is, when a variable causing corruption changes from one condition to its opposite – for example, from fierce to mild competition – the degree of corruption is not necessarily reduced as one may expect. Practical implications: Anti-corruption measures should not rely solely on the net effects of discrete conditions and the interactions between multiple factors should not be ignored. In other words, anti-corruption strategies should not be implemented in isolation of their context, and pairing control measures with configurations is critical in controlling corruption. Finally, multiple configuration paths should be reconsidered when considering the degree of corruption reduction. Originality/value: This study proposes a comprehensive analysis framework for addressing organizational corruption in the construction sector by investigating configuration effects of multiple induced conditions and offers a useful method for addressing corruption.

Wilkins, J R (2011) Construction workers’ perceptions of health and safety training programmes. Construction Management and Economics, 29(10), 1017–26.

Yi, H (2022) 4D-printed parametric façade in architecture: prototyping a self-shaping skin using programmable two-way shape memory composite (TWSMC). Engineering, Construction and Architectural Management, 29(10), 4132-52.

Zhang, L, Yuan, J, Ning, Y, Xia, N and Zhang, G (2022) Enhancing the impacts of absorptive capacity on interorganizational collaboration in BIM-enabled construction projects – an SLT perspective. Engineering, Construction and Architectural Management, 29(10), 4215-40.

Zhang, Y, Wang, J, Ahmad, R and Li, X (2022) Integrating lean production strategies, virtual reality technique and building information modeling method for mass customization in cabinet manufacturing. Engineering, Construction and Architectural Management, 29(10), 3970-96.

Zhao, X and Pan, W (2022) The characteristics and evolution of business model for green buildings: a bibliometric approach. Engineering, Construction and Architectural Management, 29(10), 4241-66.