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Daget, Y T and Zhang, H (2019) Decision-making model for the evaluation of industrialized housing systems in Ethiopia. Engineering, Construction and Architectural Management, 27(01), 296–320.

Du, J, Jing, H, Castro-Lacouture, D and Sugumaran, V (2019) Multi-agent simulation for managing design changes in prefabricated construction projects. Engineering, Construction and Architectural Management, 27(01), 270–95.

Durdyev, S, Hosseini, M R, Martek, I, Ismail, S and Arashpour, M (2019) Barriers to the use of integrated project delivery (IPD): a quantified model for Malaysia. Engineering, Construction and Architectural Management, 27(01), 186–204.

Han, J, Rapoport, A and Fong, P S (2019) Incentive structures in multi-partner project teams. Engineering, Construction and Architectural Management, 27(01), 49–65.

Hwang, B, Zhao, X and Lim, J (2019) Job satisfaction of project managers in green construction projects. Engineering, Construction and Architectural Management, 27(01), 205–26.

Liao, X, Lee, C Y and Chong, H (2019) Contractual practices between the consultant and employer in Chinese BIM-enabled construction projects. Engineering, Construction and Architectural Management, 27(01), 227–44.

Liu, S, Jin, H, Liu, C, Xie, B and Mills, A (2019) Government compensation and costs of non-competition guarantee for PPP rental retirement villages. Engineering, Construction and Architectural Management, 27(01), 128–49.

Mahamadu, A, Manu, P, Mahdjoubi, L, Booth, C, Aigbavboa, C and Abanda, F (2019) The importance of BIM capability assessment. Engineering, Construction and Architectural Management, 27(01), 24–48.

Moohialdin, A S M, Lamari, F, Miska, M and Trigunarsyah, B (2019) Construction worker productivity in hot and humid weather conditions. Engineering, Construction and Architectural Management, 27(01), 83–108.

Ozyurt, B, Dikmen, I and Birgonul, M T (2019) Clustering of host countries to facilitate learning between similar international construction markets. Engineering, Construction and Architectural Management, 27(01), 66–82.

Sang, L, Xia, D, Ni, G, Cui, Q, Wang, J and Wang, W (2019) Influence mechanism of job satisfaction and positive affect on knowledge sharing among project members. Engineering, Construction and Architectural Management, 27(01), 245–69.

Sarhan, J G, Xia, B, Fawzia, S, Karim, A, Olanipekun, A O and Coffey, V (2019) Framework for the implementation of lean construction strategies using the interpretive structural modelling (ISM) technique. Engineering, Construction and Architectural Management, 27(01), 1–23.

Sezer, A A and Bröchner, J (2019) Site managers’ ICT tools for monitoring resources in refurbishment. Engineering, Construction and Architectural Management, 27(01), 109–27.

Wang, D, Fu, H and Fang, S (2019) The efficacy of trust for the governance of uncertainty and opportunism in megaprojects. Engineering, Construction and Architectural Management, 27(01), 150–67.

  • Type: Journal Article
  • Keywords: Organization; Construction; Engineering; Project management;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-09-2018-0409
  • Abstract:
    The low success rate of megaprojects stems from the opportunism triggered by uncertainty. Developing trust between participants is an effective means to reduce uncertainty, but this process is inevitably affected by contracts. The purpose of this paper is to examine the impact of uncertainty on participants’ opportunism in megaprojects and the effect of trust on reducing uncertainty. At the same time, the moderating effects of contractual control are tested. Design/methodology/approach This research classifies trust into competence-based trust and goodwill-based trust and categorizes uncertainty into environmental uncertainty and behavioral uncertainty. Partial least squares structural equation modeling is used to test the hypotheses based on data collected from 172 respondents. Findings The results show a positive correlation between the two types of uncertainty and opportunism. For the governance of uncertainty, competence-based trust can reduce environmental uncertainty, but it is ineffective for behavioral uncertainty, and goodwill-based trust has a significant effect on both types of uncertainty. The test of moderating effects shows that contractual control strengthens the effect of competence-based trust but weakens the effect of goodwill-based trust, which means that contractual control complements competence-based trust and substitutes for goodwill-based trust. Research limitations/implications This research enriches the theory of megaproject management. First, it validates the role of competence-based trust and goodwill-based trust in reducing the different types of uncertainty in megaprojects. Second, this study clarifies the substitution or complementarity between contractual control and different dimensions of trust in the context of high uncertainty, which provides a comprehensive answer to prior research inconsistencies on contractual control and trust. Practical implications For practice, this research provides some implications for megaproject management. First, project managers should recognize that the match between trust and project uncertainty is key to the success of megaproject governance. For example, some megaprojects involve many organizations, and there are many difficulties in behavioral supervision and performance appraisal. Therefore, developing goodwill-based trust between participants through positive interactions is an effective means to reduce the behavioral uncertainty of all participants and to curb opportunistic behaviors. Originality/value This research validated the role of competence-based trust and goodwill-based trust in reducing the different types of uncertainty in megaprojects. Furthermore, it clarifies the substitution or complementarity between contractual control and different dimensions of trust in the context of high uncertainty, which provides a comprehensive answer to prior research inconsistencies on contractual control and trust.

Wang, Y, Liu, J, Zuo, J and Rameezdeen, R (2019) Ways to improve the project management efficiency in a centralized public procurement system. Engineering, Construction and Architectural Management, 27(01), 168–85.