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Exploring the Moral Hazard Evolutionary Mechanism for BIM Implementation in an Integrated Project Team

Author

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  • Yanchao Du

    (Department of Construction Management, Dalian University of Technology, Dalian 116024, China)

  • Hengyu Zhou

    (Department of Construction Management, Dalian University of Technology, Dalian 116024, China)

  • Yongbo Yuan

    (Department of Construction Management, Dalian University of Technology, Dalian 116024, China)

  • Hong Xue

    (School of Management, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Integrated project delivery (IPD) is a new emerging delivery system, contributes to increase value to the owner, reduces waste and maximizes efficiency in the life cycle of projects. However, IPD system has not yet shifted from pilot-alike or particular-purposed cases to large-scale applications. The huge advantages of building information modeling (BIM) are far from being exploited, which directly leads to the delivered outcomes below expectations, thereby causing obstacles to widespread application of IPD system. The reasons impeding the successful application of BIM has been a hot topic. Previous studies suggested that moral hazard behavior is a critical inducer leading to the undesirable outcomes. However, very few studies have studied the evolution mechanism of moral hazard behavior for BIM application. To fill this knowledge gap, this study proposed a novel model, aiming to capture dynamically the interactive behavior of BIM-based strategy selections using evolutionary game theory. Five parameters of monitoring cost, proprietary cost, incentive payment, punishment and speculative benefit are extracted and defined in the proposed model. Numerical simulations are conducted with MATLAB 2016a. The simulation results showed that when incentive payment is higher than the sum of speculative benefit and proprietary cost, interactive behavior of both game players will move toward the optimal portfolio strategy. Incentive payment and punishment have negative correlations with the probability of moral hazard behavior for BIM application. Parameters of speculative benefit and proprietary cost affect positively implementation probability of moral hazard behavior of employing BIM. This study can provide theoretical and managerial implications for integrated project managers and related government department to improve implementation of BIM and IPD system, and also contribute to its sustainable development.

Suggested Citation

  • Yanchao Du & Hengyu Zhou & Yongbo Yuan & Hong Xue, 2019. "Exploring the Moral Hazard Evolutionary Mechanism for BIM Implementation in an Integrated Project Team," Sustainability, MDPI, vol. 11(20), pages 1-28, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5719-:d:277042
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    References listed on IDEAS

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    1. Cohen, Mark A, 1987. "Optimal Enforcement Strategy to Prevent Oil Spills: An Application of a Principal-Agent Model with Moral Hazard," Journal of Law and Economics, University of Chicago Press, vol. 30(1), pages 23-51, April.
    2. Friedman, Daniel & K., C. Fung, 1996. "International trade and the internal organization of firms: An evolutionary approach," Journal of International Economics, Elsevier, vol. 41(1-2), pages 113-137, August.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. Li, Dandan & Ma, Jing & Tian, Zihao & Zhu, Hengmin, 2015. "An evolutionary game for the diffusion of rumor in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 51-58.
    5. Tomasz Obloj & Peter Zemsky, 2015. "Value creation and value capture under moral hazard: Exploring the micro-foundations of buyer– supplier relationships," Strategic Management Journal, Wiley Blackwell, vol. 36(8), pages 1146-1163, August.
    6. Johnnie E. V. Johnson & Owen Jones & Leilei Tang, 2006. "Exploring Decision Makers' Use of Price Information in a Speculative Market," Management Science, INFORMS, vol. 52(6), pages 897-908, June.
    7. Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
    8. Basu, Kaushik & Jones, Eric & Schlicht, Ekkehart, 1987. "The growth and decay of custom: The role of the new institutional economics in economic history," Explorations in Economic History, Elsevier, vol. 24(1), pages 1-21, January.
    9. Rubinstein, Ariel, 1979. "Equilibrium in supergames with the overtaking criterion," Journal of Economic Theory, Elsevier, vol. 21(1), pages 1-9, August.
    10. Duffy, John & Ochs, Jack, 2009. "Cooperative behavior and the frequency of social interaction," Games and Economic Behavior, Elsevier, vol. 66(2), pages 785-812, July.
    11. Bardhan, Pranab, 1989. "The new institutional economics and development theory: A brief critical assessment," World Development, Elsevier, vol. 17(9), pages 1389-1395, September.
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    Cited by:

    1. Tingting Mei & Zeng Guo & Peng Li & Kaixian Fang & Shuda Zhong, 2023. "Applicability of Integrated Project Delivery Principles Based on a Measurement Model in China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    2. Qurratulain Malik & Abdur Rehman Nasir & Rabiah Muhammad & Muhammad Jamaluddin Thaheem & Fahim Ullah & Khurram Iqbal Ahmad Khan & Muhammad Usman Hassan, 2021. "BIMp-Chart—A Global Decision Support System for Measuring BIM Implementation Level in Construction Organizations," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
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    5. Ivona Ivić & Anita Cerić, 2023. "Risks Caused by Information Asymmetry in Construction Projects: A Systematic Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-25, June.

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