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Critical Behavioral Risk Factors among Principal Participants in the Chinese Construction Industry

Author

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  • Pengcheng Xiang

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China
    Construction Economics and Management Research Center, Chongqing University, Chongqing 400045, China
    International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China)

  • Fuyuan Jia

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China)

  • Xiaohui Li

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China)

Abstract

The main participants in construction projects are the client, contractors, material suppliers, and consultants such as the project supervisor. They play the most important roles in implementing construction projects, and their behavior has a significant impact on the project’s performance. Because each participant has their own particular interests, by virtue of proprietary information advantage, each individual participant is driven to achieve maximum benefit, which can result in improper behavior with respect to each other. The risk of this resulting in moral hazard and adverse selection based on information asymmetry is called behavioral risk among principal construction participants. Behavior is affected by various risk factors; successful implementation of construction projects depends on effective management of the key risk factors. This paper identifies and ranks the critical behavioral risk factors from the perspective of principal construction participants in the Chinese construction industry. The data used for analysis is based on an interview and questionnaire survey. Factor analysis is conducted with the assistance of SPSS17.0. Forty-one potential behavioral risk factors are identified, with 30 of those being critical, including “client changes project objective or investment direction”, “designer uses technological capability advantage to obtain profit”, and others. These findings contribute to the understanding of risk management in the construction industry in China. They also serve as a useful reference for further studies on the subject.

Suggested Citation

  • Pengcheng Xiang & Fuyuan Jia & Xiaohui Li, 2018. "Critical Behavioral Risk Factors among Principal Participants in the Chinese Construction Industry," Sustainability, MDPI, vol. 10(9), pages 1-22, September.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3158-:d:167699
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    References listed on IDEAS

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    Cited by:

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    2. Ji-Myong Kim & Junseo Bae & Seunghyun Son & Kiyoung Son & Sang-Guk Yum, 2021. "Development of Model to Predict Natural Disaster-Induced Financial Losses for Construction Projects Using Deep Learning Techniques," Sustainability, MDPI, vol. 13(9), pages 1-12, May.
    3. Ji-Myong Kim & Kag-Cheon Ha & Sungjin Ahn & Seunghyun Son & Kiyoung Son, 2020. "Quantifying the Third-Party Loss in Building Construction Sites Utilizing Claims Payouts: A Case Study in South Korea," Sustainability, MDPI, vol. 12(23), pages 1-13, December.
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    6. Hadi Sarvari & Alireza Valipour & Nordin Yahya & Norhazilan MD Noor & Michael Beer & Nerija Banaitiene, 2019. "Approaches to Risk Identification in Public–Private Partnership Projects: Malaysian Private Partners’ Overview," Administrative Sciences, MDPI, vol. 9(1), pages 1-18, February.

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