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Risk Factors of Building Apartments for University Talent through the Agent Construction Mode in China: Interrelationship and Prioritization

Author

Listed:
  • Zhengrong Liu

    (Real Estate Management Office, Zhejiang University, Hangzhou 310058, China)

  • Wendan Jiang

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

  • Yuzhe Wu

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

  • Yi Peng

    (School of Public Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, China)

Abstract

Apartments for university talent (AUT), are apartments provided to staff at non-market price, in order to attract outstanding scholars from around the world to work in universities and improve educational quality. This has been a critical issue in achieving social sustainability in China during rapid urbanization and industrialization. The agent construction mode has been adopted to build AUT because universities usually lack relevant management experience. The agent construction mode is a type of turnkey engineer construction based on the principal-agent model, project bidding mode, engineering contracting projects, and project supervision system. Risk factors are important considerations for both universities and agent construction companies. Although some studies have investigated the risk factors, only a few studies have identified the hierarchical structure of relevant risk factors. Therefore, the interrelationship and prioritization of the risk factors remain unknown, and this situation presents a barrier to better risk management. This paper investigates the interrelationship of risk factors with interpretative structural modeling (ISM). In addition, fuzzy MICMAC (matric d’impacts croises-multiplication appliqué a un classemen) analysis was conducted to prioritize the risk factors. The findings provide useful references for better risk management of building AUT through the agent construction mode. Although this study focuses on China, the analytical process can also be generalized to other research topics and other countries.

Suggested Citation

  • Zhengrong Liu & Wendan Jiang & Yuzhe Wu & Yi Peng, 2016. "Risk Factors of Building Apartments for University Talent through the Agent Construction Mode in China: Interrelationship and Prioritization," Sustainability, MDPI, vol. 8(4), pages 1-13, March.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:325-:d:67037
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    References listed on IDEAS

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    1. Yelin Xu & Yi Peng & Queena K. Qian & Albert P. C. Chan, 2015. "An Alternative Model to Determine the Financing Structure of PPP-Based Young Graduate Apartments in China: A Case Study of Hangzhou," Sustainability, MDPI, vol. 7(5), pages 1-15, May.
    2. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
    3. Yi Peng & Qiping Shen & Liyin Shen & Chen Lu & Zhao Yuan, 2014. "A generic decision model for developing concentrated rural settlement in post-disaster reconstruction: a China study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(1), pages 611-637, March.
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    Cited by:

    1. Manel Elmsalmi & Wafik Hachicha & Awad M. Aljuaid, 2021. "Prioritization of the Best Sustainable Supply Chain Risk Management Practices Using a Structural Analysis Based-Approach," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    2. 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.
    3. Naim Ahmad & Noorulhasan Naveed Quadri & Mohamed Rafik N. Qureshi & Mohammad Mahtab Alam, 2018. "Relationship Modeling of Critical Success Factors for Enhancing Sustainability and Performance in E-Learning," Sustainability, MDPI, vol. 10(12), pages 1-16, December.

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