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Applicability of Integrated Project Delivery Principles Based on a Measurement Model in China

Author

Listed:
  • Tingting Mei

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430070, China)

  • Zeng Guo

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Peng Li

    (School of Entrepreneurship, Wuhan University of Technology, Wuhan 430070, China)

  • Kaixian Fang

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430070, China)

  • Shuda Zhong

    (School of Resources& Safety Engineering, Wuhan Institute of Technology, Wuhan 430070, China)

Abstract

This paper explores a novel approach to clarify the applicability of the Integrated Project Delivery (IPD) principles in a certain region or country which has a specific cultural background, the paper further promotes the effective application of IPD principles. The method of combining qualitative and quantitative analysis is adopted, incorporating scientometric analysis, questionnaire survey, qualitative analysis, and a measurement model. On the basis of 310 sample data collected from various practitioners and researchers in China’s construction industry, the measurement models of IPD applicability analysis on the average level of sample (ALS) and the best level of sample (BLS) are established, respectively. The results show that these measurement models are essentially consistent with the composition of the conceptual model, including project performance, contractual principles, collaboration-related principles, behavioral principles, and catalysts. Thus, this paper provides a scientific and methodological basis for how to effectively apply the IPD principles. This study sheds light on project delivery system research in two aspects: it proposes a new idea to study the applicability of IPD principles and lays a foundation for the future quantitative study on the impact mechanism of IPD principles on project performance.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1592-:d:1035293
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    References listed on IDEAS

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    1. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    2. 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.
    3. Anne Boomsma, 1985. "Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 229-242, June.
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