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An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China

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  • Pan Gong

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

  • Ningshuang Zeng

    (Faculty of Civil and Environmental Engineering, Ruhr-Universität Bochum, Universitätsstraße 150, D-44780 Bochum, Germany)

  • Kunhui Ye

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

  • Markus König

    (Faculty of Civil and Environmental Engineering, Ruhr-Universität Bochum, Universitätsstraße 150, D-44780 Bochum, Germany)

Abstract

The engineering-procurement-construction (EPC) method has the potential to help construction projects achieve sustainable performance, e.g., the contractor’s early involvement, cost savings, and a reduced schedule. However, high uncertainties and complexities are contained in EPC projects. 4D BIM (Building Information Modeling) with abilities to simplify the time and space relationships of construction activities and support multi-party information sharing is beneficial to EPC project management. The behavior pattern of the project personnel toward accepting 4D BIM information systems or tools needs to be explored. Therefore, a research model of the acceptance of 4D BIM in EPC projects with eight latent constructs is proposed through a literature review of technology acceptance theories. Data is collected from a questionnaire survey and interviews. Research hypotheses are examined using PLS-SEM (partial least squares-structural equation modeling). Empirical evidence is collected from China, and implications to the developing countries facing the challenge of developing a technology-intensive construction industry are provided: (1) Adopting 4D BIM in the EPC project is beneficial; (2) the task-technology fit plays a leading role in technology acceptance; (3) the management incentive is inefficient at the operational stage. Suggestions for future research on 4D BIM acceptance in complex construction projects with abundant data and alternative models are provided.

Suggested Citation

  • Pan Gong & Ningshuang Zeng & Kunhui Ye & Markus König, 2019. "An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1316-:d:210431
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    References listed on IDEAS

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    1. Kumar, Bipul, 2012. "Theory of Planned Behaviour Approach to Understand the Purchasing Behaviour for Environmentally Sustainable Products," IIMA Working Papers WP2012-12-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. Kuo-Yu Huang & Yea-Ru Chuang, 2016. "A task–technology fit view of job search website impact on performance effects: An empirical analysis from Taiwan," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1253943-125, December.
    3. M. Motiar Rahman & Mohan Kumaraswamy, 2002. "Joint risk management through transactionally efficient relational contracting," Construction Management and Economics, Taylor & Francis Journals, vol. 20(1), pages 45-54.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by Academics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, April.
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    Cited by:

    1. Zezhou Wu & Mingyang Jiang & Yuzhu Cai & Hao Wang & Shenghan Li, 2019. "What Hinders the Development of Green Building? An Investigation of China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    2. Mohammad Mayouf & Jamie Jones & Faris Elghaish & Hassan Emam & E. M. A. C. Ekanayake & Ilnaz Ashayeri, 2024. "Revolutionising the 4D BIM Process to Support Scheduling Requirements in Modular Construction," Sustainability, MDPI, vol. 16(2), pages 1-17, January.

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