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Digital Intelligence in Building Lifecycle Management: A Mixed-Methods Approach

Author

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  • Jianying Lai

    (School of Engineering Audit, Nanjing Audit University, Nanjing 211815, China
    Jiangsu Key Laboratory of Public Project Audit, Nanjing 211815, China)

  • Runnan Wan

    (School of Engineering Audit, Nanjing Audit University, Nanjing 211815, China)

  • Heap-Yih Chong

    (School of Engineering Audit, Nanjing Audit University, Nanjing 211815, China
    Jiangsu Key Laboratory of Public Project Audit, Nanjing 211815, China)

  • Xiaofeng Liao

    (School of Civil and Hydraulic Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)

Abstract

The rapid evolution of information technology has positioned digital intelligence as a transformative force across socio-economic domains, necessitating rigorous scholarly examination of its applications and implications. This paper systematically explores the digital intelligence empowerment in Building Lifecycle Management (BLM) under the framework of Construction 4.0. Employing a mixed-methods approach, the research combines a systematic literature review with bibliometric visualization analysis using CiteSpace to map the intellectual landscape, identify key technological drivers (for example, Building Information Modeling, Internet of Things, artificial intelligence, and blockchain), and elucidate integration mechanisms across planning, design, construction, and operational phases. A comparative case study of BLM adoption further demonstrates the transformative impacts of digital intelligence on project efficiency, sustainability, and safety. The research highlights the role of digital intelligence in addressing industry challenges, including resource waste (global construction generates 30% of total waste), safety risks, and stagnant productivity, while fostering innovation and sustainable development. This study advances a holistic model for digital transformation in BLM, offering actionable insights for stakeholders to bridge the academia–industry divide and prioritize strategic investments in interoperable systems, workforce upskilling, and governance frameworks.

Suggested Citation

  • Jianying Lai & Runnan Wan & Heap-Yih Chong & Xiaofeng Liao, 2025. "Digital Intelligence in Building Lifecycle Management: A Mixed-Methods Approach," Sustainability, MDPI, vol. 17(11), pages 1-24, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:5121-:d:1670792
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