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<p>This study examines how digital technologies enhance construction project management in England, addressing the limited empirical evidence on their real-world adoption. While Building Information Modelling (BIM), automation, and the Internet of Things (IoT) are widely discussed, their measurable impact on project performance remains uncertain. Drawing on the Technology–Organization–Environment (TOE) framework and Diffusion of Innovation (DOI) theory, this research introduces a context-specific TOE adaptation that identifies and prioritises adoption drivers for the English construction sector. Using Exploratory Factor Analysis (EFA) and Mean Square Ranking (MSR) of 75 professional responses, the study establishes a hierarchical adoption model linking technological readiness, organisational capability, and environmental regulation to efficiency, safety, and sustainability outcomes. The dual-stage EFA–MSR approach, validated through real-project case studies, provides the first quantitative prioritisation of TOE factors within a developed-economy construction context. The findings offer actionable guidance for policymakers and project managers seeking data-driven strategies to accelerate digital transformation in construction. The study is exploratory in nature because it investigates an underexamined national context, adapting and quantifying TOE constructs for England’s construction sector rather than developing new theoretical propositions.</p>

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The role of digital technologies in enhancing construction project management

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月8日

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  • Sarfraz Qadir,
  • Aawag Moshen Alawag,
  • Abdullah O. Baarimah,
  • Nabeel Zia,
  • Masoud Alajmi,
  • Hamad R. Almujibah,
  • Hashem Alyami

摘要

This study examines how digital technologies enhance construction project management in England, addressing the limited empirical evidence on their real-world adoption. While Building Information Modelling (BIM), automation, and the Internet of Things (IoT) are widely discussed, their measurable impact on project performance remains uncertain. Drawing on the Technology–Organization–Environment (TOE) framework and Diffusion of Innovation (DOI) theory, this research introduces a context-specific TOE adaptation that identifies and prioritises adoption drivers for the English construction sector. Using Exploratory Factor Analysis (EFA) and Mean Square Ranking (MSR) of 75 professional responses, the study establishes a hierarchical adoption model linking technological readiness, organisational capability, and environmental regulation to efficiency, safety, and sustainability outcomes. The dual-stage EFA–MSR approach, validated through real-project case studies, provides the first quantitative prioritisation of TOE factors within a developed-economy construction context. The findings offer actionable guidance for policymakers and project managers seeking data-driven strategies to accelerate digital transformation in construction. The study is exploratory in nature because it investigates an underexamined national context, adapting and quantifying TOE constructs for England’s construction sector rather than developing new theoretical propositions.