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<p>Digital transformation (DT) is increasingly reshaping construction through data-driven design, connected assets, and platform-based coordination across fragmented project ecosystems. This paper provides a systematic review of DT research in the construction industry using a PRISMA-guided search strategy in Scopus (2016–2025). After de-duplication and multi-stage screening (title/metadata, abstract, and full-text eligibility), 30 peer‑reviewed studies were retained for analysis. We apply an inductive conceptual synthesis to develop two interlinked taxonomies: (i) DT dimensions in project-based settings (digital strategy, stakeholder engagement and coordination, innovation culture, enabling technologies, and data &amp; analytics) and (ii) construction-industry context dimensions (stakeholders, project phases, construction types, key processes/techniques, and economic–environmental considerations). Cross-study synthesis shows strong concentration on BIM/digital twins, IoT-enabled monitoring and automation, and AI/analytics for safety, quality and scheduling; by contrast, organizational change mechanisms, interoperability governance, and long-term outcome evaluation remain underdeveloped. The review distinguishes technologies that are potentially transformative (integrated BIM–twin platforms and analytics-enabled decision infrastructures) from tools that primarily yield incremental gains (standalone automation/sensing). We conclude with actionable implications for researchers (socio-technical and cross-context validation) and practitioners (capability building, data governance, and phased integration roadmaps).</p>

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Review of the Effects of Digital Transformation on the Construction Industry

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月30日

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  • Hamed Nozari,
  • Ali Bakhshi Movahed,
  • Agnieszka Szmelter-Jarosz

摘要

Digital transformation (DT) is increasingly reshaping construction through data-driven design, connected assets, and platform-based coordination across fragmented project ecosystems. This paper provides a systematic review of DT research in the construction industry using a PRISMA-guided search strategy in Scopus (2016–2025). After de-duplication and multi-stage screening (title/metadata, abstract, and full-text eligibility), 30 peer‑reviewed studies were retained for analysis. We apply an inductive conceptual synthesis to develop two interlinked taxonomies: (i) DT dimensions in project-based settings (digital strategy, stakeholder engagement and coordination, innovation culture, enabling technologies, and data & analytics) and (ii) construction-industry context dimensions (stakeholders, project phases, construction types, key processes/techniques, and economic–environmental considerations). Cross-study synthesis shows strong concentration on BIM/digital twins, IoT-enabled monitoring and automation, and AI/analytics for safety, quality and scheduling; by contrast, organizational change mechanisms, interoperability governance, and long-term outcome evaluation remain underdeveloped. The review distinguishes technologies that are potentially transformative (integrated BIM–twin platforms and analytics-enabled decision infrastructures) from tools that primarily yield incremental gains (standalone automation/sensing). We conclude with actionable implications for researchers (socio-technical and cross-context validation) and practitioners (capability building, data governance, and phased integration roadmaps).