Intelligent Digital Technologies in the Monitoring and Control of Construction Projects

The digital transformation of construction has accelerated the adoption of intelligent digital technologies (IDTs) for project monitoring and control. However, existing evidence remains fragmented across technology-focused studies, with limited attention to how these technologies affect project management control processes. This study consolidates the state of the art through an SLR and a complementary bibliometric analysis. The SLR synthesizes recent evidence on IDTs used in construction monitoring and control by identifying core technology groups, principal applications, benefits, technical limitations, and organizational barriers. The bibliometric analysis of Web of Science publications maps the evolution and intellectual structure of the field, including publication growth, leading journals, thematic clusters, and emerging trends. The findings show that IDTs can substantially improve monitoring accuracy, timeliness, transparency, and decision support, particularly when implemented as interoperable systems rather than isolated tools. The evidence also indicates persistent barriers related to interoperability, data quality, implementation costs, skills shortages, organizational readiness, and resistance to change. Bibliometric and lexical results further suggest a field-wide transition from isolated data acquisition and basic automation toward integrated, intelligence-driven monitoring architectures combining BIM, computer vision, machine learning, and digital twins. This study contributes by proposing an Integrated IDT-Based Monitoring and Control Framework and by outlining future research directions on socio-technical adoption, integration capability, and decision-oriented project control systems in construction.