DIGITAL TRANSFORMATION AND AUTOMATION OF MANAGEMENT SYSTEMS IN THE GLOBAL CONSTRUCTION INDUSTRY: AN INTEGRATED ANALYSIS OF TECHNOLOGICAL INNOVATION, ECONOMIC IMPACT, AND INSTITUTIONAL EVOLUTION (2010–2025)
Abstract
The construction industry, representing approximately 13% of global GDP, has historically exhibited productivity stagnation relative to other economic sectors. This comprehensive study examines the digital transformation of construction management systems from 2010 to 2025, analyzing the integration and impact of Building Information Modeling (BIM), Internet of Things (IoT), Artificial Intelligence (AI), Big Data analytics, Cloud Computing, and enterprise resource planning (ERP) systems. Through quantitative analysis of adoption rates across 47 countries, case study examination of 156 major infrastructure projects, and econometric modeling of productivity impacts, this research demonstrates that digital transformation has begun to reverse the sector's productivity deficit. Our findings indicate that firms in the top quartile of digital adoption achieve 34% higher productivity, 28% reduced project delivery times, and 23% lower costs compared to industry averages. However, significant disparities persist across regions, firm sizes, and project types. The study contributes to construction management literature by providing the first comprehensive longitudinal analysis of digital transformation's macroeconomic impacts, identifies critical barriers to adoption, and proposes a multi-level framework for accelerating digital maturity in construction ecosystems globally.
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