Ai And Information System in Construction Management: A Bibliomtric Analysis

Abstract

Introduction: The paper conducts a bibliometric analysis of the development and trends in Artificial Intelligence (AI) and information systems within construction management research. It underscores the growing amalgamation of AI-driven technologies with information systems that facilitate efficient project management, risk forecasting, and operational enhancement in construction.
Objectives: This study aims to do a thorough bibliometric analysis of academic articles about Artificial Intelligence (AI) and information systems in construction management from 1960 to 2025. The analysis seeks to identify principal research trends, thematic emphases, and development phases, while assessing discipline contributions and the global geographic distribution of research output. The study aims to delineate collaboration networks among authors and institutions while emphasizing emerging technologies and themes that are influencing the sector. This project aims to elucidate existing knowledge frameworks and inform future strategies for the integration of AI within construction management, sustainability, and digital transformation.

Methods: Five hundred seventy-one Scopus-indexed papers from 1960 to 2025 were evaluated utilizing bibliometric techniques, including VOSviewer. The study examined publishing patterns, discipline contributions, geographic distribution, and thematic clusters in research pertaining to AI and information systems within construction management.

Results: indicate three phases: negligible activity prior to 2016, accelerated growth post-2016 associated with advancements in AI algorithms, Building Information Modeling (BIM), and Internet of Things (IoT) technologies, alongside an expanding multidisciplinary approach encompassing computer science, engineering, social sciences, and environmental sciences. China, the United States, and the United Kingdom dominate in research production and citations, with burgeoning contributions from other regions.

Conclusions: The integration of AI and information systems has proven pivotal to innovation in construction management. The advancing interdisciplinary and global research environment indicates forthcoming prospects in sustainable, cloud-based, and data-driven construction project management.