Assessing the applicability of international AI practices in construction management: A systematic review with implications for Vietnam

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Quoc-Bao Vo
Xuan-Nam Vu Dao
Nga Thi Nguyen
Thuy-Hien Thi Nguyen
Hai-Bang Ly

Abstract

This study systematically reviews 94 journal articles published between 2000 and 2024 to examine the application of artificial intelligence (AI) in construction management (CM). The review focuses on AI's role in managing quality, time, and cost, which are critical factors for project success. The findings reveal a growing trend in AI adoption, particularly in areas such as scheduling and quality control. However, the use of AI for on-site CM, especially in Vietnam, remains limited and underexplored. This research aims to assess international AI practices and their potential applicability to Vietnam, analyzing how these technologies could improve efficiency, accuracy, and safety in construction projects. The implications of these findings suggest that embracing AI technologies could lead to enhanced project outcomes in Vietnam's construction industry by optimizing quality management, improving scheduling efficiency, and better controlling costs.

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