An organization’s success depends on its ability to attract and retain skilled personnel. Superintendents play a critical role in overseeing project sites in the construction industry and can adapt to the increasingly complicated requirements of modern construction projects. This study examines traditional and modern personnel selection methods to determine effective tactics, essential competencies, and emerging trends regarding supervisory personnel. The research methodology follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. First, this study examines traditional and modern selection methods used by organizations and engineering firms to provide a comprehensive overview of the topic and assist in selecting appropriate staff recruitment procedures. Second, the Web of Science, Scopus, and Google Scholar databases were reviewed to identify superintendent selection approaches and competencies, over the period January 2000 to September 2024. A total of 22 relevant papers were analyzed. Superintendent selection processes included questionnaires (57%), interviews (26%), literature reviews (14%), and data-driven AI tools (3%). Forty competency criteria were identified, with the top five being knowledge, communication skills, leadership, health and safety expertise, and commitment. As a result, novel approaches employing Industry 4.0 technologies, including virtual reality (VR), wearable sensing devices (WSDs), natural language processing (NLP), blockchain, and computer vision, are recommended. These findings support a better understanding of how best to identify the most qualified supervisory personnel and provides enhanced methods for evaluating job applicants.
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