Unlocking Organizational Success: A Systematic Literature Review of Superintendent Selection Strategies, Core Competencies, and Emerging Technologies in the Construction Industry

Mahdiyar Mokhlespour Esfahani, Mostafa Khanzadi (), Sogand Hasanzadeh, Alireza Moradi, Igor Martek and Saeed Banihashemi
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Mahdiyar Mokhlespour Esfahani: School of Civil Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
Mostafa Khanzadi: School of Civil Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
Sogand Hasanzadeh: Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA
Alireza Moradi: Department of Clinical Psychology, Kharazmi University, Tehran 15719-14911, Iran
Igor Martek: School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia
Saeed Banihashemi: School of Built Environment, University of Technology Sydney (UTS), Sydney, NSW 2007, Australia

Sustainability, 2024, vol. 16, issue 24, 1-30

Abstract: 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.

Keywords: personnel selection methods; superintendents; competencies; construction 4.0; human resource management (HRM) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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