The construction sector acknowledges the need of teamwork for project success, which necessitates good collaboration among individuals working towards common goals. Social cognitive theory (CST) also concedes the importance of understanding the impact of individual personalities on a group's behavior as it affects team dynamics and project performance. However, there is shortage of research on overall team personality in the construction sector. This study fills this gap by developing and evaluating an overall construction project team personality from the weighted averages of individual team member personality traits. The weights were developed using a machine learning model, trained, and tested on data from 38 project teams spanning the past five years. These teams included important stakeholders such as owners, architects, engineers, contractors, and subcontractors. The findings highlight overall team personality provides a comprehensive summary of team characteristics, while presenting the group's motivation, interaction, and performance, ultimately leading to successful project outcomes.
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Kassa et al. (2024) studied this question.
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