TY - GEN
T1 - Assessing the Overall Personality of Construction Project Teams
T2 - Construction Research Congress 2024, CRC 2024
AU - Kassa, Rebecca
AU - Ogundare, Ibilola
AU - Lines, Brian
AU - Smithwick, Jake
AU - Sullivan, Kenneth
N1 - Publisher Copyright:
© CRC 2024. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85188831349
UR - https://www.scopus.com/pages/publications/85188831349#tab=citedBy
U2 - 10.1061/9780784485293.023
DO - 10.1061/9780784485293.023
M3 - Conference contribution
AN - SCOPUS:85188831349
T3 - Construction Research Congress 2024, CRC 2024
SP - 220
EP - 231
BT - Health and Safety, Workforce, and Education
A2 - Shane, Jennifer S.
A2 - Madson, Katherine M.
A2 - Mo, Yunjeong
A2 - Poleacovschi, Cristina
A2 - Sturgill, Roy E.
PB - American Society of Civil Engineers (ASCE)
Y2 - 20 March 2024 through 23 March 2024
ER -