Assessing the Overall Personality of Construction Project Teams: A Weighted Combination of Individual Team Member Personality Traits
Publication: Construction Research Congress 2024
ABSTRACT
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.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Allen, N. J., and Woodley, H. J. (2016). “Personality and Teamwork.” Encyclopedia of Personality and Individual Differences, 1–4.
Ashton, M. C., and Lee, K. (2009). “The HEXACO-60: A Short Measure of the Major Dimensions of Personality.” Journal of Personality Assessment, 91, 340–345.
Azmy, N. (2012). The Role of Team Effectiveness in Construction Project Teams and Project Performance. Iowa State Univ.
Barrick, M. R., Stewart, G. L., Neubert, M. J., and Mount, M. K. (1998). “Relating Member Ability and Personality to Work-Team Processes and Team Effectiveness.” Journal of Applied Psychology, 83(3), 377.
Bell, S. T. (2007). “Deep-Level Composition Variables as Predictors of Team Performance: A Meta-Analysis.” Journal Of Applied Psychology, 92(3), 595.
Bengio, Y., Lamblin, P., Popovici, D., and Larochelle, H. (2006). “Greedy Layer-wise Training of Deep Networks.” Advances in Neural Information Processing Systems, 19.
Chan, A. P., Ho, D. C., and Tam, C. M. (2001). “Effect of Interorganizational Teamwork on Project Outcome.” Journal of Management in Engineering, 17(1), 34–40.
Cornick, T., and Mather, J. (1999). Construction Project Teams: Making Them Work Profitably. Thomas Telford, London.
Delice, F., Rousseau, M., and Feitosa, J. (2019). “Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time.” Frontiers in Psychology, 10, 1324.
Forsyth, D. R. (2018). Group Dynamics. Cengage Learning.
Franz, B. W. (2014). Modeling The Role of Team Integration and Group Cohesion in Construction Project Performance. The Pennsylvania State Univ.
Garcia, A. J., and Mollaoglu, S. (2020). “Individuals’ Capacities to Apply Transferred Knowledge in AEC Project Teams.” Journal Of Construction Engineering and Management, 146(4), 04020016.
Haythorn, W. (1953). “The Influence of Individual Members on The Characteristics of Small Groups.” The Journal of Abnormal and Social Psychology, 48(2), 276.
Hinton, G. E., and Salakhutdinov, R. R. (2006). “Reducing The Dimensionality of Data with Neural Networks.” Science, 313(5786), 504–507.
Hoch, J. E., and Dulebohn, J. H. (2017). “Team Personality Composition, Emergent Leadership and Shared Leadership in Virtual Teams: A Theoretical Framework.” Human Resource Management Review, 27(4), 678–693.
Juhász, M. (2010). “Influence Of Personality on Teamwork Behavior and Communication.” Periodica Polytechnica Social and Management Sciences, 18(2), 61–74.
Kan, M., Shan, S., Chang, H., and Chen, X. (2014). “Stacked Progressive Auto-Encoders (Spae) For Face Recognition Across Poses.” In Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition, 1883–1890.
Larochelle, H., Erhan, D., Courville, A., Bergstra, J., and Bengio, Y. (2007, June). “An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation.” In Proceedings of the 24th International Conference on Machine Learning, 473–480.
Lepine, J. A., Buckman, B. R., Crawford, E. R., and Methot, J. R. (2011). “A Review of Research on Personality in Teams: Accounting for Pathways Spanning Levels of Theory and Analysis.” Human Resource Management Review, 21(4), 311–330.
Levi, D., and Askay, D. A. (2020). Group Dynamics for Teams. Sage Publications.
Lewin, K. (1947). “Frontiers in Group Dynamics: Concept, Method, and Reality in Social Science; Social Equilibria and Social Change.” Human Relations, 1(1), 5–41.
Loosemore, M. (2003). Essentials of Construction Project Management. UNSW Press.
Kramer, A., Bhave, D. P., and Johnson, T. D. (2014). “Personality and Group Performance: The Importance of Personality Composition and Work Tasks.” Personality and Individual Differences, 58, 132–137.
Kozlowski, S. W., and Ilgen, D. R. (2006). “Enhancing the Effectiveness of Work Groups and Teams.” Psychological Science in The Public Interest, 7(3), 77–124.
Mathieu, J. E., Hollenbeck, J. R., Van Knippenberg, D., and Ilgen, D. R. (2017). “A Century of Work Teams in the Journal of Applied Psychology.” Journal of Applied Psychology, 102(3), 452.
Myers, S. P. (2013). “Definition of Team Dynamics.” URL: http://www.teamtechnology.co.uk/team/dynamics/definition/. Accessed, 6.
Pathirage, C. S. N., Li, J., Li, L., Hao, H., Liu, W., and Ni, P. (2018). “Structural Damage Identification Based on Autoencoder Neural Networks and Deep Learning.” Engineering Structures, 172, 13–28.
Prewett, M. S., Walvoord, A. A., Stilson, F. R., Rossi, M. E., and Brannick, M. T. (2009). “The Team Personality–Team Performance Relationship Revisited: The Impact of Criterion Choice, Pattern of Workflow, and Method of Aggregation.” Human Performance, 22(4), 273–296.
Prewett, M. S., Brown, M. I., Goswami, A., and Christiansen, N. D. (2018). “Effects of Team Personality Composition on Member Performance: A Multilevel Perspective.” Group & Organization Management, 43(2), 316–348.
Rifai, S., Vincent, P., Muller, X., Glorot, X., and Bengio, Y. (2011, June). “Contractive Auto-Encoders: Explicit Invariance During Feature Extraction.” In Proceedings of The 28th International Conference on International Conference on Machine Learning, 833–840.
Salas, E., Reyes, D. L., and Woods, A. L. (2017). “The Assessment of Team Performance: Observations and Needs.” Innovative Assessment of Collaboration, 21–36.
Senaratne, S., and Hapuarachchi, A. (2009). “Construction Project Teams and Their Development: Case Studies in Sri Lanka.” Architectural Engineering and Design Management, 5(4), 215–224.
Schultz, D. P., and Schultz, S. E. (2016). Theories of Personality. Cengage Learning.
Stewart, M. (2019, April 14). “Comprehensive Introduction to Autoencoders.” Medium. https://towardsdatascience.com/generating-images-with-autoencoders-77fd3a8dd368, accessed May 10, 2023.
Tavakoli, N., Siami-Namini, S., Adl Khanghah, M., Mirza Soltani, F., and Siami Namin, A. (2020). “An Autoencoder-Based Deep Learning Approach for Clustering Time Series Data.” SN Applied Sciences, 2, 1–25.
Van Vianen, A. E., and De Dreu, C. K. (2001). “Personality in Teams: Its Relationship to Social Cohesion, Task Cohesion, and Team Performance.” European Journal of Work and Organizational Psychology, 10(2), 97–120.
Vincent, P., Larochelle, H., Bengio, Y., and Manzagol, P. A. (2008, July). “Extracting And Composing Robust Features with Denoising Autoencoders.” In Proceedings of the 25th International Conference on Machine Learning, 1096–1103.
Wang, W., Huang, Y., Wang, Y., and Wang, L. (2014). “Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction.” In Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition Workshops, 490–497.
Wang, Y., Yao, H., and Zhao, S. (2016). “Auto-Encoder Based Dimensionality Reduction.” Neurocomputing, 184, 232–242.
Wu, G., Liu, C., Zhao, X., and Zuo, J. (2017). “Investigating the Relationship between Communication-Conflict Interaction and Project Success Among Construction Project Teams.” International Journal of Project Management, 35(8), 1466–1482.
Information & Authors
Information
Published In
Construction Research Congress 2024
Pages: 220 - 231
History
Published online: Mar 18, 2024
ASCE Technical Topics:
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.