Abstract
Construction crew performance is a function of both motivation and the situation in which tasks are performed. However, previous research in construction has not comprehensively investigated situational/contextual factors and their impact on the relationship between motivation and performance. This paper defines a comprehensive set of crew performance metrics, analyzes the relationship between motivational factors and crew performance, and identifies key situational/contextual factors that affect the relationship between motivation and performance. Multiple-source interview surveys identify factors that motivate construction crews, situational/contextual factors, and crew performance metrics. Correlation analysis is performed on field data to determine the relationship between motivational factors and crew performance. Hierarchical regression analysis is used to identify key moderators of the relationship between motivation and performance. This paper makes three major contributions: it develops a comprehensive set of construction crew performance metrics that relate not only to task performance, but also to contextual performance and counterproductive behavior; it reveals how motivational factors affect crew performance; and it provides a comprehensive list of key moderators of the relationship between construction crew motivation and performance.
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Data Availability Statement
All data generated or analyzed during the study are included in the published paper. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.
Acknowledgments
This research is funded by the Natural Sciences and Engineering Research Council of Canada Industrial Research Chair in Strategic Construction Modeling and Delivery (NSERC IRCPJ 428226–15), which is held by Dr. A. R. Fayek. The authors gratefully acknowledge the support and data provided by industry partners and all personnel who participated in this study. The authors thank Mr. Ming kit Yau, who diligently helped in the data entry process.
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 144 • Issue 6 • June 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Sep 29, 2017
Accepted: Jan 3, 2018
Published online: Apr 11, 2018
Published in print: Jun 1, 2018
Discussion open until: Sep 11, 2018
ASCE Technical Topics:
- Analysis (by type)
- Business management
- Construction engineering
- Construction management
- Correlation
- Data analysis
- Engineering fundamentals
- Field tests
- Mathematics
- Measurement (by type)
- Methodology (by type)
- Metric systems
- Motivation
- Personnel management
- Practice and Profession
- Regression analysis
- Research methods (by type)
- Statistical analysis (by type)
- Statistics
- Surveys (non-geomatic)
- Tests (by type)
Authors
Metrics & Citations
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