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.
References
AbouRizk, S., P. Knowles, and U. Hermann. 2001. “Estimating labor production rates for industrial construction activities.” J. Constr. Eng. Manage. 127 (6): 502–511.
Ashforth, B. E., and F. Mael. 1989. “Social identity theory and the organization.” Acad. Manage. Rev. 14 (1): 20–39.
Bagozzi, R. P., and Y. Yi. 2012. “Specification, evaluation, and interpretation of structural equation models.” J. Acad. Market. Sci. 40 (1): 8–34.
Bandura, A. 1977. “Self-efficacy: Toward a unifying theory of behavioral change.” Psychol. Rev. 84 (2): 191–215.
Baron, R. M., and D. A. Kenny. 1986. “The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.” J. Pers. Soc. Psychol. 51 (6): 1173–1182.
Bassioni, H. A., A. D. Price, and T. M. Hassan. 2004. “Performance measurement in construction.” J. Manage. Eng. 20 (2): 42–50.
Beal, D. J., R. R. Cohen, M. J. Burke, and C. L. McLendon. 2003. “Cohesion and performance in groups: A meta-analytic clarification of construct relations.” J. Appl. Psychol. 88 (6): 989–1004.
Bennett, R. J., and S. L. Robinson. 2000. “Development of a measure of workplace deviance.” J. Appl. Psychol. 85 (3): 349–360.
Bobko, P. 2001. Correlation and regression: Applications for industrial organizational psychology and management. Thousand Oaks, CA: Sage.
Borman, W. C., and S. J. Motowidlo. 1997. “Task performance and contextual performance: The meaning for personnel selection research.” Hum. Perform. 10 (2): 99–109.
Borman, W. C., L. A. Penner, T. D. Allen, and S. J. Motowidlo. 2001. “Personality predictors of citizenship performance.” Int. J. Select. Assess. 9 (1–2): 52–69.
Campbell, J. P. 1990. “Modeling the performance prediction problem in industrial and organizational psychology.” In Handbook of industrial and organizational psychology, edited by M. D. Dunnette and L. M. Hough, 687–732. Palo Alto, CA: Consulting Psychologists Press.
Chan, A. P. C., and A. P. L. Chan. 2004. “Key performance indicators for measuring construction success.” Benchmarking Int. J. 11 (2): 203–221.
Cohen, J., P. Cohen, S. G. West, and L. S. Aiken. 2013. Applied multiple regression/correlation analysis for the behavioral sciences. New York: Routledge.
Cox, R. F., R. R. Issa, and A. Frey. 2006. “Proposed subcontractor-based employee motivational model.” J. Constr. Eng. Manage. 132 (2): 152–163.
Dai, J., P. M. Goodrum, and W. F. Maloney. 2009. “Construction craft workers’ perceptions of the factors affecting their productivity.” J. Constr. Eng. Manage. 135 (3): 217–226.
Dalal, R. S. 2005. “A meta-analysis of the relationship between organizational citizenship behavior and counterproductive work behavior.” J. Appl. Psychol. 90 (6): 1241–1255.
Devonish, D., and D. Greenidge. 2010. “The effect of organizational justice on contextual performance, counterproductive work behaviors, and task performance: Investigating the moderating role of ability-based emotional intelligence.” Int. J. Select. Assess. 18 (1): 75–86.
Diefendorff, J. M., and M. M. Chandler. 2011. “Motivating employees.” In APA handbook of industrial and organizational psychology. Vol 1: Building and developing the organization, edited by S. E. Zedeck, Washington, DC: American Psychological Association.
Fayek, A. R., and A. Oduba. 2005. “Predicting industrial construction labor productivity using fuzzy expert systems.” J. Constr. Eng. Manage. 131 (8): 938–941.
Frazier, P. A., A. P. Tix, and K. E. Barron. 2004. “Testing moderator and mediator effects in counseling psychology research.” J. Counseling Psychol. 51 (1): 115–134.
Goddard, R. D., W. K. Hoy, and A. W. Hoy. 2004. “Collective efficacy beliefs: Theoretical developments, empirical evidence, and future directions.” Educ. Res. 33 (3): 3–13.
Gruys, M. L., and P. R. Sackett. 2003. “Investigating the dimensionality of counterproductive work behavior.” Int. J. Select. Assess. 11 (1): 30–42.
Kagioglou, M., R. Cooper, and G. Aouad. 2001. “Performance management in construction: A conceptual framework.” Constr. Manage. Econ. 19 (1): 85–95.
Knight, K., and A. R. Fayek. 2000. “A preliminary study of the factors affecting the cost escalation of construction projects.” Can. J. Civ. Eng. 27 (1): 73–83.
Liberda, M., J. Ruwanpura, and G. Jergeas. 2003. “Construction productivity improvement: A study of human, management and external issues.” In Proc., Construction Research Congress: Wind of Change: Integration and Innovation, 1–8. Reston, VA: ASCE.
Maloney, W. F., and J. M. McFillen. 1987. “Motivational impact of work crews.” J. Constr. Eng. Manage. 113 (2): 208–221.
Meyer, J. P., and N. J. Allen. 1991. “A three-component conceptualization of organizational commitment.” Hum. Resourc. Manage. Rev. 1 (1): 61–89.
Omar, M. N., and A. R. Fayek. 2016. “Modeling and evaluating construction project competencies and their relationship to project performance.” Automat. Constr. 69 (Sep): 115–130.
Organ, D. W. 1988. Organizational citizenship behavior: The good soldier syndrome. Lexington, MA: Lexington Books/DC Heath and Com.
Podgórski, D. 2015. “Measuring operational performance of OSH management system—A demonstration of AHP-based selection of leading key performance indicators.” Saf. Sci. 73: 146–166.
Rankin, J., A. R. Fayek, G. Meade, C. Haas, and A. Manseau. 2008. “Initial metrics and pilot program results for measuring the performance of the Canadian construction industry.” Can. J. Civ. Eng. 35 (9): 894–907.
Raykov, T. 1997. “Estimation of composite reliability for congeneric measures.” Appl. Psychol. Meas. 21 (2): 173–184.
Šajeva, S. 2007. “Identifying factors affecting motivation and loyalty of knowledge workers.” Econ. Manage. 12: 643–652.
Siriwardana, C. S., and J. Y. Ruwanpura. 2012. “A conceptual model to develop a worker performance measurement tool to improve construction productivity.” In Proc., Construction Research Congress 2012: Construction Challenges in a Flat World, 179–188. Reston, VA: ASCE.
Tsehayae, A. A., and A. R. Fayek. 2014. “Identification and comparative analysis of key parameters influencing construction labour productivity in building and industrial projects.” Can. J. Civ. Eng. 41 (10): 878–891.
Tsehayae, A. A., and A. R. Fayek. 2016. “System model for analysing construction labour productivity.” Constr. Innovation 16 (2): 203–228.
Wang, D., D. Arditi, and A. Damci. 2017. “Construction project managers’ motivators and human values.” J. Constr. Eng. Manage. 143 (4): ..
Ward, C. S., B. Curtis, and C. B. Chapman. 1991. “Objectives and performance in construction projects.” Constr. Manage. Econ. 9 (4): 343–353.
Wildman, J. L., W. L. Bedwell, E. Salas, and K. A. Smith-Jentsch. 2011. “Performance measurement at work: A multilevel perspective.” In APA handbook of industrial and organizational psychology. Vol. 1: Building and developing the organization, edited by S. Zedeck, 303–342. Washington, DC: American Psychological Association.
Xiong, B., M. Skitmore, and B. Xia. 2015. “A critical review of structural equation modeling applications in construction research.” Autom. Constr. 49 (Part A): 59–70.
Xiong, B., M. Skitmore, B. Xia, M. A. Masrom, K. Ye, and A. Bridge. 2014. “Examining the influence of participant performance factors on contractor satisfaction: A structural equation model.” Int. J. Project Manage. 32 (3): 482–491.
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©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
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