Technical Papers
Jan 23, 2013

Effects of Workers’ Social Learning: Focusing on Absence Behavior

Publication: Journal of Construction Engineering and Management
Volume 139, Issue 8

Abstract

Workers’ consistent attendance is an indispensable condition for successful construction projects, but many construction projects still suffer from the productivity loss originating from workers’ absenteeism. To deal with this problem, construction managers have mainly used formal controls (e.g., penalties) targeting those individuals who present excessive absenteeism. However, recent research papers on absenteeism have testified to the paramount role of social factors, such as social norm, on workers’ absence behavior. Despite the increasing attention being paid to the social factors of workers’ absence behavior, discussion on how a social norm in favor of worker attendance control can be developed is sparse. If how such social norms emerge and how they play a role in controlling workers’ behavior are clear, construction managers can invest time in promoting favorable absence norms rather than focusing on regulations targeting individuals. Therefore, this paper studies the system-level effect of workers’ social learning using an experimental analysis with simulations in order to extend the knowledge of the social aspect in workers’ absence behavior. To conduct the analysis, an agent-based model was developed to serve as a comprehensive model that incorporates mechanisms of workers’ formal and social learning. The model was constructed by using theoretical and empirical findings on absence behavior drawn from scholarly literature. Then the constructed agent-based model was used to explore possible scenarios in organizations with simulations. With the simulation results, the following are demonstrated: (1) high social adaptation can work as a force to either increase or decrease workers’ absence rates; (2) when strict self-regulation is prevalent among workers, high social adaptation can lead to the development of a positive social norm at the jobsite; and (3) when high social adaptation reinforces formal rules, this occurrence reduces the need for additional formal controls on worker behavior. The results from this paper are expected to help construction organizations in understanding the availability of social norms in favor of management, and ultimately in using the social norm for effective labor control that meets little resistance.

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Acknowledgments

The work presented in this paper was supported financially by the National Science Foundation Award (SES 1127570). Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation.

References

Abrams, D., Ando, K., and Hinkle, S. (1998). “Psychological attachment to the group: Cross-cultural differences in organizational identification and subjective norms as predictors of workers’ turnover intentions.” Pers. Soc. Psychol. Bull., 24(10), 1027–1039.
Ahn, S., and Lee, S. (2012). “Exploring absenteeism control policies with awareness of the effect of group norms on absence behavior, using agent-based modeling.” Proc. of the 2012 Construction Research Congress, ASCE, Reston, VA.
Axelrod, R. (1997). “Advancing the art of simulation in the social sciences.” Complexity, 3(2), 16–22.
Axtell, R. L., and Epstein, J. L. (1994). “Agent-based modeling: Understanding our creations.” The Bulletin of the Santa Fe Institute, Winter, 28–32.
Bamberger, P., and Biron, M. (2007). “Group norms and excessive absenteeism: The role of peer referent others.” Organiz. Behav. Hum. Decis. Processes, 103(2), 179–196.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory, Prentice Hall, Englewood Cliffs, NJ.
Bandura, A. (1991). “Social cognitive theory of self-regulation.” Organiz. Behav. Hum. Decis. Processes, 50(2), 248–287.
Brown, D., Page, S., Riolo, R., Zellner, M., and Rand, W. (2005). “Path dependence and the validation of agent-based spatial models of land use.” Int. J. Geog. Inf. Sci., 19(2), 153–174.
Carver, C. S., and Scheier, M. F. (1981). Attention and self-regulation: A control theory approach to human behavior, Springer-Verlag, New York.
Carver, C. S., and Scheier, M. F. (1982). “Control theory: A useful conceptual framework for personality–social, clinical, and health psychology.” Psychol. Bull., 92(1), 111–135.
Das, T. K., and Teng, B.-S. (2001). “Trust, control, and risk in strategic alliances: An integrated framework.” Organiz. Stud., 22(2), 251–283.
Deci, E. L., Eghrari, H., Patrick, B. C., and Leone, D. R. (1994). “Facilitating internalization: The self-determination theory perspective.” J. Pers., 62(1), 119–142.
Duffy, M. K., Shaw, J. D., and Stark, E. M. (2000). “Performance and satisfaction in conflicted interdependent groups: When and how does self-esteem make a difference?” Acad. Manage. J., 43(4), 772–782.
Eason, R., Rosenberger, R., Kokalis, T., Selinger, E., and Grim, P. (2007). “What kind of science is simulation?” J. Exp. Theor. Artif. Intell., 19(1), 19–28.
Edwards, P. K., and Scullion, H. (1982). The social organization of industrial conflict: Control and resistance in the workplace, Blackwell, Oxford, UK.
Epstein, J. M. (1999). “Agent-based computational models and generative social science.” Complexity, 4(5), 41–60.
Flake, G. W. (1998). The computational beauty of nature: Computer explorations of fractals, chaos, complex systems, and adaptation, MIT Press, Cambridge, MA.
Friedkin, N. (2001). “Norm formation in social influence networks.” Social Networks, 23(3), 167–189.
Friedkin, N. E., and Johnsen, E. C. (2003). “Attitude change, affect control, and expectation states in the formation of influence networks.” Adv. Group Processes, 20, 1–29.
Gellatly, I. R., and Luchak, A. A. (1998). “Personal and organizational determinants of perceived absence norms.” Hum. Relat., 51(8), 1085–1102.
Gilbert, N. (2008). Agent-based models, Sage Publication, Thousand Oaks, CA.
Hackman, R. J. (1992). “Group influences on individuals in organizations.” Handbook of industrial and organizational psychology, M. D. Dunnette and L. M. Hough, eds., Consulting Psychologists Press, Palo Alto, CA, 199–267.
Hanna, A. S., Menches, C. L., Sullivan, K. T., and Sargent, J. R. (2005). “Factors affecting absenteeism in electrical construction.” J. Constr. Eng. Manage., 131(11), 1212–1218.
Harrison, J. R., Carroll, G. R., and Carley, K. M. (2007). “Simulation modeling in organizational and management research.” Acad. Manage. Rev., 32(4), 1229–1245.
Hekimoğlu, M., and Barlas, Y. (2010). “Sensitivity analysis of system dynamics models by behavior pattern measures.” Proc. of the 28th Int. Conf. of the System Dynamics Society, System Dynamics Society, Albany, NY.
Hinze, J., Ugwu, M., and Hubbard, L. (1985). “Absenteeism in construction industry.” J. Manage. Eng., 1(4), 188–200.
Hollinger, R. C. (1986). “Acts against the workplace: Social bonding and employee deviance.” Deviant Behav., 7(1), 53–75.
Iverson, R. D., Buttigieg, D. M., and Maguire, C. (2003). “Absence culture: The effects of union membership status and union-management climate.” Ind. Relat. Quebec., 58(3), 483–515.
Johns, G. (2008). “Absenteeism and presenteeism: Not at work or not working well.” The SAGE handbook of organizational behavior, 1, 160–177.
Johns, G., and Nicholson, N. (1982). “The meaning of absence: New strategies for theory and research.” Research in organizational behavior, B. Staw and L. L. Cummings, eds., JAI Press, Greenwich, CT, Vol. 4, 127–172.
Kristensen, K., Jørn Juhl, H., Eskildsen, J., Nielsen, J., Frederiksen, N., and Bisgaard, C. (2006). “Determinants of absenteeism in a large Danish bank.” Int. J. Hum. Resour. Manage., 17(9), 1645–1658.
Macy, M. W., and Willer, R. (2002). “From factors to actors: Computational sociology and agent-based modeling.” Annu. Rev. Sociol., 28, 143–166.
Martocchio, J. J. (1994). “The effects of absence culture on individual absence.” Hum. Relat., 47(3), 243–262.
Mason, C. M., and Griffin, M. A. (2003). “Group absenteeism and positive affective tone: A longitudinal study.” J. Organiz. Behav., 24(6), 667–687.
Mathieu, J. E., and Kohler, S. S. (1990). “A cross-level examination of group absence influences on individual absence.” J. Appl. Psych., 75(2), 217–220.
McMahan, G. G., and Wright, P. M. (1993). “Groups as self-regulating systems: A control theory perspective of norm formation and enforcement.” T 93-14(234), Center for Effective Organizations Publication, 〈http://www-marshall2.usc.edu/ceo/publications/pubs_pdf/t93_14.pdf〉 (Aug. 20, 2012).
Muraven, M., and Baumeister, R. F. (2000). “Self-regulation and depletion of limited resources: Does self-control resemble a muscle?” Psychol. Bull., 126(2), 247–259.
Newman, M. E. J. (2010). Networks: An Introduction, Oxford University Press, Oxford, UK.
Nicholson, N. (1977). “Absence behaviour and attendance motivation: A conceptual synthesis.” J. Manage. Stud., 14(3), 231–252.
Nicholson, N., and Johns, G. (1985). “The absence culture and the psychological contract—Who’s in control of absence?” Acad. Manage. Rev., 10, 397–407.
Rentsch, J., and Steel, R. P. (2003). “What does unit-level absence mean? Issues for future unit-level absence research.” Hum. Resour. Manage. Rev., 13(2), 185–202.
Robinson, S. (1999). “Simulation verification, validation and confidence: A tutorial.” Trans. Soc. Comput. Simul. Int., 16(2), 63–69.
Sanders, K. (2004). “Playing truant within organisations: Informal relationships, work ethics and absenteeism.” J. Managerial Psychol., 19(2)136–155.
Sichani, M. S., Lee, S., and Fayek, A. R. (2011). “Understanding construction workforce absenteeism in industrial construction.” Can. J. Civ. Eng., 38(8), 849–858.
Steers, R. M., and Rhodes, S. R. (1978). “Major influences on employee attendance: A process model.” J. Appl. Psych., 63(4), 391–407.
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world, McGraw-Hill, Boston.
Stone, D. F., and Zafar, B. (2010). “Bayesian social learning, conformity, and stubbornness: Evidence from the AP Top 25.” Federal Reserve Bank of New York Staff Rep. No. 453, 〈http://www.fednewyork.org/research/staff_reports/sr453.pdf〉 (Aug. 20, 2012).
Wiatrowski, M. D., Griswold, D. B., and Roberts, M. K. (1981). “Social control theory and delinquency.” Am. Sociol. Rev., 46(5), 525–541.
Xie, J. L., and Johns, G. (2000). “Interactive effects of absence culture salience and group cohesiveness: A multi-level and cross-level analysis of work absenteeism in the Chinese context.” J. Occup. Organiz. Psychol., 73(1), 31–52.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 139Issue 8August 2013
Pages: 1015 - 1025

History

Received: Sep 20, 2012
Accepted: Jan 21, 2013
Published online: Jan 23, 2013
Discussion open until: Jun 23, 2013
Published in print: Aug 1, 2013

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Seungjun Ahn [email protected]
S.M.ASCE
Ph.D. Student, Univ. of Michigan, Dept. of Civil and Environmental Engineering, 2350 Hayward St., Room 1316, G.G. Brown Building, Ann Arbor, MI 48109. E-mail: [email protected]
SangHyun Lee [email protected]
A.M.ASCE
Assistant Professor, Univ. of Michigan, Dept. of Civil and Environmental Engineering, 2350 Hayward St., Room 2340, G.G. Brown Building, Ann Arbor, MI 48109 (corresponding author). E-mail: [email protected]
Robert P. Steel [email protected]
Professor, Univ. of Michigan-Dearborn, College of Business, 19000 Hubbard Dr., Dearborn, MI 48128. E-mail: [email protected]

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