TY - JOUR
T1 - The impact of individual versus group rewards on work group performance and cooperation : a computational social science approach
AU - Ladley, Daniel
AU - Wilkinson, Ian
AU - Young, Louise
PY - 2015
Y1 - 2015
N2 - Purpose: To examine the effect of individual versus group evaluation and reward systems on work group behavior and performance under different task conditions. Methodology: Uses computational social methods using Agent Based Models to simulate work group interactions as different forms of iterated games. Findings: Group based systems outperform individual based and mixed systems, producing more cooperative behavior, the best performing groups and individuals in most types of interaction games. A new role emerges, the self-sacrificer, who plays a critical role in enabling other group members and the group, to perform better at their own expense. Research Implications: Suggest opportunities for model development and guidelines for designing real world experiments. Practical Implications: Helps firms engineer better performing work groups as well as the design of other business systems. Social Implications: Identifies mechanisms by which cooperation can be developed in social systems. Originality/Value: Demonstrates the role and value of computational social science methods and agent based models to business research.
AB - Purpose: To examine the effect of individual versus group evaluation and reward systems on work group behavior and performance under different task conditions. Methodology: Uses computational social methods using Agent Based Models to simulate work group interactions as different forms of iterated games. Findings: Group based systems outperform individual based and mixed systems, producing more cooperative behavior, the best performing groups and individuals in most types of interaction games. A new role emerges, the self-sacrificer, who plays a critical role in enabling other group members and the group, to perform better at their own expense. Research Implications: Suggest opportunities for model development and guidelines for designing real world experiments. Practical Implications: Helps firms engineer better performing work groups as well as the design of other business systems. Social Implications: Identifies mechanisms by which cooperation can be developed in social systems. Originality/Value: Demonstrates the role and value of computational social science methods and agent based models to business research.
KW - computational social sciences
KW - cooperation
KW - incentive awards
KW - teams in the workplace
UR - http://handle.uws.edu.au:8081/1959.7/uws:31903
U2 - 10.1016/j.jbusres.2015.02.020
DO - 10.1016/j.jbusres.2015.02.020
M3 - Article
SN - 0148-2963
VL - 68
SP - 2412
EP - 2425
JO - Journal of Business Research
JF - Journal of Business Research
IS - 11
ER -