The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach
通过基于主体的模型模拟不同任务条件下的团队互动，发现团体奖励系统比个人奖励和混合系统更能促进合作行为，并识别出自我牺牲者这一关键角色。
To examine the effect of individual versus group evaluation and reward systems on work group behavior and performance under different task conditions. Uses computational social methods using Agent Based Models to simulate work group interactions as different forms of iterated games. 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. Suggest opportunities for model development and guidelines for designing real world experiments. Helps firms engineer better performing work groups as well as the design of other business systems. Identifies mechanisms by which cooperation can be developed in social systems. Demonstrates the role and value of computational social science methods and agent based models to business research.