Teams versus individual accountability: solving multitask problems through job design
构建多任务代理模型，证明当多任务问题严重或风险不重要时，团队问责优于个人问责，并发现共享难以测量的任务可能是最优的，挑战了现有文献的结论。
Many organizations are structured so that workers are jointly accountable for performance, even though there exist alternative organizational structures that align incentive compensation more closely with each worker's tasks. I develop a multitask agency model that demonstrates that such organizations may be optimal when multitask problems are severe or risk considerations are not too important. I also show that, in some circumstances, it may be optimal to share poorly measured tasks among several agents, contrary to the results of the existing multitask literature.