Optimal incentives for sequential production processes
研究组织中代理人按顺序完成任务时的最优激励方案，通过分配奖励使所有代理人都付出努力，同时最小化委托人的成本。
I study optimal incentive schemes in organizations where agents perform their tasks sequentially. I consider a model in which agents' effort decisions are mapped into the probability of the project's success. An optimal investment‐inducing mechanism allocates rewards to agents so as to induce all of them to exert effort in equilibrium at minimal cost to the principal. I characterize the unique optimal mechanism in several versions of my benchmark model. I also address the problem of allocating individuals with diverse qualifications to different slots of the production process as well as allocating tasks of different importance across different agents .