Optimal incentives for teams: a multiscale decision theory approach
Optimal incentives for teams: a multiscale decision theory approach
复制标题
团队的最优激励:多尺度决策理论方法
DOI:
10.1007/s10479-019-03478-7
复制
发表时间:
2020
影响因子:
4.8
通讯作者:
Wernz, Christian
中科院分区:
文献类型:
--
作者:
Kulkarni, Aditya U.;Wernz, Christian
We present a novel modeling approach for supervised teams, which can determine optimal incentives when individual team member contributions are unknown. Our approach is based on multiscale decision theory, which models the agents’ decision processes and their mutual influence. To estimate the initially unknown influence of team members on their supervisor’s success, we develop a linear approximation method that estimates model parameters from historic team performance data. In our analysis, we derive the optimal incentives the supervisor should offer to team members accounting for their varying skill levels. In addition, we identify the information and communication requirements between all agents such that the supervisor can calculate the optimal incentives, and such that team members can calculate their optimal effort responses. We illustrate our methods and the results through a systems engineering example.
登录
查看更多内容
DOI:
10.1016/j.ejor.2012.06.038
发表时间:
2012
期刊:
Eur. J. Oper. Res.
影响因子:
--
作者:
Christian Wernz;A. Deshmukh
通讯作者:
A. Deshmukh
影响因子:
2.3
作者:
Christian Wernz;Andrew Henry
通讯作者:
Andrew Henry
影响因子:
--
作者:
P. Beling
通讯作者:
P. Beling
影响因子:
3.6
作者:
Hui Zhang;Christian Wernz;D. Hughes
通讯作者:
D. Hughes
DOI:
10.15057/5003
发表时间:
2001
期刊:
Hitotsubashi journal of commerce and management
影响因子:
--
作者:
Hideshi Itoh
通讯作者:
Hideshi Itoh