Optimal incentives for teams: a multiscale decision theory approach

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 initia...

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Veröffentlicht in:	Annals of operations research 2020-05, Vol.288 (1), p.307-329
Hauptverfasser:	Kulkarni, Aditya U., Wernz, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	Business and Management Combinatorics Decision theory Incentives Management Mathematical optimization Methods Multidimensional scaling Operations research Operations Research/Decision Theory Original Research Parameter estimation Reagents Supervision of employees Systems engineering Teams Theory of Computation Work groups
Online-Zugang:	Volltext
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