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Information, Incentives and Decentralized Decision-Making in a Bayesian Framework

 

作者: AnandalingamG.,   ChatterjeeKalyan,   GangollyJagdish S.,  

 

期刊: Journal of the Operational Research Society  (Taylor Available online 1987)
卷期: Volume 38, issue 6  

页码: 499-508

 

ISSN:0160-5682

 

年代: 1987

 

DOI:10.1057/jors.1987.87

 

出版商: Taylor&Francis

 

关键词: communications;decision;organization

 

数据来源: Taylor

 

摘要:

AbstractThis paper examines the problem of choosing an organization structure for decision-making for two-level organizations under various information conditions. Decentralized decision-making (DDM), centralized decision-making with reporting by division (CDRD), and centralized decision-making (CDM) are considered. The information conditions pertain to the observability of states and actions. It is shown that if the party not making the decisions can infer the choice of action from theex postknowledge of the state, then DDM and CDRD are essentially equivalent in that it is possible to devise optimal incentive schemes in both cases. If, however, the action choice cannot be inferred, then CDRD is at least as preferred as DDM by the centre (regulator). Ifex postobservation (or inference) of the state can be made only by the party making the decision, we show that the centre (regulator) prefers CDRD to DDM. For this case, we derive an incentive scheme which elicits truthful information from the division (regulated entity). Finally, the incentive schemes are applied to the problem of regulating an industry that pollutes the environment.

 

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