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Management Science
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SSRN Electronic Journal
Article . 2021 . Peer-reviewed
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Management Science
Article . 2021 . Peer-reviewed
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DBLP
Article . 2021
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EconStor
Research . 2021
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Delegation to a Group

Authors: Sebastian Fehrler; Moritz Janas;
APC: 2,955.85 EUR

Delegation to a Group

Abstract

We study the choice of a principal to either delegate a decision to a group of careerist experts or to consult them individually and keep the decision-making power. Our model predicts a trade-off between information acquisition and information aggregation. On the one hand, the expected benefit from being informed is larger in case the experts are consulted individually. Hence, the experts either acquire the same or a larger amount of information, depending on the cost of information, than in case of delegation. On the other hand, any acquired information is better aggregated in the case of delegation, in which experts can deliberate secretly. To test the model’s key predictions, we run an experiment. The results from the laboratory confirm the predicted trade-off despite some deviations from theory on the individual level. This paper was accepted by Yan Chen, decision analysis.

Country
Germany
Keywords

expert advice, delegation, info:eu-repo/classification/ddc/330, ddc:330, committees, decision rights, strategic communication, D71, group decision-making, C92, D23

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
bronze