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Decentralized Organizational Learning: An Experimental Investigation

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Author Info
John Duffy
Andreas Blume
April Franco

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Abstract

We experimentally study decentralized organizational learning. Our objective is to understand how learning members of an organization cope with the confounding effects of the simultaneous learning of others. We test the predictions of a stylized, rational agent model of organizational learning that provides sharp predictions as to how learning members of an organization might cope with the simultaneous learning of others as a function of fundamental variables, e.g., firm size and the discount factor. While the problem of learning while others are learning is quite difficult, we find support for the comparative static predictions of the model's unique symmetric equilibrium.

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Paper provided by University of Pittsburgh, Department of Economics in its series Working Papers with number 310.

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Date of creation: May 2007
Date of revision: Jul 2008
Publication status: Forthcoming in the American Economic Review
Handle: RePEc:pit:wpaper:310

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Find related papers by JEL classification:
C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information

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