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Allocation of Resources in Large Teams
Kenneth J. Arrow,Roy Radner +1 more
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This article is published in Econometrica.The article was published on 1979-03-01. It has received 69 citations till now.read more
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Organizational Learning and Personnel Turnover
TL;DR: In this article, the impact of personnel turnover on an organization's ability to learn, and hence on its ultimate performance, is explored for organizations with different structures and different tasks, where a model of organizational decision making is presented where: 1 the organization is faced with a continuous sequence of similar but not identical problems; each problem is so complex that no one person has access to all of the information nor the skill to comprehend all of information necessary to make the decision.
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Team decision theory and information structures
TL;DR: This tutorial-survey paper introduces the problems of decentralized statistical decision making (team theory) where the decision makers have access to different information concerning the underlying uncertainties.
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Computational and mathematical organization theory: perspective and directions
TL;DR: There is increased activity in the subareas of organizations and information technology and organizational evolution and change, which may be made possible by combining network analysis techniques with an information processing approach to organizations.
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On Imperfect Information and Optimal Pollution Control
TL;DR: In this paper, a simple model of pollution control is presented, where the number of rounds of communication between the planner and the rest of the organization is classified in terms of the value of establishing additional information channels.
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Journal ArticleDOI
Allocation of resources in a team
Theodore Groves,Roy Radner +1 more
TL;DR: In this article, the authors studied the informational efficiency of "price" and "demand" messages in a resource allocation mechanism with the aid of the theory of teams, and discussed a simple model in an attempt to examine explicitly these problems of uncertainty and limited information.