original papers : Returns to scale in one-shot information processing when hours count
Abstract
The decentralized information processing approach pioneered by Radner and Van Zandt endogenously determines the optimal hierarchy for decision making within an organization. The simplest information processing model is the one-shot problem (one set of information to process) which serves as the testing ground for ever richer descriptions of managers and their tasks. Meagher and Van Zandt observed that an hours-based measure should be used for calculating managerial costs rather than the fixed cost per employee used by Radner. Surprisingly they show that the set of efficient hierarchies is equivalent under the two different measures. In this paper we show that using the hours-based measure can give quite different results for returns to scale than were found by Radner. We find constant returns to scale over a wide range of delay costs, whereas Radner found increasing returns to scale: In other words, costs rise proportionally with the size of the firm's information problem. Constant returns to scale implies that distortions in firm size will not arise from the need for hierarchical organization per se, but rather from organizational issues from the theory of the firm, such as incentives and abilities.Download Info
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Bibliographic Info
Article provided by Springer in its journal Review of Economic Design.
Volume (Year): 6 (2001)
Issue (Month): 1 ()
Pages: 113-124
Note: Received: 20 May 1999 / Accepted: 12 May 2000
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Related research
Keywords: Organizations; returns to scale; wage costs; parallel processing;Find related papers by JEL classification:
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
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