Real-Time Decentralized Information Processing as a Model of Organizations with Boundedly Rational Agents

Timothy van Zandt

The Review of Economic Studies, 1999, vol. 66, issue 3, 633-658

Abstract: This paper studies the properties of real-time decentralized information processing as a model of human information processing in organizations. Real-time decentralized processing—which models the computation of decision rules in a temporal decision problem by members of an organization—captures both the cost of computation in terms of the members' time and the constraints imposed by computational delay on the use of recent information. Unlike a batch processing model, it has no single measure of delay because decisions are computed from data of heterogeneous lags. Furthermore, decentralization does not unambiguously reduce delay, because processing a message precludes processing current data.

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (68)

Downloads: (external link)
http://hdl.handle.net/10.1111/1467-937X.00101 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:restud:v:66:y:1999:i:3:p:633-658.

Access Statistics for this article

The Review of Economic Studies is currently edited by Thomas Chaney, Xavier d’Haultfoeuille, Andrea Galeotti, Bård Harstad, Nir Jaimovich, Katrine Loken, Elias Papaioannou, Vincent Sterk and Noam Yuchtman

More articles in The Review of Economic Studies from Review of Economic Studies Ltd
Bibliographic data for series maintained by Oxford University Press ().