Real-Time Decentralized Information Processing as a Model of Organizations with Boundedly Rational Agents
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 66 (1999)
Issue (Month): 3 ()
|Contact details of provider:|| |
When requesting a correction, please mention this item's handle: RePEc:oup:restud:v:66:y:1999:i:3:p:633-658.. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.