Organization of Innovation in a Multi-Unit Firm: Coordinating Adaptive Search on Multiple Rugged Landscapes
Myong-Hun Chang () and
Joseph Harrington ()
Economics Working Paper Archive from The Johns Hopkins University,Department of Economics
In Chang and Harrington (2000a) a computational model of a multi-unit firm is developed in which unit managers continually search for better practices Search takes place over a rugged landscape defined over the space of unit practices There it is shown that a more centralized organization is optimal when markets are not too different and the horizon is not too long The robustness of those results are explored here with respect to the shape of the landscape In particular we find that centralization does better when the search space is larger and there is a stronger correlation in a consumer's preferences across different dimensions A richer description of comparative dynamics is also provided
References: Add references at CitEc
Citations: View citations in EconPapers (6) Track citations by RSS feed
Downloads: (external link)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://econ.jhu.edu/wp-content/uploads/pdf/papers/CybOrg-Aix.pdf [301 Moved Permanently]--> http://krieger2.jhu.edu/economics/wp-content/uploads/pdf/papers/CybOrg-Aix.pdf [301 Moved Permanently]--> https://krieger2.jhu.edu/economics/wp-content/uploads/pdf/papers/CybOrg-Aix.pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:jhu:papers:442
Access Statistics for this paper
More papers in Economics Working Paper Archive from The Johns Hopkins University,Department of Economics 3400 North Charles Street Baltimore, MD 21218. Contact information at EDIRC.
Bibliographic data for series maintained by None (). This e-mail address is bad, please contact .