Organization of Innovation in a Multi-Unit Firm: Coordinating Adaptive Search on Multiple Rugged Landscapes
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
|Date of creation:||Nov 2000|
|Date of revision:|
|Contact details of provider:|| Postal: 3400 North Charles Street Baltimore, MD 21218|
Web page: http://www.econ.jhu.edu
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:jhu:papers:442. 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: (None)The email address of this maintainer does not seem to be valid anymore. Please ask None to update the entry or send us the correct email address
If references are entirely missing, you can add them using this form.