Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System
AbstractA computational model of a retail chain is developed in which store managers continually search for better practices. Search takes place over a rugged landscape defined over the space of store practices. The main objective of this research is to determine how the amount of discretion given to store managers as to how they run their stores influences the rate of innovation at the store level. We find that greater decentralization enhances firm performance when stores' markets are sufficiently different, the horizon is sufficiently long, and markets are sufficiently stable.
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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 46 (2000)
Issue (Month): 11 (November)
organizational structure; decentralization; innovation; retail chain;
Other versions of this item:
- Myong-Hun Chang & Joseph Harrington, 2000. "Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System," Econometric Society World Congress 2000 Contributed Papers 0860, Econometric Society.
- Myong-Hun Chang & Joseph E. Harrington Jr., 2000. "Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System," Working Papers 00-02-010, Santa Fe Institute.
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- Jason Barr & Nobuyuki Hanaki, 2005. "Firm Structure, Search and Environmental Complexity," Working Papers Rutgers University, Newark 2005-007, Department of Economics, Rutgers University, Newark.
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