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 market are sufficiently stable.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Santa Fe Institute in its series Working Papers with number 00-02-010.
Date of creation: Feb 2000
Date of revision:
Contact details of provider:
Postal: 1399 Hyde Park Road, Santa Fe, New Mexico 87501
Web page: http://www.santafe.edu/sfi/publications/working-papers.html
More information through EDIRC
Decentralization; organization; innovation.;
Other versions of this item:
- Myong-Hun Chang & Joseph E. Harrington, 2000. "Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System," Management Science, INFORMS, vol. 46(11), pages 1427-1440, November.
- 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.
- NEP-ALL-2000-02-28 (All new papers)
- NEP-CMP-2000-03-12 (Computational Economics)
- NEP-IND-2000-02-28 (Industrial Organization)
- NEP-MIC-2000-02-28 (Microeconomics)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Nobuyuki Hanaki & Jason Barr, 2005.
"Firm Structure, Search and Environmental Complexity,"
Computing in Economics and Finance 2005
222, Society for Computational Economics.
- Jason Barr & Nobuyuki Hanaki, 2005. "Firm Structure, Search and Environmental Complexity," Working Papers Rutgers University, Newark 2005-007, Department of Economics, Rutgers University, Newark.
- Lichtenthaler, Ulrich, 2010. "Organizing for external technology exploitation in diversified firms," Journal of Business Research, Elsevier, vol. 63(11), pages 1245-1253, November.
- Giannoccaro, Ilaria, 2011. "Assessing the influence of the organization in the supply chain management using NK simulation," International Journal of Production Economics, Elsevier, vol. 131(1), pages 263-272, May.
- Chowdhury, Sanjib, 2011. "The moderating effects of customer driven complexity on the structure and growth relationship in young firms," Journal of Business Venturing, Elsevier, vol. 26(3), pages 306-320, May.
- He, Zhou & Wang, Shouyang & Cheng, T.C.E., 2013. "Competition and evolution in multi-product supply chains: An agent-based retailer model," International Journal of Production Economics, Elsevier, vol. 146(1), pages 325-336.
- Chang, Myong-Hun & Harrington, Joseph Jr., 2006.
"Agent-Based Models of Organizations,"
Handbook of Computational Economics,
in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.