This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Smart Business Networks Design and Business Genetics

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Pau, L-F. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

Additional information is available for the following registered author(s):

Abstract

With the emergence of smart business networks, agile networks, etc. as important research areas in management, for all the attractiveness of these concepts, a major issue remains around their design and the selection rules. While smart business networks should provide advantages due to the quick connect of business partners for selected functions in a process common to several parties, literature does not provide constructive methods whereby the selection of temporary partners and functions can be done. Most discussions only rely solely on human judgment. This paper introduces both computational geometry, and genetic programming, as systematic methods whereby to display possible partnerships, and also whereby to plan for their effect on the organizations or functions of those involved. The two techniques are also been put in the context of emergence theory. Business maps address the first challenge with the use of Voronoï diagrams. Cellular automata, with genetic algorithms mimicking living bodies, address the second challenge. This paper does not include experimental results, which have been derived in the high tech area to determine especially the adequateness of systems integrators to set up joint ventures with smaller technology suppliers.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://hdl.handle.net/1765/7319
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2006-002-LIS Revision_Date: 2009-07-29.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 01 Feb 2006
Date of revision:
Handle: RePEc:dgr:eureri:30007959

Contact details of provider:
Web page: http://www.erim.eur.nl/

For technical questions regarding this item, or to correct its listing, contact: (ERIM Series Handler at the ERIM Office).

Related research
Keywords: Smart Business Networks; Design of Smart business Network; Genetics; Cellular Automata; Emergence Theory; Computational Geometry; Voronoï; Smart Business Maps; Business Genetics; Technology Management;

This paper has been announced in the following NEP Reports:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
  1. Pau, L-F., 2007. "Discovering the Dynamics of Smart Business Networks," Research Paper ERS-2007-081-LIS Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
Statistics
Access and download statistics

Did you know? Over 80% of the top 1000 economists are registered on RePEc.

This page was last updated on 2009-12-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.