Discovering the Dynamics of Smart Business Networks
AbstractIn an earlier paper ,was discussed the necessary evolution from smart business networks, as based on process need satisfaction and governance, into business genetics  based on strategic bonds or decay and opportunistic complementarities. This paper will describe an approach and diffusion algorithms whereby to discover the dynamics of emergent smart business network structures and their performance in view of collaboration patterns over time. Some real life early analyses of dynamics are discussed based on cases and date from the high tech sector. Lessons learnt from such cases are also given on overall smart network dynamics with respect to local interaction strategies, as modelled like in business genetics by individual partner profiles, goals and constraints. It shows the weakness of static "business operating systems", as well as the possibly destabilizing clustering effects amongst nodes linked to filtering, evaluation and own preferences.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
Bibliographic InfoPaper 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-2007-081-LIS.
Date of creation: 03 Dec 2007
Date of revision:
Contact details of provider:
Web page: http://www.erim.eur.nl/
dynamics; network performance; smart business networks; SBN; business genetics;
Other versions of this item:
- Pau, Louis-François, 2007. "Discovering the dynamics of smart business networks," MPRA Paper 31020, University Library of Munich, Germany.
- D02 - Microeconomics - - General - - - Institutions: Design, Formation, and Operations
- D4 - Microeconomics - - Market Structure and Pricing
- J54 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Producer Cooperatives; Labor Managed Firms
- L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
- L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
- D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
- D7 - Microeconomics - - Analysis of Collective Decision-Making
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-02-02 (All new papers)
- NEP-CSE-2008-02-02 (Economics of Strategic Management)
- NEP-NET-2008-02-02 (Network Economics)
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.:
- Pau, L-F., 2006. "Smart Business Networks Design and Business Genetics," Research Paper ERS-2006-002-LIS, 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.
- Allen, Franklin & Gale, Douglas, 1998.
98-33, C.V. Starr Center for Applied Economics, New York University.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ERIM Series Handler at the ERIM Office).
If references are entirely missing, you can add them using this form.