Abstract

http://ssrn.com/abstract=991163
 
 

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Smart Business Networks (or, Let's Create 'Life' from Inert Information)


David A. Bray


University of Oxford; National Defense University - Information Resources Management College; Emory University - Department of Decision & Information Analysis


Smart Business Network Initiative (SBNi) Conference - Beijing, May 2008

Abstract:     
The Internet that we access isn't self-organizing; instead, it's relatively limited in its intelligent abilities and exists as a wonderful example as to how the processes of creation can quickly become cluttered and entropic. Human beings create and remix information streams, adding to the web. The promise with Web 2.0 was that human beings would organize all the clutter of the web; that human beings would provide the missing intelligence of networks. Alas, human beings have limited cognitive capabilities and the ever-growing amounts of information on the web probably will exceed our abilities to organize it. I suggest, as demonstrated by the Internet, there are iterative causalities (i.e., links) to its data, information, and knowledge. This gives hope that one day the Internet, and other smart business networks, will become capable of self-organizing itself without human intervention. Would such smart business networks then not become alive?

Number of Pages in PDF File: 16

Keywords: information systems, evolution, ecosystems, environments, adaptedness, survivability, intelligence

JEL Classification: D23, D70, D81, D83, O31

working papers series





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Date posted: June 5, 2007 ; Last revised: May 9, 2008

Suggested Citation

Bray, David A., Smart Business Networks (or, Let's Create 'Life' from Inert Information). Smart Business Network Initiative (SBNi) Conference - Beijing, May 2008. Available at SSRN: http://ssrn.com/abstract=991163 or http://dx.doi.org/10.2139/ssrn.991163

Contact Information

David A. Bray (Contact Author)
University of Oxford
United Kingdom
HOME PAGE: http://www.linkedin.com/in/dbray
National Defense University - Information Resources Management College ( email )
Washington, DC
Emory University - Department of Decision & Information Analysis
Atlanta, GA
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