Web indicators for complex innovation systems
The Web and innovation systems are interacting complex systems that impact each other. Web indicators used to inform decision-makers about the impact they are having on each must be reproducible and relevant. Web metrics research is young and best-practice methodologies for producing robust indicators are evolving. This study describes a methodology for producing robust indicators of the web presence of the European and Canadian innovation systems. It demonstrates that the emergent properties and scaling characteristics expected of complex systems are captured by these indicators. It illustrates how these indicators can be used to measure the amount of recognition a nation or province's web presence receives from other nations and provinces in their innovation systems. Copyright , Beech Tree Publishing.
If 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 15 (2006)
Issue (Month): 2 (August)
|Contact details of provider:|| |
When requesting a correction, please mention this item's handle: RePEc:oup:rseval:v:15:y:2006:i:2:p:85-95. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.