Advanced Search
MyIDEAS: Login to save this paper or follow this series

Evaluating social science and humanities knowledge production: an exploratory analysis of dynamics in science systems


Author Info

  • Hemert, P. van

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Nijkamp, P.
  • Verbraak, J.


Knowledge is gaining increasing importance in modern-day society as a factor of production and, ultimately, growth. This paper explores the dynamics in university knowledge production and its effect on the state of university-industry-policy exchange in the Netherlands. Science systems are said to be in transformation. The university has evolved from performing conventional research and education functions to serving as an innovation-promoting knowledge hub; dynamics that have received mixed reactions. Social Sciences and Humanities (SSH) assume a special position, insofar that their focus seems primarily on conventional research and education functions, and not directly on (commercial) valorisation. Societal changes are, however, pressing for a reconsideration of the role of SSH. In our paper we distinguish between three important new movements that seem to affect SSH. It is believed that these movements that already have some impact today will considerably influence SSH in the future. These developments are: further differentiation, synthesis between the various sub-disciplines of SSH and natural sciences, and shifts in paradigms. The aims of this paper are twofold: 1) assess what is believed to be a most likely development of SSH by means of discovery of relevant subsets of factors influencing university knowledge production; and 2) discover whether the knowledge production factors show characteristics of a general development similarly to the ‘Mode 2’ concept introduced by Gibbons et al. (1994). By means of 22 semi-structured personal interviews with key representatives from the business, university and the policy sector, a systematic qualitative database was created. Our explanatory framework employs an artificial intelligence method, viz. rough set analysis. On the basis of these results, we find that a small minority of the respondents prefers a closer relationship of SSH with society, government and industry,

Download Info

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.
File URL:
Our checks indicate that this address may not be valid because: 500 Failed to connect to FTP server Net::FTP: Bad hostname ''. If this is indeed the case, please notify (R. Dam)
Download Restriction: no

Bibliographic Info

Paper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0013.

as in new window
Date of creation: 2009
Date of revision:
Handle: RePEc:dgr:vuarem:2009-13

Contact details of provider:
Web page:

Related research

Keywords: science systems; knowledge production; Mode 2; SSH; rough set analysis; artificial intelligence;

Other versions of this item:


References listed on IDEAS
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.:
as in new window
  1. Hessels, Laurens K. & van Lente, Harro, 2008. "Re-thinking new knowledge production: A literature review and a research agenda," Research Policy, Elsevier, vol. 37(4), pages 740-760, May.
  2. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
Full references (including those not matched with items on IDEAS)



This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


Access and download statistics


When requesting a correction, please mention this item's handle: RePEc:dgr:vuarem:2009-13. 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: (R. Dam).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.