A framework for scientific knowledge generation

Mariana van der Walt and Gideon de Wet

Knowledge Management Research & Practice, 2008, vol. 6, issue 2, 141-154

Abstract: This paper investigates the notional development of various approaches claiming to add value in knowledge generation during the 20th century, with the aim to identify what it is that enhances productiveness in knowledge generation. Observing that knowledge generation is a complex phenomenon, an approach is used for the investigation that was developed specifically to study un-deterministic complex systems. A list of salient features for scientific knowledge generation is presented as a result. In addition to these features, various problem types are identified from literature. These two are then integrated to provide a proposed framework for scientific knowledge generation, which is trans-disciplinary and useful for scientific problem-solving in a pluralist reality. A case study illustrates the implementation of this framework.

Date: 2008
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1057/palgrave.kmrp.8500166 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:6:y:2008:i:2:p:141-154

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20

DOI: 10.1057/palgrave.kmrp.8500166

Access Statistics for this article

Knowledge Management Research & Practice is currently edited by Giovanni Schiuma

More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().