Knowledge Bases in Worlds of Production: The Case of the Food Industry
Jesper Manniche and
Stefania Testa
Industry and Innovation, 2010, vol. 17, issue 3, 263-284
Abstract:
This paper aims to contribute to research on the knowledge dimension of industrial innovation and competitive advantage by combining two conceptual constructs that are applied in growing but separate bodies of research. One, the so-called “SAS model”, regards knowledge bases of firms and distinguishes between Synthetic, Analytical and Symbolic knowledge. The second, the “Worlds of Production” construct, classifies firms according to differences in technologies and markets and outlines four possible action frameworks within which companies operate and innovate. Combining these conceptualizations seems to enrich analyses within both perspectives and provide a useful framework for studies on knowledge dynamics in different economic contexts. Empirical evidence regarding knowledge dynamics of two “alternative food” producers is presented, indicating that symbolic knowledge which in current literature is mainly delimited and described within cultural industries, may also be relevant for other industries such as the alternative food sub-sector.
Keywords: Knowledge bases; symbolic knowledge; synthetic knowledge; Worlds of Production; food industry; alternative food (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/13662711003790627 (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:indinn:v:17:y:2010:i:3:p:263-284
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIAI20
DOI: 10.1080/13662711003790627
Access Statistics for this article
Industry and Innovation is currently edited by Associate Professor Mark Lorenzen
More articles in Industry and Innovation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().