Upgrading of Symbolic and Synthetic Knowledge Bases: Evidence from the Chinese Automotive and Construction Industries

Erwin van Tuijl, Koen Dittrich and Jan van der Borg

Industry and Innovation, 2016, vol. 23, issue 3, 276-293

Abstract: This paper deals with the question of how upgrading of the symbolic and synthetic knowledge bases takes place and, by doing so, we contribute to the upgrading literature by linking upgrading with the concept of the differentiated knowledge bases. We discern a number of upgrading mechanisms, and based on empirical evidence from the construction industry and the automotive industry in China, we show that the main upgrading mechanisms for symbolic knowledge include “learning-by-interacting in project teams” and “monitoring”, while upgrading of synthetic knowledge takes place via “technology transfer” and “learning-by-doing and-using”. “Mobility” and “on-the-job training and learning in Transnational Corporations” are the main upgrading mechanisms contributing to the development of both knowledge bases.

Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/13662716.2015.1129316 (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:23:y:2016:i:3:p:276-293

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIAI20

DOI: 10.1080/13662716.2015.1129316

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 ().