Quotation Tödtling, Franz, Grillitsch, Markus. 2015. Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?. European Planning Studies 23 (9): 1741-1758.




The knowledge base concept in the past has often been applied in its ´pure´ form, i.e. it was assumed that there are dominant knowledge bases in particular sectors and firms, that shape the knowledge- and innovation process and related networks. For ´analytical sectors´ such as biotech it has been argued that codified knowledge generated by universities and R&D organisations are key for innovation, whereas ´synthetic sectors´ such as machinery were seen to innovate more incrementally by recombining existing knowledge often drawn from suppliers or service firms. Empirical literature partly has confirmed these basic patters, but also has demonstrated that more complex knowledge processes are underlying these overly schematic expectations. In particular, it was argued more recently that combinations of different knowledge bases might enhance the innovation performance of firms. This implies that innovation processes e.g. in ´analytical sectors´ might benefit not just from new and basic knowledge generated by research, but also from recombining existing and applied knowledge or by drawing on symbolic knowledge. The same argument for the relevance of combinatorial knowledge bases applies for ´synthetic´ and ´symbolic sectors´, but in different forms. The paper investigates if the reliance on combinatorial knowledge leads to a better innovation performance than the use of more narrow knowledge bases.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal European Planning Studies
Citation Index SSCI
Language English
Title Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?
Volume 23
Number 9
Year 2015
Page from 1741
Page to 1758
Reviewed? Y
URL http://dx.doi.org/10.1080/09654313.2015.1056773


Constructing Regional Advantage: Towards State-of -the-Art Regional Innovation System Policies in Europe
Tödtling, Franz (Details)
Grillitsch, Markus (Former researcher)
Institute for Multi-Level Governance and Development IN (Details)
Research Institute for Spatial and Real Estate Economics FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5300 Economics (Details)
5335 Political economic theory (Details)
5350 Innovation research (Details)
5618 Regional economy (Details)
5912 Social sciences (interdisciplinary) (Details)
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