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KNOWLEDGE-INTENSIVE BUSINESS SERVICES AS CO-PRODUCERS OF INNOVATION

HERTOG, PIM DEN·2000·International Journal of Innovation Management

Abstract

In the unfolding knowledge-based economy, services do matter. But while they are increasingly seen to play a pivotal role in innovation processes, there has been little systematic analysis of this role. This essay presents a four-dimensional model of (services) innovation, that points to the significance of such non-technological factors in innovation as new service concepts, client interfaces and service delivery system. The various roles of service firms in innovation processes are mapped out by identifying five basic service innovation patterns. This framework is used to make an analysis of the role played by knowledge-intensive business services (KIBS) in innovation. KIBS are seen to function as facilitator, carrier or source of innovation, and through their almost symbiotic relationship with client firms, some KIBS function as co-producers of innovation. It is further argued that, in addition to discrete and tangible forms of knowledge exchange, process-oriented and intangible forms of knowledge flows are crucial in such relationships. KIBS are hypothesised to be gradually developing into a "second knowledge infrastructure" in addition to the formal (public) "first knowledge infrastructure", though there is likelihood of cross-national variations in the spill-over effects from services innovation in and through KIBS, and in the degree to which KIBS are integrated with other economic activities. Finally, some implications for innovation management and innovation policy are discussed.

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Metadata

Authors
HERTOG, P. D.
Venue
International Journal of Innovation Management
Published
2000-12
Volume
04
Issue
04
Pages
491-528
ISSN
  • 1363-9196 (ISSN-L)
  • 1757-5877
OpenAlex
W4235430527
Cited by
855
References
0
FWCI
8.77
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.