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Cited by 345

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

INTERMEDIARIES, USERS AND SOCIAL LEARNING IN TECHNOLOGICAL INNOVATION

STEWART, JAMES, HYYSALO, SAMPSA·2008·International Journal of Innovation Management

Abstract

This paper explores the role of intermediaries in the development and appropriation of new technologies. We focus on intermediaries that facilitate user innovation, and the linking of user innovation into supply side activities. We review findings on intermediaries in some of our studies and other available literature to build a framework to explore of how intermediaries work in making innovation happen. We make sense of these processes by taking a long-term view of the dynamics of technology and market development using the social learning in technological innovation (SLTI) framework. Our primary concern is with innovation intermediaries and their core roles of configuring, facilitating and brokering technologies, uses and relationships in uncertain and emerging markets. We show the range of positions and influence they have along the supply-use axis in a number of different innovation contexts, and how they are able to bridge the user-developer innovation domains. Equipped with these insights, we explore in more depth how intermediaries affect the shape of new information and communication technologies and the importance of identifying and nurturing the user-side intermediaries that are crucial to innovation success.

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Registry

Crossref · 10.1142/s1363919608002035

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Metadata

Authors
STEWART, J., & HYYSALO, S.
Venue
International Journal of Innovation Management
Published
2008-09
Volume
12
Issue
03
Pages
295-325
ISSN
  • 1363-9196 (ISSN-L)
  • 1757-5877
OpenAlex
W2149492247
Cited by
345
References
6
FWCI
14.04
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.