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Cited by 382

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.

Open innovation in SMEs: Exploring inter-organizational relationships in an ecosystem

Open access
Radziwon, Agnieszka, Bogers, Marcel·2019·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2018.04.021
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Abstract

Small- and medium-sized enterprises (SMEs) face the inherent tension of depending on external partners to complement their internal innovation activities while having limited resources to manage such open innovation processes. Given the importance of collaborative efforts between multiple stakeholders, we address the open innovation challenges from the SME perspective at the business-ecosystem level. We present an inductive case study of a particular regional ecosystem and focus on the inter-organizational collaboration between SMEs and other stakeholders in the ecosystem. With this focus, we explore how SMEs perceive, organize, and manage open innovation through strong collaborative ties with other ecosystem members. We identify a particular set of challenges for the SMEs due to the misalignment between their business model and that of their ecosystem. Specific findings include the link between innovation type expressed by diverging understandings of the notion of innovation across the ecosystem and the innovation form (here, open innovation), which should be organized and managed on multiple levels of analysis (SME, inter-organizational, and ecosystem). These findings highlight specific attention points for managing and developing open innovation in a regional business ecosystem, and they contribute both to the business-ecosystem literature as well as open innovation literature.

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Metadata

Authors
Radziwon, A., & Bogers, M.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2019-09
Volume
146
Pages
573-587
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2018.04.021
OpenAlex
W2801574967
Cited by
382
References
102
FWCI
46.09
Type
journal article
Language
en
Open access
gold

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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).

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