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To solve or to occupy: Addressing hybrid bottlenecks in innovation ecosystems
Graz University of Technology, Kopernikusgasse 24/IV, 8010 Graz, Austria.ORCID iD: 0000-0002-9085-993X
Graz University of Technology, Kopernikusgasse 24/IV, 8010 Graz, Austria.
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Management & Technology.ORCID iD: 0000-0001-9277-0288
2025 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 212, article id 123982Article in journal (Refereed) Published
Abstract [en]

Bottlenecks have recently emerged as one of the key objects of inquiry in research on innovation ecosystems. The broader literature is split into two streams on technological and strategic bottlenecks, relying on the implicit assumption that strategic bottlenecks emerge from technological bottlenecks. In practice, however, many ecosystems get “stuck” in the transition from technological to strategic bottlenecks. This results in the formation of hybrid bottlenecks that combine the features of both technological and strategic bottlenecks. The existing recommendations regarding strategies that can be used to address bottlenecks fail to explain actors' strategic responses in these situations. We address this gap by conducting an exploratory multiple case study of strategies actors apply to address the hybrid bottleneck of public charging infrastructure in the innovation ecosystem of battery electric vehicles. We combine resource dependence theory and resource-based theory to show how actors combine different strategies to address hybrid bottlenecks based on how heavily they depend on the availability of bottleneck resources to create value in the innovation ecosystem, their expectations about the future value of these resources, and the ambiguity and uncertainty of the ecosystem's future evolution.

Place, publisher, year, edition, pages
Elsevier BV , 2025. Vol. 212, article id 123982
Keywords [en]
Ecosystem, Bottleneck, Resource dependence theory, Resource-based theory, Bottleneck resources
National Category
Industrial engineering and management
Research subject
Industrial Economics and Management
Identifiers
URN: urn:nbn:se:kth:diva-364363DOI: 10.1016/j.techfore.2025.123982ISI: 001398512300001Scopus ID: 2-s2.0-85214508261OAI: oai:DiVA.org:kth-364363DiVA, id: diva2:1967394
Note

QC 20250612

Available from: 2025-06-11 Created: 2025-06-11 Last updated: 2025-06-12Bibliographically approved

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Engwall, Mats

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