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Cited by 394

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Innovation, entrepreneurial, knowledge, and business ecosystems: Old wine in new bottles?

Open access
Scaringella, Laurent, Radziwon, Agnieszka·2018·Technological Forecasting and Social Change

Abstract

Rooted in the territorial approach, this theoretical paper offers a systematic literature review (SLR) of ecosystems based on a selection of 104 articles and books and their archetypes. First, we identify and discuss the four main types of ecosystems – business, innovation, entrepreneurial, and knowledge ecosystems – and indicate the presence of other transversal concepts. Second, we provide an overview of related and well-established theories from the territorial approach that have been largely omitted although they are ecosystem archetypes. Third, we identify the invariants across the four diverging streams from the ecosystem approach and the seven diverging streams from the territorial approach. Finally, we propose a research framework based on the comparison between key invariants from both approaches and discuss their similarities and differences that could serve as a foundation for future empirical research. This study therefore links the ecosystem and territorial approaches under the complex evolutionary system umbrella by creating a theoretical framework that reflects the complex interconnection between models, theories, and emerging concepts.

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Crossref · 10.1016/j.techfore.2017.09.023

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Metadata

Authors
Scaringella, L., & Radziwon, A.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2018-11
Volume
136
Pages
59-87
ISSN
0040-1625 (ISSN-L)
OpenAlex
W2770500514
Cited by
394
References
9
FWCI
29.53
Type
journal article
Language
en
Open access
gold

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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.