How network-based incubation helps start-up performance: a systematic review against the background of management theories
Open accessAbstract
The literature on how network-based incubation influences the performance of technology-based start-ups has recently grown considerably and provided valuable insights. However, at the same time this literature has become quite fragmented, inconsistently conceptualised, and theoretically underdeveloped. Therefore, this article uses three management theories to structure the literature, improve the theoretical underpinning and develop an agenda for further research. The management theories are the resource-based view, knowledge-based view, organisational learning, and social capital theory. We find that the network-based incubation literature has convincingly shown that network-based incubation provides start-ups with resources, capabilities, knowledge, learning and social capital. However, the influence of these intermediary benefits on start-up performance is ambiguous. There is a considerable opportunity to advance the network-based incubation literature with contemporary insights from management theories. We propose an agenda for further research on network-based incubation that leads to a fine-grained model of the mechanisms and impact of network-based incubation that goes beyond taken for granted assumptions about the positive impact of network-based incubation.
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Each entrepreneurial ecosystem is a site of intellectual cross-pollination between the ecosystem's participants, who share knowledge through both informal and formal networks such as incubators and accelerators.
“Importantly, each EE is a site of intellectual cross-pollination between the ecosystem's participants, who share knowledge through both informal and formal networks such as incubators and accelerators (Bank et al., 2017;Eveleens et al., 2017;van Rijnsoever, 2020).”
From Sustainability startups and where to find them: Investigating the share of sustainability startups across entrepreneurial ecosystems and the causal drivers of differences (2021) · cites this paper as Eveleens et al., 2017
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Tiba, S., van Rijnsoever, F. J., & Hekkert, M. P. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127054 · Cited by 95 · see citing works
Self-citation
- Authors
- Eveleens, C. P., van Rijnsoever, F. J., & Niesten, E. M. M. I.
- Affiliations
- Utrecht University (NL)
- University of Manchester (GB)
- Corresponding author
- Eveleens, Chris P.
- Venue
- The Journal of Technology Transfer
- Published
- 2016-10-04
- Volume
- 42
- Issue
- 3
- Pages
- 676-713
- ISSN
- 0892-9912 (ISSN-L)
- 1573-7047
- OpenAlex
- W2529741665
- Cited by
- 162
- References
- 11
- Citations by year
- 2026: 13 · 2025: 11 · 2024: 25 · 2023: 23 · 2022: 12 · 2021: 26 · 2020: 21 · 2019: 11 · 2018: 12 · 2017: 6 · 2016: 2
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- The Journal of Technology Transfer (publishedVersion, cc-by)
- Research Explorer (The University of Manchester) (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Funders
- EIT Climate KIC
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Social Sciences › Business, Management and Accounting › Accounting › Private Equity and Venture Capital
- Keywords
- new venture performance, technology startups, resource-based view, knowledge-based view, organizational learning, social capital theory, management theory
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