How network-based incubation helps start-up performance: a systematic review against the background of management theories
By Chris P. Eveleens, Frank J. van Rijnsoever, Eva Niesten. 2017
151 citations recorded by the source corpus.
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.
Subfields: Accounting, Management of Technology and Innovation, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/8f2d8cdc83b299a4d0427526c030eabc59a9427c
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In Accounting
In Management of Technology and Innovation
In Organizational Behavior and Human Resource Management
Citations in the corpus
- Meeting, mating, and intermediating: How incubators can overcome weak network problems in entrepreneurial ecosystems (2020, methodology): “formation processes in a FSN, we have strengthened the theoretical basis of research on networked incubation and startup support (Bruneel et al., 2012; Eveleens et al., 2017; Theodorakopoulos et al., 2014).”