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How Nascent Technology Entrepreneurs Organize: The Community Assembly Process

Authors: Nicolas Friederici;

How Nascent Technology Entrepreneurs Organize: The Community Assembly Process

Abstract

This paper asks how entrepreneurs organize, and how they come to be organized in communities. The paper reviews literature on regional entrepreneurial networks and organizing in incubators, and finds that prior research has alluded to the role of communities, but neglected to develop explicit theory on the origins of meso-level social structures. To build such theory, in-depth case study data (including 119 interviews with 133 participants) were collected during field studies in Kigali, Harare, and Accra from September-December 2014. Six entrepreneurial communities anchored in local coworking spaces are used as comparative case studies. The paper finds that coworking spaces are unique organizational actors, in that they enable community formation by working as social enclosures, locational fix points, and symbols of a purpose. Based on within-case process tracing and cross-case pattern matching, the paper then theorizes the assembly process: coworking spaces assemble previously distant and different actors into entrepreneurial communities. Assembly consists of three mechanisms: convening (creating occasions for interactions), interconnecting (matching complementary actors), and activating (stimulating mutual concern among community members). Assembly theory highlights the need for more studies of entrepreneurial organizing processes, and addresses important meso-level theory gaps in research on the coordination and organization of entrepreneurship.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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