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Network Effects and Microenterprises: An Empirical Analysis of Microenterprises in China

Authors: Na Zou;

Network Effects and Microenterprises: An Empirical Analysis of Microenterprises in China

Abstract

Social networks play a crucial role in entrepreneurial processes and outcomes. However, little is known about the impact of social networks on microenterprises’ business performance. Addressing this gap, I focus on two dimensions of social networks, namely network size and resources embedded in a social network. Theoretically, combining insights from strategy research highlighting strategic needs as a determinant for external resource acquisition and the resource-based view of the firm suggesting that acquiring complementary resources can be a source of competitive advantage, I theorize why micro-entrepreneurs need to acquire external resources from their social networks, and why and how acquiring external resources are beneficial for their business performance. Empirically, I investigate the social network-performance relationship in the microenterprises context based on a dataset of 200 stratified randomly sampled Chinese micro-entrepreneurs in Shanghai. While the results suggest that micro-entrepreneurs’ network size per se does not relate to their business performance, I show that micro-entrepreneurs who can access to more varieties of resources embedded in their social networks tend to report a higher profit in a typical month. Furthermore, I find that micro-entrepreneurs whose external resources are more equally distributed across network contacts are associated with better business performance.

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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!
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Average
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