Startseite The Mechanism of Entrepreneurs’ Social Networks on Innovative Startups’ Innovation Performance Considering the Moderating Effect of the Entrepreneurial Competence and Motivation
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The Mechanism of Entrepreneurs’ Social Networks on Innovative Startups’ Innovation Performance Considering the Moderating Effect of the Entrepreneurial Competence and Motivation

  • Junguang Gao , Yuan Cheng , Hui He EMAIL logo und Fuzhen Gu
Veröffentlicht/Copyright: 5. Juli 2021

Abstract

Innovative startups can bring many benefits to society. Drawing on the social network theory (SNT) and resource-based view (RBV), with mix methods approach, this paper argues that as the primary path for startups acquiring external resources, social networks are beneficial to improving innovative startups’ innovation performance. Using a large amount of data from GEM (Global Entrepreneurship Monitor), this paper first runs correlation analysis and regression analysis to empirically analyze entrepreneurs’ social networks’ impact on China’s innovative startups’ innovation performance. The results show that both formal and informal social networks are positively correlated with innovative startups’ innovation performance. Then we consider the moderating effect of entrepreneurial competence and motivation. And the results show both entrepreneurial competence and motivation positively moderate the correlation above. Second, to explore the above correlation’s internal mechanism, we conduct semi-structured interviews with 14 entrepreneurs. Drawing on the resource management theory (RMT) and the process of cross-border knowledge search and assimilation, the mechanism model of entrepreneurs’ social networks on startups’ innovation performance is proposed through content analysis.


Corresponding author: Hui He, Business School, Beijing Technology and Business University, Beijing, China, E-mail:

Funding source: Beijing Social Science Foundation 10.13039/100017414

Award Identifier / Grant number: 17GLB011

Funding source: Beijing Natural Science Foundation 10.13039/501100005089

Award Identifier / Grant number: 9202004

  1. Research funding: The study was funded by the “Beijing Social Science Foundation” under the grant “17GLB011” and by the “Beijing Natural Science Foundation” under the grant “9202004”.

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Received: 2020-12-01
Accepted: 2021-05-11
Published Online: 2021-07-05

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