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

Gao Junguang, Cheng Yuan, He Hui () and Gu Fuzhen
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Gao Junguang: Business School, Beijing Technology and Business University, Beijing, China
Cheng Yuan: Business School, Beijing Technology and Business University, Beijing, China
He Hui: Business School, Beijing Technology and Business University, Beijing, China
Gu Fuzhen: School of Economics and Management, Panzhihua University, Panzhihua, China

Entrepreneurship Research Journal, 2023, vol. 13, issue 1, 31-69

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.

Keywords: innovative startups; social networks; entrepreneurial competence; entrepreneurial motivation; innovation performance (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1515/erj-2020-0541

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