Social Network Theory as a Predictor Of Entrepreneurial Success Among Information Entrepreneurs

Publication Details

Publication Date

10/07/2026

Volume / Issue

Vol 1, Issue 2 (2026)

Article No.

013

Journal

British Journal of Contemporary Research

Received

22 Jun 2026

Views

2

Downloads

0

Abstract

This work explored social network theory as a predictor of entrepreneurial success in information entrepreneurs and investigated the relationship between social network structure and relational quality with entrepreneurial performance in a digital entrepreneurship environment. The study was designed to address two research goals: the first was to test the hypothesis that the structure of social networks predicts entrepreneurial success and the second was to test the hypothesis that the quality of the relationship is related to entrepreneurial performance. The quantitative cross sectional survey design was used and data analyzed using descriptive statistics and multiple regression analysis. The results indicated that the structure of the social network and the quality of the relationship have a significant impact on entrepreneurial success in the case of information entrepreneurs and explain 74 percent of the variance in the performance of information entrepreneurs. Relational quality, however, proved to be the strongest predictor, suggesting that it is more important to trust others, engage in more depth of interaction, and feel supported socially than to be connected structurally. The study results suggest that relational embeddedness is a key condition of entrepreneurial success, not network size per se, in the digital information ecosystem. In practice, the results indicate that maintaining quality relationships and trust-based relationships in information entrepreneurs' networks is a need to boost sustainability and performance. The study is also theoretically relevant and extends social network theory to the study of information entrepreneurship, and as such emphasizes the importance of relational quality in digital entrepreneurial success. It also offers policy implications for entrepreneurship development programmes and policies regarding the digital ecosystem, in the context of enhancing entrepreneurial capacity through networks.

License

This article is published under the Creative Commons Attribution 4.0 International License . Free to read, share, and adapt with attribution.