Abstract

Do high-performing entrepreneurs in the technology sector in emerging economies have more, or different, transnational experience than the founders of high-performing non-technology businesses? Employing Vietnam as a case study, we find that they do; the founders of high-performing technology-oriented businesses are 15 times more likely to have transnational experience in the U.S. compared to their non-technology peers, and are 35 times more likely to be graduates of American universities compared to founders of high-performing, non-technology-oriented business. The founders of high-performing non-technology businesses are more ‘place-based’, as they have predominantly lived and studied in Vietnam. Our data and methods are comprised of a logistic regression analysis of the biographical details of Vietnam's 143 highest-performing entrepreneurs; the founders of the 76 Vietnam's (non-technology-based) companies with the highest market capitalizations and the 67 founders of Vietnam's highest performing technology-oriented companies, in terms of private equity fundraising, as of April 2020. The paper's theoretical contribution is the advance it makes in analytical explanations of why technology-based entrepreneurs have more transnational experience, especially in the U.S., than high-performing founders of businesses in other sectors; this helps extend theory on the relationship between social and human capital and entrepreneurial performance, specifically in the technology sector.

Highlights

  • High-performing, technology-enabled entrepreneurship in emerging economies has been found to be associated with higher rates of trans­ national experience, with the founders completing university studies abroad, especially in the U.S In their studies of Chinese, Indian and Taiwanese technology entrepreneurs, Kenney et al [1] and Batjargal [2] found that returnees who studied at American universities constituted a significant share of the entrepreneurs who founded high-performing technology companies

  • We offer an advance for studies of the role of social and human capital as a determinant of entrepreneurial performance, especially in emerging economies

  • We have shown differential rates and directions of transnational experiences underpinning two sets of Vietnam’s highestperforming entrepreneurs; those who founded the country’s highestperforming non-technology-oriented companies, in terms of market cap, and those whose technology-focused businesses have raised the largest amount of private capital

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Summary

Introduction

High-performing, technology-enabled entrepreneurship in emerging economies has been found to be associated with higher rates of trans­ national experience, with the founders completing university studies abroad, especially in the U.S In their studies of Chinese, Indian and Taiwanese technology entrepreneurs, Kenney et al [1] and Batjargal [2] found that returnees who studied at American universities constituted a significant share of the entrepreneurs who founded high-performing technology companies. Drawing on theory on the relationship between social and human capital and entrepreneurial performance, in this paper we offer: (1) novel empirical evidence of the transnational experience of Vietnam’s highest-performing entrepreneurs, and (2) appreciative theory to un­ pack why technology-based entrepreneurs have more transnational experience than high-performing entrepreneurs in other sectors. We extend the theoretical tools for conceptualizing and testing how highperforming, high-technology entrepreneurship may be distinct from high-performing entrepreneurs operating in other sectors, in terms of the transnationally-derived social and human capital of the founders This approach is novel, as existing research [1,2] has not compared technology sectors to high-performing entrepreneurs in other sectors. We conclude the paper with a discussion of scholarly and policy implications, the study’s lim­ itations and avenues for further research

Social and human capital and entrepreneurship in Vietnam
Hypotheses
Data and methods
Empirical Analysis
Findings
Discussion and analysis
Conclusion
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