Mary Han

Toward a social capital theory of technology‐based new ventures as complex adaptive systems

Purpose - Technology-based new ventures (TNVs) – which rely on entrepreneurial activities based on science and technology applications in newly created organizations to be successful – are important to current economic growth and innovation. Past research has looked at the importance of networks and social capital to TNV performance. Yet these studies rarely provide theoretical predictions of the attributes of network ties. This paper aims to bring TNV theory up to date with respect to twenty-first century adaptation and complexity conditions. Design/methodology/approach - The paper draws on new developments in complexity science (specifically scalability and scale-free theories) and long-standing first principles of efficacious adaptation to develop TNV-relevant theory offering an alternative perspective on the impact of network ties on the performance of TNV. Findings - It is argued that TNVs can achieve superior performance by developing and building moderate numbers of short-term (and thereby weak) network ties. The theorizing calls for a new research agenda pertaining to TNVs, which are delineated. The paper also develops four propositions as part of setting forth an agenda for future research. Originality/value - The paper updates the entrepreneurship and social network literatures by reshaping them with respect to the nonlinear order-creation dynamics of complexity theory and scale-free dynamics of econophysics. It focuses on the aspects of network theory that are especially likely to set in motion the complex adaptive systems dynamics essential to TNV performance. Therefore, the conceptual framework contributes to TNVs as a guide to achieving higher performance, effectiveness, and longevity in a rapidly changing world.

Handbook of research on Asian entrepreneurship

Edited by Leo-Paul Dana Adjunct Professor, GSCM Montpellier Business School, on study leave from the University of Canterbury, New Zealand, Senior Advisor, World Association for Small and Medium Enterprises and Founding Editor, Journal of International Entrepreneurship and Journal of Enterprising Communities Mary Han Assistant Professor of Entrepreneurship and Strategy, Ryerson University, Canada Vanessa Ratten Assistant Professor, School of Business Administration, Duquesne University, USA Isabell M. Welpe Senior Research Fellow, Max Planck Institute of Economics, Germany

How to Grow Successful Social Entrepreneurship Firms? Key Ideas from Complexity Theory

Social entrepreneurship (SE) is increasingly popular in academia and practice, but unified theoretical explanations about the performance of social entrepreneurship firms (SEFs) is missing (Santos, 2012). This deficiency motivates us to theorize about SE from a complexity science perspective. We draw from complexity science to analyze and explain how SEFs emerge, achieve performance, and grow. We link complexity science with SE so as to add explanatory value as well as offering guidelines for better SEF performance toward achieving social objectives while avoiding the chasm of chaos. Our theoretical framework offers complexity insights for building effective networks, and accountability, as well as for improving trust, legitimacy, and sound governance. Drawing on complexity theory to better explain the key elements necessary for improving SEFs’ performance and growth, enhances the probability of meeting the challenge of the so-called ‘double bottom-line’: achieving continuous positive social impacts while attaining financial health.