Constraining entrepreneurial development: A knowledge-based view of social networks among academic entrepreneurs

被引:133
作者
Hayter, Christopher S. [1 ]
机构
[1] Arizona State Univ, Sch Publ Affairs, Ctr Org Res & Design, Phoenix, AZ 85004 USA
关键词
University spinoffs; Social networks; Entrepreneurship; Technology transfer; Knowledge spillovers; OF-CONCEPT CENTERS; UNIVERSITY ENTREPRENEURSHIP; HIGH-TECHNOLOGY; CREATING VALUE; SUCCESS; PERFORMANCE; SCIENTISTS; BUSINESS; IMPACT; GROWTH;
D O I
10.1016/j.respol.2015.11.003
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
While university spinoffs have become a well-accepted vehicle for regional economic dynamism, they face numerous developmental barriers associated with the unique academic context from which they are established. Recent research shows that homophilous social networks among faculty entrepreneurs constitute one such barrier, and yet few studies have investigated the specific characteristics of spinoff networks and their relationship to entrepreneurial development. This paper seeks to address this gap through a mixed-methods research design focused on the composition, contributions, and evolution of social networks among faculty entrepreneurs whose spinoffs are within various phases of entrepreneurship. Employing a knowledge-spillover conceptual lens, this study finds that social networks among early-stage academic entrepreneurs are important for spurring and supporting spinoff establishment, but if they do not evolve from their initial configuration, these networks can largely constrain subsequent stages of spinoff development. Social networks among successful spinoffs, however, evolve with the help of first-order or boundary spanning individuals who help socialize academic entrepreneurs to market-oriented motivations, values, and practices that they may not otherwise receive in an academic environment. Further, these individuals provide connections to other contacts who, in turn, provide additional spinoff-enabling resources and contacts. Based on these findings, a conceptual model is introduced that explains spinoff success as a function of network evolution. Implications for research and public policy are also discussed. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:475 / 490
页数:16
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