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1 – 3 of 3Nathalie Duval-Couetil, Alanna Epstein and Aileen Huang-Saad
This study examined differences related to gender and racial/ethnic identity among academic researchers participating in the National Science Foundation’s “Innovation-Corps” (NSF…
Abstract
Purpose
This study examined differences related to gender and racial/ethnic identity among academic researchers participating in the National Science Foundation’s “Innovation-Corps” (NSF I-Corps) entrepreneurship training program. Drawing from prior research in the fields of technology entrepreneurship and science, technology, engineering and mathematics (STEM) education, this study addresses the goal of broadening participation in academic entrepreneurship.
Design/methodology/approach
Using ANOVA and MANOVA analyses, we tested for differences by gender and minoritized racial/ethnic identity for four variables considered pertinent to successful program outcomes: (1) prior entrepreneurial experience, (2) perceptions of instructional climate, (3) quality of project team interactions and (4) future entrepreneurial intention. The sample includes faculty (n = 434) and graduate students (n = 406) who completed pre- and post-course surveys related to a seven-week nationwide training program.
Findings
The findings show that group differences based on minoritized racial/ethnic identity compared with majority group identity were largely not evident. Previous research findings were replicated for only one variable, indicating that women report lower amounts of total prior entrepreneurial experience than men, but no gender differences were found for other study variables.
Originality/value
Our analyses respond to repeated calls for research in the fields of entrepreneurship and STEM education to simultaneously examine intersecting minoritized and/or under-represented social identities to inform recruitment and retention efforts. The unique and large I-Corps national dataset offered the statistical power to quantitatively test for differences between identity groups. We discuss the implications of the inconsistencies in our analyses with prior findings, such as the need to consider selection bias.
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Aileen Huang-Saad, Nathalie Duval-Couetil and Jongho Park
This paper describes the entrepreneurial ecosystems of three public research universities involved in the National Science Foundation (NSF) Midwest I-Corps TM (trademark symbol…
Abstract
Purpose
This paper describes the entrepreneurial ecosystems of three public research universities involved in the National Science Foundation (NSF) Midwest I-Corps TM (trademark symbol) Node. It presents a synthesis of programming, functional structure, commonly referenced university metrics and their limitations in measuring impact on commercialization and regional development.
Design/methodology/approach
Based on current literature, university data and discussions with entrepreneurship leaders at the University of Michigan/Ann Arbor, University of Illinois/Urbana Champaign and Purdue University, this paper provides an overview and analysis of entrepreneurial resources and education initiatives.
Findings
University contributions to entrepreneurial ecosystems can be described with respect to infrastructure and leadership, technology and talent and culture of innovation. Four main university entities are responsible for driving entrepreneurship initiatives. Identification of these entities, their respective activities and their outcomes allows us to propose a framework for analyzing and measuring university entrepreneurial ecosystem impact.
Practical implications
The paper describes the variety of university-based entrepreneurial initiatives believed to contribute to university entrepreneurial vibrancy and ultimately regional development. It identifies ecosystem stakeholders and provides a framework for examining their role and impact for continuous development.
Originality/value
The research complements prior reviews and empirical studies of university-wide entrepreneurial ecosystems by focusing on programming within and across institutions according to four dimensions (academic, research administration, technology transfer and community engagement) with respect to technology and talent development. It describes similarities across institutions and limitations associated with measuring impact. It provides a foundation for future empirical research related to the impact of NSF I-Corps and entrepreneurial programming in academic settings.
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Alanna Epstein, Nathalie Duval-Couetil and Aileen Huang-Saad
Expanding access to entrepreneurship training programs can be a method to increase female involvement in technology commercialization only if these programs adequately address the…
Abstract
Purpose
Expanding access to entrepreneurship training programs can be a method to increase female involvement in technology commercialization only if these programs adequately address the specific challenges facing female faculty and graduate students. In the context of the US National Science Foundation's Innovation Corps (NSF I-Corps) program, this study examines gender differences in prior experience and attitudes towards the training in order to propose improvements to the program design.
Design/methodology/approach
This quantitative study uses Pearson's Chi-Square and ANOVA tests on survey data from the I-Corps national program (n = 2,195), which enrolls faculty members, graduate students, postdoctoral researchers and industry experts.
Findings
In comparison to male participants, female I-Corps participants reported less entrepreneurial experience prior to the program, poorer team relationships during the program and lower entrepreneurial intention and technology commercialization readiness at both the beginning and the end of the program. However, no gender differences were found in positive or negative perceptions of the instructional climate or perceptions of program usefulness.
Originality/value
This study is unique as it is based on a large-scale dataset drawn from sites across the United States. The results support potential changes to I-Corps and similar programs, including providing more explicit instructions for tasks with which female participants have less prior experience than males (e.g. in applying for patents), offering guidance for team interactions, and providing mentorship to assess whether low self-efficacy is leading women to underestimate the potential success of their projects.
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