Mapping the Pathways of Science-Based Academic Entrepreneurs in the Queen's University Ecosystem
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Authors
Guarino Moraes, Bruna
Date
2024-09-05
Type
thesis
Language
eng
Keyword
Academic Entrepreneurship , Research Commercialization , University Spin-offs , Science-Based , STEM & Health Sciences , Entrepreneurial Pathways , Mixed-Methods Approach , Non-Metropolitan Ecosystem , University-Anchored Innovation Ecosystem , Academic Founders , Queen's University Ecosystem
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Abstract
Societies are looking to universities to solve global problems and provide economic opportunity through the transfer of research informed knowledge to impact. Previous research has shown that Canada invests significantly in university-anchored research but underperforms in business-related research (Hinton, et al., 2023). This study aims to identify significant factors and pathways influencing academic entrepreneurs in Science, Technology, Engineering, and Mathematics (STEM) and Health Science fields in the Queen’s University non-metropolitan ecosystem. Pathways in this study are analyzed through themes and associated factors rather than as a fixed sequence of events or a strictly temporal progression. The Queen’s University ecosystem, situated in a mid-sized town and anchored by a comprehensive medical-doctoral university, serves as an example of a self-contained environment. University-based research commercialization has become crucial for economic growth and addressing global challenges (Amry et al., 2021). However, there remains a gap in understanding the specific factors and pathways shaping science-based academic entrepreneurship, especially in non-metropolitan settings like Queen’s University, within a multi-level, multi-method framework. The research utilized a mixed-methods approach, beginning with process-oriented case study interviews to gather contextual insights and develop a relational visual model of academic entrepreneurial journeys. This was complemented by broader, structural quantitative survey data, which supported Exploratory Data Analysis (EDA) and Qualitative Comparative Analysis (QCA) to explore the frameworks influencing the Queen’s University innovation ecosystem. Modern data visualization tools were used to cluster variables and create visual and conceptual models, with a strong emphasis on pathway mapping to capture the complexity of entrepreneurial trajectories beyond traditional metrics. Key findings indicate that prior experience with patents, startups, and international exposure significantly enhances entrepreneurial success. Additionally, participation in non-curricular programs, support from Technology Transfer Offices, and core patents are associated with success, while interdisciplinary collaboration and serendipity often drive innovation. The study also reveals diverse motivations, academic backgrounds, and gender representation among founders, alongside a reliance on external networks despite a supportive local ecosystem. We anticipate that the findings gained will help inform policy and program design in the Queen’s ecosystem, and for other similarly structured to boost academic entrepreneurship and research commercialization.
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Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
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Copying and Preserving Your Thesis
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.
ProQuest PhD and Master's Theses International Dissemination Agreement
Intellectual Property Guidelines at Queen's University
Copying and Preserving Your Thesis
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.