Mondal, Charles (2024) Success factors for high-technology entrepreneurial ecosystems : leveraging university knowledge assets within science and technology parks. (PhD thesis), Kingston University, .
Abstract
High-tech entrepreneurship ecosystems depend heavily on the growth dynamics and performance of Science and Technology Parks (STPs), where collaborations among New Technology-Based Firms (NTBFs), universities, and large firms play a pivotal role as conceptualized in the Triple Helix model. Through analysing Swedish STPs, such as Umeå and Skövde, alongside UK pharmaceutical-focused STPs, this study demonstrates that younger STPs gain resilience and improved decision-making through partnerships with large firms, while mature STPs derive more benefits from clustering similarly specialized firms to promote knowledge spillovers, irrespective of university proximity. Geographic Information Systems (GIS) analysis reveals that STPs with overlapping specializations maintain distances exceeding 33 km, while those with distinct focuses are often situated closer, sometimes as little as 12 km apart, underscoring the importance of spatial arrangements in enhancing STP performance. The research builds upon prior findings that STPs achieve optimal decision-making with input from two large firms, as additional firms introduce increased transaction costs. The analysis of SKÖVDE Science Park, which includes two large firms, reveals a notably high on-cluster employment gradient of 56.85, while UMEÅ Science Park, lacking large-firm partnerships, shows a much lower gradient of 12.00, thus validating the proposed model’s hypothesis on the critical role of large firms in fostering robust STP performance.
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