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Compares Stanford and UC Berkeley to illustrate how dynamic capabilities shape institutional trajectories. Examines differences in governance, funding, culture, and leadership. Highlights how Stanford’s proactive engagement with industry led to its rise, while Berkeley’s slower adoption of entrepreneurial practices posed challenges.
Argues that universities must become entrepreneurial to thrive. Defines the entrepreneurial university as one that engages with its ecosystem, fosters innovation, and adapts to societal needs. Highlights the importance of strategic leadership, interdisciplinary collaboration, and a culture of innovation.
In times of deep uncertainty, the 'entrepreneurial university' needs to be able to transform itself, when necessary, to maintain long-term evolutionary fitness. Dynamic Universities explores how strategic, entrepreneurial leadership can help US higher education institutions thrive amid unprecedented challenges. Drawing on the dynamic capabilities framework, David J. Teece and Sohvi Heaton provide a strategic roadmap to help university leaders identify emerging opportunities and threats, take decisive action, and sustain competitiveness by enhancing, safeguarding, and reconfiguring key institutional assets – ultimately driving long-term transformation and success. Through compelling case studies – including Stanford and Berkeley – and interviews with global university leaders, this book offers practical insights into managing complexity, fostering innovation, and building resilient academic ecosystems. It is essential reading for administrators, policymakers, and anyone interested in the future of higher education.
This chapter assesses the conditions within entrepreneurial ecosystems and their impact on achieving specific levels of productive entrepreneurial outcome across developed and emerging economies, with special attention to companies that have attained unicorn status. Employing necessary condition analysis (NCA) across sixty countries between 2018–2020, we integrate data from various sources, including the national expert survey (NES) from the global entrepreneurship monitor (GEM), world development indicators (WDI) and private intelligence platforms (Crunchbase, CB Insights and Dealroom.co). Analysis reveals that entrepreneurial framework conditions significantly contribute to high-quality entrepreneurial outcomes like funded start-ups and unicorn companies; however, they are not as critical for other outcomes such as early-stage start-ups and established business ownership. We encourage policymakers to prioritise resources for ecosystem conditions maximising entrepreneurial outcomes, focusing particularly on high-quality entrepreneurship measures like start-ups and unicorns, which traditional metrics may not adequately capture. Findings highlight the positive association of various outcome measures of development, suggesting a correlation between entrepreneurial ecosystems parameters and socioeconomic development and innovation.
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