Keywords
Industry-Academia Collaboration
Predictive Model
Higher Education Partnerships
Decision-Making
Data-Driven Framework
How to Cite
Abstract
The Predictive Strategic-Fit Model (PSFM) represents a transformative approach to forging successful industry-academia collaborations. It offers higher education institutions, like Humber Polytechnic, a systematic, data-driven framework to assess potential partnerships by aligning institutional goals with industry capabilities. The model operates through a dual-sided analysis: the Demand Side, which focuses on value creation, revenue diversification, and systems leadership, and the Supply Side, which evaluates a partner’s attributes, such as financial health, relevance, and existing relationships. By combining Subjective Evaluative Judgments (SEJs) and objective data, the PSFM ensures a balanced, evidence-based approach to decision-making. The model's integration into a web application enhances accessibility and scalability, providing users with actionable insights through an intuitive interface. This digital platform is designed to evolve, incorporating future advancements in machine learning and data analysis to further optimize partnership evaluations. While the PSFM offers new opportunities for strategic alignment, it also supports long-term, multi-faceted collaborations by addressing the untapped potential within the vast amount of underutilized data available to institutions. The PSFM complements traditional methods of relationship-building, providing a structured way to prioritize and assess partnerships.
References
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