TITLE:
Application of Engineering Management Principles in Research and Innovation Governance in Higher Education Institutions: A Systematic Review
AUTHORS:
Allen Paul Esteban, Noel Florencondia, Feliciana Jacoba, Christopher Ladignon, Marvin Mallari, Michael John Villar, Ofelia Bawan
KEYWORDS:
Engineering Management, Higher Education Institutions, Research Governance, Knowledge Management, Commercialization, Triple Helix, Innovation Systems
JOURNAL NAME:
Creative Education,
Vol.16 No.10,
October
23,
2025
ABSTRACT: The rapid transformation of higher education institutions (HEIs) into drivers of innovation has intensified the need for structured governance frameworks. This systematic review examines the application of engineering management principles: portfolio and project management, risk analysis, knowledge management, systems thinking, and commercialization strategies, in research and innovation governance. Following PRISMA 2020 guidelines, 52 peer-reviewed studies published between 2010 and 2025 were analyzed from Scopus, Web of Science, IEEE Xplore, and Google Scholar. Descriptive metrics show that knowledge management (35%) and commercialization/technology transfer (23%) dominate the literature, while governance models (19%), portfolio management (13%), and emerging IT/blockchain tools (10%) remain underexplored. Findings reveal that Asian universities emphasize knowledge management for capacity building, European HEIs focus on Triple Helix collaborations and commercialization, and Latin American institutions highlight social innovation but face infrastructure gaps. Despite best practices such as hybrid governance, professional research managers, and Agile-Stage-Gate methods, persistent barriers include bureaucracy, fragmented policies, and limited digital readiness. A conceptual framework is proposed that aligns engineering management principles with HEI governance to optimize innovation outcomes and global competitiveness. Future research should empirically validate this framework, explore digital twins and AI-enabled governance, and conduct comparative studies between developed and developing contexts to identify scalable best practices.