In this systematic literature review (SLR) the focus of investigation is to the evolving role of generative artificial Intelligence (GenAI) in the higher education and attention to governance, ethical usage and institutional innovation throughout academic supply chains. The 155 peer reviewed studies were sourced from the Scopus database and filtered with help of PRISMA methodology by synthesizing five core themes: (1) Ethical Governance for Generative AI in Higher Education, (2) Generative AI in Decision-Making and Administration, (3) Accountability, Compliance, and Institutional Frameworks, (4) Role of AI-Enhanced Educational Supply Chain Management, and (5) Ethical Use of Generative AI in Teaching, Learning, and Student Engagement. The purpose of this review is to determine best practices and challenges required for institutionalizing GenAI policy framework by promoting responsible adoption and risk mitigation through bias, data misuse, and algorithmic opacity. Integrative framework is implemented which identifies GenAI governance mechanisms with academic performance outcomes and stakeholder trust. The paper summarizes with research agenda that state that transdisciplinary policy studies, enhanced AI literacy, and robust institutional accountability mechanisms are required
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