Utilization of AI for Strategic Decision-Making in Higher Education to Achieve Sustainable Business

Abstract

This study examines the utilization of Artificial Intelligence (AI) for strategic decision-making in higher education to achieve business sustainability. The core issue lies in how educational institutions can effectively integrate AI while addressing ethical and operational challenges. The research employs a mixed-methods approach, combining quantitative analysis (regression, predictive modeling) and qualitative methods (in-depth interviews, surveys) across 3-5 universities. Findings reveal that AI enhances operational efficiency (β=0.467 for energy management) and student enrollment prediction accuracy (87.4%), yet its adoption faces barriers from cultural resistance and ethical concerns like algorithmic bias. The discussion highlights the need for a sustainable and inclusive AI governance framework. The study concludes that successful AI integration requires balancing technological innovation with sustainability principles. Practical implications include policy recommendations for ethical AI audits and digital literacy training. The research contributes an evidence-based AI implementation model aligned with SDGs, particularly Goal 4 (quality education) and Goal 9 (industry, innovation, and infrastructure).