This narrative systematic review examines how university culture impacts the effectiveness of innovative technologies in higher education, particularly with the growing focus on success metrics within quality culture frameworks. By systematically reviewing literature from 2016 to 2025, a notable cultural shift has been detected in how higher education institutions (HEIs) assess technology integration. Instead of relying solely on traditional output-based metrics like grades and retention rates, there's a shift towards incorporating process-oriented, learner-centered indicators such as engagement, equity, and predictive analytics. The key findings show that advancements in AI and data-driven tools are assisting more detailed and proactive ways to measure success, while ethical considerations like algorithmic fairness are becoming more important. This study also clarifies the developing roles of faculty and students, with educators moving from being mere content deliverers to becoming facilitators of technology-enhanced learning; while students are stepping up as active participants in increasingly data-driven environments. The implications of these changes emphasize the necessity for HEIs to welcome comprehensive evaluation frameworks that blend quantitative and qualitative insights. Institutions should also invest in professional development (PD) to overcome resistance to change and prioritize ethical practices when adopting new technologies. By aligning success metrics with long-term pedagogical aims and stakeholder needs, institutions can promote sustainable excellence and inclusivity in higher education.