Career Development, Data-Driven Decision-Making, Technology Adoption, and Institutional Support as Predictors of Academic Excellence in Higher Education

Abstract

Academic excellence in higher education is increasingly understood as a multidimensional outcome shaped by human capital development, evidence-based governance, digital capability, and organizational support systems. This study examined the influence of career development, data-driven decision-making (DDDM), technology adoption, and institutional support on academic excellence in selected higher education institutions. Using a mixed-methods design with a strong quantitative core, data were gathered from 120 faculty members and administrators through a validated survey instrument, complemented by qualitative insights from selected participants. Based on the dissertation dataset, all four predictors were rated high to very high, while academic excellence was likewise rated very high. Correlation analysis showed significant positive relationships between career development and academic excellence (r = 0.68), DDDM and academic excellence (r = 0.65), technology adoption and academic excellence (r = 0.70), and institutional support and academic excellence (r = 0.75).