Digital Leadership and Organizational Performance in Higher Education: A Multilevel Analysis of Technological Readiness, Employee Engagement, and Institutional Innovation

Abstract

Background of study: Digital transformation in higher education increasingly depends on whether institutional leadership can convert technology investments into employee capability, engagement, innovation, and measurable performance.  Aims and scope of paper: This study develops a two-level model linking digital leadership to organizational performance through technological readiness, employee engagement, and institutional innovation.  Methods: A multilevel quantitative design is specified with employees nested in universities and analyzed using multilevel structural equation modeling (MSEM). For manuscript-development purposes, results are demonstrated with a clearly identified synthetic dataset of 768 employees nested in 48 higher-education institutions; all numerical values must be replaced by verified empirical results before submission.  Result: The illustrative model shows acceptable fit (CFI = .955, TLI = .947, RMSEA = .046; SRMRwithin = .038, SRMRbetween = .061). At the employee level, technological readiness predicts engagement and performance, while engagement partially mediates the readiness–performance relationship. At the institutional level, digital leadership strongly predicts institutional innovation, which partially mediates its association with organizational performance.  Conclusion: Digital leadership appears most consequential when it builds technology-ready employees, sustains engagement, and institutionalizes innovation rather than functioning only as a technology-oriented leadership style.