Research Article
Digital Leadership in Higher Education Institutions: A Conceptual Framework
@INPROCEEDINGS{10.4108/eai.30-10-2024.2354734, author={Benedicta Djarwati Muljani and Hamidah Nayati Utami and Arik Prasetya and Agung Nugroho Luthfi Imam Fahrudi}, title={Digital Leadership in Higher Education Institutions: A Conceptual Framework}, proceedings={Proceedings of the 3rd International Conference on Public Administration and Governance, ICOPAG 2024, 30 October 2024, Malang, Indonesia}, publisher={EAI}, proceedings_a={ICOPAG}, year={2025}, month={5}, keywords={digital leadership higher education sustainable performance post-pandemic conceptual framework}, doi={10.4108/eai.30-10-2024.2354734} }- Benedicta Djarwati Muljani
Hamidah Nayati Utami
Arik Prasetya
Agung Nugroho Luthfi Imam Fahrudi
Year: 2025
Digital Leadership in Higher Education Institutions: A Conceptual Framework
ICOPAG
EAI
DOI: 10.4108/eai.30-10-2024.2354734
Abstract
This study explores digital leadership's role in driving sustainable performance in higher education institutions post-pandemic. The purpose of the study is to develop a framework linking digital leadership competencies to sustainable performance dimensions. Through a comprehensive literature review, key components of digital leadership and sustainable performance in higher education are identified. The resulting framework includes digital leadership competencies, mediating factors, and sustainable performance outcomes. Findings highlight the importance of effective digital leadership for institutions to thrive in an increasingly digital and competitive landscape. The framework provides insights for researchers and practitioners in higher education management. Implications include the need for developing digital leadership competencies, fostering digital culture, and adopting a holistic approach to digital transformation. The paper concludes that digital leadership is vital in driving sustainable performance across multiple dimensions in higher education institutions. Future research directions are proposed to empirically test and refine the framework.
