Conceptual framework for enhancing decision-making in higher education through data-driven governance
1 Ashland University, Ashland Ohio, USA.
2 Service Advocates Consulting, Nigeria.
3 Teesside University International Business School, Middlesborough, United Kingdom.
Review
Global Journal of Advanced Research and Reviews, 2024, 02(02), 016–030.
Article DOI: 10.58175/gjarr.2024.2.2.0055
Publication history:
Received 25 August 2024; revised on 11 October 2024; accepted on 15 October 2024
Abstract:
In an increasingly complex and competitive landscape, higher education institutions must leverage data-driven governance to enhance decision-making processes. This paper presents a conceptual framework aimed at integrating data analytics into the governance structures of higher education, facilitating informed decision-making, and improving institutional effectiveness. The framework emphasizes the importance of collecting, analyzing, and utilizing data across various dimensions, including academic performance, student engagement, financial management, and operational efficiency. By adopting a data-driven approach, institutions can identify trends, forecast outcomes, and make strategic decisions that align with their mission and goals. The study outlines key components of the framework, including data governance, analytics capabilities, stakeholder engagement, and institutional culture. Data governance ensures that data quality, integrity, and security are maintained, while analytics capabilities empower decision-makers with actionable insights. Engaging stakeholders—faculty, administrators, students, and external partners—fosters a collaborative environment where data-driven decisions are embraced and supported. Furthermore, the framework addresses the challenges institutions face when implementing data-driven governance, such as resistance to change, data silos, and inadequate technological infrastructure. Strategies for overcoming these challenges include investing in professional development, enhancing data literacy, and promoting a culture of continuous improvement. The framework also highlights the significance of ethical considerations and transparency in data usage, ensuring that decision-making processes are equitable and accountable. The findings indicate that by embracing data-driven governance, higher education institutions can enhance their responsiveness to changing demands, optimize resource allocation, and improve overall institutional performance. Ultimately, the conceptual framework serves as a guide for higher education leaders seeking to harness the power of data in their decision-making processes, fostering a proactive and adaptive institutional environment.
Keywords:
Data-Driven Governance; Decision-Making; Higher Education; Institutional Effectiveness; Data Analytics; Data Governance; Stakeholder Engagement; Data Literacy; Continuous Improvement; Ethical Considerations
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0