Distributed Data Systems in Knowledge Management for Higher Education Decision Making
Аннотация
The need to leverage advanced analytical methods to develop and implement innovative digital solutions forces higher education institutions to reevaluate infrastructure strategies, data governance policies, and institutional knowledge-sharing mechanisms in order to identify what technological advancements are relevant and how they will be enacted in academic settings and administrative operations. This is where this research aims to make a contribution, beyond introducing this integrated methodological framework which presents empirical articles dealing with data-driven decision-making, distributed systems integration, and strategic knowledge management dynamics of higher education, cloud-based infrastructures, blockchain-enhanced security, or hybrid knowledge-sharing ecosystems. Following the methodological exploration, a structured analysis of knowledge management framework development is compiled to link technological innovations with these main terms, decision-making optimization and academic institutional growth. There are two main contributions of this study. One is that it is the first time to develop and present such a systematic knowledge-mapping chart to show the hierarchical structuring of distributed data models for institutional decision-making. The other is that the framework embraces the idea of synergy between technological advancements and educational governance, operational fulfillment and institutional needs, and security considerations and accessibility challenges that call for optimized hybrid models. This paper offers critical insights and reflections to provide stakeholders with key information to best implement distributed knowledge systems while being aware of scalability and security risks. This future research agenda provides ample scope for future empirical studies and computational science on data-driven strategies, cloud-enabled infrastructures, institutional digitalization, and knowledge diffusion mechanisms.