Exploring Big Data Applications for Knowledge Management in Higher Education Administration

Saydullaev, Shakhzod

Яшил иқтисодиёт ва тараққиёт · 2023-yil

Annotatsiya

This paper presents a comprehensive investigation into the utilization of big data for enhancing knowledgemanagement processes within the management systems of higher education institutions. Amidst the burgeoning datalandscape, academic institutions confront the challenge of harnessing voluminous and multifaceted data streams to bolsterdecision-making, curricular development, and strategic planning. Our research method encompasses a multi-casestudy analysis of five large universities that have pioneered the incorporation of big data analytics into their operationaland academic knowledge frameworks. By conducting interviews with key stakeholders, including academic leaders, ITspecialists, and policymakers, and by scrutinizing existing data architectures, we aim to construct a detailed picture of thecurrent practices and potential growth areas in the field. The findings reveal that while some institutions have advancedin specific domains of knowledge management, such as student performance tracking and resource allocation, thereremains significant untapped potential in areas like faculty collaboration networks and research output optimization. Thestudy identifies the critical barriers to effective big data utilization, which include legacy technology infrastructures, datasilos, and a skills gap among administrative staff. Conclusively, this paper argues that the strategic alignment of big datainitiatives with institutional knowledge objectives is paramount. We propose a framework for a systematic approach to bigdata in higher education that encompasses governance, technological infrastructure, and a culture of data-informed decision-making. This research contributes to the emergent discourse on data-driven transformation in educational settings,offering actionable insights for institutions aspiring to navigate the complexities of the digital age.

Maqola ma’lumotlari
MualliflarSaydullaev, Shakhzod
JurnalЯшил иқтисодиёт ва тараққиёт
NashriyotТошкент давлат иқтисодиёт университети
ISSN2992-8982
Nashr sanasi2023-12-05
Jild1
Son11
TilIngliz
Ilmiy sohaIqtisodiyot
DOI10.55439/ged/vol1_iss11-12/a374
Indeksga qo‘shilgan2026-08-26

DOI: 10.55439/ged/vol1_iss11-12/a374 · Maqolaning asl sahifasi

Kalit so‘zlar

Big Data Analytics, Knowledge Management Systems, Higher Education Administration, Data-Driven Decision Making, Organizational Change in Academia, Predictive Analytics in Education, Technological Integration Challenges.

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APASaydullaev, Shakhzod (2023). Exploring Big Data Applications for Knowledge Management in Higher Education Administration. Яшил иқтисодиёт ва тараққиёт, 1(11). https://doi.org/10.55439/ged/vol1_iss11-12/a374
GOST (OAK)Saydullaev, Shakhzod Exploring Big Data Applications for Knowledge Management in Higher Education Administration // Яшил иқтисодиёт ва тараққиёт. – 2023. – T. 1, № 11. – DOI: 10.55439/ged/vol1_iss11-12/a374.
MLASaydullaev, Shakhzod. “Exploring Big Data Applications for Knowledge Management in Higher Education Administration.” Яшил иқтисодиёт ва тараққиёт, 1(11), 2023. https://doi.org/10.55439/ged/vol1_iss11-12/a374
ChicagoSaydullaev, Shakhzod. “Exploring Big Data Applications for Knowledge Management in Higher Education Administration.” Яшил иқтисодиёт ва тараққиёт, 1(11) (2023). https://doi.org/10.55439/ged/vol1_iss11-12/a374
HarvardSaydullaev, Shakhzod (2023) ‘Exploring Big Data Applications for Knowledge Management in Higher Education Administration’, Яшил иқтисодиёт ва тараққиёт, 1(11). https://doi.org/10.55439/ged/vol1_iss11-12/a374
BibTeX
@article{saydullaevshakhzod2023,
  title = {Exploring Big Data Applications for Knowledge Management in Higher Education Administration},
  author = {Saydullaev, Shakhzod},
  journal = {Яшил иқтисодиёт ва тараққиёт},
  year = {2023},
  volume = {1},
  number = {11},
  doi = {10.55439/ged/vol1_iss11-12/a374},
  url = {https://doi.org/10.55439/ged/vol1_iss11-12/a374}
}

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