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Cloud-Based Knowledge Management Framework for Decision Making in Higher Education Institutions

Muhammad Younas1,2,*, Ahmad Shukri Mohd Noor2, Muhammad Arshad1

1 Jazan University, Jazan, 82182, Saudi Arabia
2 Universiti Malaysia Terengganu, Kuala Terengganu, 21030, Malaysia

* Corresponding Author: Muhammad Younas. Email: email

(This article belongs to this Special Issue: Digital Technologies in Business, Education and Social Transformation)

Intelligent Automation & Soft Computing 2022, 31(1), 83-99.


The education sector is now necessitated to align itself with the latest innovative technological trends in the industry to be competitive while transforming database management practices. The Higher Education Institutions (HEIs) are currently using cloud-based applications at varied implementation levels while others are following the shifting trends. On-demand availability of consolidated information is a critical success factor to perform decision-making activities; as a result, quite a bit of research work has been performed in this realm. The study is aimed to propose an efficient framework that is capable of extracting the desired information from an educational setup intended to be used for decision-making purposes over cloud infrastructure. The framework focuses on addressing all the desired queries to be used for administrative and decision-making purposes. Further, different institutions will be benefited from enhanced and efficient decision-making with high accuracy and to boost inter and intra institutions’ knowledge sharing tasks. In conclusion, on the premise of the decision-making architecture, a cloud-based knowledge management reference prototype framework has been created and implemented to verify the outcomes for one of the public universities in the Kingdom of Saudi Arabia (KSA).


Cite This Article

M. Younas, A. Shukri Mohd Noor and M. Arshad, "Cloud-based knowledge management framework for decision making in higher education institutions," Intelligent Automation & Soft Computing, vol. 31, no.1, pp. 83–99, 2022.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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