Towards Designing a Knowledge Sharing System for Higher Learning Institutions in the UAE Based on the Social Feature Framework

Numerous ICT instruments, such as communication tools, social media platforms, and collaborative software, bolster and facilitate knowledge sharing activities. Determining the vital success factors for knowledge sharing within its unique context is argued to be essential before implementing it. Therefore, it is imperative to define domain-specific critical success factors when envisioning the design of a knowledge sharing system. This research paper introduces the blueprint for an Academic Knowledge Sharing System (AKSS), rooted in an essential success framework tailored to knowledge sharing to deploy within an academic institution. In this regard, an extensive exploration of the relevant literature led to the formulation of the research hypothesis that guided the construction of a questionnaire targeting university students through the online platform Pollfish, utilizing a quantitative approach to investigate, while the data collected was analyzed using SPSS version 22. The study unveils critical factors, including encouragement, acknowledgment, a reward system, fostering a knowledge sharing culture, and leading by example, contributing to developing the knowledge sharing framework. Furthermore, the study illustrates how this framework seamlessly integrated into the design, implementation, and execution of the Academic Knowledge Sharing System (AKSS)

Vertical partitioning impact on performance and manageability of distributed database systems (A Comparative study of some vertical partitioning algorithms)

Users of distributed database systems often observe performance problems such as unexpectedly low throughput or high latency. Determining the cause of the performance problems can be very hard task. Bottlenecks can occur in any of the components through which the data flows: the applications, the operating systems, the network interfaces and hardware. Horizontal and vertical partitioning are important aspects of physical design in relational database system that has a significant impact on performance. The distribution design involves making decisions on the fragmentation and the allocation of data across the sites of a computer network. In this paper we address the fragmentation phase of distributed database systems. In this paper, vertical partitioning problem during the design of distributed databases is discussed by conducting a comparative study for different vertical partitioning algorithms to reach the most efficient vertical fragmentation scheme that leads to a proper data allocation and replication

Case-based reasoning as a technique for knowledge management in business process redesign

Business Process Redesign (BPR) helps rethinking a process in order to enhance its performance. Practitioners have been developing methodologies to support BPR implementation. However, most methodologies lack actual guidance on deriving a process design threatening the success of BPR. In this paper, we suggest the use of a case-based reasoning technique (CBR) to support solving new problems by adapting previously successful solutions to similar problems to support redesigning new business processes by adapting previously successful redesign to similar business process. An implementation framework for BPR and the CBR's cyclical process are used as a knowledge management technical support to serve for the effective reuses of redesign methods as a knowledge creation and sharing mechanism