UUM Repository | Universiti Utara Malaysian Institutional Repository
FAQs | Feedback | Search Tips | Sitemap

Implementing research recognition award knowledge-based system (R2AKS)


M. A., Mazeyanti and K. S, Savita and R. S., Ainol and Zainuddin, Hazlinda (2008) Implementing research recognition award knowledge-based system (R2AKS). In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia.

[img] PDF
Restricted to Registered users only

Download (69kB) | Request a copy

Abstract

In an effort to recognize the contributions of outstanding researchers within a university, a private university in Malaysia had introduced a Research Award.The process of identifying the candidates to be evaluated by a Selection Committee is currently carried out manually by personnel from the university's Research Enterprise Office (REO).Although the selection criteria are well-established, the manual process is tedious and time-consuming and more importantly it is subject to the discretion of the panel on the Selection Committee.The prototype implemented in this study is called Research Recognition Award Knowledge-based System (R2AKS) which aims to assist the REO personnel to select the winner for the Research Award.At the same time, R2AKS is able to capture the valuable knowledge residing in the researchers and REO personnel as well as from the university’s policies, procedures and templates.The prototype does not only serve as a DSS tool for helping REO personnel in the selection of the winner for each category but also for the capture of valuable insights, intuition, historical experience, judgments and know -how of the REO personnel when they are performing the selection process.Finally, the R2AKS is modest effort by the university to leverage their existing knowledge while at the same time ensuring the knowledge capture is well-documented, reused, and accessible to the public and distributed throughout the organization.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983-3827-73-2 Organized by: College of Arts and Sciences, Universiti Utara Malaysia
Uncontrolled Keywords: Decision Support Systems (DSS), Knowledge Management (KM), Knowledge Management Technology(KMT),, Knowledge-based System(KBS)
Subjects: T Technology > T Technology (General)
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 20 Aug 2014 03:09
Last Modified: 20 Aug 2014 03:09
URI: http://repo.uum.edu.my/id/eprint/11411

Actions (login required)

View Item View Item