Evaluation Strategy for Ranking and Rating of Knowledge Sharing Portal Usability
Knowledge Sharing portals are the primary gateways for users to access all the information they need for their activity with adequate safety, security and in the best quality. The usability of a Knowledge Sharing Portal plays an important role in every organization and higher learning institutions, as it helps to increase the user satisfaction, reuse of knowledge assets, consistency of information and simplification of the maintenance process, regardless of the context, order or type of users. The primary goal of this paper is to propose a strategy for the ranking and rating of usability of the KM system. In this proposed work, we first describe the ways to design and develop the quality factors, using a multi-dimensional metric model for measuring usability along with other supporting factors. Secondly we have shown the ways to apply the Weighted Average Mean (WAM) on the usability factor and other relevant factors for evaluation. Using the weights and values generated in the metric database, the usability of the KM system can be ranked and rated both manually and automatically.
Keywords: Multi-dimensional Metric Model, Knowledge Sharing Portal, Ranking, Rating, Usability Evaluation, WAM
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ABOUT THE AUTHORS
D. Venkata Subramanian
D. Venkata Subramanian completed his Bachelor of Engineering in Computer Science and Engineering in 1992 from Bharathidasan University, India and his Master Of Science in Computer Systems Engineering from Northeastern university, Boston, USA in 2002. Venkata has worked in industries in India, Malaysia, Singapore & U.S.A for about 18 years and got certifications in IBM Db2, MDM Infosphere and ITIL V2. Venkata is presently providing consulting and training in the areas of Databases and Systems, and in parallel doing his Ph.D (part-time) in Knowledge Management, at B.S Abdur Rahman University, Tamilnadu, India.
Angelina Geetha
Angelina Geetha completed her Masters In Engineering Degree and Ph.D in Computer Science from Anna University. Angelina is presently working as a Professor and Head in Computer Science and Engineering department at B.S Abdur Rahman University, Chennai, Tamilnadu India. Angelina has worked for more than a decade in academic institutions and guided several Ph.D students in knowledge management, data warehousing, data mining and web mining.
D. Venkata Subramanian
D. Venkata Subramanian completed his Bachelor of Engineering in Computer Science and Engineering in 1992 from Bharathidasan University, India and his Master Of Science in Computer Systems Engineering from Northeastern university, Boston, USA in 2002. Venkata has worked in industries in India, Malaysia, Singapore & U.S.A for about 18 years and got certifications in IBM Db2, MDM Infosphere and ITIL V2. Venkata is presently providing consulting and training in the areas of Databases and Systems, and in parallel doing his Ph.D (part-time) in Knowledge Management, at B.S Abdur Rahman University, Tamilnadu, India.
Angelina Geetha
Angelina Geetha completed her Masters In Engineering Degree and Ph.D in Computer Science from Anna University. Angelina is presently working as a Professor and Head in Computer Science and Engineering department at B.S Abdur Rahman University, Chennai, Tamilnadu India. Angelina has worked for more than a decade in academic institutions and guided several Ph.D students in knowledge management, data warehousing, data mining and web mining.
