Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Marzanah A. Jabar
Total Records ( 2 ) for Marzanah A. Jabar
  Payam Hassany Shariat Panahy , Fatimah Sidi , Lilly Suriani Affendey , Marzanah A. Jabar , Hamidah Ibrahim and Aida Mustapha
  Awareness of data quality dimensions and their relationships, poses new challenges to the database provider during the past two decades. Although, information systems have continuous improvement against their data problems, their success progressively depends on their methodology. This paper presents a methodology to measure, analyze and evaluate data quality dimensions by using subjective and objective measurement. Applying empirical methods and data mining techniques are steps of this methodology to improve database quality in the information systems. The applied rules and methods can be used to visualize and analyze attribute identification of the databases which is powerful and efficient to extract and reduce inconsistencies of the data. This methodology can be applied to compute other measurable quality dimensions and can help the information system providers to have intelligent and highly sophisticated opinions on creating databases.
  Marzanah A. Jabar , Fatimah Sidi and Mohd. Hasan Selamat
  Problem statement: In managing knowledge and competencies as a strategic advantage to an organization, there are difficulties in capturing, storing, sharing and reusing all this knowledge. Researchers have agreed that assessing tacit knowledge is difficult because knowhow of an employee are elusive and what more to assess them. It is compounded when employees leave the organization or become unavailable due to their mobility within the organization. As a result various approaches to collection and codification of knowledge have emerged. One of the most important approaches to emerge is knowledge management. Approach: In this study, we presented Knowledge Extract, Profiling and Sharing Network (KEPSNet), framework to facilitate the codification knowledge and competencies management adapting knowledge management processes in capturing, storing, sharing and reusing knowledge and competencies. Results: We enhanced these processes autonomously by capturing knowledge and competencies in tacit and explicit form from members of group project implementation in the form of concept maps and managed, according to knowledge management process. A case study in a software development group setting was evaluated and results of knowledge management processes output generated from KEPSNet prototype are compared with the result from the project manager in managing the project based. Two sets of questionnaires were given to the group members before and after implementing KEPSNet. Conclusion/Recommendations: The result of the evaluation validates the viability of the key concept presented. Codification of tacit knowledge has resulted in the codified knowledge and competencies recognized.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility