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Reseach Article

Knowledge Management System Approach for Student’s Appeal Domain: A Study

by Mary Ann C. Paguio, Shaniba Fasal, Dennis B. Gonzales
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 5
Year of Publication: 2016
Authors: Mary Ann C. Paguio, Shaniba Fasal, Dennis B. Gonzales
10.5120/ijca2016909154

Mary Ann C. Paguio, Shaniba Fasal, Dennis B. Gonzales . Knowledge Management System Approach for Student’s Appeal Domain: A Study. International Journal of Computer Applications. 139, 5 ( April 2016), 1-8. DOI=10.5120/ijca2016909154

@article{ 10.5120/ijca2016909154,
author = { Mary Ann C. Paguio, Shaniba Fasal, Dennis B. Gonzales },
title = { Knowledge Management System Approach for Student’s Appeal Domain: A Study },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 5 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number5/24483-2016909154/ },
doi = { 10.5120/ijca2016909154 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:40:06.269713+05:30
%A Mary Ann C. Paguio
%A Shaniba Fasal
%A Dennis B. Gonzales
%T Knowledge Management System Approach for Student’s Appeal Domain: A Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 5
%P 1-8
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Knowledge Management is a term used as a systematic and organizationally specified process for acquiring, organizing, and communicating both tacit and explicit knowledge of employees so that other employees may make use of it to be more effective and productive in their work.” (Barnes, 2002).The study is concerned to the process of discovery, creation, dissemination and utilization of knowledge in student’s appeal domain through the development of KM Portal for Student’s appeal domain. KMS is a term used to address any kind of IT system that uses, stores, retrieve and disseminates the information within organization to improve the existing process that requires the tacit and explicit knowledge to be store in a fashionable way (James Robertson, 2007). The study answered the following questions: 1.) What is the KM Model appropriate in the proposed KM Portal? 2) How do the respondents evaluate the proposed KM Portal in terms of Functionality, Reliability, Usability, Efficiency, Maintainability and Portability? 3.) What software methodology model used in the development of KM Portal? The researchers used Case Study Approach in data gathering and Descriptive Research Methodology in evaluating the KM Portal. Convenience sampling was used in data collection. The output of the research is an application of KMS approach in student’s appeal domain that will help the college to discover, capture and utilize the knowledge and turn into intellectual assets of the organization.

References
  1. Ahmed Bahgat El Seddawy, T. S. (2012). Enhanced k-mean algorithm to improve decision support system under uncertain situations. International Journal of Modern Engineering Research(IJMER) , 4094-4101.
  2. Akila, C. J. (2012). Enhanced bonding based web page information retrieval using clustering algorithm. Ijreas
  3. Barnes, S. (2002). Knowledge Management Systems, Theory and Practice. London: Thomson Learning.
  4. Botha A, Kourie D, & Snyman R, (2008), Coping with Continuous Change in the Business Environment, Knowledge Management and Knowledge Management Technology, Chandice Publishing Ltd.
  5. Burkhard & Meier.,(2004). Visualization (computer graphics). Available: http://en.wikipedia.org/wiki/Visualization_(computer_graphics)#Knowledge_visualization. [Accessed: 6 November 2014]
  6. Chatterjee, D., Grewal, R., & Sambamurthy, V. (2002). Shaping up for E-Commerce: Institutional Enablers of the Organizational Assimilation of Web Technologies. MIS Quarterly, 26(2), 65-89
  7. Chun-Wei sai, K.-W. H.-C.-S. (2009). A fast tree-based search algorithm for cluster search engine. International Conference On Systems, Man, And Cybernatics , 8.
  8. Dong, Y. L. (2013). Relationships between student satisfaction and assessment grades in a first-year engineering unit. otl.curtin.edu.au .
  9. Frank, U. (2002). A Multilayer Architecture for Knowledge Management Systems. In Barnes, S. (ed), Knowledge Management Systems: Theory and Practice. Thomsen Learning
  10. Firestone, JM., (2002).Knowledge Management and Quality Management. Available: http://www.dkms.com/papers/kmandqmrev1ppt.pdf. [Accessed: 19 December 2014]
  11. Frost, A. (2013). KM Tool. Retrieved December 22, 2014, from KMT - An Educational KM Site: http://www.knowledge-management-tools.net/knowledge-management-tools.html.
  12. Gamble, P.R., & Blackwell, J. (2001), Knowledge Management: A State of the Art Guide, Kogan Page Ltd.
  13. Ghini, C. (2012). Information Systems Development Methodology (ISDM). Retrieved June 22, 2015, from myfloridacfo: http://www.myfloridacfo.com/division/dis/isdm/
  14. Ginsburg, M., & Kambil, A.(2002). Web-based knowledge management support for document collections. In Barnes, S.(Ed.),Knowledge management systems, theory and practice.(pp128-129). London: Thomson Learning.
  15. Grimm.,et.al.(2007).Knowledge Representation and Ontologies Logic, Ontologies and Semantic Web Languages. Available: http://knoesis.wright.edu/pascal/resources/publications/kr-onto-07.pdf [accessed: 19 December 2014]
  16. Hamid Parvin, B. M.-B. (2015). A clustering ensemble framwork based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm. Journal Pattern Analysis And Applications , 87-112.
  17. Hecht, M., Maier, R., Seeber, I., and Waldhart, G. (2011), "Fostering adoption, acceptance, and assimilation in knowledge management system design", in: Lindstaedt, S., Granitzer, M.: i-KNOW '11 - Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies. Graz, Austria - September 07-09, New York: ACM Digital Library, ISBN 978-1-4503-0732-1, pp. 1 - 8.
  18. Irma Becerra-Fernandez, A. (2004). Knowledge Management Challenges, Solutions and Technologies. New Jersey: Upper Saddle River.
  19. Kendall KE, K. J. (2008). Systems analysis and design (7th ed.). Singapore: Pearson Education South Asia Pte Ltd.
  20. Krishnamurthy, R. (2012). Survey of data mining techniques on crime data analysis. Intenational Journal of Data Mining Techniques and Application .
  21. Liebowitz, J. (1999). Information Technology Management: A Knowledge Repository, CRC Press LLC, 1999
  22. Liebowitz, J. (2009). Knowledge Retention: Strategies and Solutions, CRC Press, LLC
  23. Liebowitz, J. (2011) Knowledge retention: What practitioners need to know, retrieved October 2012 from http://www.kmworld.com/Articles/ReadArticle.aspx?ArticleID=73363
  24. Methodology, R. (2015). Convenience sampling. Retrieved July 28, 2015, from Research Methodology: http://research-methodology.net/sampling/convenience-sampling/
  25. Meso, P. and Smith, R. (2000). “A Resources-based View of organizational knowledge Management Systems”, Journal of Knowledge Management, Vol. 4 No. 3, pp. 224-234.
  26. Pressman, R.S. (2011). Software engineering: A Practitioner's Approach.US: Mc-Graw Hill.
  27. Robertson, J. (2003). Where is the knowledge in a CMS? Step Two Designs. Retrieved on February 2011 from http://www.steptwo.com.au/papers/kmc_wherek/index.html
  28. Rusli Abdullah, M. H. (2005). A Framework For Knowledge Management System Implementation In Collaborative Environment For Higher Learning Institution. Journal of Knowledge Management Practice .
  29. Rogers, E. (1995). Diffusion of Innovations (4th ed., p. 519). Free Press.
  30. Rouse, Margareth.,2006. Data Warehouse or Information Warehouse. Available: http://searchsqlserver.techtarget.com/definition/data-warehouse [accessed: 19 December 2014
  31. Yin, R. (2008). Case study research: design and methods. Thousand Oaks, Calif.: Sage Publishing.
Index Terms

Computer Science
Information Sciences

Keywords

Knowledge Management Knowledge Management System Knowledge Management Support System KM Portal.