eprintid: 4033 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/40/33 datestamp: 2023-11-09 15:52:19 lastmod: 2023-11-09 15:52:19 status_changed: 2023-11-09 15:48:10 type: article metadata_visibility: show creators_name: Dominic, P.D.D. creators_name: Jati, H. creators_name: Hanim, S. title: University website quality comparison by using non-parametric statistical test: A case study from Malaysia ispublished: pub note: cited By 10 abstract: This research conducts some tests to measure the quality of Malaysian University website via web diagnostic tools online. We propose a methodology for determining and evaluating the best university website based on many criteria of website quality, consist of linear weightage model (LWM), analytical hierarchy process, fuzzy analytical hierarchy process (FAHP) and new hybrid model (NHM). This NHM has been implemented using combination of LWM and FAHP to generate the weights for the criteria which are better and more fairly preference. The result of this study confirmed that most of the Malaysian University websites are neglecting performance and quality criteria. By applying hybrid model between LWM and FAHP approach for website evaluation has resulted in significant acceleration of implementation, raised the overall effectiveness with respect to the underlying methodology and ultimately enabled more efficient and significantly equal or better procedure compared with other methods. Copyright © 2013 Inderscience Enterprises Ltd. date: 2013 publisher: Inderscience Publishers official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874697383&doi=10.1504%2fIJOR.2013.052335&partnerID=40&md5=217e22e71a4bb47bf2897ad7ebc31a60 id_number: 10.1504/IJOR.2013.052335 full_text_status: none publication: International Journal of Operational Research volume: 16 number: 3 pagerange: 349-374 refereed: TRUE issn: 17457645 citation: Dominic, P.D.D. and Jati, H. and Hanim, S. (2013) University website quality comparison by using non-parametric statistical test: A case study from Malaysia. International Journal of Operational Research, 16 (3). pp. 349-374. ISSN 17457645