University website quality comparison by using non‐parametric statistical test: a case study from Malaysia

University website quality comparison by using non‐parametric statistical test: a case study from Malaysia

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Article ID: iaor20131838
Volume: 16
Issue: 3
Start Page Number: 349
End Page Number: 374
Publication Date: Feb 2013
Journal: International Journal of Operational Research
Authors: , ,
Keywords: datamining, statistics: inference, analytic hierarchy process, decision, fuzzy sets
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.

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