Ranking of Academic Web-sites on the Basis of External Quality Measurement

Web-sites are domain intensive and some important domains are social, cultural, entertainment, e-commerce, e-government, museum, tourism, academic, etc. It is obvious that domains of Web-sites differ significantly, and hence a common yardstick can not be applied to measure quality of all Web-sites. Signore, Loranca et al, Olsina et al, Tripathi & Kumar and others have tried to define quality characteristics that are domain specific. Shrivastava, Pandey & Kumar have specified and validated attributes, sub-attributes and metrics for measuring quality of Web-sites of academic domain. In the present work, the authors have measured quantifiable attributes (metrics) of quality for six Web-sites of academic domain. The usability, functionality, reliability and efficiency aggregation have been carried out using Logical Scoring of Preferences (LSP) method. Global aggregation of all four attributes is also carried out to rank six Web-sites.