Analyzing the Quality of Saudi E-Government Municipalities' Websites Services Using Layne and Lee model

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Shatha Ali Al Asem, Fatmah Abdulrahman Baothman

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Abstract

Government website attributes are indispensable in aid of interface with its services, and an evaluation of the stages of advancement for these sites is imperative to systematic assistance delivery. This research aims to support new Saudi e-government initiatives and to incorporate a more diverse range of citizens in e-governance. The work evaluated the features of nineteen municipality websites for four regions, Aseer, Najran, Jazan, and Al Bahah, in south of Saudi Arabia using content analysis and Website Attribute Evaluation System (WAES). The tool measures specific indicators of performance assessment at each stage of the four stages of Layne and Lee model approach namely vertical integration attributes, information content, transactions and horizontal integration based on the twenty-nine selected content measures. To estimate the differences and associations between regions’ websites plus examining the developmental growth of the four-stage model, ANOVA and chi-square tests were applied.

 

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