A Model of Web Site Quality Assessment

Abstract

The article presents a hierarchical framework that supports Web site quality assessment. The framework is composed of a hierarchical structure of criteria and subcriteria and makes use of the analytic hierarchy process to enhance criterion and subcriterion weight value assessment during group assessment. To validate the framework the authors conducted an experiment that involved assessing the Web sites of the three cellular phone service providers in Greece by 122 users. Results confirmed framework validity and rotated factor analysis supported reduction of the original model to a Web site quality-scoring framework, which involves nine composite quality criteria.

• Web site quality assessment
• analytic hierarchy process
• group assessment of Web site quality

Additional information

Notes on contributors

Vassilis Moustakis

Vassilis Moustakis earned his doctor of science degree in engineering management from The George Washington University, Washington, D.C. He also holds a diploma in mechanical production engineering from the University Patras. He is the director of the Management Systems Laboratory and an associate professor at the Department of Production and Management Engineering, Technical University of Crete, and an Affiliated Research Scientist at the Institute of Computer Science, Foundation for Research and Technology—Hellas (FORTH) in eHealth. Moustakis specializes in Management of Web services and symbolic machine learning and has contributed from a vantage perspective to several R&D projects funded via the European Union, the Greek Government, and private and governmental agencies in the United States. He can be reached by e-mail at [email protected].

Loukas Tsironis

Loukas Tsironis is a lecturer in management systems at the Technical University of Crete. He holds a bachelor's degree in Forestry and Natural Environment from the Aristotelian University of Thessaloniki, and a master's degree and a doctorate degree in engineering management systems from the Technical University of Crete. He is a scientific and project manager in the Management Systems Laboratory. He specializes in business process management, workflow management systems, supply chain management, and quality management. His research interests extended on the research of quality dimensions in new technologies such as machine learning, knowledge discovery from databases, e-Commerce, and Web Services, on which he recently published several articles in journals and referred conferences.

Charalampos Litos

Charalampos Litos earned his doctor of science in engineering management from the Technical University of Crete in Greece. He also holds a diploma in production engineering and management and a master's of science in management from the same university. He is a professor and researcher under labor agreement at the Technical University of Crete. He specializes in human resources management and logistics, and has contributed to several R&D projects funded via the European Union, the Greek Government, and private and governmental agencies.