Towards analytical approach to effective website designs: a framework for modeling, evaluation and enhancement

Abstract

Effective website design is critical to the success of electronic commerce and digital government. Most prior website design research has taken a computational or cognitive/behavioral approach which may not yield optimal designs demanded by specific requirements. We consider website design as a structural problem which can be examined using analytical approach, such as mathematical optimization. Specifically, we propose a framework which classifies real-world design problems into generic website design categories and maps each resulting category into a graph model which can be analyzable or solved using appropriate analytical techniques. Our framework consists of generic designs and graph models, together with the necessary mapping. We classify the Web site applications and review their features proposed by previous research. We describe a generic website design category using its objective and key constraints that correspond to important design requirements. By modeling website design problems using well-defined structures and rigorous analysis methods, this framework is able to measure website accessibility in a systematic and quantifiable manner, arguably more desirable than existing qualitative ad-hoc practices. Overall, our framework can facilitate the website design process, enhance design quality, and increase ease of analysis, implementation and continuous improvement.