The emergence of the World Wide Web as a major communication and transaction channel stresses the preeminent importance of a company's Web site for representing the organization, interacting with customers and conducting transactions. In comparison to other channels, the opportunities for targeting specific market segments are somehow limited, due to the Internet's worldwide reach and predominantly anonymous users. Additionally, an ever-increasing number of customers are going online, which prevents the fine tuning of a site for specific user groups. Therefore, it seems essential that organizations possessing Web presence should be well aware of their site's general functionality and how it is perceived by Internet users. For many years the analysis of Web sites has been one of the major topics for both scholars and practitioners, which led to a huge number of different techniques being used for the evaluation of sites. Furthermore, a variety of different theories and models have been developed which include the effects of Web sites as dependent or independent variables. In this paper, I compare different approaches to Web site analysis and present a classification framework. Numerous examples will be given to illustrate the various dimensions of the framework. Furthermore, benefits and drawbacks of the respective methods will be discussed where applicable. The results provide important insights into the current state of the art of Web analysis and will be supportive for anyone planning to conduct a Web analysis as well as for someone who is interested in getting an overview of the research field.
"Web Site Analysis: A Review and Assessment of Previous Research,"
Communications of the Association for Information Systems: Vol. 19
, Article 39.
Available at: https://aisel.aisnet.org/cais/vol19/iss1/39