Aggregated Indices in Website Quality Assessment
Karol Król , Dariusz Zdonek
AbstractWebsite users have increasingly high expectations regarding website quality, starting from performance and ending up with the content. This article provides a list and characteristics of selected website quality indices and testing applications that are available free of charge. Aggregated website quality indices were characterised based on a review of various source materials, including the academic literature and Internet materials. Aggregated website quality indices are usually developed with a less specialised user (customer) searching for descriptive information in mind. Their presentation is focused on aesthetic sensations. Most frequently, their values are expressed in points or percent. Many of these indices appear to be of little substantive value, as they present approximate, estimated values. These indices, however, are of great marketing value instead. Specific (“single”) indices are of a specialised nature. They are more difficult to interpret and address the subtle aspects of website and web application functioning. They offer great value to designers and software developers. They indicate critical spots which affect the website quality. Most of them are expressed precisely, often up to two or three decimal places, in specific units. Algorithmic tests for website quality, whose results are presented using indices, enable a reduction in the cost intensiveness of tests as well as an increase in their number and frequency, as the tests are repetitive and their number is not limited. What is more, they allow the results to be compared.
|Journal series||Future Internet, ISSN 1999-5903, e-ISSN 1999-5903, (N/A 40 pkt)|
|Publication size in sheets||1.1|
|Keywords in English||Quality indices; visibility; performance; accessibility; effectiveness; audit; measurement|
|License||Journal (articles only); author's original; ; after publication|
|Publication indicators||= 0; : 2018 = 0.869|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.