Grouping Students According to IT-Related Ethical Behavior: An Application of the Clustering Algorithm

Information technology is widely used by college students. However, the extent to which students are ethical when using Information Technology is questionable. In an attempt to understand the ethical use of Information... [ view full abstract ]

Information technology is widely used by college students. However, the extent to which students are ethical when using Information Technology is questionable. In an attempt to understand the ethical use of Information technology, this study is developed. This study is concerned with the students’ knowledge and intent to act ethically. In order to do so, the data is collected by the distribution of a survey. Development of the survey is not within the premises of the study. The survey replies are coded into numerical values. The data is further processed and prepared for the application of the mining algorithm. This study aims to categorize students into groups according to their knowledge level. In order to so, Microsoft clustering algorithm is applied. The results reveal students with the highest ethical knowledge acts least ethically.