A Quantile Regression for Computer Crimes Act in Thailand

In this study of 411 university students in the Chiang Mai region, the focus was on assessing their awareness and understanding of computer related offenses under the Computer Crime Act of 2017. Utilizing the Quantile regression model, the research identified influential factors. Age was found to positively correlate with increased awareness and comprehension of computer related offenses, attributed to life experiences and extended exposure to digital technologies. Additionally, higher GPAs were associated with greater awareness, suggesting academic institutions’ role in shaping digital ethics understanding. In addition, the greater the experience seen in the EXPERIAN variable, the greater the level of awareness and understanding of computer crimes. This study offers valuable insights into the nuanced dynamics of digital ethics awareness and understanding, with age, academic performance, and internet experience as pivotal factors.