Guidelines on the Prevention of Offenses under Thailand’s Computer-Related Crime Act for Industrial Business

Abstract

The objective of this research was to develop guidelines on the prevention of offenses under Thailand’s computer-related crime act for industrial business. This research was conducted both qualitatively and quantitatively. Quantitative data were obtained from a questionnaire survey with 500 IT executives in the industrial sector. The data analysis employed descriptive, inferential, and descriptive statistics. The results found that guidelines on the prevention of offenses under Thailand's computer-related crime act for industrial business can be prioritized in all four components as follows: 1) morality (X̅ = 4.21), 2) workforce (X̅ = 4.18), 3) internal control (X̅ = 4.16), and 4) punishment (X̅ = 4.14). The hypothesis testing revealed that large, small, and medium-sized industrial businesses gave a significant difference to guidelines for the prevention of offenses under Thailand's computer-related crime act at a statistically significant level of 0.05. The results of the developed structural equation modeling showed that all values were above the evaluation criteria and consistent with the empirical data. The chi-square probability level value was 0.092. The relative chi-square was 1.134. The conformity index was 0.960. The root index of the squared mean of the error estimation was 0.016.