CAUSAL FACTORS INFLUENCING THE PREVENTION CYBERCRIMES AMONG PERSONNEL IN THE ROYAL THAI POLICE
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Abstract
This research article aims to study the factors influencing the prevention of technology related crimes by personnel in the Royal Thai Police. It examines the causal relationship model of technology crime prevention among personnel in the Royal Thai Police with empirical data and explores the impact of factors influencing the prevention of technology-related crimes by personnel in the Royal Thai Police. This is a quantitative research study. The sample group consists of 500 personnel working in the Technology Crime Investigation Division of the Royal Thai Police, selected using proportional random sampling. The research tool is a questionnaire with a reliability value greater than 0.80. Data was collected using the questionnaire. The statistics used in the research and data analysis include mean, standard deviation, and structural equation modeling analysis.
The research results found that all variables influencing the prevention of technology-related crimes by personnel in the Royal Thai Police were at a agree level, with the variable “intention to use technology” having the highest mean. The causal relationship model of technology crime prevention by personnel in the Royal Thai Police showed that the measurement model confirmed the subcomponents of all seven variables and was consistent with empirical data. The structural model also aligned with the empirical data. The causal factors with the most significant influence on the prevention of technology-related crimes include the intention to use technology, perceived ease of use of technology, self-efficacy, subjective Norm, trust, and perceived usefulness of technology, respectively. These factors were statistically significant at the .01 level. The six variables together explained positive technology crime prevention (R2) at 0.89.
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