Attitude Toward Artificial Intelligence (AI) and Perceived AI Use Self-efficacy Predicting AI Use at Work of Personnel

Abstract

This research aimed to: (1) study the levels of attitude toward artificial intelligence (AI), perceived AI use self-efficacy, and AI use at work. (2) examine the relationship between attitude toward artificial intelligence (AI) and AI use at work. (3) examine the relationship between perceived AI use self-efficacy and AI use at work. and (4) predict AI use at work based on attitude toward artificial intelligence (AI) and perceived AI use self-efficacy. The sample consisted of 317 non-academic staff from public educational institutions in Bangkok, determined using G*Power software. Stratified random sampling was employed, and data were collected using a questionnaire. Data analysis was conducted using descriptive statistics, including frequency, percentage, mean, and standard deviation and inferential statistics included Pearson’s correlation coefficient and stepwise multiple regression analysis.

           The findings revealed that the level of attitude toward artificial intelligence was at the highest level, while perceived AI use self-efficacy and AI use at work were at a high level. Attitude toward artificial intelligence (r = .781) and perceived AI use self-efficacy (r = .813) were positively correlated with AI use at work at the .01 level of significance. Furthermore, perceived AI use self-efficacy and attitude toward artificial intelligence significantly predicted AI use at work, accounting for 69.90% of the variance (R² = .699) at the .01 level of significance.