The Relationship Between Attitudes Toward Artificial Intelligence and Work Performance: A Case Study of Support Staff at Prince of Songkla University, Surat Thani Campus
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Abstract
This research aimed to study the attitudes and readiness for applying artificial intelligence (AI) technology and to analyze the relationship between attitudes towards AI, readiness for applying such technology, and the performance of administrative staff in the Surat Thani Campus Office, Prince of Songkla University. The sample consisted of 116 administrative staff members, representing 77.33% of the total population. The research instrument was a questionnaire, which was validated using Cronbach's alpha coefficient of 0.86. Data were analyzed using descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis. The results showed that administrative staff members had a high level of attitude towards AI (M = 4.17), a high level of overall performance (M = 4.09), and a high level of readiness for applying the technology. However, the mean score was lower than other aspects (M = 3.86). Correlation analysis showed that attitude, readiness, and performance had a statistically significant positive correlation at the .01 level. Furthermore, multiple regression analysis revealed that attitude towards AI and application readiness could jointly predict performance at a relatively high level (R² = 0.559), with attitude towards AI having a slightly greater predictive influence than application readiness. The research results reflect that promoting positive attitudes coupled with developing readiness for use, especially in terms of organizational support and access to resources, is crucial for supporting the application of AI in managerial roles and can be used as supporting information for policy planning and organizational management in the context of higher education institutions.
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