FACTORS INFLUENCING THE ACCEPTANCE OF GENERATIVE AI TECHNOLOGY USAGE IN THE WORK PERFORMANCE OF STATE ENTERPRISE EMPLOYEES IN BANGKOK

Abstract

This research aims to examine the differences in personal factors affecting the acceptance of Generative AI technology in the workplace among employees of state-owned enterprises in the Bangkok metropolitan area, specifically focusing on gender, age, education level, length of service, and personal income; to study the factors influencing the acceptance of Generative AI technology in the workplace among this group; and to provide data that organizations can use as a guideline for making decisions regarding the adoption of Generative AI technology. The study employed quantitative research methodology with a survey design. Data was collected through questionnaires from 397 individuals who are employees of state-owned enterprises in Bangkok and utilize AI technology in their work, using a non-probability sampling method, specifically convenience sampling. The data was analyzed using both descriptive and inferential statistics. The findings revealed that age, education level, length of service, and average income significantly influenced the acceptance of Generative AI technology in the workplace, based on Independent Samples t-test and One-Way ANOVA at the 0.05 significance level, while gender did not have a statistically significant impact. Furthermore, four variables were found to significantly affect the acceptance of Generative AI technology at the 0.05 level: behavioral intention, perceived ease of use, perceived usefulness, and attitude, ranked according to the regression coefficients.