Grouping Working Aged Thai Workers Based on their Acceptance of Artificial Intelligence
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Abstract
Understanding the level of artificial intelligence (AI) acceptance of working age personnel is the fundamental information that the relevant agencies could use to determine the strategies to drive the use of AI systems. This research has the objective to group working age personnel based on technology readiness and adoption level. The study examines the acceptance and intention to use AI of utilizing the online survey research method for data collection. A total of 1,038 responses were collected. The statistical analysis was conducted using inferential statistics and K-means cluster analysis. The research findings indicated working age Thais could be classified into two groups. The first group are those who are familiar with using technology systems and big data. They have computer skills and use online media having no limitations in Internet access. Also, they could learn from various sources including content in English more than the second group, who were not familiar with technology systems. These two groups differed significantly on the factors of knowledge about AI systems definition (t=5.544, P=.000), performance expectancy (t=6.398, P=.000), effort expectancy to use AI tools (Effort expectancy -Competencies-CMP) (t=5.951, P=.000), facilitating conditions – data privacy (t=10.393, P=.000), and intention to use AI (t=5.081, P=.000). The two groups did not differ significantly on the factor of social influence on ethical problems in using AI systems (Social influence - Ethics - ETH) (t=1.737, P=.0.83).
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References
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