Artificial Intelligence Integration in e-Government: Insights from the Korean Case

The integration of artificial intelligence (AI) into e-Government framework, exemplified by Korea's approach, marks a paradigmatic shift in global governmental operations. AI, evolving from its initial theoretical foundations to advanced applications in areas like machine learning, predictive analytics, and natural language processing with large language models, is significantly transforming e-Government infrastructures. This transformation, with Korea among the leading nations, led to a study evaluating the potential impact of AI integration in the Korean e-Government system. Employing a robust crosssectional quantitative methodology, the study tested seven hypotheses to examine Korean officials' perspectives on AIenhanced e-Government system acceptance, considering variables such as social influence, trust, and attitude. Methods namely Partial Least Squares Structural Equation Modeling and the Statistical Package for the Social Sciences were used to analyze these aspects addressing research gaps and their implications for AI purveyors, policymakers, and foreign governments. This research is presumed to advance the discourse on the implementation and reception of AI in eGovernment.