Factors Influencing the Acceptance of Artificial Intelligence Technology Affecting Organizational Readiness for Support and Supervision: A Case Study of Provincial Offices for the Promotion of Local Administration in the Lower Northern Region

Abstract

This research article aims to study (1) the level of acceptance and awareness of artificial intelligence technology among personnel in the Provincial Local Administration Promotion Offices in the lower northern region, (2) the level of organizational readiness to adopt artificial intelligence technology for support and oversight, (3) the influence of these factors on organizational readiness and (4) Guidelines for developing organizational readiness to enhance the efficiency of public services. A mixed-methods approach integrating quantitative and qualitative research was employed. Questionnaires and in-depth interviews served as the primary data collection tools. The quantitative sample consisted of 162 personnel selected through stratified and simple random sampling, while 17 key informants participated in the qualitative phase. Data analysis utilized descriptive statistics, multiple regression analysis, and content analysis. The research results found that (1) the factors of acceptance and awareness of artificial intelligence technology of personnel were at a high level, showing a positive attitude towards the application of AI in government work. (2) The organization's readiness to adopt artificial intelligence technology is at a high level, reflecting the preparation of infrastructure and operating systems to support new technology. (3) The influence of factors on acceptance and perception of artificial intelligence technology on organizational readiness had a predictive power of 67.80 percent and 94.70 percent. Hypothesis testing results indicate that perceived benefits, ease of use, and attitudes towards AI have a significant positive impact on organizations' readiness to adopt AI to enhance the efficiency of public services; and (4) Guidelines for developing organizational readiness include: defining data standards, information security, and AI quality control systems; developing a 3-5 year AI master plan; developing the skills and attitudes of personnel; establishing pilot areas to test the system before actual use; and strengthening cooperation between agencies. All of these are important factors that help organizations to use AI safely, transparently, and to the greatest benefit of the people in the lower northern region.