Artificial intelligence is becoming an important part of modern organizations. This is also evident in public administration, where it can contribute to more efficient work, faster access to information, data processing and support for various tasks. Nevertheless, its use depends on individual and organizational factors. The aim of this thesis was to analyse factors influencing the acceptance of artificial intelligence in organizations, with a focus on public administration.
The theoretical part addressed the acceptance of artificial intelligence in organizations, with the TAM and UTAUT as the main foundations. In the empirical part, a quantitative survey was conducted among public administration employees. The data were analysed using descriptive statistics, correlation analysis, linear regression and analysis of variance (ANOVA).
The research showed that perceived usefulness and perceived ease of use positively affect the intention to use artificial intelligence. It was also found that a positive attitude toward artificial intelligence and organizational support positively affect the intention to use artificial intelligence. The results also show that the intention to use artificial intelligence positively affects its actual use at work. In the analysis of age differences, it was shown that employees statistically differ only in perceived ease of use.
The findings contribute to understanding factors influencing the acceptance of artificial intelligence in organizations. They highlight the importance of perceived usefulness, ease of use, a positive attitude toward artificial intelligence and organizational support in shaping the intention to use artificial intelligence, as well as the importance of intention for its actual use in public administration.
|
