Acceptance of and Trust in the Use of Artificial Intelligence in Organisational Management
TL;DR
It is indicated that effectively implementing AI in management requires parallel development of employee competencies, building trust in technology and implementing ethical and supervisory standards, in which technology plays a supporting role rather than replacing the human factor.
Abstract
The study aimed to examine acceptance of, and trust in, artificial intelligence in organisational management. The study was based on a quantitative approach and conducted using a diagnostic survey. The CAWI method was used to conduct the study. The questionnaire was first verified by experts in artificial intelligence and business analysis before being made available to respondents. It included questions about respondents' experience with AI, their level of competence, the perceived benefits and threats of AI, their trust in AI-assisted decisions and their assessment of this technology's impact on organisational functioning. Trust in AI is conditional, acceptance of its use hinges on human control, transparent systems, and the ability to audit decisions. While AI is seen as conducive to the development of new management practices and innovation, its direct impact on operational efficiency remains unclear. Respondents emphasise the irreplaceable role of humans in areas requiring emotional intelligence, ethics, motivation and creativity. The conclusions indicate that effectively implementing AI in management requires parallel development of employee competencies, building trust in technology and implementing ethical and supervisory standards. These findings align with the socio-technical systems approach and the human–AI cooperation model, in which technology plays a supporting role rather than replacing the human factor.