Russian Managers’ Intentions to Use Artificial Intelligence in Managerial and Organizational Decision-Making

The present paper constitutes the final qualifying paper in this series, the focus of which is an investigation of the behavioural intentions of the Russian population. This paper sets out the views of managers on the use of artificial intelligence (AI) in management and organisational decision-making. Despite the extensive literature on AI adoption worldwide, the Russian context is under-researched, as cultural and institutional factors create unique obstacles and incentives for AI implementation in management. The present study proposes an adapted version of the Integrated AI Acceptance and Avoidance Model (IAAAM), as proposed by Cao et al. (2021), which incorporates three additional factors reflecting Russian specificities: institutional distrust, fear of loss of control, and hierarchical influence. In order to ascertain the validity of the model, an online survey was administered in April 2025, with 152 mid- and senior-level managers from Russian organisations participating. The analysis of the data was conducted using a structural equation model (PLS-SEM), with the software SmartPLS 4. The findings support the significant impact of anticipated usefulness and hierarchical influence on behavioural intentions, whereas anxiety and perceived threat reduce acceptance. This research makes a significant contribution to the advancement of AI adoption models in cross-cultural settings and provides practical recommendations for human resources, information technology managers, and solution integrators.