A Review of Determinants Influencing Artificial Intelligence Systems Adoption

Abstract

This paper seeks to pinpoint and explain the elements that affect the adoption of AI at both the organisational and individual levels. By crafting a conceptual model, it enriches our comprehension of the fundamental individual, social, technological, organizational, and environmental influences and paves the way for future inquiries in this domain. This research has categorized the elements affecting AI system adoption into individual, social, organizational, environmental, and technological dimensions. Organizational factors were discovered to influence how employees respond to AI systems. Additional exploration is essential to discern how these factors shape employee perceptions, feelings, and actions regarding novel AI systems. These insights prompted the creation of a theory-based model that illustrates the connections between these elements, contesting the notion of independence among adoption influencers at both the organisational and individual levels. This investigation is among the pioneering efforts to amalgamate existing insights on the drivers of AI adoption, establishing a theoretical base for further studies in this burgeoning area. The adoption model constructed integrates vital factors from both organisational and individual perspectives, providing a comprehensive outlook on the interrelatedness of various AI adoption elements. This methodology questions the belief that factors at the organisational and individual levels function separately. Through this, information systems scholars and practitioners attain a richer understanding of AI uptake, deepening their awareness of its potential ramifications.