Figure 1.
The flowchart presents a conceptual framework linking A I skill proficiency, technical and non-technical, to A I adoption outcomes. A I Skill Proficiency, Technical and Non-Technical, appears at the top and branches into two components. One branch influences perceptions and connects to T A M Factors, including Perceived Usefulness, Perceived Ease of Use, Self-Efficacy, and Attitude Toward A I. The second branch shapes innovation view and connects to D O I Attributes, including Relative Advantage, Compatibility, Complexity, Trialability, and Observability. Both components converge and interact with context through Contextual Factors, which include Infrastructure, Organisational Readiness, Policy and Regulation, and Social-cultural Context. Contextual Factors then enable or constrain adoption and lead to A I Adoption Outcomes, including Integration into Practice, Efficiency and Productivity Gains, and Innovation and Sustainability.Conceptual framework for AI skills proficiency and adoption in the built environment
Source: Authors’ own creation