The acceleration of Industry 4.0 has compelled enterprises to integrate automation, cyber-physical systems, and analytics into everyday operations. Despite rapid digitalization, the effectiveness of these initiatives depends largely on the human capacity to accept and collaborate with machines. This study applies the Technology Acceptance Model (TAM) to examine behavioral and organizational factors influencing automation adoption among 900 professionals across manufacturing, logistics, and service sectors. Using descriptive-correlational design and partial least squares structural equation modeling (PLS-SEM), the study investigates how perceived usefulness (PU) and perceived ease of use (PEO... More >