Background: The integration of Artificial Intelligence (AI) into E-Business supply chains is revolutionizing operations management by enabling predictive analytics, autonomous decision-making, and robotic process automation. Despite its potential, adoption rates remain fragmented.

Objective: This study investigates the determinants influencing AI adoption in e-business supply chains by integrating the Technology-Organization-Environment (TOE) framework with the Technology Acceptance Model (TAM).

Method: This study uses a simulated dataset created for academic training purposes. A quantitative approach was employed using simulated responses from 420 e-business operations and IT managers. Covariance-Based Structural Equation Modeling (CB-SEM) was conducted using AMOS.

Key Results: Perceived usefulness (β = 0.41, p < 0.001) and organizational readiness (β = 0.35, p < 0.001) emerged as the strongest predictors of AI adoption. Competitive pressure (environmental context) had a surprisingly weak direct effect.