GenAI Use Behavior and Post‐Failure Perceptions Among People With Functional Disabilities: A Multimethod Study

ABSTRACT Based on two complementary studies, this paper explores how people with functional disabilities interact with generative artificial intelligence (GenAI). Study 1 used a genetic algorithm to identify key factors influencing GenAI use behavior. These factors were then tested using Bayesian linear regression. The analysis was extended using inverse probability weighted regression adjustment (IPWRA) to study the moderating role of perceived value in the relationship between behavioral intention and use behavior. Study 2 employed a one‐factor, two‐level (GenAI vs. human officer) between‐subjects experimental design to investigate how people with functional disabilities perceive GenAI failures compared to human errors. GenAI use behavior was found to be directly influenced by habit, promotional benefits, trust, and behavioral intention, with perceived value acting as a moderator. Exposure to GenAI failures reduced inferential trust significantly more than exposure to human errors. However, this effect was moderated by users’ attitudes and use behavior. Users with favorable attitudes and GenAI use were more resilient to generalized distrust. This paper contributes to the debate around inclusive technological innovation and behavioral research by showing that people with functional disabilities are active agents in GenAI adoption. The paper thus raises awareness of how use behavior, perceived value, and post‐failure perceptions interact. Practically, it provides marketers, GenAI developers and policymakers with actionable strategies for inclusive GenAI design and failure management.