Managing generative artificial intelligence in the daily lives of people with disabilities

Purpose This research examines whether people with disabilities (PwDs) are willing to adopt generative artificial intelligence (GenAI) and identifies the factors influencing their use behavior in their daily lives. Design/methodology/approach The theoretical framework presented in this study integrates the unified theory of technology acceptance and use (UTAUT) and its extension, the UTAUT2, with the stimulus-organism-response (S-O-R) model. Empirical data were quantitatively analyzed using SmartPLS 4. Findings Effort expectancy, facilitating conditions and hedonic motivation (stimuli) positively affect perceived value (organism). Anxiety (stimulus) exerts a negative effect on perceived value. Perceived value generates a response by significantly affecting behavior intention, which drives GenAI use behavior in PwDs’ daily lives. If these stimuli are not properly managed, they lead to non-use by PwDs, resulting in avoidance behavior. Research limitations/implications This study enriches the technological innovation management literature by presenting a theoretical framework of the stimuli that affect GenAI use behavior by PwDs. Practical implications By underlining the interplay between PwDs and new technologies, this study offers practical implications and recommendations for tech and non-tech companies, policymakers and regulators to implement advanced technologies inclusively. It guides these practitioner groups to enhance user-centered innovation by adhering to the principles of inclusive technology design. Originality/value This study offers an inclusive analysis of GenAI use behavior by PwDs. Its originality lies in focusing on PwDs’ perceptions rather than predefined corporate-driven factors.