AI-Supported Healthcare Technology Resistance and Behavioral Intention: A Serial Mediation Empirical Study on the JD-R Model and Employee Engagement

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 268 - 268

Published: April 8, 2025

This study combines innovation resistance theory, the stimulus–organism–response (SOR) framework, and job demands–resources model to facilitate an in-depth exploration of barriers faced by healthcare professionals psychological responses they exhibit when adopting AI-supported technologies. We conducted a questionnaire survey obtained 296 valid from examine relationship between technologies AI adoption behavioral intentions. Using SOR framework as basis, this validated serial mediation with moderating effects, demonstrating that influenced intentions through resource, demand, levels employee engagement. Further, sought validate age-moderated resource demand in employees exhibiting their associated The results indicated resources, demands, engagement serially mediated Additionally, age only exhibited significant effects on demands findings can aid promoting professionals, generating new insights broadening scope vision existing literature.

Language: Английский

The Emergence of Smart Chatbots in Online Health Services: Unveiling Adoption Intentions and Influencing Factors

Published: July 10, 2024

Language: Английский

Examining the Impact of Personalization and Carefulness in AI-Generated Health Advice: Trust, Adoption, and Insights in Online Healthcare Consultations Experiments

Technology in Society, Journal Year: 2024, Volume and Issue: unknown, P. 102726 - 102726

Published: Oct. 1, 2024

Language: Английский