首页|Data on Artificial Intelligence Described by Researchers at University of Maurit ius (Drivers and Inhibitors of Consumers’ Adoption of Ai-driven Drone Food Deliv ery Services)
Data on Artificial Intelligence Described by Researchers at University of Maurit ius (Drivers and Inhibitors of Consumers’ Adoption of Ai-driven Drone Food Deliv ery Services)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reporting out of Reduit, Mauritius, b y NewsRx editors, research stated, “This study sheds light on the determinants o f consumers’ adoption of artificial intelligence-driven drone food delivery serv ice (AI-driven DFDS) using a mixed-methods approach. Interviews with hospitality industry professionals revealed several drivers and inhibitors of AI-driven DFD S adoption.” Our news journalists obtained a quote from the research from the University of M auritius, “Using these findings, we developed a theoretical model AI-driven DFDS adoption based on the premise of the behavioral reasoning theory and innovation resistance theory. The model was tested using data collected from 1240 consumer s. The results suggest that drones’ relative advantage, perceived ubiquity, soci al influence, and green image positively influence attitudes and adoption. Risk, usage, and experience barriers have an adverse influence on attitudes and adopt ion. Consumers’ openness to new technology has a positive influence on ‘reasons for’ using AI-driven DFDS. The research makes an important theoretical contribut ion to research on the adoption of AI-driven DFDS.”
ReduitMauritiusAfricaArtificial In telligenceEmerging TechnologiesMachine LearningUniversity of Mauritius
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