Drone food delivery services adoption and consumer well-being: A dual-method approach
研究了无人机送餐服务中价值动机和风险因素如何影响信任、态度、使用意愿及消费者福祉，基于越南427份调查数据，采用结构方程模型和神经网络分析。
While prior research on drone food delivery services has primarily examined consumer adoption intentions, the broader impact on consumer well-being remains underexplored. To address this gap, this study integrates push-pull theory and self-determination theory to examine how value-based motivators and risk-based inhibitors influence trust, attitude, intention to use, and perceived well-being. Survey data from 427 respondents in Vietnam were analyzed using partial least squares structural equation modeling and artificial neural networks. Results indicate that functional, social, and emotional values, as well as specific risks, differentially shape trust and attitude. Trust and attitude both enhance intention and perceived well-being, with AI awareness and promotion focus moderating several relationships. These findings advance understanding of the psychological impacts of DFDS adoption and offer actionable implications for service providers (e.g., tailoring communication and segmentation strategies) and policymakers (e.g., supporting the safe integration of drone logistics) seeking to maximize well-being benefits through innovative delivery technologies.