| dc.description.abstract | In recent years, drone development has been very fast, from the original military use, now it can be applied to a wide range of applications, and logistics is precisely an important direction for the development of drone. Because drones are convenient, efficient, and save land resources and infrastructure, they are very suitable for accomplishing the ＂last mile＂ of logistics in remote villages.
This study integrates a contextual questionnaire for simple random sampling, and collects 336 valid samples in Jianshi Township, Hsinchu County, Taiwan, integrating two models, namely, theory of planned behavior (TPB) and technology acceptance model (TAM), together with the perceived risk profile, to design the theoretical framework of this study.
The theoretical framework of this study was designed to examine the significance of the paths between the key factors using partial least squares structural equation modeling (PLS-SEM) to investigate the interaction between the factors of using drones in logistics services in remote area. This study includes:(1) whether the factors of program behavior theory and technology acceptance model as well as other key factors (e.g., perceived risk) affect behavioral intention. The results showed that, except for perceived behavioral control, which had no significant effect on the path of behavioral intention to use the remote drone, the direct and indirect effects of the other paths showed significant effects; (2) Heterogeneity analysis using partial least squares multi-group analysis (PLS-MGA) yielded that gender and age had a significant effect on behavioral intention. In this study, the two potential categories were named ＂introverted users＂ and ＂extroverted users＂, and the unobservable heterogeneity also showed a significant effect. Finally, we analyze the results and discuss the management implications of drone logistics services in remote areas, and provide conclusions and recommendations. | en_US |