| 摘要: | 無人機近幾年來發展得非常快速，從原本用於軍事用途，如今可應用的範圍可說相當廣泛，而物流正是無人機能發展的重要方向。因為無人機具有方便高效、節約土地資源和基礎設施等特性，這對於完成偏鄉物流「最後一哩路」是非常適合的。
本研究整合了情境式問卷進行簡單隨機抽樣，於新竹縣尖石鄉蒐集336個有效樣本，綜合計畫行為理論(theory of planned behavior, TPB)和科技接受模式(technology acceptance model, TAM)兩種模式，再加上感知風險構面，設計本研究之理論框架，利用偏最小平方結構方程式(partial least squares structural equation modeling, PLS-SEM)來檢驗關鍵因素間的路徑顯著性，以調查使用無人機於偏鄉物流服務各因素間的交互影響關係。
本研究內容包括：(1)計畫行為理論及科技接受模型的因子以及其他關鍵因素(例如感知風險)是否會影響行為意向。結果顯示，除了感知行為控制對使用偏鄉無人機的行為意向之路徑沒有顯著性影響之外，其餘路徑之直接與間接效果皆呈現顯著性影響；(2)異質性分析利用多群組分析(partial least squares multi-group analysis, PLS-MGA)得出性別及年齡存在部分路徑的區隔效果，即是可觀測異質性呈現顯著性的效果；而不可觀測異質性分析是透過PLS-POS找出樣本存有兩個潛在類別，本研究將此兩個潛在類別命名為「內向使用者」和「外向使用者」，不可觀測異質性也呈現顯著性效果。最後分析結果並探討偏鄉無人機物流服務的管理意涵策略，並提出結論與建議。
;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. |
