Autonomous Delivery Robots for Urban Last-mile Logistics Operations: a modified UTAUT framework
Valeska Engesser, Evy Rombaut, Lieselot Vanhaverbeke, Philippe Lebeau
- 发表年份
- 2023
- 引用次数
- 7
摘要
Interest in autonomous deliveries among logistics service providers (LSP) is growing. This is due to pressure regarding emission reduction regulations, driving bans inside cities, and growing service demands. Autonomous Delivery Robots (ADR) can form a solution and help to optimize current logistics operations. This work investigates factors that might influence the behavioural intention to use ADR. Focus is on decision-makers of LSP. Data was collected through an online survey. The questionnaire is based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Results provide insights concerning factors shaping the acceptance of ADR for last-mile logistics operations. The factors performance expectancy, facilitating conditions, experience, trust, and perceived risk were found to affect the behavioural intention.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992