IF 2.7 Q1 GEOGRAPHY
Mariana Montero-Vega , Miquel Estrada , Matthieu Prouvier , Alexander Siebeneich
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引用次数: 0

摘要

自动送货机器人的最新进展有可能改变当前的城市货运模式,降低运营成本,提高可靠性和安全性。然而,关于全球用户将如何看待这些即将推出的解决方案的信息却十分有限。本研究旨在找出影响自主配送机器人当前用户和未来用户的关键特征。它采用了两个统计模型,基于对欧洲、亚洲和美国 1344 名电子商务客户的实地研究来解释这些特征。一个有序对数模型结合了来自三大洲的数据,深入分析了影响全球当前自主配送机器人需求的因素。此外,我们还采用了三个独立的结构方程模型来分析未来需求,每个模型侧重于一个特定地区,便于比较影响各地区潜在使用情况的关键变量。"已经熟悉自动送货机器人技术的人往往会表现出更高的接受度,这主要是受其设计、在城市环境中感知到的环境效益以及对该技术的整体信任和良好认知等因素的影响。在所调查的三个地区中,易用性始终是共同的优先考虑因素。然而,在欧洲和美国,成本因素和与技术能力相关的预期风险发挥着更重要的作用,而在欧洲和亚洲,社会影响因素则对技术的采用产生了重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous delivery robots: differences in consumer´s acceptance in the USA, Europe, and Asia
Recent advancements in autonomous delivery robots have the potential to transform the current paradigm of urban freight transport, lowering operational costs and improving reliability and safety. However, there is limited information on how users across the world will perceive these upcoming solutions. The study aims to pinpoint the key features influencing current users and future users of autonomous delivery robots. It employs two statistical models based on a field study of 1344 e-commerce customers across Europe, Asia, and the USA to explain these characteristics.
An ordered logit model combines data from all three continents to give insights into the factors influencing global current demand for autonomous delivery robots. Additionally, three independent structural equation models, each focusing on a specific region were employed to analyze future demand, facilitating a comparison of key variables influencing potential usage across regions.
Individuals already familiar with ADR technology tend to show greater acceptance, influenced by factors such as its design, perceived environmental benefits in urban settings, and overall trust and good perception toward the technology. Across the three surveyed regions, ease of use consistently emerges as a shared priority. However, in Europe and the USA, cost considerations and the perceived risks associated with technology competence play a more significant role, while social influences strongly impact adoption in Europe and Asia.
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CiteScore
2.90
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