电动滑板车共享购买意愿的影响因素——基于技术接受与使用统一理论(UTAUT2)的分析

B. Putri, Farhan Atha, Fathiyya Rizka, R. Amalia, Shafira Husna
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引用次数: 4

摘要

交通运输消耗了大量的能源,消耗了世界上大部分的能源。因此,它对环境产生影响,如二氧化碳、一氧化碳、氮氧化物、碳氢化合物或挥发性有机化合物以及颗粒物等形式的空气污染。这些化合物导致了一种叫做全球变暖的现象。在运输部门中,公路运输是造成全球变暖的最大因素。为了应对全球变暖,发达国家的环境法规正试图减少个人车辆的排放。但是,车辆数量的增加和每辆车的使用量的增加抵消了这一点。因此,微交通可能会缓解当今大城市面临的一些挑战,并提供更可持续的城市交通。本研究利用UTAUT2的框架来识别和构建定量方法来识别电动滑板车共享购买意愿因素的相关因素。200名回答者的现场数据是在雅加达大都市区(Jabodetabek)收集的,因为污染水平迅速增加。线性回归研究发现,消费者对共享电动滑板车的购买意愿主要受7个因素的影响:性能期望、努力期望、社会影响、便利条件、享乐动机、价格价值和习惯。这些因素可以解释81%的现场数据。并根据研究结果对相关利益相关者提出了简短的建议,以促进电动滑板车共享的采用。分析结果的现实意义是建议政策措施,提高电动滑板车共享的环境影响效力,加强循环经济作为绿色经济成果的一部分在社区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Affecting E-Scooter Sharing Purchase Intention: An Analysis Using Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)
Transportation uses a significant amount of energy and burns most of the world energy consumers. As a result, it gives effect to the environment, such as air pollution in the forms of carbon dioxide, carbon monoxide, nitrogen oxide, hydrocarbons or volatile organic compounds, and particulate matter. Those compounds contribute a phenomenon called global warming. Within the transportation sector, road transport is the largest contributor to global warming. To cope with global warming, environmental regulations in developed countries are trying to reduce the individual vehicle's emissions. However, this has been counterbalanced by an increase in the number of vehicles and increased use of each vehicle. Therefore, micro-mobility may alleviate several challenges facing big cities today and offer more sustainable urban transportation. This research utilizes the framework of the UTAUT2 to identify and build a quantitative approach to identify factors related to the purchase intention factors of e-scooter sharing. The 200 respondents' field data were collected in Jakarta Metropolitan Area (Jabodetabek) as a rapid increase in pollution level. The linear regression study revealed that the consumers' purchase intention of e-scooter sharing is shaped by seven main factors: performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, price value, and habit. Those factors can explain 81 percent of the field data. Moreover, a brief recommendation for related stakeholders based on the research result is proposed to increase the adoption of e-scooter sharing. The practical implication resulted from this analysis are suggested policy measures the e-scooter sharing environmentally impact potency and strengthening circular economy as a part of green economy achievement in the communities.
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