巴基斯坦电动摩托车的采用:一个技术接受模型的视角

IF 2.6 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Sajan Shaikh, Mir Aftab Hussain Talpur, Farrukh Baig, Fariha Tariq, Shabir Hussain Khahro
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引用次数: 0

摘要

电动摩托车(em)在人口密集的亚洲国家越来越受欢迎,为对抗交通污染提供了环保的解决方案。各国政府和当局迫切希望推动新兴市场减少对传统燃油摩托车的依赖。虽然先前的研究已经探讨了新兴市场的潜在影响,但对巴基斯坦公众的采用意愿的关注有限。本研究采用扩展的技术接受模型(TAM)框架,探讨影响巴基斯坦企业采用新兴市场行为意向的因素。扩展模型结合了感知价值和环境问题,以及感知有用性和感知易用性,以评估它们对新兴市场采用意图的影响。根据从巴基斯坦卡拉奇的228名受访者收集的数据,估计结构方程模型可以确定影响新兴市场采用的重要因素。研究结果强调了感知价值和环境关注对行为意图的实质性影响,感知易用性通过感知有用性发挥中介作用。研究结果表明,有效的市场营销和人性化的电动汽车设计,再加上精心设计的政策和教育,可以大大促进公众对电动汽车的采用,促进向可持续交通替代方案的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adoption of Electric Motorcycles in Pakistan: A Technology Acceptance Model Perspective
Electric motorcycles (EMs) are gaining popularity in densely populated Asian countries, offering environmentally friendly solutions to combat traffic-related pollution. Governments and authorities are eager to promote EMs to reduce reliance on traditional fuel-based motorcycles. While prior research has explored the potential impacts of EMs, limited attention has been given to the adoption intentions of the Pakistani public. This study investigates the factors influencing the behavioral intentions of adopting EMs in Pakistan, employing an extended technology acceptance model (TAM) framework. The extended model incorporates perceived values and environmental concerns, along with perceived usefulness and perceived ease of use, to assess their impact on EM adoption intentions. Based on data collected from 228 respondents in Karachi, Pakistan, structural equation models were estimated to identify significant factors affecting EM adoption. Findings highlight the substantial influence of perceived value and environmental concern on behavioral intentions, with perceived ease of use playing a mediated role through perceived usefulness. Results suggest that effective marketing and user-friendly EM designs, coupled with well-crafted policies and education, can substantially boost EM adoption by the public, facilitating a shift toward sustainable transportation alternatives.
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来源期刊
World Electric Vehicle Journal
World Electric Vehicle Journal Engineering-Automotive Engineering
CiteScore
4.50
自引率
8.70%
发文量
196
审稿时长
8 weeks
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