A Trust Model for Electrical Stove Technology Acceptance of Indonesian Stereotype

Nofias Fajri, Andi Velahyati Baharuddin, Dimas Akmarul Putera, Firdhani Faujiyah
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Abstract

The surge in LPG consumption within Indonesian households, coupled with stagnant LPG production, has compelled the government to import 75% of LPG by 2022. Despite initial plans for a transition to electric stoves in 2023, the program was halted due to widespread public resistance to electric stove technology. The rejection was attributed, in part, to low trust in this emerging technology, emphasizing the pivotal role of trust in influencing technological acceptance. In response, this research endeavors to construct a robust and reliable model capturing trust in the acceptance of electric stove technology. Utilizing the PLS Structural Equation Model method for data analysis, the focus centers on two trust indicators: propensity trust and human-machine trust. In the quest for a valid model, the statistical modeling technique considers five initial hypotheses developed with 32 trust-related items. Upon analysis, one hypothesis is rejected, while four are accepted. Notably, the trust human-machine (THM) variable emerges as a significant influencer of trust for electric stove technology (TTK), substantiated by a path coefficient of 0.917 and p = <0.001. Thus, the resulting model takes on a reflective form, offering insights into the intricate dynamics of trust in the acceptance of electric stove technology.
印尼刻板印象中接受电炉技术的信任模型
印尼家庭的液化石油气消费量激增,加上液化石油气产量停滞不前,迫使政府在 2022 年之前进口 75% 的液化石油气。尽管最初计划在 2023 年过渡到使用电炉,但由于公众普遍抵制电炉技术,该计划被迫停止。拒绝的部分原因是对这一新兴技术的信任度较低,这强调了信任在影响技术接受度方面的关键作用。为此,本研究致力于构建一个稳健可靠的模型,以捕捉电炉技术接受过程中的信任问题。利用 PLS 结构方程模型法进行数据分析,重点关注两个信任指标:倾向信任和人机信任。在寻求有效模型的过程中,统计建模技术考虑了用 32 个与信任相关的项目提出的五个初始假设。经过分析,一个假设被否定,四个被接受。值得注意的是,人机信任(THM)变量是电炉技术(TTK)信任度的重要影响因素,其路径系数为 0.917,p = <0.001。因此,由此得出的模型具有反思性,有助于深入了解电炉技术接受过程中信任的复杂动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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