EV-olution in Java Indonesia: Perceived Cost Value, AI, and Social Status in Shaping Consumer Willingness to Pay for EVs

EV-olution in Java Indonesia: Perceived Cost Value, AI, and Social Status in Shaping Consumer Willingness to Pay for EVs 

The research objects focus on the following constructs:
1.AI-based user experience
2.Perceived value of money
3.Social status
4.Consumer willingness to pay (WTP)

This dataset supports a quantitative study on the factors influencing consumer willingness to pay (WTP) for electric vehicles (EVs) in Java, Indonesia, focusing on the roles of AI-based user experience, perceived value of money, and social status. Data were collected through a structured questionnaire distributed via Google Forms to 400 respondents across West Java, Central Java, East Java, and DKI Jakarta, including both EV owners and non-owners. This sample size ensures adequate statistical validity for drawing meaningful conclusions. The questionnaires were carefully designed to capture relevant insights on the three independent variables and their impact on WTP for EVs, making the data collection and analysis process efficient and targeted. Responses were measured using Likert scales and supported by demographic information such as age, gender, income level, and EV ownership status. A descriptive analysis was used to summarize the main characteristics of the sample, while Partial Least Squares Structural Equation Modeling (PLS-SEM) using SMART-PLS was employed to explore relationships between the variables more specifically. This analytical approach allowed the study to uncover how AI-based user experience, perceived economic value, and the aspirational aspects of EV ownership influence consumer willingness to pay. Combining descriptive statistics with PLS-SEM helped structure the model and provided deeper insights into the complex interactions within the data, offering valuable implications for researchers, policymakers, and EV manufacturers in advancing sustainable transportation efforts in Indonesia.

印度尼西亚爪哇岛的电动汽车演进：感知成本价值、人工智能与社会地位对消费者电动汽车支付意愿的影响

本研究聚焦于以下构念：
1.基于人工智能（AI）的用户体验
2.感知货币价值
3.社会地位
4.消费者支付意愿（WTP）

该数据集支持一项关于印度尼西亚爪哇岛消费者电动汽车（EV）支付意愿（WTP）影响因素的定量研究，重点探讨基于人工智能（AI）的用户体验、感知货币价值及社会地位的作用。数据通过Google Forms分发的结构化问卷收集，受访者涵盖西爪哇、中爪哇、东爪哇及雅加达首都特区的400名对象，包括电动汽车车主与非车主。此样本量确保了得出有意义结论所需的充分统计有效性。问卷经精心设计，旨在捕捉三个自变量及其对电动汽车支付意愿影响的相关洞见，使数据收集与分析过程高效且具针对性。受访者反馈采用李克特量表（Likert scales）测量，并辅以年龄、性别、收入水平及电动汽车拥有状况等人口统计信息。研究采用描述性分析总结样本主要特征，同时运用基于SMART-PLS的偏最小二乘结构方程模型（PLS-SEM）更具体地探究变量间关系。这种分析方法揭示了基于人工智能的用户体验、感知经济价值及电动汽车拥有的抱负属性如何影响消费者支付意愿。将描述性统计与PLS-SEM相结合，有助于构建模型并深入洞察数据内部的复杂交互关系，为研究人员、政策制定者及电动汽车制造商推进印度尼西亚可持续交通发展提供了宝贵启示。