Dataset on Online Impulsive buying behaviour of E-paylater user and non E-paylater user

The provided dataset sheds light on the online impulsive buying behavior triggered by the e-paylater payment alternative. It includes two files, one of which is a codebook in MS Excel, containing raw data that showcases respondent characteristics such as gender, age, educational background, job status, and more. This file also encompasses all research data, complete with question labels. The second file is a CSV file that contains filtered data suitable for testing purposes. Additionally, the dataset includes a third file that contains the survey questionnaire, attached as a complementary document for reference. This dataset provided here is a valuable resource for conducting various analyses on e-paylater usage and consumer decision-making, especially in Indonesia. With its diverse data and demographic attributes, this dataset allows for comprehensive as well as segmented analyses and tests based on consumer groups categorized by age, gender, education level, and other relevant parameters. It offers a broad range of potential applications for researchers and analysts to explore and gain insights into consumer behavior and preferences.本数据集旨在阐明由先享后付电子支付（e-paylater）模式触发的网络冲动购买行为。数据集共包含三份文件：其一为MS Excel格式的代码本（codebook），其中收录了受访者性别、年龄、教育背景、职业状态等特征的原始数据，同时涵盖全部研究数据与问题标签；其二为CSV格式文件，内含经筛选后适配测试需求的数据集；其三为调查问卷文件，作为补充参考资料一并提供。 本数据集是开展先享后付电子支付使用行为与消费者决策相关各类分析的宝贵资源，尤其适用于印度尼西亚地区的相关研究。依托丰富的数据维度与人口统计属性，该数据集可支持基于年龄、性别、教育水平等维度划分的消费者群体开展全面分析与细分测试，为研究人员与分析师探索消费者行为与偏好、挖掘有效洞见提供了广阔的应用场景。