Juita Verni, Pujani Vera, Rahim Rida, Rahayu Rita
Economic and Business Faculty Office, Universitas Andalas, Limau Manis Area, Pauh, Padang City, West Sumatera, Indonesia.
Data Brief. 2024 May 11;54:110500. doi: 10.1016/j.dib.2024.110500. eCollection 2024 Jun.
This paper provides a dataset that thoroughly explores online impulsive buying behavior, offering a comparative analysis between Buy Now Pay Later (BNPL) users and non- Buy Now Pay Later users in Indonesia. Utilizing the Stimulus-Organism-Response (S-O-R) model, the research investigates the nuanced interplay of external stimuli, cognitive and emotional responses, and resulting in impulsive purchasing behaviour. The dataset, derived from a detailed survey of 810 online consumers, unveils distinctive patterns in the impulsive buying behaviors of these two user groups, shedding light on the impact of Buy Now Pay Later stimuli on consumer decision-making. The Partial Least Square Structural Equation Model (PLS-SEM) are employ using SmartPLS 4.0 to assess the reliability and validity of the survey data. This research contributes valuable insights for understanding the dynamics of online impulsive buying in the context of emerging digital payment systems. This dataset can contribute to formulating strategic marketing and other crucial decisions by Buy Now Pay Later (E-Paylater) providers. Furthermore, this dataset can be utilized for data analysis by various stakeholders seeking information on the purchasing decisions of digital consumer groups based on age, gender, education, and income levels. Regulators of Buy Now Pay Later can also leverage this data to support the creation of regulations and educational programs promoting the responsible usage of Buy Now Pay Later services. This dataset can also be utilized by academics in the field of consumer behavior to analyze the influence of stimuli originating from payment facilities such as Buy Now Pay Later on individuals as organisms, ultimately leading to the emergence of impulsive buying behavior.
本文提供了一个全面探讨在线冲动购买行为的数据集，对印度尼西亚的先买后付（BNPL）用户和非先买后付用户进行了比较分析。该研究利用刺激-机体-反应（S-O-R）模型，调查了外部刺激、认知和情感反应之间的细微相互作用，以及由此产生的冲动购买行为。该数据集来自对810名在线消费者的详细调查，揭示了这两个用户群体冲动购买行为的独特模式，阐明了先买后付刺激对消费者决策的影响。使用SmartPLS 4.0采用偏最小二乘结构方程模型（PLS-SEM）来评估调查数据的可靠性和有效性。这项研究为理解新兴数字支付系统背景下的在线冲动购买动态提供了有价值的见解。该数据集有助于先买后付（E-Paylater）提供商制定战略营销和其他关键决策。此外，该数据集可供寻求基于年龄、性别、教育和收入水平的数字消费群体购买决策信息的各利益相关方进行数据分析。先买后付监管机构也可以利用这些数据来支持制定促进先买后付服务负责任使用的法规和教育计划。该数据集还可供消费者行为领域的学者分析先买后付等支付设施产生的刺激对作为个体的生物体的影响，最终导致冲动购买行为的出现。
