2026-10-12T03:30:28Z https://data.mendeley.com/oai

oai:data.mendeley.com/69k5623jcd.1 2026-07-14T21:43:17Z

Hendly, Edwin Survey Data on the Effect of Reward Features on Impulse Buying in TikTok Shop and Shopee Mendeley Data This dataset contains survey responses collected to investigate the effect of reward features on impulse buying behavior among users of TikTok Shop and Shopee in Indonesia. The data were gathered through an online questionnaire distributed to active users of both e-commerce platforms. The dataset consists of 60 respondents, including 30 Shopee users and 30 TikTok Shop users, enabling comparative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi-Group Analysis (MGA) in SmartPLS 4. The questionnaire measures five latent constructs: 1. Reward Features (REW) 2. Hedonic Enjoyment (HED) 3. Utilitarian Value (UTIL) 4. Parasocial Interaction (PSI) 5. Impulse Buying (IMP) Each construct is measured using multiple indicators on a 5-point Likert scale, ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). This dataset is intended for evaluating the measurement model (validity and reliability), testing structural relationships among constructs, and comparing the influence of reward features on impulse buying behavior between TikTok Shop and Shopee users through PLS-MGA. e-Commerce Impulse Buying Reward Systems Social Commerce Dataset doi:10.17632/69k5623jcd.1 oai:data.mendeley.com/69k5623jcd.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/69k5623jcd 2026-07-14T21:43:17Z