Dataset of How Does a Blockchain-based refund system enchance transparency and customer adoption in E-Commerce?

This repository contains the survey data and supporting materials for the study "How Does a Blockchain-based refund system enchance transparency and customer adoption in E-Commerce?” The dataset was collected from e-commerce users who had previous experience with product returns or refund processes. It was used to examine customer perceptions of a blockchain-based refund system in reverse supply chains. The study measures cost saving, traceability, data privacy security, perceived usefulness, perceived ease of use, and adoption intention. The data were analyzed using PLS-SEM with SmartPLS 4 to test the proposed research model and hypotheses. This dataset is intended to support transparency, reproducibility, and future research on blockchain adoption in e-commerce and reverse logistics.本仓库包含了题为《基于区块链的退款系统如何提升电子商务的透明度与用户采纳度》的研究相关调研数据与辅助材料。本数据集的采集对象为具备商品退货或退款流程使用经验的电子商务用户，用于探究用户对逆向供应链中基于区块链退款系统的认知与态度。 本研究针对成本节约、可追溯性、数据隐私安全、感知有用性、感知易用性以及采纳意愿这六大维度进行测量。研究采用SmartPLS 4软件结合偏最小二乘结构方程模型（PLS-SEM）对数据进行分析，以验证所提出的研究模型与研究假设。本数据集旨在为电子商务与逆向物流领域的区块链采纳相关研究提供透明度保障、可复现性支持，并为后续相关研究提供参考。