Questionnaire & RAW data "Adoption of AR Virtual Try On in E-commerce: UTAUT Evidence, Trust Mediation, and Implications for SDG Aligned Digital Retail"

Title: Raw materials and questionnaire for “Adoption of AR Virtual Try‑On in E‑commerce: UTAUT Evidence, Trust Mediation, and SDG‑Aligned Implications for Digital Retail” Description: This deposit contains the raw materials and survey instrument used in the study investigating factors that influence Generation Z consumers’ behavioral intention to use Augmented Reality (AR) virtual try‑on features in cosmetic e‑commerce. The files include the original questionnaire (Indonesian versions) and the RAW Dataset Materials. These materials support the transparency and reproducibility of the SEM‑PLS analyses reported in the article. Methodology summary: Data were collected via an online purposive survey of Generation Z respondents in DKI Jakarta who had purchased cosmetics online. The dataset was analyzed using Structural Equation Modeling with Partial Least Squares (SEM‑PLS). The questionnaire maps to UTAUT constructs (Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions), Trust (mediator), and Behavioral Intention (outcome). Usage notes: The dataset is anonymized; no direct identifiers are included. Users must not attempt to re‑identify participants. If you use these materials, please cite the associated article and this Zenodo deposit. Recommended citation: Bismo, A; Cross, J. R. M. (2026). Raw materials and questionnaire for “Adoption of AR Virtual Try‑On in E‑commerce: UTAUT Evidence, Trust Mediation, and SDG‑Aligned Implications for Digital Retail” [Dataset]. Bina Nusantara University / Zenodo.标题：电商平台增强现实（Augmented Reality, AR）虚拟试妆功能采纳研究：UTAUT实证、信任中介效应与契合可持续发展目标（Sustainable Development Goals, SDG）的数字零售启示 数据集描述：本存档包含本研究的原始素材与调研工具，该研究旨在探究影响Z世代消费者在美妆电商场景中使用AR虚拟试妆功能的行为意向的相关因素。本次提交的文件包含原始问卷（印尼语版本）与原始数据集素材，上述材料可为本文中报告的偏最小二乘结构方程模型（Structural Equation Modeling with Partial Least Squares, SEM-PLS）分析的可复现性与研究透明度提供支撑。 研究方法概述：本研究通过针对雅加达首都特区（DKI Jakarta）曾有美妆线上购物经历的Z世代受访者开展的线上目的性抽样调研收集数据。本数据集采用偏最小二乘结构方程模型（SEM-PLS）进行分析，调研问卷覆盖统一技术采纳与使用理论（UTAUT）的各构面（绩效期望、努力期望、社会影响、促成条件）、作为中介变量的信任，以及作为因变量的行为意向。 使用须知： 本数据集已完成匿名化处理，未包含任何直接身份标识。使用者不得尝试重新识别调研参与者。 若使用本研究素材，请引用相关学术论文及本Zenodo存档。 推荐引用格式：比斯莫（Bismo, A）、克罗斯（Cross, J. R. M.）(2026)。"电商平台增强现实虚拟试妆功能采纳研究：UTAUT实证、信任中介效应与契合可持续发展目标的数字零售启示"[数据集]。宾多努桑塔拉大学（Bina Nusantara University） / Zenodo。