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

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Authors: Aryo Bismo
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Abstract

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.

Fields of Study & Subjects

Technology Adoption and User Behaviour Consumer Behavior and Marketing Influence Augmented Reality Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026
Language
EN
Document type
Dataset