DBTT Supplementary Materials
收藏DataCite Commons2025-11-17 更新2026-05-04 收录
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资源简介：
This repository contains supplementary materials for the manuscript “Digital Boundary Translation Theory: How Cultural Hotwords Navigate Cross-Linguistic Privacy Boundaries in Digital Consumer Behavior”, submitted to the Journal of International Consumer Marketing.
It includes:
Complete participant demographics (n = 39; linguistic repertoires, platform usage, country profiles)
Full interview protocol, critical incident guide, and digital diary template
Raw Google Trends data (2,160 observations) and statistical outputs (regression, ANOVA, robustness checks)
Systematic coding matrices (open → axial → selective coding), intercoder reliability reports, and negative case analysis
Ethics documentation (IRB approval #IRB-2024-0234, consent procedures, data anonymization protocol)
All materials are provided to ensure full methodological transparency, reproducibility, and auditability—aligning with APA 7 and JICM best practices for qualitative/mixed-methods research. Data are anonymized and licensed under CC BY 4.0.
提供机构：
OSF
创建时间：
2025-11-17
