Supplementary material for "AI chatbot interaction quality, consumer trust and purchase intention: the moderating role of digital literacy in an emerging e-commerce market"

De-identified survey data (N = 300; 28 Likert items plus six demographic variables) and the complete analysis code for a cross-sectional online study of AI chatbot interaction quality, consumer trust and purchase intention in Bangladesh. Running S2_analysis_pls.py (Python 3 with numpy and scipy; fixed seed; approximately four minutes) regenerates every statistic reported in the article, including the partial least squares structural equation model with 5,000 bootstrap resamples. S3_crosscheck_analysis_pspp.sps reproduces the headline coefficients using sum-score composites in SPSS/PSPP. Machine-readable versions of all tables are included. Ethical review was not required; the protocol was reviewed as an exempt, non-invasive anonymous survey, and the data contain no direct identifiers.