征稿期刊

International Journal of Research in Marketing

期刊级别

IF 7.5 (JCR 2024)

SSCI

Q1 (BUSINESS 29/316)

征稿主题

Generative AI, Synthetic Data, and Synthetic Respondents in Marketing Research

细分领域

Empirical evaluations of synthetic data accuracy, confidence levels, and model precision

Applications of synthetic respondents in studying consumer behavior, targeting, or personalization

Benchmarking studies comparing synthetic data with real-world datasets

Methodological innovations in generating or validating synthetic data for marketing research

Confidence intervals, uncertainty quantification, and model calibration in synthetic environments

Statistical frameworks for evaluating generalizability and inference using synthetic data

Use of GenAI to support replicable, scalable marketing research designs

Experimental designs incorporating synthetic data or hybrid datasets

Probabilistic modeling, diffusion models, and LLM-based data generation in marketing contexts

Methodological considerations for using synthetic data in causal inference or field testing

Theoretical implications of synthetic data for marketing knowledge development

Conceptual frameworks explaining how synthetic reconstructions of behavior influence decisions

重要时间

Submission Deadline: 31 May 2026