From human panels to silicon samples: a research agenda for synthetic data in marketing research

This publication has 9 references indexed in Scilit:

• Using Synthetic Data to Evaluate Consumer Attitudes
  2026
• Leveraging generative AI synthetic and social media data for content generalizability to overcome data constraints in vision deep learning
  Artificial Intelligence Review, 2025
• Advancing Organizational Science Through Synthetic Data: A Path to Enhanced Data Sharing and Collaboration
  Journal of Business and Psychology, 2024
• Reinforcement prompting for financial synthetic data generation
  The Journal of Finance and Data Science, 2024
• Comparing human and synthetic data in service research: using augmented language models to study service failures and recoveries
  Journal of Services Marketing, 2024
• Shapes and frictions of synthetic data
  Big Data & Society, 2024
• Multi-sample $\zeta $-mixup: richer, more realistic synthetic samples from a p-series interpolant
  Journal of Big Data, 2024
• Synthetic data protection: Towards a paradigm change in data regulation?
  Big Data & Society, 2024
• Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines
  Psychology & Marketing, 2024