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Using LLMs for Market Research
8 references·16 citing·47 second hop
Using LLMs for Market Research (2023)Using LLMs for Market ResearchSynthetic Replacements for Human Survey Data? 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this work references cited by second hop

References

  • 1978Conjoint Analysis in Consumer Research: Issues and Outlook3,184 cited
  • 1990Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice2,692 cited
  • 2017Contemporary Guidance for Stated Preference Studies1,442 cited
  • 2023Out of One, Many: Using Language Models to Simulate Human Samples774 cited
  • 2012Mine Your Own Business: Market-Structure Surveillance Through Text Mining750 cited
  • 1988Stated Preference Methods: An Introduction338 cited
  • 2024Synthetic Replacements for Human Survey Data? The Perils of Large Language Models205 cited
  • 2024Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis161 cited

Cited by

  • 2024Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines147 cited
  • 2025Systematic literature review on bias mitigation in generative AI58 cited
  • 2025Take caution in using LLMs as human surrogates49 cited
  • 2024Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis44 cited
  • 2023Reimagining personalization in the physical store40 cited
  • 2023Playing Games With GPT: What Can We Learn About a Large Language Model From Canonical Strategic Games?

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35 cited
  • 2024Customer insights for innovation: A framework and research agenda for marketing25 cited
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  • 2023Demonstrations of the Potential of AI-based Political Issue Polling17 cited
  • 2023Consumer Financial Decision Making: Where We’ve Been and Where We’re Going17 cited
  • 2025What Emotions and Personalities Determine Acceptance of Generative AI?: Focusing on the CASA Paradigm15 cited
  • 2025Evaluating the acceptance of CBDCs: experimental research with artificial intelligence (AI) generated synthetic response12 cited
  • 2023Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?11 cited
  • 2025AI-enhanced nudging in public policy: why to worry and how to respond9 cited
  • 2025Navigating the ethical landscape: exploring heteronomous and autonomous strategies in integrating generative AI tools in management education6 cited
  • 2025The end of experimental research as we know it? A perspective on generative artificial intelligence in communication science3 cited