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AI–Human Hybrids for Marketing Research (Arora et al., 2025)
Description
Welcome to "Revise and Resubmit," the podcast that brings you the latest breakthroughs from the world of academic research. Today, we’re diving into a groundbreaking study titled "AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators" by Neeraj Arora, Ishita Chakraborty, and Yohei Nishimura. This fascinating paper, featured in the prestigious Journal of Marketing—an FT50 journal published by the American Marketing Association and Sage Publishing—explores how AI can revolutionize the marketing research process.
Picture this: combining human expertise with the computational power of large language models like GPT-4. This hybrid approach doesn’t just mimic human efforts—it elevates them. The study demonstrates how AI can assist in generating synthetic respondents, conducting interviews, and analyzing data, delivering insights that surpass traditional methods. With real-world collaboration from a Fortune 500 company, this research highlights the transformative potential of AI-human partnerships.
We’ll explore how this collaboration enhances both qualitative and quantitative research, offering a glimpse into the future of marketing research workflows.
A heartfelt thank you to Neeraj Arora, Ishita Chakraborty, Yohei Nishimura, and Sage Publishing for their pioneering work.
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Here’s something to ponder: As AI continues to evolve, could we see a future where it’s not just a collaborator but an independent contributor to research innovation?
Reference
Arora, N., Chakraborty, I., & Nishimura, Y. (2025). AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators. Journal of Marketing, ahead-of-print. https://doi.org/10.1177/00222429241276529
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