Welcome To Our Meta-Analysis Online Repository

This repository contains data and analysis code for the paper:

Zehnle, Hildebrand, Valenzuela (2025): “Not All AI Is Created Equal: A Meta-Analysis Revealing Drivers of AI Resistance Across Markets, Methods, and Time”, International Journal of Research in Marketing, Forthcoming.

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Project Overview

This meta-analysis examines factors driving AI resistance across different markets, methods, and over time. We analyze how various characteristics of AI systems and their implementation contexts impact user acceptance and resistance.

Key Research Questions

  1. How context-dependent is people’s aversion toward AI? We contrast various types of AI across application domains.
  2. How have AI resistance vs. appreciation patterns evolved over time? We identify major inflection points of AI across time.
  3. To which extent is AI resistance an artifact of how researchers study it? We demonstrate reduced effect sizes with increasing ecological validity.

Repository Contents

Contributing

We welcome contributions from researchers studying AI resistance & acceptance! You can:

  1. Submit new effect sizes through our living meta-analaysis data collection form
  2. Open an issue to discuss methodology
  3. Submit a new pull request with analysis improvements

Citation

If you use our data or code, please cite:

@article{zehnle2025meta,
  title={Not All AI Is Created Equal: A Meta-Analysis Revealing Drivers of AI Resistance Across Markets, Methods, and Time},
  author={Zehnle, Meike and Hildebrand, Christian and Valenzuela, Ana},
  journal={International Journal of Research in Marketing},
  year={2025},
  volume={xx},
  number={xx},
  pages={xx},
  doi={https://doi.org/10.1016/j.ijresmar.2025.02.005}
}

Contact

For questions about the meta-analysis or this repository, please contact: