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Progress or perish: International business and the adoption of artificial intelligence
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References

  • 2023ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing913 cited
  • 2023Papers and patents are becoming less disruptive over time896 cited
  • 2024Artificial intelligence and illusions of understanding in scientific research699 cited
  • 1962Historical Structure of Scientific Discovery377 cited
  • 2020Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation243 cited
  • 2015Machine Learning Methods for Demand Estimation220 cited
  • 2025The transparency dilemma: How AI disclosure erodes trust214 cited
  • 2022Best friend or broken tool? Exploring the co‐existence of humans and artificial intelligence in the workplace ecosystem208 cited
  • 2023From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence179 cited
  • 2016The Death and Rebirth (?) of International Business Research154 cited
  • 2023ChatGPT Undermines Human Reflexivity, Scientific Responsibility and Responsible Management Research117 cited
  • 2021“Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship?80 cited
  • 2024Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process79 cited

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1991
Relevance in International Business Research: A Need for More Linkages
74 cited
  • 2024AI Shaming: The Silent Stigma among Academic Writers and Researchers62 cited
  • 2025Generative Artificial Intelligence in Qualitative Data Analysis: Analyzing—Or Just Chatting?60 cited
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