Generative AI in Entrepreneurship Research
Principles and Practical Guidance for Intelligence Augmentation
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Generative AI in Entrepreneurship Research provides practical guidance for how generative AI can be applied to entrepreneurship research and how scholars can integrate LLMs into their work. Two objectives of this monograph are to provide researchers with guidance not only for using LLMs as a tool for data analysis and modeling but also to offer a more holistic approach to integrating AI to augment researchers' capabilities throughout the entire research process. Just as researchers need to understand AI applications in the work of entrepreneurs, we also need to reconsider how AI technologies c...
Generative AI in Entrepreneurship Research provides practical guidance for how generative AI can be applied to entrepreneurship research and how scholars can integrate LLMs into their work. Two objectives of this monograph are to provide researchers with guidance not only for using LLMs as a tool for data analysis and modeling but also to offer a more holistic approach to integrating AI to augment researchers' capabilities throughout the entire research process. Just as researchers need to understand AI applications in the work of entrepreneurs, we also need to reconsider how AI technologies can empower entrepreneurship researchers. This monograph is written for these audiences and others who wish to use LLMs for their research under the principles of Intelligence Augmentation. While the focus is entrepreneurship research applications, this framework is presented in ways that can be easily adapted to other disciplines.
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