Large Language Models for Conducting Advanced Text Analytics Information Systems Research

With huge amounts of text now available, this paper offers a practical playbook (the TAISR framework) for how information-systems researchers can use large language models like GPT to analyze text in their studies. It gives concrete, literature-grounded guidance tailored to different research styles and demonstrates the approach on three business-analytics case studies. It also lays out the pitfalls and limits researchers should watch for when relying on these models.