This chapter highlights the evolving role of natural language processing (NLP) in management research. Although NLP has been utilized for decades, its full potential remains largely untapped, primarily concentrated in information systems and marketing for quantitative analysis. The chapter discusses how advancements in large language models (LLMs) have facilitated the integration of sophisticated NLP algorithms into qualitative research, enabling a more nuanced analysis of contextual meaning and the potential for richer theory development. Recent studies employing mixed-method approaches have demonstrated the ability of LLMs to enhance qualitative analysis, providing researchers with examples of the application of LLMs in qualitative research.

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Natural Language Processing in Management Research

  • Diana Garcia Quevedo,
  • Josue Kuri

摘要

This chapter highlights the evolving role of natural language processing (NLP) in management research. Although NLP has been utilized for decades, its full potential remains largely untapped, primarily concentrated in information systems and marketing for quantitative analysis. The chapter discusses how advancements in large language models (LLMs) have facilitated the integration of sophisticated NLP algorithms into qualitative research, enabling a more nuanced analysis of contextual meaning and the potential for richer theory development. Recent studies employing mixed-method approaches have demonstrated the ability of LLMs to enhance qualitative analysis, providing researchers with examples of the application of LLMs in qualitative research.