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Natural Language Processing in Management Research

In: AI for Qualitative Research

Author

Listed:
  • Diana Garcia Quevedo

    (ESCP Business School, Center of Research in Sustainability (RESET))

  • Josue Kuri

    (Principal Scientist)

Abstract

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.

Suggested Citation

  • Diana Garcia Quevedo & Josue Kuri, 2026. "Natural Language Processing in Management Research," Springer Books, in: AI for Qualitative Research, chapter 3, pages 23-33, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-08872-7_3
    DOI: 10.1007/978-3-032-08872-7_3
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