Scholarlink

This chapter explores the evolving role of large language models (LLMs) in management and qualitative research, considering their transformative impact on research. It discusses the transition from basic text analysis tools to sophisticated analytical assistants, propelled by advancements in multimodal models, reasoning models, and agentic AI. Future developments are envisioned, such as LLMs processing various data formats and supporting complex reasoning tasks, enabling researchers to automate labor-intensive workflows. The chapter concludes by encouraging researchers to critically engage with AI technologies, striking a balance between the benefits of AI-driven insights and the need to mitigate their limitations.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Perspectives on LLMs in Management and Qualitative Research

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

查看全文
  • Diana Garcia Quevedo,
  • Josue Kuri

摘要

This chapter explores the evolving role of large language models (LLMs) in management and qualitative research, considering their transformative impact on research. It discusses the transition from basic text analysis tools to sophisticated analytical assistants, propelled by advancements in multimodal models, reasoning models, and agentic AI. Future developments are envisioned, such as LLMs processing various data formats and supporting complex reasoning tasks, enabling researchers to automate labor-intensive workflows. The chapter concludes by encouraging researchers to critically engage with AI technologies, striking a balance between the benefits of AI-driven insights and the need to mitigate their limitations.