Perspectives on LLMs in Management and Qualitative Research

Diana Garcia Quevedo () and Josue Kuri ()
Additional contact information
Diana Garcia Quevedo: ESCP Business School, Center of Research in Sustainability (RESET)
Josue Kuri: Principal Scientist

Chapter 11 in AI for Qualitative Research, 2026, pp 165-169 from Springer

Abstract: Abstract 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.

Keywords: Multimodal models; Agentic AI; Reasoning models (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-08872-7_11

Ordering information: This item can be ordered from
http://www.springer.com/9783032088727

DOI: 10.1007/978-3-032-08872-7_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().