Qualitative Method Design and Data Analysis
Vissanu Zumitzavan ()
Additional contact information
Vissanu Zumitzavan: Khon Kaen University, College of Local Administration
Chapter Chapter 9 in Social Science Methodologies for Management Research, 2025, pp 203-258 from Springer
Abstract:
Abstract This chapter comprehensively specifies qualitative method design and data analysis within management research, grounded in interpretivism to discover subjective human experiences. It elaborates on key characteristics, advantages (in-depth understanding, flexibility, contextualisation), and disadvantages (subjectivity, limited generalisability, time-consuming nature) of qualitative methods. The core then systematically introduces several data collection instruments and analytical methodologies; unstructured, structured, and semi-structured interviews, thematic analysis, grounded theory, narrative analysis, phenomenological analysis, ethnographic analysis, content analysis, and case study analysis. For each approach, the chapter outlines its process, specific applications, and interpretive variations, equipping researchers with a robust guide for conducting rigorous qualitative inquiry and acquiring rich, contextualised insights into management phenomena.
Keywords: Qualitative methods; Interviews; Thematic analysis; Content analysis; Generalisability (search for similar items in EconPapers)
Date: 2025
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:978-981-95-4318-2_9
Ordering information: This item can be ordered from
http://www.springer.com/9789819543182
DOI: 10.1007/978-981-95-4318-2_9
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 ().