From Big Data to Rich Theory: Integrating Critical Discourse Analysis with Structural Topic Modeling

Ana M. Aranda, Kathrin Sele, Helen Etchanchu, Jonne Y. Guyt, Eero Vaara

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

A growing interest in the study of discourses has spread in management research, but so far, it has mostly relied on in-depth qualitative analyses of textual material. With the increasing availability of large textual data, several challenges arise. This paper offers a mixed-methods approach to integrate critical discourse analysis with structural topic modeling to turn these challenges into valuable opportunities. We argue that combining both approaches overcomes their limitations and provides great potential for exploring phenomena that matter in our mediatized society. Based on an explanatory sequential mixed-methods design, we develop a stepwise model that provides practical and theoretical guidance to conduct a critical analysis of large textual data. Our illustrative example focuses on the discursive legitimation struggles around the tobacco industry. We demonstrate how an integrated mixed-methods approach allows capturing the breadth and depth of discourses used by different actors in the tobacco debates.
Original languageEnglish
JournalEuropean Management Review
DOIs
Publication statusE-pub ahead of print - 7 May 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • critical discourse analysis
  • structural topic modeling
  • mixed methods

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