From Big Data to Rich Theory: Integrating Critical Discourse Analysis with Structural Topic Modeling
Loading...
Access rights
openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
18
Series
European Management Review, Volume 18, issue 3, pp. 197-214
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.Description
https://doi.org/10.1111/emre.12452
Other note
Citation
Aranda, A M, Sele, K, Etchanchu, H, Guyt, J Y & Vaara, E 2021, 'From Big Data to Rich Theory: Integrating Critical Discourse Analysis with Structural Topic Modeling', European Management Review, vol. 18, no. 3, pp. 197-214. https://doi.org/10.1111/emre.12452