2018
DOI: 10.1177/1094428118773858
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Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture

Abstract: Research has emphasized the limitations of qualitative and quantitative approaches to studying organizational phenomena. For example, in-depth interviews are resource-intensive, while questionnaires with closed-ended questions can only measure predefined constructs. With the recent availability of large textual data sets and increased computational power, text mining has become an attractive method that has the potential to mitigate some of these limitations. Thus, we suggest applying topic modeling, a specifi… Show more

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Cited by 193 publications
(186 citation statements)
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References 50 publications
(70 reference statements)
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“…Föll et al, 2018;Handali et al, 2020), deriving the benefits of customer service management from service request tickets , and investigating the evolution of IS research (Jeyaraj & Zadeh, 2020). Tutorials on using topic modelling in IS research (Debortoli et al, 2016;Schmiedel et al, 2019) guided the approach we applied.…”
Section: Discussionmentioning
confidence: 99%
“…Föll et al, 2018;Handali et al, 2020), deriving the benefits of customer service management from service request tickets , and investigating the evolution of IS research (Jeyaraj & Zadeh, 2020). Tutorials on using topic modelling in IS research (Debortoli et al, 2016;Schmiedel et al, 2019) guided the approach we applied.…”
Section: Discussionmentioning
confidence: 99%
“…Text-based content analysis allows researchers to segment, categorize, code, and analyze datasets automatically (Burscher et al, 2015;Kobayashi et al, 2018;Scharkow, 2013;Schmiedel et al, 2019), in response to increasingly larger (textual) datasets critical for communication research. These larger datasets require researchers to scale up their content analyses (for a discussion on the need to scale up content analysis instead of using smaller samples, see Trilling & Jonkman, 2018).…”
Section: Text-based Content Analysismentioning
confidence: 99%
“…Since coding and data analysis cannot always be separated in AVCA, we regard them as one major step. Next to this classic procedure, there are two diametrical approaches to machine learning on a spectrum from inductive to deductive methodologies that this protocol covers: unsupervised versus supervised methods (Boumans & Trilling, 2016;Schmiedel et al, 2019). Figure 1 gives an overview of the protocol.…”
Section: A Research Protocol For Avca With Computer Vision Apismentioning
confidence: 99%
“…As stated by Schmiedel et al "While semantic coherence focuses on the internal qualities of single topics, exclusivity takes the similarity between different topics of the same model into account" [86] (p. 18).…”
Section: Lda and Stmmentioning
confidence: 99%