Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture
- Theresa Schmiedel,
- Oliver Müller,
- Jan vom Brocke
- University of Liechtenstein
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishJournal (Volume, Issue Number)
Organizational Research MethodsPublication milestones
- E-pub ahead of print - 06/05/2018
- Published - 06/05/2018
Publication status
Published - 06/05/2018
ISSN
1094-4281Publication IDs
- Scopus: 85046719447
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 specific text mining technique, as a new and complementary strategy of inquiry to study organizational phenomena. In particular, we outline the potentials of structural topic modeling for organizational research and provide a step-by-step tutorial on how to apply it. Our application example builds on 428,492 reviews of Fortune 500 companies from the online platform Glassdoor on which employees can evaluate organizations. We demonstrate how structural topic models allow to inductively identify topics that matter to employees and to quantify their relationship with employees' perception of organizational culture. We discuss the advantages and limitations of topic modeling as a research method and outline how future research can apply the technique to study organizational phenomena.
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Accepted author manuscript, 489.56 KB
