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Cited by 319Computational and Text Analysis MethodsTopic ModelingSentiment Analysis and Opinion Mining

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture

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Schmiedel, Theresa, Müller, Oliver, vom Brocke, Jan·2019·Organizational Research Methods
DOI 10.1177/1094428118773858
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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 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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Show all 51 references

Research works printed but not linked: 6

  1. Berente N., 2014, Paper presented at the 20th Americas Conference on Information Systems (AMCIS)
  2. Blei D., 2003, Journal of Machine Learning Research, 3, 993
  3. Frawley W., 1992, Al Magazine, 13, 57
  4. Jagarlamudi J., 2012, Paper presented at the 13th Conference of the European Chapter of the Association for Computational Linguistics
  5. Mimno D., 2011, Paper presented at the Conference on empirical methods in natural language processing
  6. Nguyen L., 2015, Paper presented at the Pacific-Asia Knowledge Discovery and Data Mining

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Metadata

Authors
Schmiedel, T., Müller, O., & vom Brocke, J.
Affiliations
  • University of Liechtenstein (LI)
  • IT University of Copenhagen (DK)
  • University of Liechtenstein, Liechtenstein
Corresponding author
Schmiedel, Theresa
ORCID
Schmiedel, Theresa
Venue
Organizational Research Methods
Publisher
SAGE Publications
Published
2018-05-06
Volume
22
Issue
4
Pages
941-968
ISSN
  • 1094-4281 (ISSN-L)
  • 1552-7425
DOI
10.1177/1094428118773858
OpenAlex
W2801182247
Cited by
319
References
51
Citations by year
2026: 34 · 2025: 54 · 2024: 53 · 2023: 61 · 2022: 44 · 2021: 42 · 2020: 23 · 2019: 6 · 2018: 2
FWCI
67.52
Type
journal article
Language
en
Open access
Licence
Locations
  • Organizational Research Methods (publishedVersion)
  • IT University Of Copenhagen (IT University of Copenhagen) (submittedVersion, other-oa)
  • Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › General Social Sciences › Computational and Text Analysis Methods
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
Keywords
topic modeling, structural topic modeling, text mining, organizational culture, employee perceptions, Glassdoor reviews, Fortune 500 companies

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