Topic models as a novel approach to identify themes in content analysis: The example of organizational research methods

Anke Piepenbrink, Ajai S. Gaur

Research output: Contribution to conferencePaper

3 Scopus citations

Abstract

We present the key features of topic modeling based on Latent Dirichlet Allocation (LDA), and demonstrate its application by analyzing Organization Research Methods articles since its inception. Our analysis, based on 421 ORM articles reveals 15 topics, which are quite similar to other, more human intensive review exercises.

Original languageEnglish (US)
DOIs
StatePublished - Jan 1 2017
Event77th Annual Meeting of the Academy of Management, AOM 2017 - Atlanta, United States
Duration: Aug 4 2017Aug 8 2017

Other

Other77th Annual Meeting of the Academy of Management, AOM 2017
CountryUnited States
CityAtlanta
Period8/4/178/8/17

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Management of Technology and Innovation
  • Industrial relations
  • Management Information Systems

Cite this

Piepenbrink, A., & Gaur, A. S. (2017). Topic models as a novel approach to identify themes in content analysis: The example of organizational research methods. Paper presented at 77th Annual Meeting of the Academy of Management, AOM 2017, Atlanta, United States. https://doi.org/10.5465/AMBPP.2017.141