Topic Modeling in Management Research: Rendering New Theory from Textual Data

By Timothy R. Hannigan, Richard F.J. Haans, Keyvan Vakili, Hovig Tchalian, Vern L. Glaser, M. Wang, Sarah Kaplan, P. Devereaux Jennings. The Academy of Management Annals, 2019

485 citations recorded by the source corpus.

Increasingly, management researchers are using topic modeling, a new method borrowed from computer science, to reveal phenomenon-based constructs and grounded conceptual relationships in textual da...

Subfields: General Social Sciences, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6a46d93284c71b5e3374a40311cf53214946b257

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Social Sciences

1. Roman Egger
2. Joanne Yu
3. Louis Tay

In Organizational Behavior and Human Resource Management

1. Markku V. J. Maula
2. W. Stam
3. Louis Tay
4. Mengyang Cao

In Sociology and Political Science

1. Markku V. J. Maula
2. W. Stam
3. Louis Tay

Citations in the corpus

• A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022, background): “In order to understand the vast numbers of posts shared on social media, NLP can comprehend human languages, as programmed for machines, to make predictions based on the observed social phenomena (Hannigan et al., 2019).”
• Enhancing Rigor in Quantitative Entrepreneurship Research (2019, methodology): “Computeraided text analysis (CATA), topic modeling, and natural language processing (NLP) using machine learning are relatively novel approaches to derive measures from textual content (Banks et al., 2018; Hannigan et al., 2019).”
• Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations (2020, background): “…used to improve employee selection and assessment (Campion et al., 2016; Sajjadiani et al., 2019; Speer, 2018) and advance organizational theory by helping researchers uncover emergent processes, develop new classification systems, and analyze social and cultural dynamics (Hannigan et al., 2019).”