Authors
Timothy R Hannigan, Richard FJ Haans, Keyvan Vakili, Hovig Tchalian, Vern L Glaser, Milo Shaoqing Wang, Sarah Kaplan, P Devereaux Jennings
Publication date
2019/7
Journal
Academy of Management Annals
Volume
13
Issue
2
Pages
586-632
Description
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 data. By conceptualizing topic modeling as the process of rendering constructs and conceptual relationships from textual data, we demonstrate how this new method can advance management scholarship without turning topic modeling into a black box of complex computer-driven algorithms. We begin by comparing features of topic modeling to related techniques (content analysis, grounded theorizing, and natural language processing). We then walk through the steps of rendering with topic modeling and apply rendering to management articles that draw on topic modeling. Doing so enables us to identify and discuss how topic modeling has advanced management theory in five areas: detecting novelty and …
Total citations
2019202020212022202320247479810814082
Scholar articles
TR Hannigan, RFJ Haans, K Vakili, H Tchalian… - Academy of Management Annals, 2019