In our paper, we discuss the potential of topic modeling as a big data research tool to open the almost limitless archival and real-time open access databases in order to find novel ways of studying organizations. We build on literature that makes languageframings, vocabularies, and words central to understanding organizations and institution, specifically with respect to fields. We illustrate our arguments with findings from two empirical projectselectromobility and energy transition in Germany and explain how field level change could be mapped and investigated with big data strategies. Overall, our aim is to provide more insights about the scopes of topic modeling applications in management research and encourage organizational researchers to unlock the potential value of available big data in their respective empirical contexts.
