Using Topic Modeling in Innovation Studies: The Case of a Small Innovation System under Conditions of Pandemic Related Change

Jessica Birkholz, Jutta Günther and Mariia Shkolnykova

No 2101, Bremen Papers on Economics & Innovation from University of Bremen, Faculty of Business Studies and Economics

Abstract: It is a challenge to empirically investigate rapidly developing situations. An economic crisis is such a situation in which firms exit, enter, and create new business models. The current pandemic has caused a turbulent situation with hardship, but at the same time with creative potential of innovative change. It calls for empirical analyses, but firm level data based on surveys is hard to collect given the high speed of developments. An alternative data source are news articles reporting on innovation issues and assessed by text mining techniques. This is exemplified in this chapter. It shows how topic modeling can be used to scrutinize the shift of innovation topics since the beginning of the COVID-19 crisis. The results apply to a small innovation system in Germany and confirm that innovation priorities change during a crisis and that many different actors are involved.

Keywords: Topic modeling; innovation; structural change; crisis (search for similar items in EconPapers)
JEL-codes: O30 R11 R58 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2021-01
New Economics Papers: this item is included in nep-big, nep-geo, nep-ino and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:atv:wpaper:2101

DOI: 10.26092/elib/451

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