This study presents eighteen topics and their distribution over the corpus of 891 abstracts, within the scope of IS research on Covid-19. With the goal of describing the IS-fields contribution to society in fighting the Covid-19 pandemic. The topics were created by collecting 844 abstracts from 63 IS journals and 160 IS related abstracts from non-IS journals, all from the Web of Science Core Collection database. The abstracts were then fitted with the topic model BERTopic; that provided the eighteen topics which then were manually labeled. Flaws to this study is that it utilizes a relatively small corpus for topic modeling, and that the topic model BERTopic lacks the ability to assign documents to multiple topics. The result has similarities to a previous literature review but lacks the distinguished topic of government response and IS field agendas. However, this study’s resulting topics can give a more general perspective over a considerably larger body of research papers, and help identify further research directions.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-505669 |
| Date | January 2023 |
| Creators | Gräntz, Carl |
| Publisher | Uppsala universitet, Informationssystem |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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