Abstract
Computer-assisted methods and tools can help researchers automate the coding process of literature reviews and accelerate the literature review process. However, existing approaches for coding textual data do not account for lexical ambiguity; that is, instances in which individual words have multiple meanings. To counter this, we developed a method to conduct rapid and comprehensive analyses of diverse literature types. Our method uses entity linking and keyword analysis and is embedded into a literature review framework. Next, we apply the framework to review the literature on digital disruption and digital transformation. We outline the method’s advantages and its applicability to any research topic.
| Original language | English |
|---|---|
| Pages (from-to) | 3857-3878 |
| Number of pages | 22 |
| Journal | Scientometrics |
| Volume | 127 |
| Issue number | 7 |
| Early online date | 28 Jun 2022 |
| DOIs | |
| Publication status | Published - Jul 2022 |
Bibliographical note
© Crown 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Bibliometric methods
- Entity annotation
- Named entity recognition
- Science mapping
- Systematic literature review
- Systematic mapping
- Word-sense disambiguation