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Community dynamics and knowledge production: forty years of research in quantum computing.
- Source :
- Journal of Knowledge Management; 2024, Vol. 28 Issue 3, p651-672, 22p
- Publication Year :
- 2024
-
Abstract
- Purpose: This study aims to explore the interplay between community dynamics and knowledge production using the quantum computing research field as a case study. Quantum computing holds the promise of dramatically increasing computation speed and solving problems that are currently unsolvable in a short space of time. In this highly dynamic area of innovation, computer companies, research laboratories and governments are racing to develop the field. Design/methodology/approach: After constructing temporal co-authorship networks, the authors identify seven different events affecting communities of researchers, which they label: forming, growing, splitting, shrinking, continuing, merging, dissolving. The authors then extract keywords from the titles and abstracts of their contributions to characterize the dynamics of knowledge production and examine the relationship between community events and knowledge production over time. Findings: The findings show that forming and splitting are associated with retaining in memory what is currently known, merging and growing with the creation of new knowledge and splitting, shrinking and dissolving with the curation of knowledge. Originality/value: Although the link between communities and knowledge has long been established, much less is known about the relationship between the dynamics of communities and their link with collective cognitive processes. To the best of the authors' knowledge, the present contribution is one of the first to shed light on this dynamic aspect of community knowledge production. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13673270
- Volume :
- 28
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Knowledge Management
- Publication Type :
- Academic Journal
- Accession number :
- 176040929
- Full Text :
- https://doi.org/10.1108/JKM-01-2023-0083