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Bibliometric Analysis of Social Media as a Platform for Knowledge Management

Bibliometric Analysis of Social Media as a Platform for Knowledge Management

Saleha Noor, Yi Guo, Syed Hamad Hassan Shah, M. Saqib Nawaz, Atif Saleem Butt
Copyright: © 2020 |Volume: 16 |Issue: 3 |Pages: 19
ISSN: 1548-0666|EISSN: 1548-0658|EISBN13: 9781799804956|DOI: 10.4018/IJKM.2020070103
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MLA

Noor, Saleha, et al. "Bibliometric Analysis of Social Media as a Platform for Knowledge Management." IJKM vol.16, no.3 2020: pp.33-51. http://doi.org/10.4018/IJKM.2020070103

APA

Noor, S., Guo, Y., Shah, S. H., Nawaz, M. S., & Butt, A. S. (2020). Bibliometric Analysis of Social Media as a Platform for Knowledge Management. International Journal of Knowledge Management (IJKM), 16(3), 33-51. http://doi.org/10.4018/IJKM.2020070103

Chicago

Noor, Saleha, et al. "Bibliometric Analysis of Social Media as a Platform for Knowledge Management," International Journal of Knowledge Management (IJKM) 16, no.3: 33-51. http://doi.org/10.4018/IJKM.2020070103

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Abstract

The purpose of this study is to conduct a bibliometric analysis to examine the most influential journals, institutions, and countries in social media (SM) publications related to knowledge management (KM). Moreover, various research themes in SM KM publications are also explored. VOSviewer was employed to process 234 SM KM publications retrieved from Web of Science (WoS) in the time period 2009-2019. Different methodologies were used according to the nature of bibliometric analysis and explained in each section. Journal of Knowledge Management was the most influential journal in SM KM publications. USA and England ranked first and second respectively, while the Tampere University of Technology was the most productive institute in SM KM research. Four emerged themes indicated an explicit contribution of SM users in KM through big data, knowledge sharing, innovation, Enterprise 2.0, and social capital. This is the first bibliometric study that explores the overall contribution of SM publications in the KM field.

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