Open innovation and crowdsourcing research: A bibliometric mapping and cluster analysis using VOSviewer and Biblioshiny

Lerato E. Mdaka and Mpumelelo Longweni
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Lerato E. Mdaka: North-West University, South Africa
Mpumelelo Longweni: North-West University, South Africa

in ABEM Conference Proceedings from Academy of Business and Emerging Markets (ABEM), Canada, currently edited by Satyendra Singh

Abstract: This paper reveals the developments of open innovation and crowdsourcing research in business and management through bibliometric literature analysis. The authors collected documents from Scopus and analyzed the data using Biblioshiny, RStudio package for descriptive analysis, and VOSviewer for science mapping. Useful insights resulted in the most cited contributions in open innovation and crowdsourcing research by different authors, research articles, and journals through cluster analysis. This study adds value to open innovation and crowdsourcing research by analyzing the bibliometric data during 2013–2022. Future studies may consider collaboration and increased footprint across emerging markets such as Africa, India and South America.

Keywords: Open innovation; bibliometric analysis; crowdsourcing (search for similar items in EconPapers)
Date: 2023
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https://doi.org/10.5281/zenodo.8137255

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Persistent link: https://EconPapers.repec.org/RePEc:ris:abemcp:023166

DOI: 10.5281/zenodo.8137255

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