Blockchain research: a bibliometric and text mining based review of literature Online publication date: Wed, 02-Sep-2020
by Sanjay Fuloria
International Journal of Business Forecasting and Marketing Intelligence (IJBFMI), Vol. 6, No. 1, 2020
Abstract: This study utilised two bibliometric analysis methods and a text mining method to provide a systematic and holistic review of blockchain related academic literature. A total of 91 publications related to blockchain were identified from the Scopus1 database. Citation analysis identified security, data integrity, and integration of blockchains as foundations of this area of research. The study then employed keyword analysis to identify themes in blockchain research. Foundation, application, and emerging trend were the themes identified. The emerging trend in blockchain research was identified as the integration of blockchain with internet of things. Text mining was employed to identify additional themes. Technological aspect, business perspective, application areas, security, integrity and trust, models and frameworks, and benefits of blockchains were the additional themes. Finally, the study called for a future research agenda on blockchain research.
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