Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain

•Knowledge redundancy application for blockchain.•Integration of IoT, cybersecurity and blockchain.•Patent citation analysis. Researchers and organizations are becoming increasingly interested in Internet of Things (IoT) cybersecurity and blockchain technology due to its ability to provide solutions...

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Bibliographic Details
Published in:Technological forecasting & social change 2020-12, Vol.161, p.120329, Article 120329
Main Authors: Daim, Tugrul, Lai, Kuei Kuei, Yalcin, Haydar, Alsoubie, Fayez, Kumar, Vimal
Format: Article
Language:English
Subjects:
Blockchain
Citation analysis
Cryptography
Cybersecurity
Cyberterrorism
Data security
Forecasting
Intellectual property
Internet
Internet of Things
Knowledge
New technology
Patent citation analysis, Technology knowledge redundancy
Redundancy
Reliability analysis
Safety and security measures
Software
Technology
Technology knowledge status
Citations: Items that this one cites
Items that cite this one
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Summary:•Knowledge redundancy application for blockchain.•Integration of IoT, cybersecurity and blockchain.•Patent citation analysis. Researchers and organizations are becoming increasingly interested in Internet of Things (IoT) cybersecurity and blockchain technology due to its ability to provide solutions to problems of classical centralized architecture. This research approaches the relative locations of a company in the technological network based on patent citations of the IoT cybersecurity and blockchain. To understand how the blockchain and IoT can be merged, it is important to have a better understanding of the emerging technologies of IoT, cybersecurity, and blockchain. We used patent analysis, and merged the patent co-citation analysis (PCA) approach with the patent family to obtain a complete data set analysis. After that, we generated the data using multiple software technologies such as CiteSpace, Pajek, and VOSViewer. We applied the Technology Knowledge Redundancy method for the patent citation network, used the main two indicators TKS (Technology Knowledge Status) and TKR (Technology Knowledge Reliability for the analysis, and then used the Derwent Innovations Index patent data.
ISSN:0040-1625
1873-5509
DOI:10.1016/j.techfore.2020.120329