Blockchain technology forecasting by patent analytics and text mining
Information technologies (ITs) have been playing an important role in improving our society, and the fast evolution of ITs creates a competitive environment not only for companies but also for regions. Hence, recognizing the future trend of technologies can be effective in decision-making with regar...
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2021
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oai:doaj.org-article:d7b6025e41da4873b861cf3d60c81a8c2021-11-26T04:27:44ZBlockchain technology forecasting by patent analytics and text mining2666-953610.1016/j.bcra.2021.100019https://doaj.org/article/d7b6025e41da4873b861cf3d60c81a8c2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2096720921000142https://doaj.org/toc/2666-9536Information technologies (ITs) have been playing an important role in improving our society, and the fast evolution of ITs creates a competitive environment not only for companies but also for regions. Hence, recognizing the future trend of technologies can be effective in decision-making with regard to technology selection and investment. Blockchain technology with its vast and impressive applications has received considerable attention from researchers, investors, and public agencies. The purpose of this research is to investigate blockchain technology to explore its trends according to their classification by use of the World Intellectual Property Organization (WIPO) database. Furthermore, we particularly evaluate the registered patents in the world's most well-known patent databases such as the USA patent database. We drew the current technology trends in blockchain patents by applying the text mining and clustering approach. The results represent that the registered patents in the USA patent database have been achieved in the growth phase. That means, attention to the blockchain is rising nowadays and most patents focused the cryptocurrencies and their applications in finance. However, blockchain technology is in the emergence phase and is evolving by researchers and inventors.Seyed Mojtaba Hosseini BamakanAlireza Babaei BondartiParinaz Babaei BondartiQiang QuElsevierarticleTechnology forecastingBlockchain technologyPatent analysisText miningTechnology life cycleInformation technologyT58.5-58.64ENBlockchain: Research and Applications, Vol 2, Iss 2, Pp 100019- (2021) |
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Technology forecasting Blockchain technology Patent analysis Text mining Technology life cycle Information technology T58.5-58.64 |
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Technology forecasting Blockchain technology Patent analysis Text mining Technology life cycle Information technology T58.5-58.64 Seyed Mojtaba Hosseini Bamakan Alireza Babaei Bondarti Parinaz Babaei Bondarti Qiang Qu Blockchain technology forecasting by patent analytics and text mining |
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Information technologies (ITs) have been playing an important role in improving our society, and the fast evolution of ITs creates a competitive environment not only for companies but also for regions. Hence, recognizing the future trend of technologies can be effective in decision-making with regard to technology selection and investment. Blockchain technology with its vast and impressive applications has received considerable attention from researchers, investors, and public agencies. The purpose of this research is to investigate blockchain technology to explore its trends according to their classification by use of the World Intellectual Property Organization (WIPO) database. Furthermore, we particularly evaluate the registered patents in the world's most well-known patent databases such as the USA patent database. We drew the current technology trends in blockchain patents by applying the text mining and clustering approach. The results represent that the registered patents in the USA patent database have been achieved in the growth phase. That means, attention to the blockchain is rising nowadays and most patents focused the cryptocurrencies and their applications in finance. However, blockchain technology is in the emergence phase and is evolving by researchers and inventors. |
format |
article |
author |
Seyed Mojtaba Hosseini Bamakan Alireza Babaei Bondarti Parinaz Babaei Bondarti Qiang Qu |
author_facet |
Seyed Mojtaba Hosseini Bamakan Alireza Babaei Bondarti Parinaz Babaei Bondarti Qiang Qu |
author_sort |
Seyed Mojtaba Hosseini Bamakan |
title |
Blockchain technology forecasting by patent analytics and text mining |
title_short |
Blockchain technology forecasting by patent analytics and text mining |
title_full |
Blockchain technology forecasting by patent analytics and text mining |
title_fullStr |
Blockchain technology forecasting by patent analytics and text mining |
title_full_unstemmed |
Blockchain technology forecasting by patent analytics and text mining |
title_sort |
blockchain technology forecasting by patent analytics and text mining |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/d7b6025e41da4873b861cf3d60c81a8c |
work_keys_str_mv |
AT seyedmojtabahosseinibamakan blockchaintechnologyforecastingbypatentanalyticsandtextmining AT alirezababaeibondarti blockchaintechnologyforecastingbypatentanalyticsandtextmining AT parinazbabaeibondarti blockchaintechnologyforecastingbypatentanalyticsandtextmining AT qiangqu blockchaintechnologyforecastingbypatentanalyticsandtextmining |
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1718409932198379520 |