Blockchain Technology Forecasting by Patent Analytics and text mining

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Pei Xu ◽

Joonghee Lee ◽

James R. Barth ◽

Robert Glenn Richey

Keyword(s):

Supply Chain ◽

Text Mining ◽

Information Security ◽

Design Methodology ◽

Use Cases ◽

Future Research ◽

Content Type ◽

Blockchain Technology ◽

Twitter Data ◽

The Way

PurposeThis paper discusses how the features of blockchain technology impact supply chain transparency through the lens of the information security triad (confidentiality, integrity and availability). Ultimately, propositions are developed to encourage future research in supply chain applications of blockchain technology.Design/methodology/approachPropositions are developed based on a synthesis of the information security and supply chain transparency literature. Findings from text mining of Twitter data and a discussion of three major blockchain use cases support the development of the propositions.FindingsThe authors note that confidentiality limits supply chain transparency, which causes tension between transparency and security. Integrity and availability promote supply chain transparency. Blockchain features can preserve security and increase transparency at the same time, despite the tension between confidentiality and transparency.Research limitations/implicationsThe research was conducted at a time when most blockchain applications were still in pilot stages. The propositions developed should therefore be revisited as blockchain applications become more widely adopted and mature.Originality/valueThis study is among the first to examine the way blockchain technology eases the tension between supply chain transparency and security. Unlike other studies that have suggested only positive impacts of blockchain technology on transparency, this study demonstrates that blockchain features can influence transparency both positively and negatively.

Download Full-text

Text mining as a facilitating tool for deploying blockchain technology in the intellectual property rights system

International Journal of Intellectual Property Management ◽

10.1504/ijipm.2019.100207 ◽

2019 ◽

Vol 9 (2) ◽

pp. 120 ◽

Cited By ~ 2

Author(s):

Ibrahim Alnafrah ◽

Elena Bogdanova ◽

Tatyana Maximova

Keyword(s):

Intellectual Property ◽

Text Mining ◽

Property Rights ◽

Intellectual Property Rights ◽

Blockchain Technology

Download Full-text

A Technology Forecasting Method using Text Mining and Visual Apriori Algorithm

Applied Mathematics & Information Sciences ◽

10.12785/amis/081l05 ◽

2014 ◽

Vol 8 (1L) ◽

pp. 35-40 ◽

Cited By ~ 5

Author(s):

Sunghae Jun

Keyword(s):

Text Mining ◽

Apriori Algorithm ◽

Technology Forecasting ◽

Forecasting Method

Download Full-text

Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.0814059 ◽

2021 ◽

Vol 8 (1) ◽

pp. 177

Author(s):

Fajar Delli Wihartiko ◽

Sri Nurdiati ◽

Agus Buono ◽

Edi Santosa

Keyword(s):

Artificial Intelligence ◽

Text Mining ◽

Literature Review ◽

Systematic Literature Review ◽

Research Community ◽

Future Research ◽

Literature Study ◽

Blockchain Technology ◽

Artificial Intelligence Technology ◽

Number Of Publications

Dewasa ini teknologi blockchain dan kecerdasan buatan (artificial intelligence/AI) telah diimplementasikan dalam bidang pertanian. Teknologi blockchain menjanjikan keamanan dan peningkatan kepercayaan untuk pengguna. Teknologi kecerdasan buatan menjanjikan berbagai kemudahan bagi pengguna. Perpaduan kedua teknologi tersebut dapat meningkatan kepercayaan terhadap sistem kecerdasan buatan (blockchain for AI) atau dapat juga digunakan untuk meningkatkan kinerja sistem blockchain (AI for blockchain). Tujuan penelitian ini mengulas kedua teknologi tersebut dalam studi literatur serta memberikan tantangan riset ke depan terkait implementasinya di bidang pertanian. Metodologi yang digunakan adalah Systematic Literature Review (SLR) dan text mining. Text mining digunakan untuk memberikan deskripsi riset yang ada berdasarkan kata-kata di setiap artikel terpilih. SLR digunakan untuk memberikan ulasan yang komprehensif terkait riset Blockchain dan kecerdasan Buatan dalam pertanian. Hasil penelitian menunjukan bahwa terdapat 10 % penelitian terkait penerapan blockchain dan AI dalam pertanian. Riset tersebut memiliki potensi besar untuk berkembang terlihat dari peningkatan jumlah publikasi dalam 2 tahun terakhir. Kontribusi penelitian ini meliputi posisi riset terkini dan usulan riset ke depan dengan mempertimbangkan kondisi pertanian Indonesia. Posisi riset tersebut didominasi komunitas peneliti dari negara-negara di Asia seperti India (33%), Pakistan (33%), China (14%) dan Korea (14%). Originalitas penelitian ini terletak pada studi literatur dari integrasi teknologi blockchain dan kecerdasan buatan dalam bidang pertanian menggunakan SLR dan text mining. AbstractArtificial intelligence and blockchain technology are being developed and implemented in Agriculture. Blockchain technology promises security and trust for users. Moreover, artificial intelligence technology promises convenience for users. The combination of these two technologies will increase trust in artificial intelligence systems. Besides, this combination can also increase security on the blockchain system through the application of artificial intelligence. This paper summarizes the application of both technologies and reviews them in a systematic literature review, presents a description of articles based on text mining, and provides future research challenges related to the implementation of blockchain and artificial intelligence in agriculture. The methodologies used are Systematic Literature Review (SLR) and text mining. Text mining is used to describe a description of existing research based on the words in each selected article. SLR is used to provide a comprehensive review of Blockchain research and Artificial intelligence in agriculture. The results showed that there were 10% of research related to the application of blockchain and AI in agriculture. This research has great potential for growth as seen from the increase in the number of publications in the last 2 years. The contribution of this research includes the latest research positions and future research proposals taking into account the conditions of Indonesian agriculture. The research position is dominated by the research community from countries in Asia such as India (33%), Pakistan (33%), China (14%) and Korea (14%). The originality of this research is a literature study on the integration of blockchain and artificial intelligence in agriculture using SLR and text mining.

Download Full-text