Blockchain technology as an enabler of consumer trust: a text mining literature analysis

2021 ◽  
pp. 101593
Author(s):  
Catarina Ferreira da Silva ◽  
Sérgio Moro
Keyword(s):  
Text Mining ◽  
Consumer Trust ◽  
Literature Analysis ◽  
Blockchain Technology

scholarly journals Blockchain Technology Forecasting by Patent Analytics and text mining

2021 ◽  
pp. 100019
Author(s):  
Seyed Mojtaba Hosseini Bamakan ◽  
Alireza Babaei Bondarti ◽  
Parinaz Babaei Bondarti ◽  
Qiang Qu
Keyword(s):  
Text Mining ◽  
Technology Forecasting ◽  
Blockchain Technology

Blockchain as supply chain technology: considering transparency and security

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.

An Analysis on Text Mining Techniques for Smart Literature Review

2021 ◽  
Vol 10 (2) ◽  
pp. 1284-1288
Keyword(s):  
Text Mining ◽  
Review Paper ◽  
Evaluation Criteria ◽  
Unstructured Data ◽  
Future Research ◽  
Literature Analysis ◽  
Research Papers ◽  
Text Data ◽  
Web Technologies ◽  
Analysis Process

With the development of web technologies, databases and social networks etc. a large amount of text data is generated each day. Mostof the data on the internet is in unstructured form. This unstructured data can provide valuable knowledge. For getting valuable knowledge from text data text mining techniques are used widely. As each day large amounts of research papers were published in journals and conferences. These research papers are very valuable for future research and investigations. These research papers act as a source for future innovations. Researchers write review papers to give updated knowledge about the specific field. But review papers used a limited number of papers and involved manually reading each paper. Due to the large volume of research papers published each day, it is not possible for the researchers to go through each paper to find the updated knowledge about their field of interest. To automate the literature analysis process different techniques of text mining were used. This paper provides a review of text mining techniques used in automatic literature analysis. We collected papers in which previous literature is used with text mining techniques to get valuable knowledge. This review paper presented an overview of text mining techniques, their evaluation criteria, their limitations and challenges for exploring literature to find research trends.

scholarly journals Indicators for the use of robotic labs in basic biomedical research: a literature analysis

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3997 ◽  
Author(s):  
Paul Groth ◽  
Jessica Cox
Keyword(s):  
Text Mining ◽  
Biomedical Research ◽  
Laboratory Experiments ◽  
Literature Analysis ◽  
Concept Recognition ◽  
Experimental Practice ◽  
Biomedical Laboratory

Robotic labs, in which experiments are carried out entirely by robots, have the potential to provide a reproducible and transparent foundation for performing basic biomedical laboratory experiments. In this article, we investigate whether these labs could be applicable in current experimental practice. We do this by text mining 1,628 papers for occurrences of methods that are supported by commercial robotic labs. Using two different concept recognition tools, we find that 86%–89% of the papers have at least one of these methods. This and our other results provide indications that robotic labs can serve as the foundation for performing many lab-based experiments.

scholarly journals Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur

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

<p class="Abstrak">Dewasa ini teknologi <em>blockchain</em> dan kecerdasan buatan (<em>artificial intelligence</em>/AI) telah diimplementasikan dalam bidang pertanian. Teknologi <em>blockchain</em> 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 (<em>blockchain for</em> AI) atau dapat juga digunakan untuk meningkatkan kinerja sistem<em> blockchain </em>(AI <em>for</em> <em>blockchain</em>). 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 <em>Systematic Literature Review </em>(SLR) dan <em>text mining</em>. <em>Text mining </em>digunakan untuk memberikan deskripsi riset yang ada berdasarkan kata-kata di setiap artikel terpilih. SLR digunakan untuk memberikan ulasan yang komprehensif terkait riset <em>Blockchain </em>dan kecerdasan Buatan dalam pertanian. Hasil penelitian menunjukan bahwa terdapat 10 % penelitian terkait penerapan <em>blockchain </em>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 <em>blockchain </em>dan kecerdasan buatan dalam bidang pertanian menggunakan SLR dan <em>text mining.</em></p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstrak"><em>Artificial 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. </em><em>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.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

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