The rise of “blockchain”: bibliometric analysis of blockchain study

Firdaus, Ahmad; Razak, Mohd Faizal Ab; Feizollah, Ali; Hashem, Mohamed; Hazim, Mohamad; Anuar, Nor Badrul

doi:10.1007/s11192-019-03170-4

Cited by 156 publications

(78 citation statements)

References 74 publications

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“…On a historical perspective, blockchain research has progressed from "Bitcoin" to "smart contract" to "proof of stake" to current research in blockchain scaling [11]. Concerning future trends, the current trend involves lowering the transaction costs for the blockchain networks [12]. It is estimated that a decline in transaction costs past certain threshold values will lead to severe disruption in business.…”

Section: Results: Development Of a Classification Frameworkmentioning

confidence: 99%

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Paliwal¹,

Chandra²,

Sharma³

2020

Sustainability

179

190

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Through a systematic review of publications in reputed peer-reviewed journals, this paper investigates the role of blockchain technology in sustainable supply chain management. It uses the What, Who, Where, When, How, and Why (5W+1H) pattern to formulate research objectives and questions. The review considers publications since 2015, and it includes 187 papers published in 2017, 2018, 2019, and the early part of 2020, since no significant publications were found in the year 2015 or 2016 on this subject. It proposes a reusable classification framework—emerging technology literature classification level (ETLCL) framework—based on grounded theory and the technology readiness level for conducting literature reviews in various focus areas of an emerging technology. Subsequently, the study uses ETLCL to classify the literature on our focus area. The results show traceability and transparency as the key benefits of applying blockchain technology. They also indicate a heightened interest in blockchain-based information systems for sustainable supply chain management starting since 2017. This paper offers invaluable insights for managers and leaders who envision sustainability as an essential component of their business. The findings demonstrate the disruptive power and role of blockchain-based information systems. Given the relative novelty of the topic and its scattered literature, the paper helps practitioners examining its various aspects by directing them to the right information sources.

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Section: Results: Development Of a Classification Frameworkmentioning

confidence: 99%

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Paliwal¹,

Chandra²,

Sharma³

2020

Sustainability

179

190

View full text Add to dashboard Cite

show abstract

“…This growing ledger is immutable by design. Although blockchain was originally used in finance-related applications, it has been extended to non-finance applications, such as internet-of-things (IoT) and healthcare [ 2 ]. Its application in manufacturing improves real-time transparency, reduces cost, and assures sustainability [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Blockchain in manufacturing quality control: A computer simulation study

2021

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Blockchain has been applied to quality control in manufacturing, but the problems of false defect detections and lack of data transparency remain. This paper proposes a framework, Blockchain Quality Controller (BCQC), to overcome these limitations while fortifying data security. BCQC utilizes blockchain and Internet-of-Things to form a peer-to-peer supervision network. This paper also proposes a consensus algorithm, Quality Defect Tolerance (QDT), to adopt blockchain for during-production quality control. Simulation results show that BCQC enhances data security and improves defect detections. Although the time taken for the quality control process increases with the number of nodes in blockchain, the application of QDT allows multiple inspections on a workpiece to be consolidated at a faster pace, effectively speeding up the entire quality control process. The BCQC and QDT can improve the quality of parts produced for mass personalization manufacturing.

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“…Recently, studies have shown that there is a number of detection approaches available to combat the increasing number of malicious URLs. For an instant, the signature-based and behavioral based technique [14] is used to detect malicious URLs [15,16]. In particular, the signature analysis aims at detecting malicious URLs by analyzing their signature.…”

Section: Introductionmentioning

confidence: 99%

A malicious URLs detection system using optimization and machine learning classifiers

Lee

Heryanto

Razak

et al. 2020

IJEECS

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<span>The openness of the World Wide Web (Web) has become more exposed to cyber-attacks. An attacker performs the cyber-attacks on Web using malware Uniform Resource Locators (URLs) since it widely used by internet users. Therefore, a significant approach is required to detect malicious URLs and identify their nature attack. This study aims to assess the efficiency of the machine learning approach to detect and identify malicious URLs. In this study, we applied features optimization approaches by using a bio-inspired algorithm for selecting significant URL features which able to detect malicious URLs applications. By using machine learning approach with static analysis technique is used for detecting malicious URLs applications. Based on this combination as well as significant features, this paper shows promising results with higher detection accuracy. The bio-inspired algorithm: particle swarm optimization (PSO) is used to optimized URLs features. In detecting malicious URLs, it shows that naïve Bayes and support vector machine (SVM) are able to achieve high detection accuracy with rate value of 99%, using URL as a feature.</span>

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The rise of “blockchain”: bibliometric analysis of blockchain study

Cited by 156 publications

References 74 publications

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Blockchain in manufacturing quality control: A computer simulation study

A malicious URLs detection system using optimization and machine learning classifiers

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