Abstract:The building workers sector is one of the most challenging sectors for Human Resources (HR) management. In this work, we propose a solution relying on Blockchain technology and present the design of a Blockchain-Oriented Software system conceived for managing the building workers sector with a focus on workers' safety, and it is guided by sustainable and Agile Methodologies in software design. The proposed approach takes advantage of different features of the Blockchain technology and provides transparency for… Show more
“…o Quality and Safety Management: SCs enforce adherence to standards, facilitate rapid response to deviations or hazards, and ensure proper certification and training, thus fostering a culture of compliance and proactive safety practices [23,46,104,150,184].…”
Section: Opportunitiesmentioning
confidence: 99%
“…2 Lack of required skills/ untrained personnel [24,25,33,35,38,49,50,53,69,90,104,108,111,124,129,138,146,148,151,154,157,186,190,194,196] 25…”
The construction sector, one of the most ancient industries globally, holds a crucial role in the progress and development of societies. However, it faces persistent productivity and efficiency challenges, rendering it a relative setback when compared to other sectors. In the ever-evolving landscape of the construction industry, characterized by complex projects, numerous stakeholders, and intricate contractual agreements, the integration of emerging technologies presents an unprecedented opportunity for transformation. Smart contracts (SCs), underpinned by blockchain (BC) technology, hold the potential to streamline and revolutionize traditional construction processes. Current literature shows a lack of comprehensive quantitative understanding of how Blockchain-enabled Smart Contracts (BSC) can affect the construction sector. To address this gap, the authors have (1) conducted a systematic keyword analysis of literature on SC in construction from Scopus and Web of Science (WoS) databases; (2) conducted a strengths–weaknesses–opportunities–threats (SWOT) analysis of BSC’s adoption in the construction industry from 174 peer-reviewed papers; (3) identified a holistic list of 72 factors steering BSC adoption in construction, categorized into the 4 aspects of the SWOT framework; (4) performed social network analysis (SNA) to quantitively assess the literature in terms of the identified factors; and (5) conducted clustering analysis to categorize combination of factors frequently highlighted in research publications into common groups. This research offers a comprehensive and methodical evaluation of the potential advantages, applications, and challenges associated with integrating BSC in the construction industry. The findings of SNA and clustering reveal a notable lack of investigation into certain combinations of factors in existing academic research. This disparity and the ensuing knowledge gaps may affect SC’s adoption in the construction sector. To this end, this study equips stakeholders with the insights necessary to make informed decisions in this rapidly evolving sector and contributes to a roadmap for future BSC construction-related research. Doi: 10.28991/CEJ-2024-010-05-020 Full Text: PDF
“…o Quality and Safety Management: SCs enforce adherence to standards, facilitate rapid response to deviations or hazards, and ensure proper certification and training, thus fostering a culture of compliance and proactive safety practices [23,46,104,150,184].…”
Section: Opportunitiesmentioning
confidence: 99%
“…2 Lack of required skills/ untrained personnel [24,25,33,35,38,49,50,53,69,90,104,108,111,124,129,138,146,148,151,154,157,186,190,194,196] 25…”
The construction sector, one of the most ancient industries globally, holds a crucial role in the progress and development of societies. However, it faces persistent productivity and efficiency challenges, rendering it a relative setback when compared to other sectors. In the ever-evolving landscape of the construction industry, characterized by complex projects, numerous stakeholders, and intricate contractual agreements, the integration of emerging technologies presents an unprecedented opportunity for transformation. Smart contracts (SCs), underpinned by blockchain (BC) technology, hold the potential to streamline and revolutionize traditional construction processes. Current literature shows a lack of comprehensive quantitative understanding of how Blockchain-enabled Smart Contracts (BSC) can affect the construction sector. To address this gap, the authors have (1) conducted a systematic keyword analysis of literature on SC in construction from Scopus and Web of Science (WoS) databases; (2) conducted a strengths–weaknesses–opportunities–threats (SWOT) analysis of BSC’s adoption in the construction industry from 174 peer-reviewed papers; (3) identified a holistic list of 72 factors steering BSC adoption in construction, categorized into the 4 aspects of the SWOT framework; (4) performed social network analysis (SNA) to quantitively assess the literature in terms of the identified factors; and (5) conducted clustering analysis to categorize combination of factors frequently highlighted in research publications into common groups. This research offers a comprehensive and methodical evaluation of the potential advantages, applications, and challenges associated with integrating BSC in the construction industry. The findings of SNA and clustering reveal a notable lack of investigation into certain combinations of factors in existing academic research. This disparity and the ensuing knowledge gaps may affect SC’s adoption in the construction sector. To this end, this study equips stakeholders with the insights necessary to make informed decisions in this rapidly evolving sector and contributes to a roadmap for future BSC construction-related research. Doi: 10.28991/CEJ-2024-010-05-020 Full Text: PDF
Ethereum is one of the most popular platforms for exchanging cryptocurrencies as well as the most established for peer to peer programming and smart contracts publishing [3]. The versatility of the Solidity language allows developers to program general-purpose smart contracts.
Ethereum is one of the most popular platforms for exchanging cryptocurrencies as well as the most established for peer to peer programming and smart contracts publishing [3]. The versatility of the Solidity language allows developers to program general-purpose smart contracts. Among the various smart contracts, there may be some fraudulent ones, whose purpose is to steal Ether from the network participants. A notorious example of such cases are Ponzi schemes, i.e. a financial frauds that require investors to be repaid through the investments of others who have just entered the scheme. Within the Ethereum blockchain, several contracts have been identified as being Ponzi schemes. The paper proposes a machine learning model that uses textual classification techniques to recognize contracts emulating the behavior of a Ponzi scheme. Starting from a contracts dataset containing exclusively Ponzi schemes uploaded between 2016 and 2018, we built models able to properly classify Ponzi schemes contracts. We tested several models, some of which returned an overall accuracy of 99% on classification. The best model turned out to be the linear Support Vector Machine and the Multinomial Naive Bayes model, which provides the best results in terms of metrics evaluation.
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