Decision support system for blockchain (DLT) platform selection based on ITU recommendations: A systematic literature review approach

Kubler, Sylvain; Renard, Matthieu; Ghatpande, Sankalp; Georges, Jean‐Philippe; Traon, Yves Le

doi:10.1016/j.eswa.2022.118704

Cited by 9 publications

(2 citation statements)

References 69 publications

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“…They integrated the MCDM with the rough set. Kubler et al [33] developed an MCDM methodology for selecting the best blockchain platform. They used the AHP and TOPISS methods.…”

Section: Decision-making In Blockchain Platform Selectionmentioning

confidence: 99%

Assessing the Sustainable Blockchain-Metaverse-IoT Platform in the Healthcare Industry: An Intelligent Decision Support Model

Hezam,

Ali,

Hameed

et al. 2024

Preprint

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Healthcare services must fulfill patients’ desires for secure data sharing and high accessibility. Blockchain technology, through blockchain platforms (BPs), can overcome healthcare challenges. This study develops a decision-making methodology for selecting the best BP, by integrating blockchain with IoT and Metaverse, the proposed approach ensures data integrity, quality, privacy and security, secure data sharing, and interoperability. The decision-making methodology uses the multi-criteria decision-making (MCDM) methodology to handle conflicting criteria. Two MCDM methods are used in this study: CRiteria Importance Through Intercriteria Correlation (CRITIC) for weight computation, and Ranking of Alternatives with Weights of Criterion (RAWEC) for alternative ranking. To deal with uncertainty, the concept of spherical fuzzy sets (SFSs) is utilized, The RAWEC method is extended under the SFSs for the first time. The proposed methodology is applied to a healthcare case study in a new town in Egypt, considering twenty-two criteria and fifteen alternatives. The results show that the performance criterion has the highest weight, and the latency criterion has the lowest. The sensitivity analysis was conducted to show the stability of the rank. A comparative study was performed to show the effectiveness of the proposed methodology.

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“…They integrated the MCDM with the rough set. Kubler et al [33] developed an MCDM methodology for selecting the best blockchain platform. They used the AHP and TOPISS methods.…”

Section: Decision-making In Blockchain Platform Selectionmentioning

confidence: 99%

Assessing the Sustainable Blockchain-Metaverse-IoT Platform in the Healthcare Industry: An Intelligent Decision Support Model

Hezam,

Ali,

Hameed

et al. 2024

Preprint

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“…While designing the systems displayed in Figures 1, 2 and 3, important considerations should be made. One is the selection of the blockchain platform [12]. In this case, we recommend a permissioned platform, such as Hyperledger Fabric, which ensures controlled access to and privacy of sensitive data as only authorised parties can join, write, read, and commit in the network [13].…”

Section: Blockchain-enabled System: Transparency Traceability and Coo...mentioning

confidence: 99%

Blockchain-Based Traceability System for Enhanced Humanitarian Supply Chain Management

Saad,

Maina,

Perera

et al. 2023

Advances in Transdisciplinary Engineering

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Traceability and transparency are crucial aspects of humanitarian supply chains to ensure the efficient delivery of aid. Existing research emphasises the need for improved traceability and transparency to address challenges like corruption, counterfeit goods, and inefficient distribution. Traditional systems, however, often lack the necessary infrastructure and mechanisms to achieve these objectives effectively. Blockchain technology offers unique capabilities to enhance traceability in humanitarian supply chains. This paper presents a conceptual blockchain-based system designed to record and verify the movement of humanitarian goods and resources and facilitate collaborations of key stakeholders throughout the supply chain. By enhancing traceability, transparency, and stakeholder collaboration, this system could contribute to the effective delivery of humanitarian aid, ultimately benefiting the affected communities in their time of need.

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Critical success factors for implementing blockchain technology in construction

Sun,

Antwi-Afari,

Mehmood

et al. 2023

Automation in Construction

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Decision support system for blockchain (DLT) platform selection based on ITU recommendations: A systematic literature review approach

Cited by 9 publications

References 69 publications

Assessing the Sustainable Blockchain-Metaverse-IoT Platform in the Healthcare Industry: An Intelligent Decision Support Model

Assessing the Sustainable Blockchain-Metaverse-IoT Platform in the Healthcare Industry: An Intelligent Decision Support Model

Blockchain-Based Traceability System for Enhanced Humanitarian Supply Chain Management

Critical success factors for implementing blockchain technology in construction

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