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Article 2024 · 7 atıf

A bipolar neutrosophic combined compromise solution-based hybrid model for identifying blockchain application barriers and Benchmarking consensus algorithms

Aytekin, Ahmet, Bozkurt, Eda, Orakci, Erhan, Uysal, Mustafa, Simic, Vladimir, Korucuk, Selcuk, Pamucar, Dragan

Özet

Blockchain technology and applications, one of the most attractive Industry 4.0 technologies, provide organizations with a transparent, reliable, and traceable distributed ledger network. Blockchain technologies have the potential to transform the way logistics companies and supply chains operate and boost efficiency. However, blockchain technology applications are not yet widely adopted in all industries. Among the challenges that logistics companies should pay close attention to in the future are focusing on blockchain technology, reducing current barriers, and supporting the best consensus algorithms. In this context, the main research questions are: (1) What are the obstacles to blockchain technology applications in logistics organizations? (2) Which is the best consensus algorithm? The study suggests the approach of combining subjective and objective techniques in the process of weighting the criteria. Also, the research introduces the bipolar neutrosophic-logarithmic percentage change-driven objective weighting approach, as well as the bipolar neutrosophic-combined compromise solution approach, for choosing a consensus algorithm to solve the obstacles blockchain technologies face. According to the study's findings, the most significant barrier in blockchain technologies is "lack of legal regulation". "Proof of authority" is identified as the most important consensus algorithm.

Anahtar Kelimeler
Blockchain technologies Blockchain consensus methods Bipolar neutrosophic sets Logarithmic percentage change-driven objec tive weighting Combined compromise solution MULTICRITERIA DECISION-MAKING CHAIN MANAGEMENT SUPPLY CHAIN CHALLENGES TECHNOLOGIES ADOPTION
WoS Kategorileri
Automation & Control Systems Computer Science, Artificial Intelligence Engineering, Multidisciplinary Engineering, Electrical & Electronic
Künye
Dergi
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Yıl
2024
Cilt
133
ISSN
0952-1976
eISSN
1873-6769
DOI
10.1016/j.engappai.2024.108343
WoS UID
WOS:001224857900001
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