The transformative potential of blockchain technology in developing green supply chain: An evolutionary perspective on complex networks

Computers & Industrial Engineering, Год журнала: 2024, Номер 197, С. 110548 - 110548

Опубликована: Сен. 3, 2024

Язык: Английский

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Artificial Intelligence Applications for Responsive Healthcare Supply Chains: A Decision-Making Framework

IEEE Transactions on Engineering Management, Год журнала: 2024, Номер 71, С. 8591 - 8605

Опубликована: Янв. 1, 2024

Post-COVID-19, the healthcare sector is extensively digitalizing operations by applying emerging technologies such as Artificial Intelligence (AI). It evident from previous research that adoption of AI in supply chain results unmatched benefits. Therefore, present study identifies enablers for adopting chains and validates them using Fuzzy-Delphi technique. Furthermore, are prioritized, dyadic connections between investigated fuzzy-DEMATEL approach. In last phase, Graph Theory Matrix Approach was applied to assess readiness a case organization adopt across various functions. The sensitivity analysis confirms reliability results. Competitive mimetic pressures, together with government policies support, were most influencing enablers. Scalability Traceability information flow found be influenced factor other

Язык: Английский

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Understanding critical barriers to the adoption of blockchain technology in the logistics context: An interpretive structural modelling approach

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2024, Номер 10(3), С. 100355 - 100355

Опубликована: Авг. 4, 2024

Blockchain technology has promising benefits and provides robust solutions for managing business processes. While prior studies have primarily explored its potential in supporting logistics supply chain management, many practitioners still lack a clear understanding of how to leverage blockchain technology, hindering adoption within the industry. Bridging this gap addressing critical barriers requires further empirical research. This study adopts comprehensive approach, identifying through literature review validating their significance Index Item-Objective Congruence (IOC). The then delves into interrelationships among significant barriers, utilising Interpretive Structural Modelling (ISM) MICMAC methods. results highlight seven sector, encompassing government support, operational standards, top management limited public awareness, trust issues, technical challenges, network collaboration difficulties. Notably, awareness inadequate governmental support form fundamental obstacles that drive various challenges. research offers insights hinder successful logistics, proposing several mitigation strategies are line with principles open innovation.

Язык: Английский

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Convergence of blockchain, IoT, and machine learning: exploring opportunities and challenges – a systematic review

International Journal on Smart Sensing and Intelligent Systems, Год журнала: 2025, Номер 18(1)

Опубликована: Янв. 1, 2025

Abstract With the rapid technological advancement, convergence of Internet Things (IoT), blockchain, and machine learning (ML) has a significant revolution across industries, driving them in areas like Industry 4.0, smart cities, advanced transportation systems. This study presents comprehensive review integration IoT, ML technologies, highlighting their transformative impact on diverse industries. It addresses challenges scalability, security, data management posed by growth interconnected IoT devices, proposing solutions through algorithms blockchain for security immutability. By examining real-world applications reviewing existing literature, this underscores potential benefits complexities merging these while also identifying research future directions. Overall, it offers insights into innovative constructive collaboration ML, which become most important modern advances.

Язык: Английский

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A novel blockchain-based clustering model for linked open data storage and retrieval

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 18, 2025

In recent years, organizations have increasingly adopted blockchain technology to facilitate the open sharing of data with other entities. However, despite its potential benefits, blockchain-based models face several challenges, including scalability, timely access, and privacy concerns. This paper introduces a Novel Blockchain-based Clustering Model for Linked Open Data Storage Retrieval called BCLOD address these challenges. Initially, network nodes are organized into clusters, transactions from users within each cluster then grouped proposed linked block specific that preserve property. Additionally, we introduce new partial structure, which stores parts block. To enhance scalability trustworthiness, propose structures full chains in storing blocks. Furthermore, two-layer Role-Based Access Control (RBAC) mechanism is introduced safeguard user privacy. validate effectiveness BCLOD, conduct evaluations using various scenarios. The results demonstrate significant reduction required storage space both when compared traditional blockchains. Besides, prevents fork occurrences attacks such as Sybil, Distributed Denial Service (DDoS), Eclipse.

Язык: Английский

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Drivers of metaverse adoption for enhancing marketing capabilities of retail SMEs

Technology in Society, Год журнала: 2024, Номер 79, С. 102704 - 102704

Опубликована: Авг. 30, 2024

Язык: Английский

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Leveraging blockchain technology to combat food fraud in the agri‐food supply chain

International Journal of Food Science & Technology, Год журнала: 2023, Номер 59(5), С. 3469 - 3477

Опубликована: Дек. 22, 2023

Summary In an era of increasingly complex and globalised agri‐food supply chains (AFSC), the battle against food fraud has become a pressing concern for both consumers industry stakeholders. Blockchain technology (BLCT) emerged as promising solution to address challenges traceability, transparency, accountability within these chains. This paper investigates enablers that drive successful implementation BLCT in combating fraud. The study uses Interpretive Structural Modelling (ISM) analysing enablers. were identified using literature review by consulting academic experts. finds – immutable ledger, data security, safety are important research provides comprehensive understanding factors their interrelationships, offering solutions policymakers managers. As various industries stakeholders collaborate tackle issues, potential reshape AFSC guaranteeing trustworthiness, security all parties involved.

Язык: Английский

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The implications of blockchain for logistics operations and sustainability

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(4), С. 100611 - 100611

Опубликована: Окт. 1, 2024

Язык: Английский

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The use of blockchain in organisations for sustainable development: a systematic literature review and bibliometric analysis

International Journal of Production Research, Год журнала: 2024, Номер unknown, С. 1 - 28

Опубликована: Дек. 9, 2024

Blockchain research has proliferated in recent years, attracting more attention from academics and practitioners. However, the current body of management literature is widely scattered lacks a comprehensive view how use blockchain organisations impacts environmental social sustainability. To bridge this gap, our review comprehensively examines 238 academic papers sourced Scopus database, synthesising previous on convergence Employing systematic approach incorporating bibliometric analysis, study provides an analysis landscape concerning Our yields model comprising antecedents, mechanisms, sustainability outcomes organisations. Based review, we establish future agenda provide practical implications.

Язык: Английский

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IoT-Enabled Predictive Maintenance for Sustainable Transportation Fleets

E3S Web of Conferences, Год журнала: 2024, Номер 511, С. 01012 - 01012

Опубликована: Янв. 1, 2024

This research examines the profound effects of integrating IoT-enabled predictive maintenance in sustainable transportation fleets. By using real-time sensor data, this implementation aims to enhance fleet dependability and operational efficiency. The fleet, including a variety vehicles such as electric buses, hybrid cars, trucks, CNG-powered vans, is constantly monitored IoT sensors that capture important characteristics like engine temperature, battery voltage, brake wear percentages. algorithms adapt schedules response live enabling proactive strategy tackles prospective problems before they result major failures. examination records reveals prompt actions, showcasing system’s efficacy reducing interruptions improving overall fleet. Moreover, percentage change confirms flexibility, demonstrating its capacity anticipate fluctuations wear. findings highlight ability various operating situations contribution lowering expenses while enhancing effectiveness. established approach incorporates ethical issues, data security privacy, ensure responsible adoption technology. study has broader ramifications beyond particular dataset, providing detailed plan for incorporating IoTenabled into contemporary infrastructures. study’s offer valuable insights potential strategies transform industry towards sustainability. contributes future where fleets operate with increased efficiency, reduced environmental impact, improved reliability.

Язык: Английский

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