Follow blockchain research across journals, conferences, and preprint repositories.
719 results · page 4 of 30
Lina Moumni, Hamouma Moumen, Lahcene Guezouli
No abstract is available for this record.
Naim Ayadi, Syed Arshad Hussain, Arif R. Deen, Asadullah Ullah · 9 authors
There is diminished transparency, fragmented information exchange, and lack of trust among geographically dispersed stakeholders, which increasingly challenge global supply chains. The classic centralized systems of supply chain management are not always capable of being able to offer real-time traceability and data integrity which is dependable and effective in contract enforcement. The proposed study is a blockchain-based smart contract design that is focused on ensuring increased transparency, traceability and trust in global supply chain management. The suggested framework will combine automated smart contracts, cryptographic provenance tracking, permissioned blockchain consensus, and a decentralized trust score evaluation mechanism to overcome some of the major operation and governance challenges. A simulated assessment with a multi-tier global supply chain setting of 15 blockchain nodes and 12,000 transactions was performed through experimentation. The findings show that the proposed system attained an average transaction delay of 210 ms, which is very low compared to centralized systems (520 ms), with throughput being raised to 120 transactions per minute. End-to-end traceability performance also improved significantly, with a reduction in trace-back time to 8 s compared with 95s this represents a 100% tampering detection rate. The consensus mechanism ensured that the ledger integrity failed only at a rate of less than 1.1%, even when more than 30% of nodes were faulty. Risk-wise, the trust evaluation algorithm dynamically enhanced reliable supplier scores up to 12%, which facilitated the selection of reliable partners. On the whole, the results prove that smart contracts based on blockchains can drastically enhance the efficiency of operations, data integrity, and confidence in global supply chains, with the platform capable of providing a resilient and scalable backbone for the future supply chain management model.
Surayya Jamal, Ahmad Zeb, Syed Noman Mustafa
Blockchain technology has been widely heralded as a transformative tool capable of establishing trust in digitized supply chains through cryptographic finance, immutability, and decentralized ledgers. However, empirical evidence and recent analyses suggest that these technological mechanisms alone are insufficient to generate holistic trust among supply chain stakeholders. This study critically examined why blockchain adoption often failed to produce sustained trust, despite enhancing transparency, traceability, and data integrity. A qualitative, theory-driven methodology was employed, analyzing peer-reviewed literature across supply chain management, financial technology, and digital governance domains. The findings revealed that trust remained deeply rooted in social, relational, and institutional dimensions, which blockchain technologies could not replace. Off-chain data dependencies, governance gaps, regulatory ambiguities, and power asymmetries emerged as key factors undermining trust formation. Furthermore, blockchain often displaced trust from human and institutional actors to opaque technical systems, reducing accountability and stakeholder confidence. The study concluded that blockchain should be conceptualized as a supportive infrastructure for trust rather than a substitute for relational and institutional mechanisms. Recommendations included integrating blockchain with hybrid governance models, legal frameworks, and inclusive participation strategies to enhance trust resilience. The study also identified future research directions focusing on cross-industry comparisons, socio-technical interactions, and emerging blockchain alternatives. These insights contribute to a more nuanced understanding of the socio-technical limits of blockchain in supply chain digitization and highlight the critical role of governance and institutional alignment in sustaining trust.
Luka Mirović
Diplomska naloga obravnava blockchain tehnologije s poudarkom NFT-jev (non-fungible tokens) in nelegitimnih kriptovalut. Raziskava vključuje primerjalno analizo dveh skupin blockchain projektov: uveljavljenih kriptovalut z lastno verigo blokov in problematičnih projektov brez realne vrednosti. Z analizo tehničnih, ekonomskih in socialnih dejavnikov smo identificirali ključne indikatorje, ki razlikujejo legitimne projekte od prevar. Raziskali smo vzorce cenovnih manipulacij, mehanizme odklepanja žetonov, distribucijo lastništva in marketinške taktike. Analiza 30 projektov je pokazala trimodalno porazdelitev ocen legitimnosti, kjer vsi projekti z oceno nad 75 ostajajo operativni, medtem ko vsi projekti z oceno pod 40 predstavljajo dokumentirane prevare. Končni rezultat je metodologija za prepoznavanje tveganih projektov in smernice za varnejše sodelovanje v blockchain ekosistemu, kar bo prispevalo k večji ozaveščenosti uporabnikov in izboljšanju varnostnih praks.
Jauhar Abbas, Syed Shameel Ahmed Quadri, Adeel Ansari, Seema Ansari
This study examined the impact of blockchain integration on supply chain finance (SCF) performance, transparency, and trust. With traditional SCF systems facing challenges such as delayed payments, information asymmetry, and transaction inefficiencies, blockchain technology offers decentralized, immutable, and real-time data sharing capabilities to enhance financial operations. A quantitative cross-sectional research design was employed, and data were collected from 312 professionals working in manufacturing, retail, and logistics sectors. Descriptive analysis, exploratory factor analysis, and structural equation modeling (SEM) were applied to assess relationships among blockchain adoption, SCF performance, transparency, and trust. Results indicated that blockchain adoption significantly improved SCF performance (mean = 4.08), transaction verification speed (mean = 4.02), and cost efficiency (mean = 3.95). Transparency increased as stakeholders accessed real-time and verifiable financial data (mean = 4.05), while trust among supply chain partners was strengthened (mean = 4.04) due to the system’s immutable and auditable records. These findings demonstrated that blockchain acts as a strategic enabler for enhancing operational efficiency, information sharing, and stakeholder confidence in SCF operations. The study contributes to theory and practice by providing empirical evidence of blockchain’s role in fostering performance and relational benefits in supply chains. Recommendations include strategic blockchain implementation, employee training, governance alignment, and continuous monitoring of performance metrics. Future research could explore cross-border adoption, integration with emerging technologies, and long-term impacts across different industries.
Sadoqat Jurayeva, Vokhid Juraev, Z.A. Abduazimova, Xamidilla Meliyev · 7 authors
This paper explores how Zero-Knowledge Proofs (ZKPs) can enhance the privacy and security of decentralized supply chains. Although blockchain technology enhances supply chain transparency, it also reveals sensitive information, including supplier identities, pricing strategies, and transaction volumes. ZKPs offer a feasible approach in that subjects can authenticate data without revealing the underlying data, whilst keeping the information confidential and maintaining trust. In this study, the main performance indicators, including the time to verify a transaction (0.48 seconds), communication overhead (1.3 KB proof size), and privacy (95) in the ZKP-based system, are examined. ZKPs can enhance economic security by eliminating risks, such as industrial espionage and counterparty fraud, that can arise from publicly accessible data in historical blockchain systems. The performance of ZKP-enabled networks is also compared with that of traditional transparent blockchain systems. The major benefits are data privacy (95 % in ZKPs and 40 % in traditional systems) and scalability (80 % high and 60 % moderate). The paper also discusses how AI-based ZKP generation can speed up proof generation and automated compliance auditing to uphold regulatory compliance, including the General Data Protection Regulation (GDPR) and Anti-Money Laundering (AML). By incorporating AI into the ZKP procedure, proof generation can be sped up, yielding significant improvements in efficiency. This study finds that ZKPs can provide an effective approach to decentralized supply chain security, privacy, efficiency, and regulatory compliance, thereby making global trade activities more secure, transparent, and efficient.
Meriem Youssef, Salma Gallas, Christian Urom
No abstract is available for this record.
Dr Mamata Jagannathji Rathi, Miss. Sanika Yogiraj Parankar
This research investigates the role of supply chain automation through the integration of Blockchain technology, Smart Contracts, and the Internet of Things (IoT). The study explores how decentralized ledgers can automate critical workflows, including instant payment release, real-time inventory reconciliation, and automated compliance auditing. By utilizing IoT sensors to feed environmental data into a blockchain-backed system, companies can trigger automated responses that reduce human error and operational overhead. The findings indicate that this transition accelerates "speed-to-market" and fosters a self-correcting, autonomous ecosystem capable of responding to disruptions in real-time. While the research acknowledges significant implementation barriers—such as high initial capital expenditure, cybersecurity risks, and the "SME gap"—it concludes that the evolution toward an automated, transparent, and green supply chain is essential for resilience. Ultimately, the paper argues that automation should not be viewed as a replacement for human labor, but as a tool to liberate workers for high-level system orchestration. This study provides a strategic roadmap for organizations navigating the shift from Industry 4.0 to a human-centric, sustainable Industry 6.0 framework
Tipwadee Leala, Krist Thamniyom, Thawatchai Chomsiri
Cryptocurrency investments have grown exponentially, but the rapid expansion of decentralized finance (DeFi) ecosystems has been accompanied by the rise of sophisticated fraud schemes, particularly Rug Pulls. These scams occur when developers deliberately withdraw liquidity or sell large amounts of tokens, leaving investors with worthless assets. This research presents a machine learning-based framework for detecting rug-pull-prone projectson the Binance Smart Chain (BSC). A comprehensive dataset was constructed by aggregating transactional and smart contract features from reliable sources such as BscScan, TokenSniffer, DEXTools, and PeckShield Alerts. Data preprocessing included handling missing values, removing duplicates, detecting and mitigating outliers, and addressing severe class imbalance using Synthetic Minority Oversampling Technique (SMOTE). Seven machine learning algorithms were compared: Decision Tree (DT), Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGB), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). The top-performing models, Random Forest and XGBoost, were further validated using stratified holdout testing. Results demonstrate that XGBoost achieved the highest overall performance$(\mathrm{F1} = 0.82,\ \text{ROC-AUC} = 0.90,\ \text{PR-AUC} = 0.994)$confirming the model's robustness in identifying fraudulent patterns. This approach offers a scalable framework for blockchain fraud detection on BSC, with potential applicability to other networks such as Ethereum and Polygon.
Anna Amirdjanova, David Lynch, Anni Zheng
Abstract We examine prospective classification of crypto currencies risks within the ISDA Standardized Initial Margin Model (SIMM) framework for calculation of initial margin on trades sensitive to cryptocurrencies’ risk factors in the uncleared market. Consistent with the view that cryptocurrencies are digital assets that fundamentally rely on distributed ledger technology (DLT) and induce financial risks that are significantly different from those in traditional risk classes like commodities or FX, we find that cryptocurrencies are best classified into a distinct risk class within SIMM that is split into two buckets – pegged and floating (unpegged) crypto currencies as risk factors - and suggest risk weights’ calibration methodology within the cryptocurrencies risk class that is consistent with the existing approaches adopted in SIMM.
Jay Daniel, Elias Abou Maroun, Jose Arturo Garza-Reyes, Asmae El Jaouhari · 5 authors
Purpose Blockchain serves as a vital technology for digital transformation within manufacturing supply chains through its improved security and transparent tracking capabilities. Blockchain technology emerges as a promising solution for supply chain stakeholders who face ongoing information asymmetries and trust deficits amidst growing demands for sustainable practices and ethical sourcing from consumers and regulators. This paper aims to explore the potential of blockchain technology to improve transparency within supply chain operations, particularly in the Australian electrical manufacturing industry. Design/methodology/approach This research uses a multimethod research design encompassing three phases: Phase 1, a comprehensive literature review; Phase 2, semistructured interviews; and Phase 3, a case study to explore the application of distributed ledger technology for secure real-time supply chain activity monitoring. Findings The results suggest that integrating blockchain with Internet of Things technologies and sensor-based data leads to substantial improvements in data integrity while reducing fraud risks and enabling more efficient supply chain actor collaboration. Practical implications Manufacturing firms can benefit from our research findings, which provide actionable steps for using blockchain to achieve sustainable operations and improved efficiency. The authors offer strategic guidance for firms to develop supply chains that ensure transparency and resilience, along with alignment to environmental, social and governance goals. Originality/value The study advances digital supply chain transformation research by showing how blockchain serves as an essential technology to improve transparency and trust while boosting performance in manufacturing supply chains.
Abdul Bashiru Jibril, Anil Kumar
Abstract This study aims to provide a detailed bibliometric examination of the progression and prospect of research on blockchain-driven technology for business models in effective business practices. The study reviews a sample of 100 journal articles published between 2017 and 2023, according to the Scopus database index. The study presents the most influential articles, as well as the top contributing journals, authors, institutions, and countries. The major publications are from China, Germany, and the United Kingdom. Furthermore, using bibliographic coupling, the study identifies six key topical clusters within the existing body of literature: Industry 4.0 and circular economy practices for environmental sustainability; blockchain technology framework for the tourism industry; blockchain-enabled supply chain design; blockchain-supported business model design and supply chain resilience; impact of blockchain technologies on business models; and smart contracts for sustainable business models, respectively. The key limitation of this study is relying only on the Scopus dataset and missing some emerging trends such as decentralized finance, supply chain sustainability, and regulatory frameworks in the context of blockchain-driven business models. There is a need for continued exploration of these emerging trends. A closer qualitative examination of the clusters helped in mapping the progression of current research in the domain to suggest strategic directions for future research and suggested a framework.
Neha Patel2 Arvind Singh1
The integration of blockchain technology into supply chain management represents a fundamental shift in how goods are tracked, verified, and transferred across global networks. This comprehensive research examines the implementation, impact, and challenges of distributed ledger technology across diverse supply chain ecosystems, with particular focus on transparency enhancement, counterfeit prevention, process efficiency, and stakeholder collaboration. Through a mixed-methods approach analyzing deployment data from 127 organizations across 18 industries over a four-year period, this study demonstrates that blockchain-enabled supply chains achieve an average improvement of 41.3% in traceability accuracy, reduce documentation processing times by 67.8%, and decrease disputes among supply chain partners by 52.4%. The research further reveals that smart contract implementations automate approximately 38.6% of routine supply chain transactions, reducing administrative costs by an average of 31.7% while minimizing human error in compliance verification. Counterfeit detection capabilities improve by 89.2% in pharmaceutical and luxury goods sectors through immutable product provenance tracking. However, the study identifies significant implementation barriers including interoperability challenges with legacy systems, scalability limitations during peak transaction periods, regulatory uncertainty across jurisdictions, and substantial upfront investment requirements averaging $2.3 million per enterprise implementation. The carbon footprint of certain consensus mechanisms, particularly proof-of-work, presents environmental concerns that necessitate alternative approaches for sustainable adoption. This paper proposes a phased implementation framework emphasizing pilot testing, stakeholder education, hybrid architecture models, and regulatory engagement to balance innovation with operational stability. The findings indicate that while blockchain technology offers transformative potential for supply chain transparency and efficiency, successful adoption requires strategic alignment with business objectives, collaborative ecosystem development, and measured progression from discrete applications to integrated systems. The research contributes to both academic understanding and practical implementation guidelines for distributed ledger technology in complex supply chain environments.
Muhammad Zeeshan Ullah Khan, Syed Imran Zaman, Sharfuddin Ahmed Khan
This chapter explores the transformative potential of blockchain technology in the context of future supply chain finance (SCF). It begins by illustrating how blockchain’s decentralized and tamper-evident ledger architecture can address traditional inefficiencies in SCF. By recording each transaction in an immutable chain, blockchain not only improves transparency but also reduces fraud risk, particularly in complex supply chains involving multiple intermediaries. The discussion highlights smart contracts as a key innovation, capable of automating routine processes. Real-world implementations in areas ranging from e-commerce logistics to agricultural finance underscore the wide applicability of these concepts. Building on blockchain fundamentals, the chapter details how next-generation supply chains can harness decentralized data sharing and automated contract enforcement to boost operational efficiency, reduce counterfeiting, and manage disruptions more proactively. It examines how blockchain-based solutions can be enhanced by emerging technologies, which together enable real-time monitoring and predictive analytics. However, despite these advantages, organizations must carefully evaluate feasibility concerns. Issues of scalability, interoperability, and energy consumption persist, especially in public blockchains reliant on intensive consensus mechanisms.
Michael Fiolka, Tobias Jornitz, Luisa Strehl
Since the emergence of the blockchain and the uprising of ChatGPT, the Distributed Ledger Technology (DLT) and Artificial Intelligence (AI) are well-discussed topics both in public and professional circles, but especially in the domain of Supply Chain Management (SCM). These subjects are tech-savvy, complicated to explain and even more complex to use. On top of that, there is a scientific discussion around synergies in combining both technologies. Together they can be useful in engaging current challenges in SCM, where transparency-related data has to be generated, processed and formed into decisions and reports. To investigate the potentials of these technologies working together in a non-financial reporting environment, we performed a systematic literature review. We also included literature focusing solely on the technological perspective. The objective is a comprehensive overview on how a combination of DLT and AI could help to solve current challenges arising from sustainability related regulations. Further, we discussed ideas around Internet of Things applications or Federated Learning approaches, that use data from different entities and can be used in sustainability reporting, exploring possibilities to enhance compliance and responsible business conduct in SCM.
Kailash Chandra Bandhu, Ratnesh Litoriya, Pradeep Lowanshi, Manav Jindal · 6 authors
This study and implementation focus on the complex healthcare supply chain, encompassing resource procurement, supply management, and service delivery to all the stakeholders without any geographical boundaries. It introduced a novel approach utilising Ethereum blockchain technology to establish a track-and-trace mechanism for healthcare supply chains, bolstered by smart contracts and data immutability. By leveraging smart contracts, contractual obligations are automatically executed, ensuring prompt results without intermediaries or time delays. The proposed solution addresses the prevalent issues of transparency and monitoring within conventional supply chains. The method, rooted in solidity smart contracts, undergoes rigorous testing across various inputs, culminating in an average gas cost evaluation for various functionalities of system. This innovative system meticulously tracks the lineage of goods, with an average gas cost of 18,027 for all accounts. Notably, the process incurs a gas cost of 292,000 for all operations.
Tapasi Bhattacharjee, Amalendu Singha Mahapatra, Saptarshi Santra, Debojyoti Bose · 5 authors
No abstract is available for this record.
Violeta Cvetkoska, Lјupcho Eftimov, Kiril Postolov, Bojan Kitanovikj
No abstract is available for this record.
Jie He, Haiyan Cheng
Effective risk management has grown more and more crucial in the complex world of international trade finance, bolstered by security, trust, and openness. By creating an integrated system that blends Hyperledger Fabric blockchain technology, Supply Chain Finance (SCF) protocols, and Generative Adversarial Networks (GANs), this study seeks to improve the intelligence and dependability of financial risk assessment. Four interrelated steps make up the suggested approach: (1) preprocessing and encoding SCF datasets; (2) creating synthetic risk data with GANs to mimic uncommon or dishonest trade behaviors; (3) using Hyperledger Fabric to execute smart contracts and log transactions decentralized; and (4) using real-time SCF compliance modeling for dynamic risk assessment. While blockchain guarantees the transparency, immutability, and auditability of financial records, GAN integration improves the prediction model by adding value to the training corpus. Comparative studies show that the suggested system considerably lowers the likelihood of data tampering and improves risk prediction accuracy by 12% when compared to traditional machine learning models. The results demonstrate that integrating generative modeling with blockchain technology can significantly improve financial risk management, transparency, and adaptability in global trade settings.
Yu Cui, Prakash J. Singh
No abstract is available for this record.
Gourab Dutta, Debabrata Sarddar, Reshmi Ghosh, Bijoy Gupta
No abstract is available for this record.
Bharath Singh Jebaraj, Vivekrabinson K, Adapa Greeshmi Karunya, Uggirala Sairam Manikanta · 6 authors
1. Improving transparency, authenticity, and traceability in the Agricultural Supply Chain with a Blockchain Model (FarmTrace) Farm Trace Blockchain (Farm Trace) has been developed to give farmers and agribusinesses (such as wholesalers and retailers) a better view of their entire supply chain from when the product is harvested to when it is sold to a customer, assuring the integrity of the data entered into the blockchain and providing a means for trust between all stakeholders involved (Blade; 2022). This application allows stakeholders (including consumers) easy access to the traceability history of their products stored on the blockchain permanently, thus allowing all parties involved to verify their product’s history and status via the Web3 access created within the FarmTrace application. It is important to note that Farm Trace has two entries into the same user interface (i.e., farmer entry and retailer entry) and both are designed to allow for better management of the supply chain by providing the ability to track producers, distributors, retailers, and customers in real-time.
Christian Finke, Tamino Marahrens, Matthias Schümann
As supply chains (SCs) face increasing pressure from ecological demands, ethical expectations, and global disruptions, Distributed Ledger Technology (DLT) is gaining attention as a potential enabler of transparent, secure, and automated processes, helping to meet the expectations of customers and regulatory authorities. Nevertheless, the lack of generally valid design recommendations hinders its implementation. Therefore, we adopted grounded theory principles within a design science research approach to address this gap. Subsequently, we derived 11 overarching expert insights for developing a DLT operating model in SCs and 15 for its implementation by conducting 16 expert interviews. These insights were finally used to extract 19 generally valid design recommendations for applying DLT in SC processes that contribute to practical implementations and the framing of realistic adoption expectations by guiding researchers and practitioners.
Xu Tian
No abstract is available for this record.