Blockchain Papers

Rui Zhao, Liupengfei Wu, Zhe Chen, Maohong Tang · 6 authors

No abstract is available for this record.

A. Senthil Kumar, Vasavi Katta Lakshmi Narayan Setty, Gagana Ravi

Blockchain technology is the most important technological revolution of the second decade of the 21st century. The banking sector is one of the major sectors where blockchain has played a significant role in recording and processing various financial transactions, inter-bank transfers, and digital format agreements through a distributed ledger system. It harms the transactional costs, which influence the financial markets. The global financial system being the most popular sector is prone to many errors and frauds. Blockchain technology can help prevent these problems by enabling a decentralised network that permits all parties to review. The present study attempted to analyse the problems in existing banking financial transactions, understand the importance of transparency and study the usage of blockchain in the banking sector. It suggests a research model for solving financial transaction problems by applying blockchain technology. The study uplifts the security and transparency of blockchain technology throughout the paper.

Mesbaul Haque Sazu, Sakila Akter Jahan

<abstract> <p>Blockchain technology is disrupting the financial services industry and leading to extended big data applications in the banking sectors. Using blockchain and big data technology, banking industries can greatly improve decision-making, efficiency, and transparency. Nevertheless, there is a gap in research on the use of blockchain and big data technologies in banking systems from an academic viewpoint. To address the gap, we present a thorough overview of the impact of blockchain and big data technologies on banking systems. Although some banks have started blockchain development in small groups or isolation, this study was designed as a comprehensive exploration into a few facets of banking with blockchain technology to tackle the difficulties currently impeding the adoption of such technologies into banking systems throughout the world. This study shows that implementing big data and blockchain technology can significantly impact the security, speed and cost of transactions for banks. Further research could be conducted over a long-time span to capture the longitudinal impact of blockchain and big data technologies on banking in terms of the operating costs, profitability and scalability.</p> </abstract>

Murad Ali Ahmad Al-Zaqeba, Baker Akram Falah Jarah, Nehad Ibrahim Ineizeh, Zeyad Almatarneh · 5 authors

Blockchain is a new boom for the use of the Internet and will change the way in accounting and auditing as well as management accounting (MA); Blockchain as the biggest evidence of the growing use of this technology in the accounting field, its use leads to lower costs in the long run, avoiding human errors and controlling manipulation and fraud through immediate control of information and enhancing its integrity. However, this paper aims to investigate the impact of management accounting and Blockchain technology characteristics on supply chain efficiency in Jordanian Manufacturing Companies (JMC). Besides, the descriptive approach was conducted using the survey, 258 respondents were included in the survey from JMC. The results indicated that the characteristics of Blockchain technology and MA has a positive and significant impact on the efficiency of supply chains in JMC. However, this paper contributes to identifying the characteristics of Blockchain as well as management accounting methods and their role in increasing the efficiency of supply chains; to survive and continue in different business environments.

Narendra Kumar Dewangan, Preeti Chandrakar

No abstract is available for this record.

Apoorv Jain, Arun Kumar Tripathi

No abstract is available for this record.

Janardan Krishna Yadav, Deepika Verma, Srinivas Jangirala, Shashi Srivastava · 5 authors

No abstract is available for this record.

Liupengfei Wu, Weisheng Lu, Rui Zhao, Fan Xue

No abstract is available for this record.

Jayendra Jadhav, Jyoti Deshmukh

Technological acclimatization in today's healthcare industry is a subject of new inventions. The worldwide Covid-19 epidemic has led to increase in the use of technology for healthcare supply chain , patient data management , and claims settlement. Data management in healthcare industry is a complex structure where multiple organizations provide proper supply chain services in day to day life. Improper data management disrupts the supply chain, which has a long-term impact on the healthcare sector. Various issues in the present supply chain must be addressed. Blockchain-based crypto-currencies are well-known nowadays for their ability to create safe and traceable solutions. With the growing use of crypto-currencies, it also governs new range of applications and opportunities, including healthcare applications. Blockchain-based solutions are effective in the health sector for secure data retrieval and storage, resulting in more effectual product creation and tracking. Such system can provide data provenance , promotes genuine healthcare sector demands, and ensures the immutability of multi-direction transactions. In this study, we contribute a thorough overview of the literature on how Blockchain technology is changing the way healthcare supply chains operate. We looked at 61 papers from 2019 to 2021 that highlighted various difficulties with the traditional healthcare supply chain. We scrutinized different barriers and opportunity of Blockchain-based healthcare supply chain at the end of the research.

Saad Alaklabi, Kyeong Kang

Aim/Purpose: The aim of this study was to explore the factors driving individuals’ behavioral intention to use cryptocurrency in Saudi Arabia using the extended TRA model. Background: Despite the great potential of cryptocurrencies and the exponential growth of cryptocurrency use throughout the world, scholarly research on this topic remained scarce. Whereas prior studies are mostly done in developed countries or specific cultural contexts, limiting the generalizability of their results, they mainly used technology adoption models that cannot fully explain the acceptance of new technology involved with financial transactions such as cryptocurrency and provided contradictory evidence. Entire regions have been excluded from the research on this topic, including Saudi Arabia which has a high potential to increase the volume of cryptocurrency use. Methodology: This study extends the theory of reasoned action (TRA) with the factors from technology adoption models that proved relevant for this topic, namely perceived usefulness, perceived enjoyment, perceived innovativeness, and perceived risk with three sub-factors: security, financial, and privacy risk. Data are collected using a quantitative research methodology from 181 respondents residing in Saudi Arabia and then analyzed by several methods, including exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). Contribution: This study contributes to the scientific knowledge by extending the TRA model with a range of factors from the technology adoption field, thus enabling the analysis of this topic from human, financial, and technology perspectives and providing additional empirical evidence on the factors that previously either provided contradictory evidence or were not explored in this field. This research also provides the first empirical data on this topic in Saudi Arabia and enables further research on the topic and a comparison of the results. The study also contributes to practice by enhancing the actual understanding of the phenomena and providing valuable information and recommendations for governments, investors, merchants, developers, and the general population. Findings: The study found attitude, subjective norm, perceived usefulness, perceived enjoyment, personal innovativeness, privacy risk, and financial risk as significant predictors of the intention to use cryptocurrencies, whereas the influence of security risk was not found to be significant in Saudi Arabia. Recommendations for Practitioners: Using this study’s results, governments can create appropriate legal frameworks, developers can design fewer complex platforms, and merchants may create appropriate campaigns that emphasize the benefits of cryptocurrency use and transpire trust in cryptocurrency transactions by enhancing the factors with a positive impact, such as usefulness, enjoyment, and personal innovativeness while reducing concerns of potential users regarding the risky factors. By promoting a positive user experience, they can also improve attitudes and social norms towards cryptocurrencies, thus further stimulating the interest in their use. Recommendation for Researchers: As this study validated the influence of factors from technology, financial, and human-related fields, researchers may follow this approach to ensure a comprehensive analysis of this complex topic, especially as privacy risk was never examined in this context, while personal innovativeness, perceived enjoyment, financial, and security risk were explored in just a few studies. It is also recommended that researchers explore the impact of each part of subjective norms: social media, friends, and family, as well as how information on the benefits of cryptocurrencies affects the perception of the factors included. Impact on Society: Understanding the factors affecting cryptocurrency use can help utilize the full potential of cryptocurrencies, especially their benefits for developing countries reflected in safe, speedy, and low-cost financial transactions with no need for an intermediary. The research model of this study could also be used to investigate this topic in other contexts to discover similarities and differences, as well as to investigate other information systems. Future Research: Future studies should test this research model in similar and different contexts to determine whether its validity and study results depend on cultural and contextual factors. They can also include different or additional variables, or use mixed methods, as interviews would augment the comprehension of this topic. Future studies may also explore whether the impact of variables would remain the same if circumstances changed or use cases expanded, and how the preferences of the target population would change within a longitudinal time frame.

Olawole Akomolafe, Babajide Oluwaseun Olaogun, Michael Olumuyiwa Adesuyi, Victor Ukara Ndukwe · 5 authors

Efficient and transparent supplier payment systems are essential for maintaining trust, optimizing cash flow, and ensuring regulatory compliance in global trade. Traditional payment workflows, often reliant on manual processes, multiple intermediaries, and disparate systems, face challenges including delays, reconciliation errors, foreign exchange (FX) exposure, and limited visibility. To address these limitations, this study proposes a Smart Contract Automation Model for Supplier Payment Systems, integrating blockchain-based automation with enterprise resource planning (ERP) and banking infrastructures to enhance operational efficiency, reliability, and transparency. The proposed model leverages smart contracts to automate conditional payments, enforce compliance, and streamline reconciliation processes. Payments are executed automatically when predefined conditions are met, such as delivery confirmation, invoice validation, or adherence to regulatory requirements. Escrow mechanisms and embedded dispute resolution protocols further ensure accuracy and mitigate financial and operational risks. By automating transactional workflows, the model reduces manual intervention, minimizes errors, and accelerates settlement cycles across multi-supplier, multi-currency payment networks. Performance benchmarking forms a core component of the framework, enabling organizations to quantitatively assess efficiency, cost-effectiveness, reliability, and transparency. Key metrics include transaction speed, settlement time, fee savings, transaction success rate, auditability, and compliance adherence. Benchmarking methodologies involve baseline comparisons with traditional payment processes, scenario-based stress testing, and simulation of high-volume, multi-currency transactions. These insights facilitate continuous optimization, support strategic decision-making, and enhance stakeholder confidence in the supplier payment ecosystem. This also outlines a phased implementation roadmap, emphasizing pilot deployment, technical integration, and stakeholder engagement. Future extensions include AI/ML-driven predictive monitoring, cross-chain interoperability, and integration of ESG and regulatory compliance metrics. The Smart Contract Automation Model offers a robust solution for modernizing supplier payment systems. By combining automated execution, real-time monitoring, and performance benchmarking, it enhances transparency, operational efficiency, and risk management, providing a scalable and auditable framework for global trade settlements.

Barween Al Kurdi, Haitham M. Alzoubi, Iman Akour, Muhammad Turki Alshurideh

This research aims to fill the research gap with empirical evidence that exists about the impact of blockchain and smart inventory systems on supply chain performance in the retail industry in the UAE. The proposed model is uniquely researched as no prior research explores the link between supply chain performances, blockchain, and smart inventory in prestigious academic journals. A quantitative technique with convenient cluster sampling is used. A descriptive, exploratory, causal and analytical design was applied—a sample size of 303 respondents was used for data analysis through regression and hypothesis with ANOVA. The findings revealed a significant positive impact of blockchain and smart inventory systems on SC performance. Limited construct-based research can be focused on more industries and constructs for future studies. There are numerous chances for businesses to leverage blockchain technology to their advantage over the competition, giving them the chance to strengthen their market position. Managers must carefully consider the qualities of their goods, services, and supply chains to ascertain whether they require or would sufficiently benefit from blockchain.

Miraz, Mohammad Tariq Hasan, Rekabder, Akhter

The cryptocurrency enhances today's digital currency ecosystem. The use of cryptocurrencies leads to better understanding, higher intention, trust, and acceptance. However, the lack of cryptocurrency acceptance is a severe issue in the digital market. Cryptocurrency adoption is a requirement for implementing technology functionality supported by intentioned patterns. The main goal of this study is to examine the factors that influence cryptocurrency adoption in the digital market in Malaysia. The research also confidently concludes that cryptocurrencies would continue to increase in prevalence. This empirical study examined the role of trust (TR), transaction transparency (TT), volatility (VO), facilitating conditions (FC), performance expectancy (PE), and intention to use (ITU) in cryptocurrency adoption (AD). Therefore, the study identifies intention to use as a mediator of cryptocurrency adoption. Therefore it examined the significance of intention in the context of cryptocurrency adoption. Systematic random sampling was utilized in this study to ensure the most rigorous analysis of research objectives. Besides that, the survey questions were asked at the cryptocurrency consumers' location in Malaysia. Also, a total of 263 valid responses were taken for the final assessment. This study considered Partial Least Squares Structural Equation Modeling (PLS-SEM) for data analysis. Finally, the findings showed that TR, TT, VO, and FC are all found to help in the AD (dependent variable) through the mediation of intention to use (ITU) in Malaysia's digital market. On the other hand, performance expectancy negatively impacts the digital market of Malaysia. The findings in this study may be replicated by future researchers in different locations, in various industries, and then use equivalent constructions to expand our current body of knowledge. This paper extends the limited literature on the cryptocurrency and digital currency perspectives. Besides that, it helps to understand mediating impact on cryptocurrency adoption and intention to use. Moreover, identify the significant factors that affect the cryptocurrency in Malaysia's digital market.

Sridhar Reddy Yerram, Dileep Reddy Goda, Ravikiran Mahadasa, Suman Reddy Mallipeddi · 8 authors

Amid the digital revolution, this study explores how blockchain technology can improve financial security. The primary goals are to examine how blockchain technology reduces cyber threats in the financial industry, evaluate regulatory factors that should be considered before adopting blockchain, and investigate the prospects for blockchain going forward. A review process based on secondary data is utilized, referencing academic articles, reports, and regulatory documents. Significant discoveries show that blockchain provides creative ways to reduce cyber threats, improve transparency, and foster financial transaction confidence. Nevertheless, issues, including adoption obstacles, regulatory uncertainties, and technological restrictions, must be resolved to reach their full potential. The policy implications indicate that stakeholders must collaborate, do continuous research, and establish clear regulatory frameworks to promote responsible blockchain adoption in the finance industry. Blockchain technology can transform financial security and encourage creativity in the digital world.

Aman Ullah Khan, Reham Anjum, Muqadas Khan

In all probability, the field of finance has been studied at great length. Still and all, the behavior aspect of finance is relatively new; wherefore, it remains wide open for great exploration. Over the years, social media has grown taller by leaps and bounds. This served as the main spark plug for this study to explore the field of behavioral finance in the light of social media. Thence the aim of this research is to study the impact of information flowing from social media (SM) on investment decision-making and to see whether social media acts as a moderator between risk perception and decision-making. The study is quantitative in nature, and the data was culled using an adapted questionnaire. The sample size of this study, as computed through G power, was 64, and 102 investors actually recorded their responses. The data was analyzed through SPSS software using Ordinary Least Square (OLS).

Chandrashekar Jatoth, Rishabh Jain, Ugo Fiore, Subrahmanyam Chatharasupalli

Although the blockchain technology is gaining a widespread adoption across multiple sectors, its most popular application is in cryptocurrency. The decentralized and anonymous nature of transactions in a cryptocurrency blockchain has attracted a multitude of participants, and now significant amounts of money are being exchanged by the day. This raises the need of analyzing the blockchain to discover information related to the nature of participants in transactions. This study focuses on the identification for risky and non-risky blocks in a blockchain. In this paper, the proposed approach is to use ensemble learning with or without feature selection using correlation-based feature selection. Ensemble learning yielded good results in the experiments, but class-wise analysis reveals that ensemble learning with feature selection improves even further. After training Machine Learning classifiers on the dataset, we observe an improvement in accuracy of 2–3% and in F-score of 7–8%.

Manpreet Kaur, Mohammad Zubair Khan, Shikha Gupta, Abdullah Alsaeedi

It has been proven that Internet of Things (IoT) platforms can improve the performance and efficiency of a wide range of processes. With the acceptance of IoT as a major part of the technology of Industry 4.0, the notion of leveraging the Internet in industries to enable automation and reconfigure existing industrial processes has greatly evolved. By introducing smart technology and intelligent processes, the Industrial Internet of Things (IIoT) is committed to bringing high operational efficiency, enhanced productivity, and effective management to industrial assets. Despite this, the reliance of IIoT on central architecture presents numerous challenges, including the security and maintenance of smart devices, privacy issues owing to third-party participation, and massive computations conducted by a central entity, all of which prevent its widespread adoption in businesses. Emerging blockchain technologies have the potential to transform IIoT platforms and applications. A distributed and decentralized approach followed by blockchain might offer interesting solutions to the challenges raised by IIoT. Furthermore, 5G networks are expected to deliver excellent solutions to meet the demands of decentralized systems, with a focus on application-specific vulnerabilities. Blockchain and IIoT, enabled by 5G, is a viable option to fully explore the potential of contemporary industry. In this context, this article analyzes and examines recent achievements to highlight the major obstacles in blockchain–IIoT convergence and presents a framework for potential solutions. A well-organized literature review by analyzing the existing work in three primary areas: blockchain consensus algorithms used in existing IoT and IIoT applications, blockchain for 5G-enabled IoT networks, and blockchain in industry have been performed, with major findings summarized in each area. Directions for the future are also provided and intend to assist researchers in understanding the full potential of these innovations.

Jonathan Jan Pieters, Alinda Kokkinou, Ton van Kollenburg

No abstract is available for this record.

Sasho Guergov, Neyara Radwan

The purpose of this study is to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT. The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme. This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency.

Pranab Kumar Bharimalla, Hammad S. Choudhury, Shantipriya Parida, Debasish Kumar Mallick · 5 authors

The healthcare system in the Indian subcontinent is plagued with numerous issues related to the access, transfer, and storage of patient's medical records. The lack of infrastructure to properly communicate and track records between all key participants has allowed the distribution of counterfeit drugs, dependency on unsafe methods of communication, and lack of trust between patients and providers. During the global COVID-19 pandemic, the need for a robust communication and record tracking system has been further emphasized. To facilitate efficient communication and mitigate the mentioned issues, a nationwide EHR (electronic health record) system must be introduced to bring the healthcare system into digital space. To further enhance security, efficiency, and cost, the innovation of Blockchain is introduced. Blockchain is a decentralized data structure that allows secure transactions between untrusted parties without needing a central authority. In this paper, a Hyperledger fabric-based Blockchain Electronic Healthcare Record (EHR) system is proposed. The system is integrated with technologies such as NLP (Natural Language Processing), and Machine Learning to provide users with practical features.

Yongshun Xu, Heap‐Yih Chong, Ming Chi

No abstract is available for this record.

Atul Kumar Singh, V. R. Prasath Kumar

Poor quality in construction could lead to the cash flow disruption, project delays, profit loss in projects due to rework, and some time to the property damage or human loss due to accidents. In order to ensure the quality of work, quality control (QC) departments inspect the construction work compliance with best practices, defined procedures, and specifications. These inspections rely on manual procedures, post-construction evaluation, document-based, and are carried out through a supervisory manner approach from top-down. However, this top-down control-oriented approach does not provide enough motivation for quality control managers, operators, and workers to voluntarily follow quality procedures and specifications. Besides, document-based quality specification compliance assessments have limitations that are difficult to determine whether the required specifications have actually been implemented and are not reliable to measure their real performance as well. In this regard, this study proposes a conceptual framework for Blockchain-based quality management at construction sites, which could ensure security and reliability of information generated through while implementing quality-related specification and procedures by managers and workers using Distributed Ledger Technologies (DLT) and also to encourage them by establishing a compensation structure through performance assessment for activities of each task. The Block chained quality management approach would greatly help shift the traditional top-down and passive quality control process to bottom-up and voluntary manner. It might open a new innovative value-chain structure in the construction quality domain which provides securing reliability of activities required for quality assurance procedures and specification implementation.

Dwi Iryaning Handayani, Iwan Vanany

Blockchain application in supply chain and halal has risen in recent years. This can be seen by increasing the number of papers published. The purpose of this paper was to review and analyze the previous papers on blockchain application in supply chain and halal supply chain using a systematic literature review based on the Scopus database from 2017–2021. The findings indicate that the literature review methods the most of research method used, manufacturing is the most blockchain application of industry type, trust is the most benefits achieved of blockchain application, traceability system is the most function of blockchain application. The main contribution of this paper is the systematic classification of the relevant literature on blockchain application on supply chain and halal. Therefore, academics might find the helpful review and discussion for further research.

Lorenz Trautmann, Rainer Lasch

The use of blockchain technology in supply chain finance promises to solve existing inefficiencies of conventional supply chain finance methods. With the help of a systematic literature review, these issues are uncovered, showing how blockchain could solve them. The main problems include the non-transparency of complex networks, insufficient risk control, information asymmetries, and inefficient processes. Blockchain-based SCF platforms can solve these problems with key features such as decentralization, transparency, traceability, and automation capability.