Integration Of Blockchain Technology Research Articles

Analysis of the Impact of Blockchain Technology Adoption on Operational Efficiency and Consumer Trust in Digital Business

This research intends to assess the influence of blockchain technology adoption on operational efficiency and consumer trust in digital enterprises. Blockchain technology, with its decentralized, transparent and safe properties, is predicted to have a favorable impact on several elements of business operations and boost consumer trust. The research method employed is a quantitative approach by collecting data through surveys and interviews with organizations that have incorporated blockchain technology. Data analysis was carried out using descriptive and inferential statistical techniques to test the stated hypotheses. The research results demonstrate that the deployment of blockchain technology greatly boosts operational efficiency, particularly in terms of reduced transaction costs, increased processing speed, and reduced operational errors. Apart from that, customer confidence has also improved dramatically, notably in areas of openness, security and data protection. These findings demonstrate that blockchain technology not only contributes to enhancing the operational performance of enterprises, but also boosting the trust relationship between firms and consumers. The conclusion of this study is that the implementation of blockchain technology has a considerable positive influence on operational efficiency and consumer trust in digital enterprises. Therefore, organizations working in the digital ecosystem are recommended to explore integrating blockchain technology as a strategy to boost competitiveness and consumer trust.

Integrity and Privacy Assurance Framework for Remote Healthcare Monitoring Based on IoT

Remote healthcare monitoring (RHM) has become a pivotal component of modern healthcare, offering a crucial lifeline to numerous patients. Ensuring the integrity and privacy of the data generated and transmitted by IoT devices is of paramount importance. The integration of blockchain technology and smart contracts has emerged as a pioneering solution to fortify the security of internet of things (IoT) data transmissions within the realm of healthcare monitoring. In today’s healthcare landscape, the IoT plays a pivotal role in remotely monitoring and managing patients’ well-being. Furthermore, blockchain’s decentralized and immutable ledger ensures that all IoT data transactions are securely recorded, timestamped, and resistant to unauthorized modifications. This heightened level of data security is critical in healthcare, where the integrity and privacy of patient information are nonnegotiable. This research endeavors to harness the power of blockchain and smart contracts to establish a robust and tamper-proof framework for healthcare IoT data. Employing smart contracts, which are self-executing agreements programmed with predefined rules, enables us to automate and validate data transactions within the IoT ecosystem. These contracts execute automatically when specific conditions are met, eliminating the need for manual intervention and oversight. This automation not only streamlines the process of data processing but also enhances its accuracy and reliability by reducing the risk of human error. Additionally, smart contracts provide a transparent and tamper-proof mechanism for verifying the validity of transactions, thereby mitigating the risk of fraudulent activities. By leveraging smart contracts, organizations can ensure the integrity and efficiency of data transactions within the IoT ecosystem, leading to improved trust, transparency, and security. Our experiments demonstrate the application of a blockchain approach to secure transmissions in IoT for RHM, as will be illustrated in the paper. This showcases the practical applicability of blockchain technology in real-world scenarios.

Plastic Surgery and Cryptocurrency: A 2024 Update.

Cryptocurrency offers a decentralized alternative to traditional financial systems, facilitating peer-to-peer transactions with minimal fees and heightened security. It also transformed into a financial asset similar to gold. Despite its volatile valuation, recent developments, such as the approval of Bitcoin exchange-traded funds by the Securities and Exchange Commission, underscore its evolving role as an investment opportunity. Plastic surgery has increasingly embraced cryptocurrency as a form of payment, leveraging its speed, security, and privacy benefits. However, alongside its potential advantages, risks such as volatility, irreversibility of transactions, and regulatory uncertainties warrant careful consideration. Moving forward, the integration of blockchain technology and cryptocurrency is poised to revolutionize various aspects of plastic surgery, from patient privacy to postoperative monitoring devices, necessitating a proactive approach from surgeons to navigate this evolving landscape. This article explores the intersection of cryptocurrency and plastic surgery, delving into its current applications, risks, investment potential, and future prospects.

A COMPREHENSIVE REVIEW OF SURVEY OPINION ON BLOCKCHAIN ACCOUNTING DATA: INSIGHTS AND IMPLICATIONS

Block chain technology gained significant attention in recent years due to its benefits in terms of integrity, audit ability, transparency and automation. This research paper presents the results of questionnaire analysis through opinion survey conducted to explore the perception and experiences of accounting professionals and non professionals regarding integration of block chain technology in accounting practices. This research is both quantitative and descriptive in nature and mainly uses primary data obtained from surveys of 60 respondents. Convenience sampling was used due to limited time and cost. Secondary sources used include academic journals, research papers and websites to compile study data. Further, for analysis of data 5 point Likert Scale of measurement statistical technique is used. Tabular analysis of TAS and BCA is also analyzed in present paper. Overall, through comprehensive analysis of opinion survey report, it was concluded that respondents showed positive attitude towards the potential benefits of block chain technology in accounting practices. But, the application of block chain technology still in its early stage and has many challenges and risk to make it more reliable. Training and education on block chain technology are essentials for accounting professionals to leverage its benefits effectively.

Integrating Blockchain Technology with Telematics for Secure and Transparent Data Sharing in Supply Chain Management

Integrating Blockchain Technology with Telematics for Secure and Transparent Data Sharing in Supply Chain Management

Integration of Blockchain Technology in Education Financial Management for Transparency and Accountability

The education system requires transparent and accountable financial management to ensure efficiency, fairness and sustainability. However, there are still many challenges in achieving this, especially related to limited transparency and reliability of financial data. Blockchain technology offers the potential to increase transparency and accountability in educational financial management by providing proof of authentication and an immutable track record. This research aims to explore the potential for integrating blockchain technology in educational financial management to increase transparency and accountability. Researchers also aim to analyze its impact on efficiency and fairness in the education system. This research method uses a qualitative approach with literature study and case analysis. Researchers analyzed literature related to blockchain technology in the context of educational financial management, and collected data from case studies of blockchain technology implementation in educational institutions that have adopted it. The research results show that the integration of blockchain technology in educational financial management can increase transparency and accountability by providing immutable proof of authentication for every financial transaction. In addition, the use of blockchain technology can increase the efficiency of financial administration processes and minimize the risk of fraud or data manipulation. The conclusion of this research is that the integration of blockchain technology in educational financial management has great potential to increase transparency, accountability and efficiency in the education system. However, challenges related to infrastructure availability and technical understanding need to be overcome to optimize its benefits. Therefore, strategic and collaborative steps from related parties are needed to encourage widespread adoption of this technology in educational financial management.

What factors influence the intention to adopt blockchain technology in accounting education?

This study examines the critical factors driving the adoption and integration of blockchain technology in accounting education. Employing a moderated model based on the technology acceptance model (TAM), the study investigates what motivates faculty members to adopt and integrate blockchain. Organizational support serves as a key moderating factor in this study. The study employed a quantitative approach, analyzing data from 191 faculty members at Indian universities and colleges using SmartPLS 4 software. The findings emphasize the significance of organizational support in shaping behavioral intentions, with notable effects on perceived usefulness and attitudes toward blockchain adoption. Additionally, perceived ease of use indirectly affects behavioral intentions through its impact on perceived usefulness and attitude. The moderated model explained 64% of the variance in behavioral intentions toward blockchain integration in accounting education. These results offer valuable implications for educational policy, not only in India but also in similar developing nations. By comprehending the relationship between organizational support and faculty members’ perceptions, policymakers can formulate strategies to effectively integrate blockchain technology into accounting education, encouraging innovation in university practices for the digital era.

Energy-aware proof-of-authority: Blockchain consensus for clustered wireless sensor network

This study addresses integrating blockchain technology into lightweight devices, specifically clustered Wireless Sensor Networks (WSNs). Integrating blockchain into the WSNs solves the problems of heterogeneity, data integrity, and data confidentiality. However, no blockchain integration considers network lifetime in WSNs. This research focuses on developing a permissioned blockchain system that incorporates a consensus mechanism known as Proof-of-Authority (PoA) within clustered WSNs with two main features. The first feature is to enhance the network lifetime by introducing a rotational selection of block proposers using an Energy-Aware PoA (EA-PoA) weighting mechanism. Known as the Multi-Level Blockchain Model (MLBM), the subsequent feature is to create a hierarchical network model within a blockchain network. The MLBM network comprises both local and master blockchains. Each cluster inside a WSN possesses its local blockchain network. In the MLBM, the local blockchain creates a block on the main blockchain by proposing the headers of every 10 blocks to improve data integrity. Each local blockchain has its leader, which can increase block production. The results show that the proposed solution can overcome traditional PoA performance and is suitable for clustered WSNs. In terms of lifetime, the EA-PoA selection method can extend the network lifetime by up to 10%. In addition, the MLBM can increase block production by up to twice each additional cluster compared to a single blockchain network used in traditional PoA.

A Novel Framework for Cloud Data Security with Blockchain Technology and Distributed Virtual Machine Agents

Even though cloud computing has advanced over the years, the two major challenges currently faced by cloud computing are data security and trusted computing. In cloud computing applications, blockchain technology can enhance data security and trusted computing when paired with virtual machine agents and mobile agent technologies. A decentralized new framework for distributed computing is blockchain. A potential area of study is the integration of blockchain technology with cloud computing, leveraging the former's security mechanisms to enhance the latter's secure computing and storage capabilities. The usage of the proposed framework builds on the inherent security features of blockchain technology in an effort to secure data and information integrity, confidentiality and authentication in cloud environments. Through the introduction of distributed virtual machine agents, the framework increases the scalability and effectiveness of data protection mechanisms for virtual data environments that can be used to store information protected by cloud security measures. Thus, the proposed study substantiates the applicability and efficiency of the existing and emerging problems of cloud data security and this approach develops satisfactory data protection solutions.

Blockchain-Powered Secure Communication Protocol for the Internet of Medical Things (IoMT)

The Internet of Medical Things (IoMT) through network technology provides smart medical devices, equipment, and software to connect different patients and users with medical information. Integrating Blockchain technology into IoMT-based healthcare IoT solutions increases security and privacy. Blockchain’s decentralized architecture ensures data integrity, confidentiality, and traceability of patient information throughout its entire lifecycle. It solves deficiencies in data storage, transmission, and computation in the IoT ecosystem by using encryption technology and smart contracts. This integration provides real-world benefits such as creating tamper-proof documents and building trust between patients and doctors. The research helps improve the security of healthcare systems and highlights the important role of Blockchain in protecting sensitive medical data in the IoT environment.

Harnessing the power of blockchain technology to support decision-making in e-commerce processes

Technology, such as blockchain, has emerged as a promising solution for addressing the challenges of e-commerce decision-making. In this study, we explore the potential benefits of integrating blockchain technology into e-commerce and its role in supporting decision-making in e-commerce. We also examine blockchain’s benefits in terms of enhanced security, transparency, and efficiency for e-commerce platforms. Furthermore, the study discusses the challenges of implementing blockchain for e-commerce, including scalability, integration, regulatory frameworks, user experience, privacy, interoperability, and sustainability. By analyzing these challenges, the study provides valuable insights for future research and development efforts to facilitate a seamless adoption of blockchain technology in e-commerce decisions. Blockchain technology holds the potential to transform an e-commerce ecosystem by overcoming these challenges and unlocking its transformative potential.

Blockchian Based Hybrid Consensus Algorithm for Data Security in Edge Computing

Abstract: Edge computing has emerged as a paradigm to process data closer to its source, enabling low-latency and real-time applications. However, the distributed and heterogeneous nature of edge environments poses significant challenges for ensuring data security and integrity. Blockchain technology offers a promising solution by providing a decentralized and immutable ledger for recording transactions. This abstract proposes a consensus algorithm tailored for securing data in edge computing environments using blockchain technology. The proposed consensus algorithm leverages a hybrid approach combining Proof of Authority (PoA) and Practical Byzantine Fault Tolerance (PBFT). PoA ensures that only trusted nodes within the edge network are eligible to participate in the consensus process, mitigating the risk of malicious attacks. PBFT enhances the efficiency and scalability of the consensus algorithm by allowing fast decision-making among a subset of nodes, thereby reducing latency in data validation and verification. Furthermore, smart contracts are employed to enforce data access control and execute predefined rules for data processing and sharing. These smart contracts facilitate secure and transparent interactions among edge devices, ensuring that only authorized parties can access and manipulate sensitive data. The integration of blockchain technology with edge computing offers several benefits, including enhanced data security, traceability, and accountability. By employing a tailored consensus algorithm, edge computing environments can effectively mitigate security threats while maintaining low-latency data processing capabilities. Future research directions may explore optimization techniques to further improve the performance and scalability of the proposed solution in large-scale edge networks.

Novel Approach on Peer-to-Peer Carpooling Using Blockchain

Abstract: Peer-to-peer (P2P) carpooling platforms have emerged as a promising solution to address transportation inefficiencies, reduce traffic congestion, and alleviate environmental impacts. However, existing P2P carpooling systems encounter challenges related to trust, security, and transparency. This work proposes a novel approach to enhance P2P carpooling through the integration of blockchain technology. Blockchain, a decentralized and immutable ledger, offers inherent advantages such as trust, transparency, and security. By leveraging blockchain, this proposed system aims to address key issues in P2P carpooling, including identity verification, payment settlement, and data integrity. Smart contracts, programmable self-executing agreements, enable automated transactions and enforce rules within the carpooling ecosystem.

A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks

This study principally addresses the challenges associated with streaming videos in wireless Mobile ad hoc networks (MANETs), primarily constrained by wireless channels and node mobility. This study proposes a novel routing protocol incorporating a feedback mechanism and cross-layer architecture, supported by three key enhancements. First, it incorporates a route recovery strategy for detecting link failures and re-establishing connections based on predefined Quality of Service (QoS) metrics. Second, a novel algorithm estimates the available bandwidth, enabling dynamic adaptation of bitrate at the application layer concerning the source video. This novel rate-adaptive approach utilizes a scalable layered structure of the video coding, thereby removing layers that the network cannot efficiently support due to bandwidth limitations. Third, a gateway discovery procedure enhances the connectivity among MANETs and other infrastructure networks. This method employs available bandwidth as a parameter while selecting appropriate gateways and dynamically adjusts operational parameters like proactive area size and advertisement message frequency. The performances of the proposed Enhanced OLSR (E-OLSR) protocol are compared with the state-of-the-art routing procedures such as Adhoc on-demand distance vector (AODV), destination sequenced distance vector (DSDV), and optimized link state routing (OLSR), in terms of metrics like packet delivery ratio (PDR), end-to-end (E2E) delay, throughput, as well as energy consumption. The simulation results demonstrated notable improvements, including reduced packet delay, fewer dropped packets, and decreased link failures, indicating effective utilization of available bandwidth. The overall performance of the proposed E-OLSR protocol exceeds other traditional protocols and its security is enhanced through the integration of Blockchain Technology.

Blockchain application in energy trading for grid-connected prosumers

The Gautrain railway link in the Gauteng province of South Africa is a crucial transportation facility that has faced considerable energy-related difficulties and hence a dependable power supply is essential to ensure the continuous operation of railway processes. The total number of passenger trips on the Gautrain, in a year, is two million plus. The railway system, which has always relied on grid electricity to power trains, stations, lights, security, and operations is facing increasing difficulties because of rising electricity demand and costs, and power-related outages. To address these issues, the study designed an optimised power generation system for the Gautrain railway link (GRL) using a photovoltaic (PV) system with energy storage connected to the grid to lower energy costs, promote economic growth, and satisfy its energy demand. The Advanced Interactive Multidimensional Modelling System (AIMMS) tool was used to optimise the incorporation of solar energy generation and battery energy storage into the GRL power system. This study contributes to sustainable energy development by leveraging renewable solar energy, optimising the GRL power system, and integrating blockchain technology for peer-to-peer (P2P) energy trading. A smart contract is compiled and deployed within the Remix Online IDE to apply a logic that manages energy generation, consumption, and P2P energy trading amongst prosumers. It furnishes a replicable model for the advancement of electrical energy systems within diverse transportation networks, therefore fostering the adoption of energy-efficient practices.

Blockchain Integration in Cyber Security: Strengthening Defenses and Ensuring Data Integrity

The rapid advancement of digital technologies has introduced both remarkable opportunities and challenges to cybersecurity. Traditional security measures often prove inadequate against the increasingly sophisticated cyber threats. Blockchain technology has surfaced as a compelling solution for ensuring security in recent times cybersecurity defenses and boost data integrity. This paper delves into the integration of blockchain technology within cybersecurity frameworks, exploring its potential advantages and hurdles. Through a comprehensive examination of existing literature and case studies, this study illustrates how blockchain can alleviate various cybersecurity risks, encompassing data breaches, unauthorized access, and tampering. Additionally, it discusses the outcomes of blockchain adoption across diverse industries and outlines potential avenues for future research in this dynamic domain.

Integrating blockchain technology success factors in the supply chain of circular economy-driven construction materials: An environmentally sustainable paradigm

Integrating blockchain technology (BT) with the circular economy (CE) concepts into the building materials supply chain is a crucial yet understudied field of research. Incorporating blockchain into the supply chain of circular economy-driven construction materials poses challenges in ensuring transparency, traceability, and efficiency while meeting sustainability goals. To fill this gap, this study aims to investigate the critical success factors (CSFs) of blockchain technology in the supply chain of circular economy-driven construction materials. A thorough literature analysis was used to identify CSFs based on the PESTEL (Political, Economic, Social, Technological, Environmental, and Legal) aspects. Following that, expert interviews were used to confirm these CSFs. A questionnaire survey was developed and distributed online to gather information from industry and academic specialists. The fuzzy DEMATEL algorithm was used to analyze the gathered data. The study's findings emphasize CSFs, which include data security and privacy protections, stakeholder participation, and the accessibility and affordability of blockchain solutions. This study provides valuable advice to organizations incorporating blockchain technology while upholding circular economy standards. Additionally, by matching these CSFs to theoretical ideas, the study's theoretical implications highlight the positive synergy between technology, sustainability, and stakeholder participation.

Challenges in adopting blockchain technology in supply chain management: a too far fetched idea?

PurposeRecent technological advancements, often linked to Industry 4.0, require organizations to be more agile and innovative. Blockchain technology (BT) holds immense potential in driving organizations to achieve efficiency and transparency in supply chains. However, there exist some insurmountable challenges associated with the adoption of BT in organizational supply chains (SC). This paper attempts to categorically identify and systematize the most influential challenges in the implementation of BT in SC.Design/methodology/approachThis study resorts to an extensive literature review and consultations with experts in the field of supply chain management (SCM), information technology and academia to identify, categorize and prioritize the major challenges using VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Combined Compromise Solution method (CoCoSo).FindingsThe top three classes of challenges revealed in this study are privacy challenges (PC), infrastructure challenges (IC) and transparency challenges (TC). Maintaining a balance between data openness and secrecy and rectification of incorrect/erroneous input are the top two challenges in the PC category, integration of BT with sustainable practices and ensuring legitimacy are the top two challenges in the IC category, and proper and correct information sharing in organizations was the top most challenge in the TC category.Originality/valueFuture scholars and industry professionals will be guided by the importance of the challenges identified in this study to develop an economical and logical approach for integrating BT to increase the efficiency and outcome of supply chains across several industrial sectors.

Developing a framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities

PurposeEarthquakes pose a significant challenge to human safety and the durability of infrastructure, highlighting the urgent need for innovative disaster management strategies. This study addresses the gap in current earthquake disaster management approaches, which are often related to issues of transparency, centralization and sluggish response times. By exploring the integration of blockchain technology into seismic hazard management, the purpose of the research is to overcome these limitations by offering a novel framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities.Design/methodology/approachThis study develops an innovative approach to address these issues by introducing a blockchain-based seismic monitoring and automated decision support system for earthquake disaster management in smart cities. This research aims to capitalize on the benefits of blockchain technology, specifically its real-time data accessibility, decentralization and automation capabilities, to enhance earthquake disaster management. The methodology employed integrates seismic monitoring data into a blockchain framework, ensuring accurate, reliable and comprehensive information. Additionally, smart contracts are utilized to handle decision-making and enable rapid responses during earthquake disasters, offering an effective alternative to traditional approaches.FindingsThe study results highlight the system’s potential to foster reliability, decentralization and efficiency in earthquake disaster management, promoting enhanced collaboration among stakeholders and facilitating swift actions to minimize human and capital loss. This research lays the foundation for further exploration of blockchain technology’s practical applications in other disaster management contexts and its potential to transform traditional practices.Originality/valueCurrent methodologies, while contributing to the reduction of earthquake-related impacts, are often hindered by limitations such as lack of transparency, centralization and slow response times. In contrast, the adoption of blockchain technology can address these challenges and offer benefits over various aspects, including decentralized control, improved security, real-time data accessibility and enhanced inter-organizational collaboration.

Blockchain and Machine Learning Integration for Data Privacy and Security

Purpose: In today's world, data is gathered without any particular objective in mind; every action taken by a computer, or a human being is documented, and the data is studied in the future, if it is considered important to do so. The data will be subjected to several steps for analysis by a variety of parties, which raises the issue of trust in this context. There is a risk that the organizations involved in the analytical stages may abuse the data, which might contain private or sensitive information. Consequently, data privacy considerations should be carefully considered at this time. Methodology/Findings: A definition of "data privacy" is the practice of limiting access to information according to how important it is. People are usually very comfortable giving out their names to strangers, but they'll wait to give out their mobile phone numbers until they're more familiar with the individual. In this era of digital technology, important personal information is often the target of individuals' efforts to protect their data. From a business's point of view, data privacy encompasses more than just employees' and consumers' private information. Data privacy issues are often believed to be a barrier to the widespread adoption of AI and ML-driven technology. The reason for this is that ML can only be trained and tested on very large data sets. Implications to Theory, Practice and Policy: Imagine a world where trust is impossible to establish; here is where Blockchain technology might be useful. Blockchain uses the data anonymously. In this study, we provide a solution that ensures data security by integrating Blockchain technology with machine learning (Alfandi et al., 2020).