Follow blockchain research across journals, conferences, and preprint repositories.
530 results · page 5 of 23
Aissa Djedaiet, Hassan Guenichi, Hicham Ayad
No abstract is available for this record.
Srikant Gupta, Pooja Kushwaha
Purpose The purpose of our research on blockchain technology is to unveil its immense potential, understand its applications and implications and identify opportunities to revolutionize existing systems and processes. This research aims to inspire the creation of new innovative solutions for industries. By harnessing blockchain technology, organizations can pinpoint key areas that could significantly benefit from its use, such as streamlining operations, providing secure and transparent digital solutions and fortifying data security. Design/methodology/approach This study presents a robust multi-criteria decision-making framework for assessing blockchain drivers in selected Indian industries. We initiated with an extensive literature review to identify potential drivers. We then sought the opinions of experts in the field to validate and refine our list. This meticulous process led us to identify 26 drivers, which we categorized into five main categories. Finally, we employed the Best-Worst Method to determine the relative importance of each criterion, ensuring a comprehensive and reliable assessment. Findings The authors have ranked the blockchain drivers based on their degree of importance using the Best-Worst Method. This study reveals the priority of BC implementation, with the retail industry identified as the most in need, followed by the Banking and Healthcare industries. Various critical factors are identified where blockchain technology could help reduce costs, increase efficiency and enable new innovative business models. Research limitations/implications While this study acknowledges potential bias in driver assessment relying on literature and expert opinions, its findings carry significant practical implications. We have identified key areas where blockchain technology could be transformative by focusing on select industries. Future research should encompass other industries and real-world case studies for practical insights that could delve into the adoption challenges and benefits of blockchain technology in many other industries, thereby amplifying the relevance of our findings. Originality/value Blockchain is a groundbreaking, innovative technology with immense potential to revolutionize industries. Past research has explored the benefits and challenges of blockchain implementation in specific industries or sectors. This creates a gap in research regarding systematically classifying and ranking the importance of blockchain across different Indian industries. Our research seeks to address this gap by using advanced multi-criteria decision-making techniques. We aim to provide a comprehensive understanding of the significance of blockchain technology in critical Indian industries, offering valuable insights that can inform strategic decision-making and drive innovation in the country’s business landscape.
Matthew Ambrosia, John Dorrell, Thomas Stockwell
No abstract is available for this record.
Mohd Waseem, Shailendra Singh
Over the last decade, Bitcoin and Ethereum have become cryptocurrencies that have attracted the attention of the financial world with their potential for business transactions and the use of new blockchain technology. This study is dedicated to predicting Bitcoin and Ethereum price trends from 2014 to 2024, covering the main period of growth and change in the cryptocurrency market. This research aims to develop a good forecasting model through a comprehensive analysis of historical price data, market trends, economic progress and macroeconomy. It uses techniques such as machine learning, time series analysis, and sentiment analysis to try to predict future price movements of Bitcoin more accurately and Ethereum. By revealing the fundamental principles influencing cryptocurrency prices, this research leads to a deeper understanding of the dynamics driving digital assets and their impact on the financial sector.
Lambis Dionysopoulos, Andrew Urquhart
This paper highlights the growth and importance of stablecoins since they were launched 10 years ago. We outline their impact on the cryptocurrency ecosystem as well as the financial system as a whole, while also summarising the main findings in the literature. Finally, we outline future research directions. • This paper highlights the growth and importance of stablecoins since they were launched 10 years ago. • We outline their impact on the cryptocurrency ecosystem as well as the financial system as a whole. • We summarise the main findings in the literature. • Finally, we outline future research directions.
Zein Alamah, Ali Fakih
No abstract is available for this record.
Umar Nawaz Kayani, Mirzat Ullah, Ahmet Faruk Aysan, Sidra Nazir · 5 authors
This study delves into an exploration of quantile connectedness across the domains of digital and traditional financial assets with the renewable energy prices index. The daily frequency dataset, spanning from January 02, 2018, to December 04, 2023, encapsulates diverse economic crises. Our inquiry elucidates distinctive patterns by employing empirical analyses utilizing quantile connectedness and Time-Varying Parameter Vector Autoregressive (TVP-VAR) methodologies. In this context, DeFi assets (Chain-link) emerge as the primary recipient of information shocks, while Bitcoin distinguishes itself as the preeminent transmitter of such shocks within the network. Notably, digital assets manifest heightened volatility in contrast to traditional and energy indices. Furthermore, our findings underscore that the gaming industry, specifically focusing on Non-Fungible Tokens (NFT), presents itself as the most fitting asset for portfolio inclusion. This assertion gains credence from its comparatively lower degree of connectedness with other underlying assets. These findings have significant implications for investors and portfolio managers, furnishing valuable insights into the dynamics of asset interdependencies. Consequently, this aids in cultivating a more discerning approach to investment decision-making. • Bitcoin is a significant transmitter of shocks, whereas DeFi assets like Chain-link predominantly receive them, highlighting their central roles in financial networks. • Digital assets exhibit higher volatility than traditional and energy assets. The gaming industry, notably through Non-Fungible Tokens (NFTs), offers potential for portfolio diversification due to their minimal connectedness with other asset classes. • The study provides critical insights into the interconnectedness of various assets, crucial for investors and portfolio managers to refine investment strategies and enhance decision-making.
Pankaj Kashyap, Upasana Dohare, Manoj Kumar, Sushil Kumar
No abstract is available for this record.
S.J. Hong, Jordan James O. Go, Miles Patrice T. Villegas, Julianna Nicole D. De Leon
No abstract is available for this record.
Ijaz Younis, Muhammad Abubakr Naeem, Waheed Ullah Shah, Xuan Tang
This study analyzes the inter-dependence of the oil, gold, Bitcoin (BTC), and Gulf Cooperation Council stock markets during the recent Russia–Ukraine and Israel–Palestine conflicts. The study found that these markets were less inter-connected during oil battles and the Russia–Ukraine conflict but more inter-connected during the COVID-19 crisis. Findings indicated that Oman, Kuwait, gold, and Qatar are the most significant spillover receivers, whereas the United Arab Emirates (UAE), Kingdom of Saudi Arabia, and West Texas Intermediate are the primary risk spillover transmitters in the Israel–Palestine conflict. Additionally, BTC and the UAE are significant transmitters, whereas Kuwait and Qatar are the highest-risk spillover receivers in the Russia–Ukraine war. Portfolio estimates revealed that gold, BTC, and/or oil are useful in various equity markets for portfolio diversification and hedging under different market conditions and time horizons. These data can guide managers in portfolio construction and risk diversification. • We examine the connectedness between oil, gold, bitcoin, and the GCC equity markets. • Gold is the net recipient in all frequencies and sub-sample periods. • Connectedness becomes lower in the oil battles, while higher in the COVID-19. • Oil (bitcoin) is the net recipient during the oil battle periods. • We estimate optimal portfolio weights and hedge ratios for portfolio strategies.
Tecnológico de Estudios Superiores de Valle de Bravo, Adalberto González-Flores
The development of a monetary system that includes advancing the understanding of the factors that affect the price of cryptoassets. Halving is a unique event in the Bitcoin ecosystem that halves the reward per mined block. Studying its impact on the price would allow a better understanding of the supply and demand dynamics that determine the market value of bitcoin and other cryptocurrencies.
Milankumar Rana
<div> Blockchain technology is making a huge difference in the global technology system where it proves better security than traditional system, gaining trust among users for transparency and solving many problems which the current economy is facing. Transaction being done via decentralized network has gasps attractions of many industries including shipping, healthcare and supply chain with less time and accuracy. The decentralized Finance system is solving problems including traditional banking accessibility in remote regions where banks are not available for transactions, Decentralized Finance (DeFi) which reduces cost of infrastructure and mankind by providing direct access to their asset and trade via internet. Although there are governments policies and regulations that are still not clear amongst many countries, even technology is for good but not able to use it due to limited knowledge and guidance. This paper explores how the global economy can be put in such a situation where new technology can not only help government bodies to tackle traditional finance challenges but also mitigate risks, tackle cybercrimes and increase transparency so that everyone across globe can feel secure about innovation in blockchain. This paper will also do analysis of how big data is making a difference in global economy and how government policies are affecting big data and blockchain technology. </div>
Taher Al‐Shehari, Mohammed Kadrie, Taha Alfakih, Hussain AlSalman · 9 authors
The rise of Electric Vehicles (EVs) has introduced significant advancement and evolution in the electricity market. In smart transportation, the EVs have earned more popularity because of its numerous benefits including lower carbon footprints, higher performance, and sophisticated energy trading mechanisms. These potential benefits have resulted in widespread EV adoption across the world. Despite its benefits, energy management remains the biggest challenge in EVs and it is mainly because of the lack of Charging Stations (CSs) near EVs. This creates a demand for an effective, secure and reliable energy management framework for EVs. This study presents a secure data and energy trade paradigm based on Blockchain (BC) in the Internet of EVs (IoEV). BC technology prepares for the high volume of EV integration that serves as the foundation for the next generation, and to assist in developing unique privacy-protected BC-based D-Trading and storage Models. Entities evaluated for the proposed model include Trusted Authority (TA), Vehicles, Smart Meters, Roadside Units (RSU), BC, and Inter-Planetary File System (IPFS). In addition, E-trading involves several phases, including the acquiring E-trading demand requests, E-trading response requests, request matching and token assignment. Moreover, account mapping is performed using a Mayfly Pelican Optimization Algorithm (MPOA), which is created by merging the Mayfly Algorithm (MA) and Pelican Optimization Algorithm (POA). Various security features are used to protect data and energy trade in IoEV, including encryption, hashing, polynomials, and others. The testing results revealed that the MPOA outperformed the state-of-the-art results regarding memory consumption, trading rate, transaction cost, and trading energy volume with values of 4.605 MB, 91%, 0.654, and 90 kW, respectively.
Suneet Singh, Saurabh Pratap, Ashish Dwivedi, Lakshay Lakshay
Purpose In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions. Design/methodology/approach This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry. Findings The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors. Originality/value The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.
S.M Liu, Yiluan Yang, Yuxin Fan
Since the financial crisis, bitcoin has become a pioneer among virtual currencies, and much attention has been focused on its mechanisms, market risk and expected development. Despite extensive research into these aspects, the broader significance of bitcoin's existence has gone unnoticed. A critical facet is Bitcoin mining, notorious for its substantial energy consumption and subsequent carbon emissions. This dynamic interplay with the environment and energy market is a pivotal yet understudied aspect of Bitcoin's impact. Consequently, this paper seeks to fill this research gap by synthesizing existing literature on the repercussions of bitcoin mining on energy consumption and the environment. By delving into the intricate relationship between Bitcoin mining and its environmental consequences, the paper aims to shed light on a critical yet often neglected dimension. Furthermore, the analysis extends to examining the responsiveness of prevailing government policies to address the environmental concerns associated with Bitcoin mining. This endeavor underscores the necessity for a comprehensive understanding of the broader consequences of cryptocurrency activities, particularly in the realm of energy consumption and environmental sustainability.
Konstantinos A. Dimitriadis, Demetris Koursaros, Christos S. Savva
This study investigates whether representative sectoral stock indices, gold, oil, Bitcoin, and wheat can mitigate risk and improve portfolio performance during normal times versus crises. The cutting-edge Quantile Vector Autoregressive model and the Generalized Dynamic Conditional Correlations (Generalized-DCC) framework are adopted covering from 9 January 2017 until 30 August 2022. Econometric findings by the Q-VAR reveal that oil presents the strongest connection with commodities and stock indices and that Bitcoin and wheat despite their significant linkages with financial markets fail to act as safe havens. Moreover, GDCC-GARCH indicates that the returns of sectoral indices are weakly related but display powerful volatility co-movements. Gold serves efficiently as a hedger and oil follows and both act as better shelters during crises. Nevertheless, Bitcoin partly abides by conventional markets in stressed periods. Notably, wheat reliably works as a hedger overall but does not become a safe haven during crises.
Daniela Balutel, Walter Engert, Christopher S. Henry, Kim P. Huynh · 5 authors
Abstract This paper studies the dynamics of bitcoin ownership from 2016 to 2021, using the Bank of Canada's Bitcoin Omnibus Surveys. The estimated rate of bitcoin ownership jumped to 13% in 2021, up from the 5% observed in the previous three years. On one hand, this increase reflected broader economic trends related to increased savings and investment of Canadians during the COVID‐19 pandemic, along with financial technology companies providing accessible and user‐friendly platforms for buying bitcoin. Looking deeper, we use econometric models to quantify several specific ways in which bitcoin became more mainstream as an investment in 2021. Finally, we investigate the high cash holdings of bitcoin owners across time.
Adeolu O. Adewuyi, Bashir Adelowo Wahab, Aviral Kumar Tiwari, Hung Xuan
No abstract is available for this record.
Navodana Rodrigo, Srinath Perera, Sepani Senaratne, Xiaohua Jin
Purpose Carbon management in the construction industry plays a vital role as carbon emissions have a significant impact on the environment. Current emphasis on reducing operational carbon through passive designs, zero carbon buildings and so forth has resulted in losing focus on embodied carbon (EC) reduction. Though there are various databases and tools to estimate EC in construction, these estimates are lacking in accuracy and consistency. A Blockchain-based Embodied Carbon (BEC) Estimator was developed as a solution to accurately estimate EC using a supply chain value addition concept as a methodology. Design/methodology/approach This study focused on developing, testing and validating the blockchain-based prototype system identified as BEC Estimator. The system was developed using Hyperledger Fabric following a waterfall model. Case studies and an expert forum were used to test and validate BEC Estimator. Findings The system architecture, development process and the user interface of BEC Estimator are presented in this paper. The comparative evaluation with existing EC databases/tools and the expert forum validated the functioning of BEC Estimator and proved it to be an accurate, secure and trustworthy EC estimating system. SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis identified the strengths and opportunities that will benefit the industry as well as the weaknesses and threats in the system that could be mitigated in future. Originality/value BEC Estimator accurately accounts for EC additions happening at each supply chain node for any product that gets incorporated in a building, thereby facilitating EC-related decision-making for all relevant stakeholders.
Junji Li, Li Yang, Gaimei Gao, Jiaqi Zhang
In natural gas automated trading, transaction efficiency of the whole trading system will inevitably be affected with the expansion of network size and the increase of transaction volume. In order to improve the timeliness of the consensus algorithm, a hybrid consensus algorithm PoE (Proof of Evaluation) which combines proof-of-work and proof-of-stake based on evaluation model is proposed. Firstly, the nodes are randomly and uniformly grouped, and each group performs the selection of candidate nodes in a PoW manner, which divides the nodes into candidate nodes and normal nodes, and reduces the difficulty of hash computation, thus reducing the arithmetic resources consumed in finding random numbers. Secondly, the upper limit of the entitlement value is set, which solves the problem of infinite growth of the entitlement. The credit mechanism is introduced to obtain the credit evaluation of the nodes. And lastly, the candidate nodes are evaluated by the evaluation model with a weight val-ue evaluation, and the candidate node with the largest weight value obtains the block bookkeeping right. Theoretical studies and simulation experiments show that our algorithm can reduce the waste of arithmetic resources, balance the competition for bookkeeping rights, and improve the security while reducing the delay and increasing the throughput. It provides new ideas to enhance the function of blockchain system, and also meets the basic technical standards of natural gas automated transactions, effectively solving the problems of transaction processing inefficiency in natural gas automated transactions.
Peng Wang
<div>Supply chain management is key to industry efficiency, while information security and transparency are at the core of operations management. Blockchain technology shows great potential in this regard and can effectively make up for existing shortcomings. This article deeply explores the application of blockchain in new energy vehicle supply chain management, focusing on enhancing the systematization and collaboration of the supply chain through smart contract mechanisms. We established a collaborative contract model for the three-level supply chain. Especially from the perspective of the intermediate supply chain, we designed a smart contract mechanism to optimize key links such as order processing, payment, and logistics tracking, and used the alliance chain to ensure the safe sharing and sharing of information. At the same time, we have also developed an interactive system for each link of the supply chain and achieved smooth interaction in the new energy vehicle supply chain by adjusting the parameters and functions of smart contracts. Using the Ethereum scripting language, we built a blockchain smart contract mechanism based on supply chain contracts. This research not only demonstrates the potential value of blockchain technology in promoting supply chain information sharing and enhancing mutual trust, but also highlights its importance in supply chain management innovation and practical application.</div>
Guocong Zhang, Sonia Chien-I Chen, Xiucheng Yue
This study employs the Shanghai Environment and Energy Exchange as a case study to investigate the effects of blockchain technology applications on transaction prices within the carbon trading market. Utilizing an event study methodology, the research demonstrates that blockchain technology significantly enhances the transparency, security, and efficiency of the carbon market, thereby exerting a positive influence on transaction prices. Nonetheless, the study also identifies several challenges associated with blockchain applications, including increased costs, heightened energy consumption, transaction delays, and substantial learning costs. To mitigate these issues, the study proposes optimizing blockchain architecture, incorporating Layer 2 technologies to expedite transaction processes, and developing innovative regulatory frameworks.
Jizi Li, Fangbing Liu, Zuopeng Zhang, Longyu Li · 5 authors
Abstract Electric vehicles (EVs) and their battery recycling have recently garnered heightened attention from both firms and consumers, primarily driven by concerns related to environmental sustainability. However, consumers often grapple with uncertainties regarding the green valuation of EVs. Integrating blockchain traceability technology presents a promising solution to mitigate these ambiguities by providing traceable, immutable, and precise information. Within this context, this research, grounded in a game-theoretical framework, delves into the strategies involving blockchain traceability in the pre-purchase and post-purchase stages of EVs. Specifically, the paper analytically studies the influence of three distinct strategies, namely, non-blockchain traceability, forward blockchain traceability, and Forward–reverse blockchain traceability, on the willingness of EV manufacturers to adopt blockchain technology. In addition, the study incorporates two prevalent government subsidies to scrutinize and contrast their implications on optimal outcomes. The findings of this study uncover the nuanced relationship between adopting blockchain traceability and its impact on EV sales. Notably, the research shows that the positive impact on consumers’ surplus from blockchain adoption depends on the cost coefficient of green low-carbon levels not exceeding a particular threshold. Moreover, regarding the use of government subsidies to enhance overall social welfare, it is shown that the forward blockchain traceability strategy should align with consumer-oriented subsidies and the Forward–reverse blockchain traceability strategy with EV maker-oriented subsidies.
Jong-Hyuk Park, Inwhee Joe
In modern society, the proliferation of electric vehicles (EVs) is continuously increasing, presenting new challenges that necessitate integration with smart grids. The operational data from electric vehicles are voluminous, and the secure storage and management of these data are crucial for the efficient operation of the power grid. This paper proposes a novel system that utilizes blockchain technology to securely store and manage the black box data of electric vehicles. By leveraging the core characteristics of blockchain—immutability and transparency—the system records the operational data of electric vehicles and uses federated learning (FL) to predict their energy consumption based on these data. This approach allows the balanced management of the power grid’s load, optimization of energy supply, and maintenance of grid stability while reducing costs. Additionally, the paper implements a searchable black box data storage system using a public blockchain, which offers cost efficiency and robust anonymity, thereby enhancing convenience for electric vehicle users and strengthening the stability of the power grid. This research presents an innovative approach to the integration of electric vehicles and smart grids, exploring ways to enhance the stability and energy efficiency of the power grid. The proposed system has been validated through real data and simulations, demonstrating its effectiveness and performance in managing black box data and predicting energy consumption, thereby improving the efficiency and stability of the power grid. This system is expected to empower electric vehicle users with data ownership and provide power suppliers with more accurate energy demand predictions, promoting sustainable energy consumption and efficient power grid operations.