Follow blockchain research across journals, conferences, and preprint repositories.
821 results · page 19 of 35
Julio C. Mendoza-Tello, Jonathan J. Sánchez-Lucas, Juan G. Orosco-Pantoja
No abstract is available for this record.
Evgeny Exter, Milan Radosavljević
Commercial real estate transaction processes are inherently complex, multi-faceted, and multifarious due to multiple intermediaries, a high volume of signed documentation, high costs, and the illiquid nature of these transactions. An emerging area in blockchain technology is smart contracts which hold much potential to transform the commercial real estate industry through the digitalization of decentralized business models that ensure transaction transparency and validity. Despite the potential benefits of smart contracts, their use in the commercial real estate industry is at a nascent stage. In response to this gap, this study proposes a novel approach using Ethereum blockchain technology to enable intermediaries to transact in an informationally symmetrical way within an open real estate in Switzerland. The proposed conceptual model employs tokenisation on the blockchain and is developed using the action design science research methodology. The model undergoes several stages of evolution from pre-design, which is validated through expert interviews, to arrive at the final conceptual design. The study identifies key factors that influence the application of blockchain in real estate transactions, namely adoption, governance and compliance, transaction costs, transparency and immutability, security, and scalability. The results indicate that smart contracts have the potential to significantly reduce transaction costs and improve efficiency in the commercial real estate industry.
Vladislav V. Krasinsky, Anna Norkina, Pavel Y. Leonov, Viktor M. Sushkov
No abstract is available for this record.
Nikhil Khajuria, Suresh Kashyap
Blockchain is a revolutionary, decentralised, repeatable distributed ledger technology that has the power to transform the conventional business landscape in marketing. This study includes a bibliometric analysis of academic literature on the uses, and effects of the adoption of blockchain-based technology in marketing. With a final sample of 109 papers published between 2016 and 2023, first, we identified literary elements that had a significant impact based on highly cited articles, keywords, authors and publications. Afterwards, through a systematic review of academic literature of implication of blockchain in marketing, this study provides the potential application of blockchain in seven core marketing areas namely transactions between the parties, disintermediation, data and data analytics, digital marketing, privacy and security, loyalty programme and payment. This study adds great value to scholars by providing insight into trends and keyword patterns. Finally, the study suggests various lines of inquiry for additional studies on the subject.
Liao Zhou
This article explores the application of blockchain technology in accounting and financial information systems, emphasizing its advantages in transparency, security, and efficiency, and proposing challenges that need to be addressed in widespread adoption.The decentralized nature of blockchain technology can revolutionize traditional accounting practices.Through distributed ledger technology, each transaction information is recorded on an immutable blockchain, ensuring the authenticity and traceability of product information.The article also discusses the application of blockchain in agricultural ecological product supply chain management, how to improve transportation safety and reduce logistics costs by improving the transparency and efficiency of information flow.Finally, the article investigates the impact of blockchain on corporate financial risk, using panel data from listed companies from 2019 to 2023 for empirical analysis, and evaluating corporate financial risk through the Z-Score model.
Preeti Bai Agrawal, Anuradha Samal, Silpa Topo
Cryptocurrency has gained significant traction among Indian investors since 2013. These digital currencies utilize cryptography to secure the generation of units, facilitate transactions, and verify ownership. Bitcoin (BTC), a prominent cryptocurrency, operates as a virtual currency to serve as a decentralized form of money and payment method. It is designed to function independently such that no individual, group, or entity is involved in financial transactions. The process of cryptocurrency involves rewarding blockchain miners for their role in verifying transactions. In exchange for their efforts, miners receive cryptocurrency, which can also be acquired through purchases on various cryptocurrency exchanges. This decentralized and cryptographic approach to currency has contributed to the widespread adoption of cryptocurrencies like Bitcoin, reflecting the evolving landscape of financial transactions in India and globally. In this study, trend analysis of bitcoin has been done on the past 5 years’ closing price data ranging from 2018 to 2022 through technical analysis. The key indicators used for this study are the Relative Strength Index, Moving Average Convergence and Divergence, and on balance volume, (most common indicators as given by Trend Spider) the results showed that the Crypto market is underperforming showing a bearish trend thus providing a buying opportunity for long-term investors.
Wei Zheng
Abstract Blockchain technology is increasingly pervasive in social production and life, and its influence on the accounting and auditing industry is undeniable. The article extensively researches blockchain technology and smart contracts, and it constructs a blockchain-based cloud data auditing model. Combining it with the evolutionary game model completes the construction of the blockchain-based cloud data auditing system. The running cost of the auditing model is analyzed in terms of communication and computation overhead, smart contract cost, time cost, etc., and how it affects the strategies of auditing clients and auditors is studied from the aspects of cost and benefit, respectively. In this paper, the audit model’s average communication overhead and computation overhead are 9.86 KB and 0.82 seconds, respectively. The cost of the smart contract model is relatively low and shows a steady trend. The average query time of this paper’s auditing model is 0.78ms, and none of the validation times on the validator exceeds 5ms, while the average validation times on the blockchain and cloud servers are 11.01ms and 534.35ms, respectively. The auditing client and the auditor tend to adopt the blockchain technology strategy when the cost reduces, or the benefit increases, with a probability of adoption approaching 1 after numerous games.
Thi Hong Nhung Vo, The Huu Chau, Quan Tri Dang
No abstract is available for this record.
Pankaj Pathak, Prasanna Kulkarni, Samaya Pillai, Pradnya Purandare · 5 authors
No abstract is available for this record.
Markéta Suchá
The research question of this bachelor thesis is how and to what extent financial markets influence cryptocurrencies returns. Standard time series methods are applied to five major cryptocurrencies and selected financial variables. These include the Financial Uncertainty Index, the Financial Regulatory Policy Un- certainty, the Consumer Price Index for All Urban Consumers, the Dow Jones Industrial Average, and the Effective Federal Funds Rate. The main result shows that a shock to financial uncertainty has a short-term impact on the crypto market. In addition, the results demonstrate the explanatory power of stock markets for cryptocurrencies, which is consistent with the existing lit- erature. Due to the small sample size, the results should be interpreted with caution. JEL Classification C32, C58, G15, G40 Keywords Cryptocurrencies, Vector autoregression, Granger causality, Impulse Response, Volatility index, Financial Uncertainty Title Cryptocurrencies and financial uncertainty Author's e-mail 92832064@fsv.cuni.cz Supervisor's e-mail barunik@fsv.cuni.cz
Josua Tarigan, Retnaningtyas Widuri, Elisa Tjondro, Saarce Elsye Hatane
This study seeks to investigate the investment persistence among individuals who have maintained cryptocurrency holdings in the previous year. Financial naivety, online compulsive buying, and excessive gaming behaviours influence continuance intention, either through overconfidence or risk tolerance. The sample comprised 1,097 participants selected from the five provinces of Indonesia's most significant internet user bases. Structural equation modeling is utilised in this study. This study demonstrates that excessive gaming behaviour and financial naivety are associated with continuance intention, either directly or indirectly, via overconfidence or risk tolerance. Investors should be cautious regarding their financial naivety and excessive gaming behaviour, as these elements increase the tendency to be overly optimistic. The findings are consistent with the Dunning-Kruger effect. Conversely, this study fail to substantiate the correlation between compulsive buying and continuance intention. The implication is to provide investors with valuable insights into the psychological effects of specific behaviors on investment decisions.
Ivan Ivanovich Kiryushin, Igor' Petrovich Ivanov, Viktor Vladimirovich Timofeev, D Yu Zhmurko
This article explores the possibilities of using blockchain technology in police work. Examples of the use of blockchain in various areas of police activity, such as personal data management, control of drug trafficking and other prohibited substances, traffic monitoring and the fight against cybercrime, are considered. The authors note that thanks to the storage of data in the blockchain, it becomes possible to increase the protection of the confidentiality of personal information, ensure transparency and efficiency of police work, as well as prevent fraud and corruption. The conclusion of the article emphasizes that the use of blockchain can improve the work of the police and ensure greater security of citizens. Distributed ledger technology, or blockchain as a service (BaaS) is indeed a relatively new product on the market that allows you to provide blockchain services for corporate clients. This solution allows you to use more reliable and secure methods of data processing and transaction management within the organization. All these economic effects can lead to a reduction in costs and an increase in the efficiency of the police. In general, the use of blockchain technology in the police can have a number of advantages, such as increasing transparency and accountability, reducing data processing time and combating data falsification. However, it is necessary to take into account some risks, such as the possibility of data privacy violations, as well as difficulties in integrating with existing systems and training personnel. In general, the introduction of blockchain technology into the police requires careful analysis and an approach that takes into account all aspects of the use of technology and its impact on the organization.
Shachie Sandhu, Preeti Dahiya, Pardeep Kumar, Shubhangi Gautam
No abstract is available for this record.
Ivan Lazović, Bojan Đorđević, Marija Lukić
The main goal of the research is to predict the future monthly returns of cryptocurrencies using the Vector Error Correction Model (VECM). Time series for the period 2018-2021 consists o f data on monthly returns for the cryptocurrencies Bitcoin, Ethereum and Ripple, as well as monthly returns on gold and the S&P500 stock index. Within the VECM, using the Johansen and Granger tests, short-term cointegration and causality among variables were determined, without the existence o f long-term equilibrium. The resulting model for short-term prediction o f the monthly returns o f the cryptocurrency Bitcoin was evaluated as unbiased and stable with a realistic forecast error o f 0.168 (16.8%).
F Farnuod Ahmadi, Abbas Toloie Eshlaghy, Reza Radfar
Cryptocurrencies have been widely identified and established as a new form of electronic currency exchange, carrying significant implications for emerging economies and the global economy. This research focused on the "examination and comparison of the efficiency of MLP and SimpleRNN algorithms in predicting cryptocurrency prices" using the Python programming language. Price predictions for Bitcoin, Ethereum, Binance Coin, Cardano, and Ripple were made using two deep learning algorithms (including the MLP algorithm and the SimpleRNN algorithm) over the period from 2017 to 2023. The results of cryptocurrency price prediction using deep learning algorithms were satisfactory; and the comparison of predictions across all cryptocurrencies indicated minimal differences between the algorithms studied, suggesting that they were efficient and had low error rates. Based on the obtained results regarding Bitcoin price prediction, the best algorithm was SimpleRNN; for Ethereum price prediction, the best algorithm was MLP; for Binance Coin price prediction, the best algorithm was SimpleRNN; for Cardano price prediction, the best algorithm was MLP; and for Ripple price prediction, the best algorithm was MLP.
M. Lawanyashri, K. Santhi, Saurya Raj Pandey, Balamurugan Balusamy
This chapter explores the transformative potential of blockchain technology in revolutionizing supply chain finance (SCF). Through a framework integrating service-dominant logic and social exchange theory, we analyze the roles of key participants, their motivations, and the resources and practices employed to create value for all stakeholders. We delve deeper into the specific mechanisms through which buyers, suppliers, financial institutions, and platform providers benefit from blockchain-driven SCF solutions. By analyzing value creation across financial, operational, risk management, sustainability, and social impact dimensions, we demonstrate the tangible benefits of this technology. Furthermore, we showcase real-world examples through case studies and explore emerging applications such as decentralized trade finance, data-driven insights, and tokenization of assets. These advancements unlock new possibilities and underscore the transformative potential of blockchain in shaping a more efficient, transparent, and sustainable future for global supply chains.
Mouhcine Rhouiri, Mohamed Habiboullah Meyabe, Zouheir Boussouf, Fouad Daidai
No abstract is available for this record.
Leonardo Enco, Alexander Mederos, Alejandro Paipay, Daniel Pizarro · 6 authors
No abstract is available for this record.
Tanya Kapoor, Laxmi Ahuja
No abstract is available for this record.
Tarun Kumar Vashishth, Bhupendra Kumar, Md. Shabbir Alam, Vikas Sharma · 5 authors
No abstract is available for this record.
Priyanka Gupta, Roop Shikha, Samridhi Srivastav, Gagan Thakral · 5 authors
No abstract is available for this record.
Deepak Kumar, B.V. Phani, Naveen Chilamkurti, Suman Saurabh · 5 authors
Objective: The objective of the article is to comprehensively examine the application and adoption of blockchain technology in SMEs. Recently, blockchain technology has garnered substantial attention owing to its transformative potential across diverse industries. Blockchain represents a decentralized and distributed ledger system that ensures data transparency, security, and immutability. This unique set of attributes has garnered attention from various sectors, ranging from finance and healthcare to supply chain and beyond. While predominant attention has been directed towards its impact on large corporations and financial institutions, the application and adoption of blockchain technology in small and medium-sized enterprises (SMEs) remains a relatively unexplored area. Research Design & Methods: This research utilized a narrative and critical literature review of the existing literature on blockchain technology and SMEs. Findings: We identified the key areas of application and drivers and barriers to SMEs’ adoption of blockchain technology. Supply chain and finance have emerged as primary domains witnessing heightened blockchain implementation. The intricate nature of supply chain operations involving a multitude of stakeholders and the centralized nature of financing with inherent information asymmetry have propelled blockchain adoption within these sectors. However, the complex nature of technology, regulatory uncertainty, and lack of technological capabilities of SMEs have been the barriers inhibiting the widespread adoption of blockchain technology in SMEs. Implications & Recommendations: The insights derived from this study can facilitate the successful design and implementation of blockchain-based solutions for SMEs. Blockchain solution providers must understand and tailor the solutions to SMEs. Blockchain-as-a-service (BaaS) can accelerate flexible application development, expediting blockchain integration in SMEs. Government, regulatory bodies, and SME groups are urged to collaborate in enhancing technological literacy among SMEs, facilitating their capacity to harness the advantages offered by blockchain technology. Contribution & Value Added: This research contributes to the field by shedding light on the underexplored realm of blockchain technology in SMEs. The created taxonomy, examination of adoption drivers and barriers, and the formulated opportunities-challenges framework provide valuable tools for understanding and navigating blockchain technology’s application and adoption-related challenges in SMEs. The identified gaps and proposed areas for future research further contribute to the ongoing discourse in this evolving field.
Jiacheng Wen
Against the backdrop of increasing integration of the global economy, supply chain finance faces challenges such as information silos, high cost of paper document transmission, and difficulty in risk control. This study focuses on the application of blockchain technology in enhancing the transparency of sustainable procurement for enterprises. Through an indepth analysis of successful cases such as the FILO platform and Walmart, the study reveals how blockchain technology can effectively solve the problem of information asymmetry in the traditional procurement process and improve the transparency and efficiency of procurement through its decentralization, data inerrancy, and traceability throughout the process. The study explores the potential value of blockchain technology in the field of supply chain finance using case study and model construction. The results show that blockchain technology can significantly optimize the procurement management process, reduce the risk of human intervention, promote collaborative supply chain operations, and enhance consumer trust. In addition, the study also looks forward to the future trend of the integration and application of blockchain with artificial intelligence, big data and other technologies, and puts forward relevant policy recommendations and practical insights, which provides a reference path for enterprises to implement blockchain technology to enhance procurement transparency.
Seaam Bin Masud, Md. Masud Rana, Hossain Jaman Sohag, Fisan Shikder · 6 authors
This study examines the integration of blockchain technology and machine learning (ML) to enhance financial transaction security, with a focus on fraud detection, data privacy, and operational transparency.The study explores the combined capabilities of blockchain's decentralized ledger and ML's predictive analytics in securing financial transactions.A systematic review was conducted, sourcing relevant studies from academic databases where literature resources are stored, such as IEEE Xplore, Google Scholar, Scopus, Web of Science, DOAJ, and SCImago.3037 study papers were collected from those academic databases.After screening and testing eligibility, 137 papers were selected to conduct this study.Studies covering blockchain, ML, and their collaborative impact on financial security were selected, classified, and analyzed.Comparative analysis methods highlighted both the strengths and limitations of this dual-technology approach.Results indicate that blockchain's immutability and transparency, alongside ML's data-driven fraud detection capabilities, create a robust framework for transaction security.Blockchain effectively ensures data integrity and transparency, while ML algorithms improve fraud detection and decision-making through real-time data analysis.However, challenges such as scalability, high energy consumption, and high implementation costs persist, limiting adoption in small and medium-sized institutions.The combined application of blockchain and ML presents a transformative potential for financial sectors, particularly in enhancing transaction integrity, regulatory compliance, and risk management.This framework can serve as a model across various industries beyond finance, including government and non-financial organizations, to foster a secure transaction environment.This study primarily relies on qualitative data and lacks empirical validation through quantitative measures.Further, blockchain's energy-intensive nature and ML's data dependency pose obstacles to widespread implementation, especially in resource-constrained settings.Future research should aim at developing costeffective and energy-efficient blockchain and ML solutions to support broader adoption.Additionally, advancements in quantum computing and AI-driven blockchain could address existing security vulnerabilities, making the technology more accessible and scalable.