Бүгінде қаржы секторы Биткойн және Эфириум сияқты криптовалюталар басқаратын блокчейн технологиясы мен ақылды келісімшарттар ұсынатын мүмкіндіктермен мүлдем жаңа дәуірге аяқ басты. Осы жаңа дәуірде таратылған құрылымға ие және қауіпсіз, ашық және өзгермейтін жазу жүйесін ұсынатын блокчейн технологиясы арқылы қаржы секторына әкелген ең маңызды жаңалықтардың бірі - DeFi деп аталатын орталықтандырылмаған қаржылық қосымшалар. DeFi дәстүрлі қаржылық жүйені түрлендіретін, орталық органдарды алмастыратын жүйені құруға мүмкіндік беретін және негізінде ашық әрі қолжетімді қаржы жүйесін құру үшін блокчейн технологиясын қолданатын экожүйе ретінде қабылдана бастады. DeFi қосымшалары арқылы банктерге немесе әртүрлі қаржылық делдал институттарына жүгінбей-ақ ашық және қауіпсіз транзакциялар жасауға бағытталған. Орталықсыздандырудың арқасында пайдаланушыларға өз активтерін толық бақылау қамтамасыз етіледі және олардың орталық органдарға тәуелділігі төмендейді. Бұл зерттеудің мақсаты DeFi-дің (Decentralized Finance-орталықтандырылмаған қаржы) негізгі принциптері мен мүмкіндіктерін бағалау және оның CeFi-ден (Centralized Finance-орталықтандырылған қаржы) айырмашылығын көрсету болып табылады. Мақалада талдау, индукция және дедукция, салыстырмалы талдау әдістері қолданылды. Зерттеудің теориялық және әдіснамалық негізі шетелдік ғалымдардың ғылыми еңбектері мен Defillama және CoinMarketCap ұйымдарының статистикалық есептері болып табылады. Зерттеу нәтижесінде DeFi экожүйесінің орталықсыздандыру және делдалдық институтсыз транзакция жасау сияқты артықшылықтары бар болса да, оның әртүрлі жүйелі және жүйелі емес тәуекелдері бар (мысалы, реттеу, тұтынушылық, технологиялық және операциялық). Бұл тәуекелдер пайдаланушыларды инвестициялық шығынға ұшыратады. Жүйедегі негізгі технологияны түсіну және күшті қауіпсіздік шараларын қолдану арқылы пайдаланушылар осы ықтимал қауіптерді азайта алады. DeFi пайдаланушылары осы ықтимал тәуекелдерді білуі, жаңа платформаларға қатысуы және инвестициялауда мұқият болуы керек. Нәтижесінде, орталықтандырылмаған қаржы әкелетін инновациялық мүмкіндіктерді кеңінен тану және жүйе ішіндегі ықтимал тәуекелдерді азайту арқылы тезірек, арзанырақ және қолжетімді қаржылық қызметтер ұсынылып, DeFi экожүйесі кеңірек таралуы мүмкін.
Smart contracts are revolutionizing financial transactions by automating contractual agreements through blockchain technology, eliminating the need for intermediaries while enhancing security, efficiency, and accessibility across the financial sector. These self-executing protocols operate on predefined conditions, automatically verifying and executing terms without human intervention. Built on distributed ledger technology, smart contracts inherit key blockchain characteristics, including immutability, transparency, and cryptographic security, creating auditable transaction trails that significantly reduce fraud potential. While offering substantial benefits like reduced operational costs, accelerated settlement times, and enhanced financial inclusion, smart contracts face critical challenges, including security vulnerabilities, regulatory uncertainty across jurisdictions, and scalability limitations. Ongoing developments in security approaches like formal verification and specialized auditing firms are addressing vulnerability concerns, while progressive regulatory frameworks are emerging in forward-thinking jurisdictions. The future integration landscape is being shaped by advancements in cross-chain interoperability, Oracle integration for real-world data feeds, layer-2 scaling solutions, AI-enhanced optimization, and hybrid systems combining traditional legal contracts with automated execution. As blockchain technology matures, smart contracts are positioned to fundamentally transform financial infrastructure, contingent upon the continued evolution of security practices and regulatory frameworks.
This systematic review investigates the transformative impact of artificial intelligence (AI) and financial technology (FinTech) innovations on small and medium-sized enterprise (SME) financing, with a focus on enhancing transparency, efficiency, and financial inclusion. Despite the significant potential of AI and FinTech, substantial gaps remain in understanding their cross-regional and cross-industry effects, as well as in addressing persistent challenges such as AI adoption barriers, regulatory constraints, and decentralized data integration. The review synthesizes findings from peer-reviewed articles published from 2024 onward, sourced from Scopus and Web of Science databases, and examines the role of AI-driven solutions and digital financial platforms in SME financing. Results indicate that AI applications in risk assessment and credit scoring have reduced processing times by approximately 40% and improved loan approval rates by 25%. FinTech innovations have contributed to a 30% increase in financial inclusion, particularly among underserved SMEs in emerging economies. However, critical challenges, including data privacy concerns and limited technological infrastructure, continue to hinder broader adoption. This study contributes to the existing body of knowledge by systematically highlighting the role of AI and FinTech in enhancing SME financial performance and by providing actionable insights for policymakers, financial institutions, and entrepreneurs. The findings underscore the need for future research to address adoption barriers and to conduct cross-country comparative studies. Limitations include the exclusive focus on English-language, peer-reviewed sources, which may restrict the generalizability of the conclusions. Further investigations are recommended to explore the long-term impact of AI and FinTech innovations on SME sustainability and the evolution of regulatory frameworks supporting their implementation.
Financial derivatives are widely recognized for their effectiveness in managing interest rate risk, demonstrating the principle of comparative advantage in finance. However, traditional financial derivative transactions are often complex and can expose participants to market and credit risks. To mitigate these risks, reduce transaction costs, and enhance liquidity, this paper proposes a blockchain-based matching mechanism for financial derivatives that uses smart contracts for decentralized counterparty matching and settlement. Smart contracts facilitate secure data sharing among participants, ensuring the integrity and immutability of transaction data. We design a transaction pool mechanism-based smart contracts for counterparty matching and automatic settlement of financial derivatives involving real fiat currencies and introduce an efficient peer-to-peer counterparty matching method, where the entire trading process is conducted on a decentralized blockchain, ensuring greater security and transparency. A prototype implementation based on Ethereum smart contracts validates the effectiveness of our proposed model, demonstrating its potential to streamline and secure financial derivative transactions.
Iulia Cristina Iuga, Raluca Andreea Nerişanu, Larisa-Loredana Dragolea
This study investigates the risk spillover between clean and dirty cryptocurrencies and their impact on green finance indexes (solar, wind, and nuclear energy) and regional economic indexes (Baltic Dry Index and CRB Index), with data processed using the diagonal BEKK model. The results identify several dirty cryptocurrencies such as: Ethereum Cash (ETC), Litecoin (LTC), and Bitcoin (BIT) as potential diversifiers and hedges with specific green energy and economic indexes. Our findings show that news from the cryptocurrency markets predominantly have a positive, significant effect on the covariance with green finance indices. The study also presents the covolatility spillover effect, showcasing the impact of a return shock in one market, such as the cryptocurrency market or the green finance market, on the co-volatility between markets, including regional economic indices like the Baltic Dry Index and CRB Index. The analysis reveals differential spillover patterns between clean and dirty cryptocurrencies and various green finance indices, highlighting the complexity of their interactions and the varying degrees of influence on regional economic indicators.
This study aims to critically examine the compatibility of Bitcoin and blockchain technology with Islamic economic and legal principles within the context of a rapidly evolving digital financial system. Employing a literature review method based on the PRISMA approach, this research analyzes five authoritative classical Islamic jurisprudence texts alongside 40 scholarly articles from credible academic sources. The primary focus lies in evaluating how these emerging technologies correspond with key Islamic financial values, particularly the prohibitions of riba (interest), gharar (excessive uncertainty), and maysir (speculation/gambling), while also exploring their potential for innovation in building a Shariah-compliant financial infrastructure. The findings demonstrate that while Bitcoin, due to its high volatility and speculative nature, poses significant concerns under Shariah principles mainly due to its proximity to elements of maysir and gharar blockchain technology itself offers considerable promise. As a decentralized and transparent ledger system, blockchain can enhance justice (‘adl), trust (amanah), and efficiency in Islamic financial transactions. It supports the reduction of transaction costs, improves transparency, and eliminates reliance on intermediaries aligning with core objectives of Islamic economic ethics. Furthermore, blockchain technology provides a foundation for innovative financial instruments that uphold Shariah compliance, such as asset-backed stablecoins, automated smart contracts for contracts like murabahah or mudarabah, and real-time Shariah audits. The study finds increasing institutional support across Southeast Asia and the Middle East, where Islamic finance authorities, governments, and fintech developers are actively working to embed blockchain into compliant financial ecosystems. In conclusion, although Bitcoin's speculative characteristics challenge its Shariah compliance, blockchain technology opens significant opportunities to innovate and strengthen Islamic digital finance. The realization of this potential depends on sustained collaboration among Shariah scholars, technologists, regulators, and financial institutions to ensure all developments are guided by the objectives of maqasid al-shariah. This research contributes to the ongoing discourse on how Islamic values can shape the future of ethical and inclusive financial technologies.
This comprehensive article examines the transformative impact of cloud computing and artificial intelligence on regulatory compliance and risk management in the financial services sector. It explores how financial institutions are embracing cloud technologies to enhance operational capabilities while navigating an increasingly complex regulatory landscape. The article details how AI-driven solutions are reshaping compliance frameworks through advanced machine learning for fraud detection, natural language processing for regulatory analysis, and enhanced anti-money laundering systems. The article analyzes architectural considerations and implementation strategies for AI-powered compliance frameworks, supported by real-world case studies that demonstrate significant improvements in efficiency and effectiveness. Furthermore, the article investigates emerging technologies poised to further transform regulatory compliance, including federated learning, explainable AI, quantum computing, and solutions for decentralized finance. By examining both the opportunities and challenges of AI-driven compliance, this research provides valuable insights for financial institutions seeking to optimize regulatory compliance while maintaining operational efficiency in cloud environments.
Purpose The integration of blockchain technology and artificial intelligence (AI) is reshaping the financial services industry, offering transformative solutions in areas such as risk management, fraud detection, regulatory compliance and operational efficiency. Design/methodology/approach This paper presents a systematic literature review of over 100 peer-reviewed studies published between 2020 and 2024, analyzing the benefits, challenges and future directions of blockchain-AI applications in financial services. Our findings reveal that while blockchain enhances data integrity, security and transparency, AI drives predictive analytics, automation and decision-making efficiency. Findings The synergy of these technologies holds significant potential yet faces critical challenges related to scalability, interoperability, regulatory compliance and ethical AI governance. We identify key research gaps, including the lack of standardized regulatory frameworks, limited real-world case studies and technical barriers to integration. To address these gaps, we propose a comprehensive theoretical framework linking technological advancements to regulatory and ethical considerations. This study contributes to both academic discourse and industry practice, offering actionable insights for financial institutions, technology developers and policymakers navigating the rapidly evolving FinTech landscape. Research limitations/implications The rapidly evolving nature of blockchain and AI technologies may limit the long-term applicability of some findings. The study primarily focuses on published academic literature, potentially overlooking some industry-specific developments. Future research should address the identified gaps, particularly in cross-chain interoperability, ethical AI frameworks, and long-term economic impacts. Empirical studies and case analyses could further validate the theoretical insights presented in this review. Originality/value This study provides a novel, comprehensive synthesis of blockchain and AI applications in financial services, offering valuable insights for both academics and practitioners. By critically examining the synergies and challenges of these technologies, it presents a unique perspective on their transformative potential in FinTech. The proposed research agenda addresses crucial gaps in current knowledge, guiding future investigations. The findings contribute to a deeper understanding of the complex interplay between technological innovation, regulatory frameworks and ethical considerations in the evolving landscape of financial services.
This study investigates the impact of blockchain technology adoption on the financial performance of major Australian banks, specifically Commonwealth Bank, Westpac, and ANZ, from 2016 to 2023. Using a descriptive research design and secondary data from annual reports, financial performance was assessed through Return on Assets (ROA) and Return on Equity (ROE). The findings indicate a positive relationship between blockchain adoption and improved financial performance, suggesting gains in efficiency, cost management, and profitability. The study focuses on the Australian banking sector within its unique regulatory and market context. The originality of this research lies in its localized empirical approach, providing context-specific evidence of blockchain’s strategic contribution to financial performance in banking.
This study examines the role of crypto funds (CFs) in enhancing the valuation and performance of decentralized digital platforms (DDPs) by mitigating coordination frictions and information asymmetries. Drawing on panel data from 1,200 Ethereum-based projects and event-study evidence around CF investment disclosures, we find that CF-backed DDPs achieve significantly higher token valuations in the primary market, experience positive cumulative abnormal returns (CARs) around investment announcements, and outperform non-CF-backed peers’ post-issuance. The impact of CFs is stronger when they hold central positions in investor networks and when token ownership is more decentralized. Robustness checks using alternative dependent variables, subsample analyses, and interaction terms confirm the validity of the findings. These results highlight the importance of institutional capital not only in financing but also in signaling quality and enhancing governance in decentralized ecosystems. Policy implications include the need for standard CF disclosure practices, token distribution guidelines, and improved audit standards for smart contracts. The findings contribute to emerging debates on institutional legitimacy, valuation dynamics, and governance in the digital asset economy.
Hassen Louati, Ali Louati, Elham Kariri, Abdulla Almekhlafi
Blockchain technology has transformed modern digital ecosystems by enabling secure, transparent, and automated transactions through smart contracts. However, the increasing complexity of these contracts introduces significant challenges, including high computational costs, scalability limitations, and difficulties in detecting anomalous behavior. In this study, we propose an AI-based optimization framework that enhances the efficiency and security of blockchain smart contracts. The framework integrates Neural Architecture Search (NAS) to automatically design optimal Convolutional Neural Network (CNN) architectures tailored to blockchain data, enabling effective anomaly detection. To address the challenge of limited labeled data, transfer learning is employed to adapt pre-trained CNN models to smart contract patterns, improving model generalization and reducing training time. Furthermore, Model Compression techniques, including filter pruning and quantization, are applied to minimize the computational load, making the framework suitable for deployment in resource-constrained blockchain environments. Experimental results on Ethereum transaction datasets demonstrate that the proposed method achieves significant improvements in anomaly detection accuracy and computational efficiency compared to conventional approaches, offering a practical and scalable solution for smart contract monitoring and optimization.
ABSTRACT The introduction of digital money such as Bitcoin, and the underlying blockchain and distributed ledger technology, created huge interest. The developments have posed the possibility of major implications for the financial system and potentially the whole economy. This article tackles the topic of a central bank ought to issue digital money for widespread use. Defines a benchmark central bank digital currency with characteristics like cash.The implications of such a digital currency are analyzed, with particular attention to central bank title, monetary policy, the banking system, financial stability, and payment. This Study delivers a CBDC that is considerably different from the accepted digital currency is assessed. However, their successful incorporation requires careful consideration of a multitude of issues, not to mention rewarding and balancing risks, to establish firm foundations that minimize these risks and take advantage of CBDCs’ potential to drive a more equal and efficient financial system.
Decentralized Finance (DeFi) remains a complex domain, difficult for newcomers to grasp due to abstract mechanisms like liquidity pools, decentralized exchanges (DEXs), and asset swapping. This paper proposes Black Doge — a multichain digital asset — as a form of "digital stationery" for students to practically learn DeFi concepts. Black Doge, existing across multiple blockchain networks, can simulate real-world DeFi activities in a controlled educational environment. We explore the significance of this approach, its impact on student learning, future blockchain adoption, DEX usability, and broader blockchain ecosystem development.
In recent years, cryptocurrencies have attracted growing attention from both private investors and institutions. Among them, Bitcoin stands out for its impressive volatility and widespread influence. This paper explores the predictability of Bitcoin's price movements, drawing a parallel with traditional financial markets. We examine whether the cryptocurrency market operates under the efficient market hypothesis (EMH) or if inefficiencies still allow opportunities for arbitrage. Our methodology combines theoretical reviews, empirical analyses, machine learning approaches, and time series modeling to assess the extent to which Bitcoin's price can be predicted. We find that while, in general, the Bitcoin market tends toward efficiency, specific conditions, including information asymmetries and behavioral anomalies, occasionally create exploitable inefficiencies. However, these opportunities remain difficult to systematically identify and leverage. Our findings have implications for both investors and policymakers, particularly regarding the regulation of cryptocurrency brokers and derivatives markets.
Cross-border payments face persistent challenges in today's global economy, characterized by high costs, lengthy processing times, and operational inefficiencies within traditional correspondent banking models. The emergence of blockchain technology offers a transformative solution to these long-standing issues through its distributed ledger architecture, smart contracts, and innovative consensus mechanisms. By eliminating intermediaries and automating processes, blockchain implementation in cross-border payments demonstrates the potential to revolutionize international money transfers by reducing transaction times, lowering costs, and enhancing transparency. The technology's inherent features address critical pain points in current systems while providing robust security measures and improved auditability, particularly benefiting developing economies and regions with limited banking infrastructure.
Blockchain technology is being increasingly deployed to store and process transactions and information in the global financial sector. Blockchain underpins cryptocurrencies such as Bitcoin and facilitates decentralized finance (DeFi), representing a paradigm shift in the global financial landscape, offering alternative solutions to traditional banking, and fostering financial inclusion. In developing economies such as Morocco, where a significant portion of the population remains unbanked, these digital financial innovations present both opportunities and challenges. This study examines the potential role of cryptocurrencies and DeFi in enhancing financial inclusion in Morocco, where cryptocurrencies have been banned since 2017. However, the public continues to use cryptocurrencies, circumventing restrictions, and the Moroccan Central Bank is now preparing to introduce new regulations to legalize their use within the country. In this context, this article analyses the potential of cryptocurrencies to mitigate barriers such as high transaction costs, restricted access to financial services in rural areas, and limited financial literacy in the country. The study pursues a mixed-methods approach, which combines a quantitative survey with qualitative expert interviews and adapts the Unified Theory of Acceptance and Use of Technology (UTAUT) model to the Moroccan context. The findings reveal that while cryptocurrencies offer cost-efficient financial transactions and improved accessibility, their adoption may be constrained by regulatory uncertainty, security risks, and technological limitations. The novelty of the article thus lies in its focus on the key mechanisms that influence the adoption of cryptocurrencies and their potential impact in a specific national context. In so doing, the study highlights the need for a structured regulatory framework, investment in digital infrastructure, and targeted financial literacy initiatives to optimize the potential role of cryptocurrencies in progressing financial inclusion in Morocco. This underscores the need for integrated models and guidelines for policymakers, financial institutions, and technology providers to ensure the responsible introduction of cryptocurrencies in developing world environments.
With the rapid expansion of blockchain applications, smart contracts are becoming increasingly complex, making the automated detection of contract vulnerabilities more critical than ever. Large language models, due to their advanced code comprehensive ability, are considered to have the potential to undertake the task of automated software vulnerability discovery. Although there have been empirical studies on ChatGPT's automated discovery of contract vulnerabilities, the current empirical research has not addressed how well ChatGPT can detect logical vulnerabilities in smart contracts or whether ChatGPT's detection performance for logical vulnerabilities can be improved. To fill this gap, this study collected and organized seven types of logical vulnerability source codes from 6165 real smart contract audit reports and three datasets, such as Web3Bugs, and used this database to validate ChatGPT's detection capability for logical vulnerabilities. To improve ChatGPT's accuracy in detecting logical vulnerabilities, we fine-tuned ChatGPT with a dataset marked with a specific method, achieving an average accuracy rate of 95% for single vulnerability detection per training session. We improved the original marking method to increase further the number of vulnerabilities that a single model can detect. We used a specific completion marking format, ultimately enabling ChatGPT to detect various logical vulnerabilities. In terms of enhancing model scalability, we found a special training set marking method that allows for the addition of detectable vulnerability types through secondary training.
ABSTRACT This study employed both bibliometric analysis and a comprehensive review of the existing literature to examine 3844 publications in cryptocurrency research, which were collected from the Web of Science Core Collection Database. The study has utilized bibliometric methods to analyze the most productive countries and regions, research institutions, and authors in cryptocurrency research. Cluster analysis of co‐citation articles indicates three main themes in cryptocurrency research over the past decade: the efficiency of the cryptocurrency market, innovation, application, and governance of blockchain technology as well as risk management of cryptocurrencies. Keyword co‐occurrence analysis reveals three major future research directions regarding cryptocurrency: (1) using machine learning methods to forecast price returns of cryptocurrencies; (2) how to enhance the security, legitimacy, and environmental sustainability of cryptocurrencies; (3) further exploration of the impact of various unexpected events on the risks of cryptocurrencies under global instability. In the section of literature review, two to three representative papers from the five most‐cited authors in cryptocurrency research are summarized. Additionally, 28 of the most noteworthy papers, selected based on three different criteria, are presented. These papers cover different periods and research topics, and a brief yet comprehensive overview of these 28 influential papers is provided.
Purpose This study aims to analyse the academic literature on cryptocurrency regulation using a combined bibliometric and systematic literature review approach, focusing on research trends, influential contributions and thematic clusters from 2018 to 2024. Design/methodology/approach This study reviews 62 journal articles published between 2018 and 2024. A combined bibliometric and systematic literature review approach is used to analyse key articles, journals, authors and countries contributing to the field. Thematic clusters such as crowdfunding, FinTech, blockchain vulnerabilities, Central Bank Digital Currencies (CBDCs) and economic forecasting in developing countries are identified. Findings The analysis reveals emerging trends and significant advancements in cryptocurrency regulation, highlighting key contributors in the field. Thematic clusters show a focus on blockchain vulnerabilities, the rise of CBDCs, and regulatory challenges in developing economies. These themes represent the most pressing areas in cryptocurrency market regulation. Practical implications The findings offer insights for policymakers, researchers and industry practitioners to shape effective regulatory frameworks, addressing critical issues such as blockchain security and central bank digital currencies. Social implications This research contributes to the development of robust regulatory frameworks, promoting market stability and transparency, which will ultimately benefit global financial markets and stakeholders in the cryptocurrency ecosystem. Originality/value To the best of the authors’ knowledge, this study is the first to integrate bibliometric and systematic literature review methods to examine cryptocurrency regulation, providing a comprehensive overview of the research landscape.
Ângela Filipa Oliveira Gonçalves, Shafik Faruc Norali, Clemens Bechter
The paper investigates current and future pricing models in the European healthcare sector. European countries follow a universal healthcare system, whereas the United States rely on a mix of private insurers, government programmes, and private payments. It is becoming obvious that the European “free” healthcare systems are not sustainable in the long run. The authors propose a private Buy-Now-Pay-Later (BNPL) alternative. BNPL is common practice in retailing but highly unusual in healthcare. The authors suggest to enhancing BNPL further by adding AI and blockchain/crypto technology. However, there are three hurdles to overcome, namely, cryptocurrency volatility, regulatory uncertainty, and adoption barriers. Our field research investigated the acceptance barriers especially whether European medical service providers would accept cryptocurrency payments and the BNPL model in general. Our survey is based on 366 European medical service providers, mainly medical doctors. The results show that there is willingness to accept cryptocurrencies. As recommendation we outline how a fully integrated AI-powered BNPL model with cryptocurrency payments and smart contracts including BNPL Tokenisation in a decentralised financial market could work to the benefit of all stakeholders.
Abstract-Non-Fungible Tokens (NFTs) have emerged as a transformative force in the digital economy, offering creators a novel and decentralized way to monetize their work. Powered by blockchain technology, NFTs ensure transparency, traceability, and ownership of digital assets—ranging from art and music to virtual real estate. By eliminating the dependency on traditional intermediaries such as galleries and auction houses, NFTs empower artists to connect directly with global audiences through dedicated marketplaces. This project explores the core concepts of NFTs, their evolution, and their underlying architecture, including blockchain, smart contracts, token standards, and NFT marketplaces. The work process involves the detailed study of how NFTs are minted by uploading digital assets onto a blockchain-supported marketplace, registered through smart contracts, and then traded securely between users. The project also outlines key components such as tokenization, metadata storage, and transaction validation through cryptographic proofs. Through a comprehensive timeline, technical breakdown, and real-world use cases, the paper emphasizes the growing significance of NFTs in redefining digital ownership, while also evaluating their future impact on the Indian market and beyond. Keywords – NFT, Token, Blockchain, Market, Asset, Ethereum, Fungible.
The Engineering, Procurement, and Construction (EPC) industry faces significant financial management challenges due to the complexity of project financing, milestone-based payments, and multi-stakeholder collaboration. Traditional on-premise ERP financial systems are often inefficient, leading to delays in financial reporting, security vulnerabilities, and regulatory compliance difficulties. This study explores the development of cloud-based financial solutions tailored to the EPC industry, examining the benefits, challenges, and applicability of existing models such as Software as a Service (SaaS), Platform as a Service (PaaS), and Blockchain-based decentralized finance (DeFi). A Hybrid Cloud-Based Financial Framework is proposed, integrating SaaS for accounting, PaaS for customization, and Blockchain for secure transactions. Experimental validation demonstrates that cloud adoption reduces financial processing time by 87.5%, enhances cash flow visibility, improves security, and increases regulatory compliance efficiency by 40%. This paper highlights the importance of AI-driven predictive analytics, automated compliance, and hybrid cloud models in modern EPC finance and proposes strategies for overcoming integration challenges, cybersecurity risks, and workforce adoption barriers. Future research should focus on scaling hybrid cloud solutions globally and integrating AI-powered risk assessment tools.
Blockchain technology, the bedrock innovation in the digital economy, is steadily reengineering the operational logic of the traditional financial system. Harnessing its core attributes of decentralization, immutability, and transparency, it is making profound inroads. This paper undertakes an all-encompassing and systematic review of relevant literature from both domestic and international sources. It particularly focuses on the empowerment routes by which blockchain technology can fuel the reform of the traditional financial setup, thus furnishing theoretical support and practical blueprints for financial systemic revamp. Blockchain technology yields numerous advantages. It significantly boosts payment efficiency, slashes costs, and vigorously promotes financial inclusion. Moreover, it augments regulatory transparency and alleviates information asymmetry. However, several hurdles remain, such as scalability glitches, security threats, and regulatory compatibility issues. This research not only enriches the FinTech knowledge pool but also steers financial institutions in their digital transformation endeavors, enabling them to render more efficient and inclusive services. Going forward, future work should concentrate on technological innovation and regulatory adaptation to fully realize the potential of blockchain in the financial sector.
This article takes Company A as an example to focus on the optimization path of a decentralized financial sharing platform that integrates blockchain technology and big data. By analyzing the hierarchical architecture and core technologies of blockchain and combining them with the capabilities of big data in data integration, analysis, and risk prediction, the author proposes a smart contract design scheme for a financial sharing platform based on "blockchain + big data." The author studied and designed a solution including architecture reconstruction, security optimization, and process automation to address the centralized data security risks, information asymmetry, business process redundancy, and talent shortage issues of Company A's existing platform. Empirical results indicate that this solution effectively addresses the pain points of data silos, high trust costs, and inefficient processes in traditional financial sharing platforms, providing a balanced, secure, and intelligent technological path for the digital transformation of large enterprise finance. The blockchain technology itself has unique advantages: decentralization, trustlessness, and a unique distributed ledger form. These advantages can be used to optimize the architecture of financial sharing platforms, promote and apply them, thereby improving financial work efficiency and expanding enterprise economic benefits.