This study examines the role of blockchain-based smart contracts' influence on financial transparency and effectiveness in the economic activities of the emerging markets. In this study, the researchers utilised a mixed-method approach that includes a systematic literature review, comparative case studies from Africa, Southeast Asia, and Latin America, and expert interviews. The research findings evidence that the adoption of smart contracts can lower transaction costs, eliminate intermediary services, improve trust in financial systems, and serve as alternatives to the current financial systems. The results further demonstrate that smart contracts can improve financial inclusion through low-cost microfinance, insurance, and trade finance solutions, as well as enhance trust and transparency with immutable records and real-time auditing. Nevertheless, weaknesses in infrastructure, digital literacy, and regulatory uncertainty create difficulties for adoption. In addition, the study augments the existing prior research emphasising the impacts of financial technology innovation in emerging markets by offering findings that are beneficial to the market stakeholders including policymakers, financial services institutions, and technology innovators, by effectively positioning blockchain-based solutions implementation as better and viable option that can drive inclusive financial development in the emerging economies.
This article explores the application of financial technologies in the auditing of decentralized finance (DeFi) and how these technologies can improve the audit process. The research aims to identify the main challenges faced in DeFi auditing and to offer recommendations for strengthening audit methodologies using financial technologies (FinTech). The article discusses decentralized finance and its innovative management principles based on blockchain technology, which fundamentally transforms traditional financial systems. The study identifies key risks associated with DeFi, such as vulnerabilities in smart contracts and the lack of regulatory frameworks. The theoretical foundation includes a detailed analysis of the differences between traditional and decentralized finance, highlighting DeFi’s advantages – lower operational costs, greater accessibility, and transparency – while addressing regulatory and security challenges. The research methodology is based on scientific literature analysis and the classification of FinTech tools according to established criteria to evaluate the effectiveness of audit methods and their potential for improvement. The main findings show that FinTech tools, such as artificial intelligence (e.g., decision tree models) and blockchain technology, enhance the reliability and speed of DeFi audits while highlighting the need for a more robust regulatory system. This article is relevant due to the rapid growth of the DeFi sector and its importance in the digital transformation of the financial industry. Moreover, this research aims to classify the most widely used financial technology tools according to their functions and analyze their impact on traditional and decentralized finance auditing processes, offering insights for improving audit methodologies.
This study employs a theoretical, system design–based methodology to propose the Palm GreenChain framework—a blockchain-based platform aimed at enhancing traceability, transparency, financial coverage, and accountability in green bond financing for sustainable palm oil production in Malaysia. The methodology integrates Ethereum-compatible smart contracts, ESG oracles, IPFS-based data storage, and DAO (Decentralized Autonomous Organization) governance to structure a digital green bond lifecycle. Rather than relying on empirical data collection, the framework is conceptualized through the development of a multi-layered blockchain architecture and validated via comparative analysis with analogous blockchain applications in agriculture. The proposed system is designed to enable real-time traceability of green bond disbursements, automate ESG compliance verification using satellite and IoT data, and strengthen accountability and access to climate finance for smallholder farmers. By embedding performance-based returns within smart contracts, the model aligns financial incentives with conservation goals. Leveraging Malaysia’s advanced land administration infrastructure and digital capabilities, the framework presents a scalable, open-source solution to reduce greenwashing, expand financial inclusion in underserved agricultural communities, and enhance transparency and investor confidence in sustainable agricultural finance. By directly linking green finance to verifiable sustainability outcomes, Palm GreenChain addresses key limitations in conventional green bond mechanisms. Its applicability across diverse agricultural sectors positions it as a replicable blueprint for broader sustainable development. The framework is openly available via its GitHub repository.
The rapid expansion of digital assets has created a conflict between technological innovation and environmental, social, and governance (ESG) principles, particularly concerning the energy consumption of legacy consensus mechanisms. This has led to the emergence of "sustainable" cryptocurrencies, raising the critical question of whether the market financially rewards sustainability. This study quantitatively investigates the existence and magnitude of an "ESG premium" in the digital asset market. A quasi-longitudinal study was conducted on a panel dataset of 20 cryptocurrencies (10 sustainable, 10 traditional) from January 1, 2021, to December 31, 2024. A detailed, transparent composite ESG score was developed to measure sustainability. The primary analysis utilized a panel data fixed-effects regression model to assess the relationship between asset prices and ESG scores, controlling for market capitalization, trading volume, market-wide indices, and key technological factors like protocol age, scalability, and developer activity. To address endogeneity and validate causality, we employed models with lagged independent variables. Further robustness checks were performed across bull and bear market sub-periods. A GARCH (1,1) model was used to analyze differences in price volatility. The primary regression model reveals a statistically and economically significant positive relationship between ESG scores and cryptocurrency prices. A 10-point increase in the ESG score is associated with a 4.1% price premium (b=0.0041, p < 0.001), even after controlling for technological modernity. This finding remains robust in models using lagged variables and across different market cycles. GARCH analysis confirms that sustainable cryptocurrencies exhibit significantly lower price volatility. In conclusion, the findings provide strong, robust empirical evidence for a persistent ESG premium in the cryptocurrency market. This suggests that investors price in the perceived long-term viability, reduced risk profile, and ethical alignment of sustainable assets, signaling a maturation of the market where non-financial, sustainability-focused metrics are integral to asset valuation.
Smart contract adalah program yang dapat memastikan bahwa aturan atau perjanjian di jaringan basis data terdistribusi berlaku untuk transaksi yang terjadi. Penelitian ini adalah penelitian hukum yuridis normatif dengan sifat penelitian deskriptif. Teknik pengumpulan data dilakukan melalui studi kepustakaan. Analisis dalam penelitian ini dilakukan secara kualitiatif. Berdasarkan hasil penelitian ditemukan bahwa pengaturan mengenai smart contract di Indonesia belum diatur secara jelas dalam suatu regulasi. Smart contract dapat diterapkan di Indonesia asalkan sesuai dengan hukum dan tidak melanggar norma-norma sosial. Keabsahan hukum atas kehadiran smart contract dikaitkan dengan transaksi elektronik memerlukan kerangka hukum yang jelas dan dukungan dari berbagai pihak, sebab regulasi mengenai smart contract di Indonesia masih belum sepenuhnya terdefinisi. Sehingga kepastian hukum terhadap keabsahan hukum atas kehadiran smart contract belum dapat diwujudnya sepenuhnya, dikarenakan sandungan dalam regulasi yang belum jelas. Implementasi smart contract pada teknologi blockchain dalam kaitannya dengan praktik Notaris sebagai pejabat umum tidak dapat sepenuhnya menghapuskan peran Notaris selaku pejabat umum yang diberikan wewenang oleh ketentuan UUJN.
This paper investigates the dual impact of Decentralized Finance (DeFi) and smart contracts on European Union (EU) market stability, with a focus on the role of regulation. The research problem centers on understanding how the rapid growth of DeFi interacts with emerging regulatory frameworks to shape financial stability. The purpose is to provide an integrated analysis that combines quantitative data with qualitative legal insights to inform policy. The methodology employs a fixed-effects panel data model to analyze the effect of DeFi market capitalization, smart contract deployments, and transaction volumes on a market stability index across EU member states, while also incorporating a qualitative review of the EU’s regulatory landscape, including the Markets in Crypto-Assets (MiCA) Regulation [1]. Key findings indicate that while DeFi’s growth correlates with increased market volatility, regulatory interventions like MiCA appear to have a stabilizing effect. The paper concludes that a clear and harmonized regulatory framework is crucial for mitigating the risks associated with DeFi while fostering responsible innovation. The relevance of this study lies in its timely contribution to the ongoing policy debate on DeFi regulation and its implications for financial stability in the EU [2].
Марат Рашитович Сафиуллин, Leonid Alekseevich Elshin, Yaroslav Kuznetsov
Objective: This study seeks to substantiate the prospects for using blockchain technologies as a mechanism to attract Islamic finance to the Russian regions, with the dual aim of mitigating sanctions-related restrictions and fostering integration into global Islamic financial ecosystems. Methodology/Approach: The research employs econometric and systems analysis to assess the macroeconomic externalities of blockchain-driven Islamic finance inflows. A methodological toolkit was developed and tested to estimate potential market capacity, using data from four Russian regions (Tatarstan, Bashkortostan, Chechnya, Dagestan) through 2030. The approach incorporates substitution modeling of lost Western capital, scenario analysis, and the application of blockchain-based financial gateways. Originality/Relevance: The originality of this work lies in linking two underexplored areas—Islamic finance and blockchain technologies—in the context of Russia’s geoeconomic reorientation toward Asia and the Global South. The study provides an innovative framework for replacing Western capital flows with investments from Islamic finance markets through decentralized fintech solutions. Main Conclusion: Findings demonstrate that the use of blockchain-based financial mechanisms can significantly expand the capacity of Russian regions to attract Islamic finance. Tatarstan and Bashkortostan show the highest potential, while Chechnya and Dagestan present smaller but strategically relevant capacities. Blockchain solutions are positioned as a breakthrough tool for overcoming international financial isolation and enabling long-term convergence with Islamic digital ecosystems. Theoretical/Methodological Contribution: The study advances the methodological basis for assessing fintech’s role in regional investment attraction by introducing a quantitative model that integrates substitution coefficients, market capitalization ratios, and penetration indices. It enriches the theoretical discourse on blockchain’s economic externalities and provides policymakers and practitioners with actionable instruments for embedding Islamic finance within regional development strategies.
Smart contracts—auto-executing digital agreements built on DLT (Distributed Ledger Technology), an emerging technology of blockchain—are revolutionizing cross-border payments by enhancing efficiency and automation. However, their widespread adoption is hindered by a fragmented regulatory landscape and legal uncertainties across jurisdictions. Therefore, to promote the urgency of regulatory governance of smart contract, this research advocates for the techno-legal standardization of smart contracts to ensure regulatory compliance in international financial transactions. It investigates how smart contracts can be designed to meet diverse legal requirements while maintaining technical adaptability, scalability, and interoperability. Drawing on interdisciplinary literature and qualitative methods—including expert interviews, surveys, and case studies—the study aims to develop a framework that balances innovation with legal certainty. Key challenges addressed include jurisdictional fragmentation, enforcement mechanisms, integration with legacy systems like SWIFT, and compliance with KYC/AML regulations. The research also examines emerging solutions such as decentralized identity frameworks, trusted oracles, and hybrid on-chain/off-chain models. By bridging the gap between law, technology, and finance, this study offers actionable insights for policymakers, financial institutions, blockchain developers, and international businesses. Ultimately, it contributes to the development of a standardized smart contract ecosystem that supports secure, efficient, and legally compliant cross-border payments.
Smart contracts are central to blockchain ecosystems, yet their development remains technically demanding, error-prone, and tied to platform-specific programming languages. This paper introduces SCEditor-Web, a web-based modeling environment that combines model-driven engineering (MDE) with generative artificial intelligence (Gen-AI) to simplify contract design and code generation. Developers specify the structural and behavioral aspects of smart contracts through a domain-specific visual language grounded in a formal metamodel. The resulting contract model is exported as structured JSON and transformed into executable, platform-specific code using large language models (LLMs) guided by a tailored prompt engineering process. A prototype implementation was evaluated on Solidity contracts as a proof of concept, using representative use cases. Experiments with state-of-the-art LLMs assessed the generated contracts for compilability, semantic alignment with the contract model, and overall code quality. Results indicate that the visual-to-code workflow reduces manual effort, mitigates common programming errors, and supports developers with varying levels of expertise. The contributions include an abstract smart contract metamodel, a structured prompt generation pipeline, and a web-based platform that bridges high-level modeling with practical multi-language code synthesis. Together, these elements advance the integration of MDE and LLMs, demonstrating a step toward more accessible and reliable smart contract engineering.
The rapid advancement of blockchain technology has precipitated the widespread adoption of Ethereum and smart contracts across a variety of sectors. However, this has also given rise to numerous fraudulent activities, with many speculators embedding Ponzi schemes within smart contracts, resulting in significant financial losses for investors. Currently, there is a lack of effective methods for identifying and analyzing such new types of fraudulent activities. This paper categorizes these scams into four structural types and explores the intrinsic characteristics of Ponzi scheme contract source code from a program analysis perspective. The Mythril tool is employed to conduct static and dynamic analyses of representative cases, thereby revealing their vulnerabilities and operational mechanisms. Furthermore, this paper employs shell scripts and command patterns to conduct batch detection of open-source smart contract code, thereby unveiling the common characteristics of Ponzi scheme smart contracts.
Blockchain technology has become one of the most disruptive innovations of the 21st century, reshaping industries such as finance, supply chain management, healthcare, and governance. However, the conventional blockchain ecosystem—particularly models based on Proof of Work (PoW)—has been widely criticized for its excessive energy consumption and ecological footprint. As societies move toward sustainability and carbon-neutral goals, the exploration of energy-efficient blockchain models becomes not just an academic pursuit but also an ethical imperative. This manuscript investigates the evolution of energy-efficient consensus mechanisms and their integration into “green smart contracts,” which enable automated, verifiable, and sustainable digital agreements. It highlights consensus algorithms such as Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Proof of Authority (PoA), Proof of Space-Time (PoST), Practical Byzantine Fault Tolerance (PBFT), and emerging hybrid mechanisms. The manuscript offers a comprehensive literature review, outlines statistical insights comparing energy and performance trade-offs, and proposes methodologies for integrating eco-friendly smart contract architectures. The results emphasize that while PoW-based systems consume up to 99% more energy than PoS-based models, hybrid approaches demonstrate a promising balance between security, decentralization, and efficiency. The study concludes that energy-efficient blockchain models, when strategically aligned with sustainability frameworks, can redefine smart contract ecosystems to meet global climate commitments while maintaining reliability, transparency, and scalability.
Khaleel Radhi Hasan Alzlzly, Basim Abdullah Kadhim, Rahim Raad Hameed, Hussein Basim Furaij
"The objective of this study is to analyze the impact of real-time public procurement disclosure through distributed ledger technology (DLT) on reducing the cost of bank financing for public projects in Iraq The importance of this research stems from the growing need to increase financial transparency and reduce information asymmetry between government entities and the banking sector, thereby reducing credit risk and funding a descriptive research." methodology such as An applied field design combining quantitative and qualitative approaches is supported. Data were collected through a structured questionnaire from a sample of 165 senior and middle managers from three major Iraqi banks (Al-Rafidin, Al-Rashid and Trade Bank of Iraq) that finance public projects. Used multiple linear regression and F/T tests to validate the study hypotheses. Had gone The findings show that real-time disclosure via DLT significantly reduces funding costs (α ≤ 0.05) by improving transparency and shortening contract verification cycles. Furthermore the availability of immutable, time-stamped purchasing data increased banks' trust in public agencies The study recommends that Iraq's Ministry of Finance and public procurement authorities improve the security of digital data and government and adopts a pilot DLT-based tender and contract management system with a legal framework to integrate banking platforms
Alex Brockbank, Charlene M. Kalenkoski, Christopher R. Browning, Michael Guillemette
Do financial advisors recommend cryptocurrency investment within a household portfolio? Cryptocurrencies have emerged in popularity as households seek to maximize returns. Financial advisors are expected to provide beneficial advice for a household in managing financial decisions including investments. The existing literature has examined this relatively new form of investing and found some determinants for cryptocurrency investment but has not sufficiently explored the association between this investment option and the investor’s use of a financial advisor. With data from the 2018 wave of the National Financial Capabilities Study (NFCS), this paper examines the relationship between cryptocurrency investment and the use of a financial advisor for American investors. The results suggest that investors who use a financial advisor are more likely to be invested in cryptocurrencies. Additional determinants seen in previous works are also confirmed in the current study; showing that men, younger investors, married investors, and investors with a higher tolerance for risk are more likely to have cryptocurrency investments.
This paper examines the paradoxical (post-)growth trajectory of Bitcoin, the first ‘cryptocurrency’, as a case of infrastructural change in digital finance. Bitcoin's founding phase revolved around the principles of self-governance and self-limitation, which combined to create a commitment to degrowing the financial system and limiting monetary production to impede accumulation. Yet growth logics soon began to unfold after Bitcoin's creation in 2009. How and why did that shift occur, and with what implications? We rely on white papers and outputs of alt-coin founders to trace the socio-technical relations underpinning the emergence and expansion of ‘alt-infrastructures’ oriented around growth. We demonstrate how what was originally designed as a post-growth infrastructure largely, albeit not fully, succumbed to conventional growth dynamics over a fairly short period.
This study aims to examine the development of research on the topic of “Islamic Smart Contracts” and potential research plans based on journals published on this theme. This research uses a qualitative method with a bibliometric analysis approach. The data used is secondary data on the theme “Islamic Smart Contract” from the Scopus database, with a total of 74 journal articles. The data was then processed and analyzed using the VosViewer application to map the bibliometric development of “Islamic Smart Contract” research worldwide. The results of the study found 5 clusters with the most frequently used words being smart contract, technology, blockchain, contract, transaction, fintech, blockchain technology, and islamic finance. Then, the research path topics related to Islamic Smart Contracts are Blockchain for Islamic Finance, Fintech in the Islamic Finance Industry, Smart Contracts and Cryptocurrency in Islamic Finance, Smart Contract in Sukuk and Waqf, and Islamic Smart Contracts in Banking.
Abstract The role of central banks in advancing sustainable (“green”) digital finance is becoming increasingly significant, positioning them as both facilitators and key actors. This chapter begins by examining how climate-related financial risks may require adjustments to the operational frameworks of central bank policy tools, and highlights recent initiatives undertaken by central banks in response. It then reviews specific cases of sustainable digital finance in the central banking context, including: (1) the BIS’s Project Genesis, which integrates the green bond market and carbon markets through digital technologies; and (2) the collaboration between the Bank of Korea (BOK) and the Korea Exchange (KRX) to explore the application of distributed ledger technology and central bank digital currency (CBDC) in carbon trading.
Abstract Emerging digital financial technology has already had a significant impact on financial development and holds significant potential to advance the sustainable finance agenda. Various challenges limit the assessment of environmental risks, as well as the mobilisation of sustainable finance. Digital technology (including artificial intelligence, distributed ledger technologies, cloud computing, the Internet of Things and big data) can help address the risk identification and mobilisation challenges and can at the same time help promote financial inclusion and energy justice. This chapter highlights the potential of digital solutions and presents six proposals to enhance digital technologies to mobilise capital, assess environmental risks and enhance financial inclusion.
As cryptocurrencies began with the launch of Bitcoin in 2009, a technological and financial revolution has created a fundamental menace to worldwide banking infrastructure by its presence. The article is a thorough exposition of the increasing use of cryptocurrencies and its compounding implications to the conventional banking systems. We mention the principles of decentralized finance (DeFi) which explicitly challenge the role between banks, payments, and settlements, lending, and borrowing, and even, the custody of assets. This paper adopts a conceptual and comparative analysis research design to consolidate a number of general layers of scholarly articles, industrial reports and regulation books to develop an overall structure against which to understand this dynamic relationship in a holistic manner. It is analyzed by means of the two-sided impact that semi-protects the traditional bank axiom on one hand, the cryptocurrencies and the DeFi systems are actively disintermediating the traditional banking operations which made delivery of cross-border remittances, P2P lending protocols, and self-custody opportunities faster, cheaper, and more convenient. This is putting competitive pressure on the existing institutions threatening the existence of fee based revenue systems and customer relations. One other, but equally, is that the boarding cryptocurrencies over technological resolutions, namely blockchain and distributed ledger technology (DLT), is borrowed even by the banking sector itself. Banks are learning about DLT to automatize their back-office business, create new digital assets, and the crypto threat establishes their stance through two forms Central Bank Digital Currency (CBDCs) and regulated stablecoins. The implication of this change is evaluated critically depending on the discussion of the potential increase of financial inclusion and financial efficiency in addition to the high level of security risks and the great uncertainty of regulation and the threat of volatility, systemic financial stability. The conclusion of this paper is that crash belongs more to cryptocurrency than to its replacement, and the old banking structures will have to make use of it to be creative, and develop a new value proposal in a more and more decentralized financial system. The future has been defined as requiring a hybrid solution of centralization and decentralization of systems in which they would co exist, compete, and converge.
Blockchain technology has emerged as a transformative force across various industries by providing a decentralized, transparent, and secure digital infrastructure. Central to this transformation are smart contracts, which are self-executing agreements that autonomously enforce and execute contractual terms without the need for intermediaries. While smart contracts offer significant advantages in terms of efficiency and security, their inherent rigidity and limited adaptability pose challenges in dynamic and complex environments. This situation prompts the critical question: How Far Should We Go from Smart Contracts to Smarter Contractors? Driven by the necessity to overcome these limitations, this systematic review investigates the evolution of smart contracts into smarter contractors through the integration of artificial intelligence (AI) and machine learning (ML) technologies. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, an extensive literature search was performed across multiple academic databases, identifying and analyzing 276 relevant studies published between 2015 and 2024. The analysis, structured around six key research questions, reveals that the incorporation of AI and ML has significantly enhanced the functionality, security, and adaptability of smart contracts throughout their lifecycle. These enhancements include automated code generation, formal verification, real-time monitoring, and adaptive management. Despite these advancements, persistent challenges such as scalability, interoperability, data privacy, and computational overhead continue to hinder the full realization of smarter contractors. Additionally, the advent of Large Language Models (LLMs) has further expanded the capabilities of smart contracts, enabling more sophisticated code generation, vulnerability detection, and intelligent auditing. This review underscores the pivotal role of AI and ML in addressing the limitations of traditional smart contracts, highlighting their transformative impact on the broader blockchain ecosystem and facilitating the development of more advanced and intelligent decentralized applications. Finally, we propose future research directions that emphasize the necessity for standardized frameworks, enhanced interoperability protocols, and robust security measures to support the ongoing advancement of intelligent smart contracts.
Luigi Coppolino, Giovanni Maria Cristiano, Salvatore D’Antonio, Jonah Giglio · 6 authors
Ensuring the reliability and accuracy of information is a critical challenge in sectors like finance, media, and health. The reliance on centralized verification systems introduces risks of bias, manipulation, and limited transparency. To address these issues, we propose VeriNet , a decentralized framework for third-party content verification leveraging blockchain technology and the Ethereum Attestation Service. VeriNet integrates on-chain and off-chain attestations to ensure privacy, transparency, and accountability, supported by a Decentralized Data Warehouse and cryptographic Proof-of-SQL mechanisms. The framework includes Contributors , who submit content, and Verifiers , who assess its authenticity. We carried out two Proof-of-Concept implementations, namely in deepfake detection and fintech credit scoring, to demonstrate the efficiency of VeriNet and its adaptability to diverse domains. Moreover, we conducted an experimental evaluation focusing on various parameters, such as costs and execution time, to demonstrate framework feasibility, scalability, and potential to establish a trusted ecosystem for collaborative verification.
Abstract Increased and sustained access to the formal financial system enables communities to better meet their basic needs, prepare for and respond to unexpected shocks, and achieve broader economic growth. Yet many emerging economies like those across Latin America continue to face barriers that prevent individuals, households, and businesses from accessing the formal financial system. Financial inclusion efforts that leverage technological innovation are well suited to address some of them. Specifically, fintech products built on blockchains offer new ways to access financial services by creating pathways that do not rely on traditional infrastructure. Blockchain-based services offer easier financial access, innovative credit opportunities, and capital formation in a decentralized financial environment. While blockchain and DeFi are still in their early stages, these services have the potential to close some persistent gaps that stand in the way of more inclusive Latin American economies.
1. Introduction and ObjectiveInformation asymmetry has long been recognized as a critical challenge within financial markets, where unequal access to information between contracting parties can lead to inefficient outcomes. In the context of Islamic finance, this issue manifests most prominently through adverse selection and moral hazard, both of which are substantially intensified in profit-and-loss sharing arrangements. Participatory contracts such as Mushārakah and Muḍārabah rely on mutual trust, transparency, and aligned incentives. However, empirical evidence from Islamic banking practice—particularly in Iran—shows that actual utilization of these contracts remains limited. Banks frequently avoid participatory financing and shift toward fixed-return modes (such as Murābaḥah), mainly due to the heightened risk of borrower default arising from information asymmetry, insufficient visibility into business operations, and difficulties in monitoring managerial behavior. Within this environment, adverse selection emerges before contract formation when the bank cannot accurately distinguish between high-quality and low-quality project proposals or entrepreneurs. This may result in the unintended approval of risky proposals, thereby elevating the likelihood of non-performing financing. The problem is further accentuated by limitations in credit assessment processes, inadequate transparency in project data, and disparity in profit expectations and execution approaches between banks and entrepreneurs. Recent advances in decentralized technologies—particularly Web3 architectures incorporating blockchain, decentralized identity frameworks, distributed ledgers, and programmable smart contracts—provide new opportunities to address these long-standing informational and contractual challenges. Web3 offers a structural shift from centralized information control to transparent and verifiable records shared within a network of stakeholders. Such transparency can diminish information asymmetry, reduce opportunities for misrepresentation, automate contract enforcement, and improve the reliability of credit histories. The primary objective of this research is to assess the feasibility of reducing default risk caused by adverse selection in Islamic participatory contracts through the application of Web3 technology. The study aims to: (1) Identify the core factors that generate adverse selection in participatory financing, (2) Evaluate the strength and direction of their influence on default risk, and (3) Analyze how Web3 mechanisms can mitigate these factors and enhance the practical viability of participatory contracts in Islamic banking systems.2. Methods and MaterialsThis research adopts a mixed-methods exploratory–confirmatory design. Owing to the complexity and conceptual novelty of integrating Web3 systems with Islamic financial contracts, the study began with a qualitative phase followed by quantitative model testing. Qualitative Phase: Delphi MethodThe qualitative stage employed a three-round Delphi process to identify and validate the principal determinants of adverse selection in participatory financing. The expert panel comprised university scholars in Islamic economics, senior managers of credit and risk departments in Iranian banks, and professional consultants in Islamic financial technology. The first round used open-ended questionnaires to collect diverse expert insights, resulting in an initial list of thirteen candidate factors. In the second round, a structured Likert-scale survey assessed the significance of the proposed factors. Consensus criteria were set at mean ≥ 3.5 and standard deviation ≤ 1, consistent with established Delphi methodology. In the final round, experts confirmed the final factor set, which consolidated into three primary constructs: (1) Lack of transparency in customer information, (2) Insufficient evaluation of the entrepreneur’s technical competence, and (3) Misalignment of objectives between financing partners. These validated constructs provided the basis for the structural model.Quantitative Phase: PLS-SEM AnalysisIn the second phase, a structured questionnaire was administered to 289 participants representing the same expert categories. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. PLS-SEM was chosen due to:- The predictive and exploratory nature of the research,- The inclusion of higher-order and formative construct, and- Potential non-normality in expert response distributions. Model evaluation followed established metrics, including reliability (Cronbach’s alpha and composite reliability), convergent validity (AVE), discriminant validity, and structural path significance (t-statistics and p-values). Multi-collinearity was assessed using VIF values, all of which were below the acceptable threshold. Confidence levels were set at 95% with corresponding significance thresholds of p < 0.05.3. Research FindingsThe results of the structural model confirm that adverse selection exerts a direct and significant positive effect on default risk in participatory contracts (β = 0.299, p < 0.01). The components of adverse selection are strongly driven by:- Lack of transparency in customer information (β = 0.932, p < 0.001),- Misalignment of objectives between partners (β = 0.887, p < 0.001), and- Insufficient assessment of entrepreneurial competence (β = 0.885, p < 0.001). This highlights that default risk in participatory financing is not merely a result of financial capacity constraints, but is deeply rooted in information imbalances and strategic behavior at the contract initiation stage. The model further demonstrates that Web3 technologies have a significant mitigating influence. The path coefficient for Web3’s direct effect on reducing default risk is negative and statistically meaningful (β = −0.214, p < 0.01). Additionally, Web3 reduces the negative effects of adverse selection and information asymmetry, as shown by reversed and weakened path effects in the Web3-enhanced environment. Key Web3 mechanisms enabling this outcome include:- Real-time transparency and immutable information records,- Smart contracts that automate profit-sharing and enforce commitments,- Decentralized digital identity (DID) systems that support reliable, tamper-proof credit histories,- Tokenization of collateral and tangible/ intangible assets, enabling verifiable and liquid security guarantees,- Reduced monitoring and enforcement costs due to auditability of on-chain transactions. 4. Discussion and ConclusionThe findings of this research indicate that the primary barrier to effective participatory financing in Islamic banking is not merely structural or regulatory, but fundamentally informational. Adverse selection emerges where transparency, competence assessment, and goal alignment are weak. Conventional mechanisms—such as collateralization and post-contract supervisory audits—provide only partial and reactive mitigation. In contrast, Web3 offers a proactive and systemic solution by embedding transparency, verifiability, and automated compliance directly into the contract infrastructure. By shifting the reliance from personal trust to systemic trust, Web3 supports the original normative philosophy of Islamic finance: equitable profit-and-loss sharing, partnership-based financing, and ethical allocation of capital. From a policy perspective, adopting Web3 frameworks may substantially increase the feasibility and attractiveness of participatory financing modes for Islamic banks that currently avoid them due to high default exposure. This study contributes to the academic discourse on risk management in Islamic finance by demonstrating a structural linkage between information theory, contract design, and emerging decentralized technological capabilities. Practically, the research proposes a hybrid risk-management strategy, integrating traditional credit evaluation frameworks with Web3-based transparency, identity assurance, and automated enforcement. Future work should examine regulatory, Shariah governance, cybersecurity considerations, and interoperability standards needed to implement Web3-based participatory financing systems at scale. Nonetheless, the present results indicate that intelligent and compliant adoption of Web3 can significantly reduce default risk and enable the revival of participatory financing models in Islamic banking.
Ruben M Nayve Jr, Ferdinand Timbang, Mark Anthony Pelegrin
This study investigates the role of network effects in shaping economic value creation within cryptocurrency ecosystems. While cryptocurrencies have evolved from speculative assets into complex digital platforms that facilitate transactions, decentralized finance, and governance, their economic sustainability is fundamentally driven by the dynamics of user adoption and interconnectivity. Drawing upon theories of network externalities and digital platform economics, this research employs a mixed-methods approach that integrates quantitative econometric modeling with qualitative analysis of policy and industry practices. Quantitative data, including market capitalization, transaction volume, wallet addresses, and hash rate, are analyzed to measure the correlation between network growth and value creation. Complementary qualitative insights are derived from literature reviews and expert interviews to contextualize the findings within broader regulatory and technological frameworks. The results reveal that network size and user activity exert significant positive effects on value creation, with evidence of nonlinear threshold dynamics: once a critical mass of adoption is reached, economic value accelerates disproportionately. Comparative analysis across major ecosystems such as Bitcoin and Ethereum highlights differences in how network effects interact with technological innovation and governance structures. The findings contribute to advancing theoretical understanding of digital network economies and provide practical insights for stakeholders, including developers, investors, and policymakers. By identifying both opportunities and risks, particularly regarding volatility and regulatory challenges, this study offers a comprehensive framework for evaluating the long-term sustainability of cryptocurrency ecosystems.