With the introduction of blockchain technology and the emergence of non-fungible tokens (NFTs), users can prove ownership of digital content by cryptographically tokenizing the content they create, and it becomes possible to trade digital content. As user-generated digital content is frequently traded online, many scholars have analyzed the factors of user transactions, but there is a limitation that they have not been able to analyze the direct relationship between the sentiments of users and price. Therefore, this study uses multi-layer perceptron so as to analyze the factors that affect the price of profile picture (PFP) NFTs by using not only collectable market indicators and technical indicators but also sentiment indicators. As a result, it was found that PFP NFTs are closely correlated with various indicators, and a model was developed to accurately predict the price fluctuations of PFP NFTs using these indicators. The empirical results demonstrate that the proposed MLP model achieved prediction accuracies of 81.49% for BAYC and 93.39% for Cryptopunks. Furthermore, stock indices were found to exert a positive influence on NFT prices, whereas increases in cryptocurrency values, interest rates, and discussion volume acted as negative determinants. By contrast, the interaction of positive and objective sentiment contributed positively to price formation.
Decentralized Finance (DeFi) has been identified as an emerging technology for a transformative force in financial intermediation, introducing a trustless, programmable, and inclusive financial ecosystem. This paper identifies, show, and explores the integration of DeFi into traditional finance, focusing on how DeFi platforms are redefining financial intermediation and incorporates not only the financial perspective but also an IT-systems perspective, detailing architectures, data structures, and integration frameworks that enable collaboration between DeFi platforms and traditional financial institutions. The research identifies the limitations of current financial systems, evaluates the technical and regulatory challenges of integration, and highlights how DeFi innovations can increase efficiency, transparency, and inclusivity. Key components of this integration, such as smart contracts, decentralized lending, and interoperable frameworks, are analyzed along with their potential to overcome limitations in traditional finance. The paper concludes with recommendations for a mutually beneficial model combining DeFi and traditional finance to create a robust, secure, and inclusive global financial ecosystem.
We examine how wrapped tokens – tokenized representations of assets on other block/chains – contribute to cryptocurrency price discovery. Based on high-frequency data for Wrapped Bitcoin (wBTC), our results indicate that wBTC accounts for about 10% of the total price discovery of Bitcoin as measured by information shares. We show that wBTC’s contribution to price discovery is positively related to wBTC liquidity and trading volume as well as to important measures of decentralized finance activity. Our results have significant implications for the relationships between crypto-assets on different platforms as well as for systemic risk in the crypto-ecosystem. • Wrapped Bitcoin (wBTC) is a tokenized form of Bitcoin on other blockchains. • wBTC contributes significantly to Bitcoin price discovery. • Price discovery rises with liquidity and trading volume. • wBTC’s price discovery share increases with decentralized finance activity. • Decentralized finance plays an important role in Bitcoin pricing.
This study analyzes how blockchain technology can be interpreted through an economic perspective, viewing network nodes as rational agents whose strategic behavior affects the efficiency and sustainability of decentralized systems. Using a multi-player non-cooperative game with complete but imperfect information, we model validators’ decisions in voting-based consensus mechanisms and compare alternative incentive configurations through simulation results. The analysis shows how variations in reward schemes influence validators’ behavior and consensus reliability. Extending the framework to Decentralized Autonomous Organizations (DAOs), the study explores how blockchain-based incentives can enhance participation, accountability, and decentralized governance. The findings highlight that incentive design plays a decisive role in aligning individual motivations with collective goals, ensuring both network integrity and long-term sustainability. Overall, this study connects economic theory with blockchain governance, extending its relevance to business and organizational contexts beyond cryptocurrencies.
This paper investigates how the evolution of interbank payments towards central bank settlement, and thus central bank money as a settlement asset, has affected the dynamics of bank crises.We take the cluster of bank defaults in the United States in 2023 as a starting example and show how, alongside fractional reserves and fast digital communication, centralized settlement in central bank money played a critical role in triggering swift bank failures.We argue that technical centralization has amplified banks' fragility in the development of confidence crises, making bank runs easier and expanding the role of central banks to a point where conflict of interest becomes nearly inevitable.While previous literature has emphasized the effects of fast news spread and online banking, the role of settlement technology in recent bank runs has been largely overlooked.Thus we describe the stability consequences of different settlement architectures in detail, and also discuss potential improvements to the current architecture, particularly decentralized approaches built on distributed ledgers, to mitigate financial instability and reduce the negative effects of centralization without reverting to inefficient legacy systems.
Decentralized storage is one of the most natural applications built on blockchains and a central component of the Web3 ecosystem. Yet despite a decade of active development -- from IPFS and Filecoin to more recent entrants -- most of these storage protocols have received limited formal analysis of their incentive properties. Claims of incentive compatibility are sometimes made, but rarely proven. This gap matters: without well-designed incentives, a system may distribute storage but fail to truly decentralize it. We analyze Shelby -- a storage network protocol recently proposed by Aptos Labs and Jump Crypto -- and provide the first formal proof of its incentive properties. Our game-theoretic model shows that while off-chain audits alone collapse to universal shirking, Shelby's combination of peer audits with occasional on-chain verification yields incentive compatibility under natural parameter settings. We also examine coalition behavior and outline a simple modification that strengthens the protocol's collusion-resilience.
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.
The problem addressed in this study is the lack of a proper conceptualization of the Distributed Ledger Technology-based Central Bank Digital Currency technical language that guides central banks and their stakeholders in the platforms design and implementation.This research aims to improve the DLT-based CBDC knowledge, proposing a human-centered reference model.We use Design Science Research methodology combined with other research methods.The literature has not provided a reference model that can be used to improve the design of the CBDC system to meet regulatory requirements.This study fills the gap in the literature by presenting a human-centered reference model for DLT-based CBDC that serves as a decision-aid tool to study citizens' needs and behaviors, to design user experience, to improve alignment between cultural values and policy roles, and to facilitate communication between experts and stakeholders on currency digitalization process.
This study investigates the specific factors affecting blockchain or the usage intention of distributed ledger technology (DLT), specifically availability, diversity, and economic value, from the perspective of a unified theory of technology acceptance. Users of DLT in public and private sectors were surveyed. Using a structural equation model, the results indicate that availability and economic value affect performance expectancy, while availability, diversity, and economic value have an influence on effort expectancy. Performance expectancy and transparency have a positive effect on the intention to use DLT, which in turn exerts a positive effect on usage behavior. This study provides implications for researchers in that it attempts to investigate the factors directly (like performance expectancy and transparency) or indirectly (like availability and economic value) affecting the usage intention of DLT based on the extended unified theory of acceptance and encompassing diverse industries that adopt DLT, such as the public, IT, financial, service medical, and logistics sectors.
PURCAREA LIVIU, RADULESCU CARMEN VALENTINA, Mănescu Andreea Maria
Blockchain technology has rapidly transformed the way decentralized systems operate, offering new possibilities for transparency, security, and autonomy. However, these benefits come with a notable drawback: the significant environmental cost associated with blockchain consensus mechanisms — particularly Proof of Work (PoW) Möser et all (2021). This paper examines the environmental impact of blockchain and investigates more sustainable alternatives, such as Proof of Stake (PoS) and other energy-efficient models. Using Ethereum’s transition from PoW to PoS as a central case study, along with examples such as Algorand and Chia, we explore how different architectural decisions affect energy consumption. Our analysis, based on recent academic research and technical data, suggests that sustainable blockchain models are technically viable—but their success depends on broader systemic changes, including clear regulations, governance reforms, and industry-wide engagement. In conclusion, blockchain can evolve into a sustainable technology, but only through a responsible and coordinated effort
Web3 is a fundamental change from a centralized, platform-centric internet to a decentralized, user-owned ecosystem powered by an open-source technology called Blockchain. This shift is not just a technological evolution, but also changes significantly how value is created, delivered, and captured. It enables new products, innovations, and business models. These products are often powered by tokens, whose value is described by their underlying tokenomics. They are designed to engage the community and incentivize the people who interact with the project. The users of Web3 often come together in decentralized autonomous organizations and democratically decide on the next steps and essential developments of the organization. The business models that are now possible because of the capabilities of a decentralized web have different success factors and reasons why they fail. This thesis conducts a systematic literature review and qualitative expert interviews to identify the success factors of Web3 business models. It first lists and categorizes the prevalent Web3 business models, their structures, and revenue models, and then highlights the success factors for Web3 business models. The findings reveal the difference between Web2 and Web3 business models, highlighting the importance of community, decentralization, governance, and robust token economics.
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.
Introduction Decentralized Autonomous Organizations (DAOs), digital organizations governed by code and community, offer new paradigms for collective governance; yet many early examples have reproduced the power asymmetries, exclusionary participation models, and inefficiencies found in traditional systems. This study examines how DAO governance can evolve to support fair, inclusive, and regenerative capital flows across distributed ecosystems, particularly in contexts where traditional coordination infrastructure is limited. Methods A qualitative case study was conducted on Hypha, an organisation that evolved from a classic DAO to a Decentralized Human Organization (DHO) and subsequently to an Adaptable Organization, or DAO 3.0. Data was collected through semi-structured interviews and document analysis, then interpreted using a People–Process–Technology framework to identify governance design principles. This was supported by a comparative taxonomy mapping the evolution from DAO 1.0 to DAO 3.0. Results Findings show a progression from early token-weighted DAO 1.0 models, through protocol-optimized DAO 2.0 structures, to DAO 3.0’s modular, relational, and context-adaptive designs. Hypha’s governance innovations include multi-layer modular voting, “leadership without control” protocols, real-time capital flow mechanisms, and trust-based safeguards that address fairness failures, enhance adaptability, and enable governance to respond dynamically to human complexity and local contexts. Discussion The Hypha case study positions DAO 3.0 as a prototype for regenerative coordination infrastructure where governance operates as a living system, balancing technological automation with human-centered design. This research expands DAO governance theory by clarifying conceptual boundaries, integrating recent literature, and providing practical guidance for policymakers, developers, and capital providers seeking to design equitable, regenerative governance and coordination systems.
Smart contracts are integral to blockchain technology, enabling decentralized and automated transactions. This study examines 1,000 smart contracts by analyzing metrics such as total transactions, unique users, total value transferred (ETH), gas consumption, and call frequency. Total transactions range from 1 to 18,902, with unique users spanning 1 to 14,839. The average total value transferred is 3,245.87 ETH, peaking at 7,850.16 ETH, while gas consumption averages 25,486,392 units with a maximum of 58,471,065 units. Strong correlations were identified between transaction volume (r = 0.78), user engagement, and gas consumption. Clustering analysis categorizes contracts into low, moderate, and high-activity groups, while anomaly detection highlights 32 contracts with unusual behaviors, indicating inefficiencies or vulnerabilities. These findings emphasize the importance of optimizing smart contract designs to improve efficiency, security, and scalability. The study provides actionable insights into operational patterns and proposes future research directions, including design optimization, real-time monitoring, cross-platform analysis, and machine learning applications for predictive modeling. By addressing these aspects, this research contributes to the ongoing development of robust and efficient decentralized systems.
The concept of Decentralized Autonomous Organizations (DAOs) has introduced a novel paradigm in organizational governance, characterized by more collaborative decision-making. However, the lack of established organizational frameworks for DAOs presents significant challenges to their constitution, stability, and longevity. Aiming to address this shortcoming, this paper presents a conceptual framework to guide the design of the community governance structure of DAOs. To achieve this aim, we employed two complementary methods: firstly, we conducted a systematic literature review about DAOs and community governance; secondly, we conducted an analysis of the governance methods employed by five DAOs operating in public blockchain ecosystems. The proposed framework provides a valuable tool for DAO founders, developers, and community members to design and implement effective governance structures and contributes to the understanding of DAO governance and further research.
Benjamin Kraner, Luca Pennella, Nicolò Vallarano, Claudio J. Tessone
We introduce a micro-velocity framework for analysing the on-chain circulation of Lidos liquid-staking tokens, stETH, and its wrapped ERC-20 form, wstETH. By reconstructing full transfer and share-based accounting histories, we compute address-level velocities and decompose them into behavioural components. Despite their growing importance, the micro-level monetary dynamics of LSTs remain largely unexplored. Our data reveal persistently high velocity for both tokens, reflecting intensive reuse within DeFi. Yet activity is highly concentrated: a small cohort of large addresses, likely institutional accounts, are responsible for most turnover, while the rest of the users remain largely passive. We also observe a gradual transition in user behavior, characterized by a shift toward wstETH, the non-rebasing variant of stETH. This shift appears to align with DeFi composability trends, as wstETH is more frequently deployed across protocols such as AAVE, Spark, Balancer, and SkyMoney. To make the study fully reproducible, we release (i) an open-source pipeline that indexes event logs and historical contract state, and (ii) two public datasets containing every Transfer and TransferShares record for stETH and wstETH through 2024-11-08. This is the first large-scale empirical characterisation of liquid-staking token circulation. Our approach offers a scalable template for monitoring staking asset flows and provides new, open-access resources to the research community.
Sri Handini, Garry Brumadyadisty, Susanto Soekiman, Denpharanto Agung Krisprimandoyo
The emergence of tokenized derivatives marks a significant innovation in decentralized finance (DeFi), offering potential improvements in market liquidity and pricing efficiency through blockchain-enabled mechanisms. As financial markets evolve with the integration of smart contracts and distributed ledgers, understanding how user perceptions influence market dynamics becomes increasingly critical. This study aims to examine the effect of perceived adoption of tokenized derivatives on market liquidity and pricing efficiency, while assessing the mediating role of liquidity in this relationship. Grounded in the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT), and Market Microstructure Theory (MMT), the research utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data from 150 fintech professionals based in Surabaya. The analysis reveals that perceived adoption significantly enhances both liquidity and pricing efficiency, with liquidity serving as a key mediating variable. These findings underscore the importance of behavioral constructs in shaping decentralized market outcomes and provide strategic insights for regulators, fintech developers, and policymakers aiming to accelerate adoption and improve market functionality in the DeFi landscape through perception-driven approaches.
Giacomo Vella, Luca Gastaldi, Francesco Paolo Appio
The rise of Decentralized Applications (DApps) represents a significant shift in how digital services are developed and governed, utilizing blockchain technology to eliminate central oversight and facilitate peer-to-peer interactions. While blockchain's algorithmic governance mechanisms are designed to enforce transparency and decentralization, human-driven processes—such as leadership roles, community engagement, and social norms—continue to play a pivotal role in shaping governance outcomes. This study investigates how these non-algorithmic factors influence the decentralization of DApp governance. Through a multiple case study of seven Decentralized Finance DApps, we analyze the governance structures, decision-making processes, and power dynamics at play. Our findings reveal that, despite the technological promise of decentralization, human-driven processes can reintroduce centralization risks, impacting inclusivity and decision-making. We propose an integrated governance framework that emphasizes human-driven mechanisms, contributing to the discourse on the practical realities of decentralized governance in DApps. The study offers theoretical and empirical insights into how decentralization is enacted and challenged in blockchain-based ecosystems. • Human-driven processes in DApps governance can reintroduce centralization risks despite tech promises. • Proposes an integrated framework emphasizing human-driven governance to address limits of algorithms. • Core teams often retain major decision power, impacting decentralization and creating power imbalances. • Misaligned incentives hinder participation, concentrating power and affecting DApps' decentralization.
Blockchain-based digital assets represent a new stage in the evolution of monetary systems. However, the mechanisms of seigniorage – the revenue derived from issuing these digital assets – remain insufficiently studied, creating a research gap. The author addresses this topic to analyze how seigniorage is transformed in the context of digitalization and what new forms it assumes. The objective of the work is to investigate the evolution and mechanisms of seigniorage in digital assets, including cryptocurrencies, stablecoins, and central bank digital currencies (CBDCs). The tasks include analyzing the historical development of digital assets, comparing seigniorage mechanisms (Proof-of-Work and Proof-of-Stake), and assessing the prospects for implementing the digital ruble in Russia. Research methods: analysis of historical data, comparison of seigniorage mechanisms in blockchain projects (Bitcoin, Ethereum, MakerDAO), and evaluation of the economic aspects of central bank digital currencies. The study utilizes open data, legislative acts, and scientific publications. The results demonstrate that seigniorage in digital assets takes on new forms, such as mining, staking, and algorithmic governance, which contribute to the creation of significant financial value. The implementation of the digital ruble, despite high costs, presents opportunities to enhance the efficiency of the financial system. The scope of application for the results includes developing regulatory approaches to digital assets and optimizing seigniorage mechanisms.
• Novel to literature we identify the macroeconomic determinants of cryptocurrency asset holdings.. • the more emigrants of developing countries living abroad, they intend to hold more cryptocurrencies to ease the transaction costs. • As countries governance body improves, individuals tend to hold less cryptocurrencies. Employing cross-sectional data of 142 countries worldwide, this paper examines the macroeconomic factors in shaping cryptocurrency adoption. We find that the aggregate impact of inflation volatility on crypto adoption is dependent on the level of corruption control in higher-income countries. The control of corruption appears to discourage cryptocurrency adoption, emphasizing the role of institutional trust in financial choices. We also find that higher emigrant ratios in non-high-income and lower-income countries are associated with increased cryptocurrency usage, which suggests that migrants tend to use cryptocurrencies for faster, cheaper remittances compared to traditional services. Last, we find that internet penetration plays a key role in crypto adoption, particularly in higher-income countries with advanced digital infrastructure.
Alessia Galdeman, Lucio La Cava, Matteo Zignani, Andrea Tagarelli · 5 authors
The rapid growth of Non-Fungible Tokens (NFTs) and the extensive trading activities associated with such an intriguing domain led to the emergence of large-scale and interconnected transaction networks involving the most prominent NFT markets. Despite such interdependencies representing an inestimable source of information for the proper understanding of the NFT landscape, previous studies treated each market separately, overlooking relevant phenomena. In this study, we explore a multilayer network modeling approach to analyze transactions in multiple NFT markets. We reveal previously unnoticed macroscopic and mesoscopic traits by investigating indicators that discern whether markets are independent or linked: users trading NFTs are organized in cross-market communities where multi-market users act as bridges across marketplaces, adapting to the diverse nature of the markets they operate in. We also conduct an in-depth examination of such multi-market users, studying their specific activity patterns that leave a distinctive mark on the system: the majority of multi-market users well differentiate their earnings and expenses among the markets, while a fraction of them is directed toward a more polarized money allocation based on the typology of the markets. By offering a fresh perspective on this intricate financial system and emphasizing the importance of perceiving the NFT markets as a unique and interconnected world, our study paves the way for further contributions aimed at unraveling the complexity of cryptosystems and understanding the latent phenomena across NFT markets.
Stablecoins have become a foundational component of the digital asset ecosystem, with their market capitalization exceeding 230 billion USD as of May 2025. As fiat-referenced and programmable assets, stablecoins provide low-latency, globally interoperable infrastructure for payments, decentralized finance, DeFi, and tokenized commerce. Their accelerated adoption has prompted extensive regulatory engagement, exemplified by the European Union's Markets in Crypto-assets Regulation, MiCA, the US Guiding and Establishing National Innovation for US Stablecoins Act, GENIUS Act, and Hong Kong's Stablecoins Bill. Despite this momentum, academic research remains fragmented across economics, law, and computer science, lacking a unified framework for design, evaluation, and application. This study addresses that gap through a multi-method research design. First, it synthesizes cross-disciplinary literature to construct a taxonomy of stablecoin systems based on custodial structure, stabilization mechanism, and governance. Second, it develops a performance evaluation framework tailored to diverse stakeholder needs, supported by an open-source benchmarking pipeline to ensure transparency and reproducibility. Third, a case study on Real World Asset tokenization illustrates how stablecoins operate as programmable monetary infrastructure in cross-border digital systems. By integrating conceptual theory with empirical tools, the paper contributes: a unified taxonomy for stablecoin design; a stakeholder-oriented performance evaluation framework; an empirical case linking stablecoins to sectoral transformation; and reproducible methods and datasets to inform future research. These contributions support the development of trusted, inclusive, and transparent digital monetary infrastructure.
Blockchain-based cryptocurrencies have generated substantially divergent views, opinions, and interpretations about their fundamental nature, sense, and purpose compared to other IT. This study examines what these varying interpretations are and how they influence business decision-makers’ perceptions and acceptance of Bitcoin, the most prominent cryptocurrency, specifically. Drawing on Bijker’s socio-constructivist concepts of “frames”, and using a case study of Bitcoin acceptance, we make two key contributions. First, we identify seven distinct frames used in the cryptocurrency context: currency, asset, novelty, ideological, socio-cultural, business, and IT tool frames of reference. We theorise how these frames emerge from prior frames, drawing on different reference points, foreground or background facets of Bitcoin, and hence lead to constructions of “Bitcoin-as-X” and acceptance or rejection in both conceptual and practical terms. Second, the paper provides an exemplar of how any digital phenomena with ambivalent or conflicting assessments can be studied in general. We conclude by discussing implications for theory and practice.