Non-Fungible Tokens (NFTs) are unique digital assets which operate in a decentralised system that facilitate true digital ownership and product authenticity, leading to significant consumer interest. Despite growing interest, a gap exists in understanding the consumer journey regarding NFT purchase and consumption. This study aims to enhance comprehension of the consumer motivations and ownership intentions in NFT markets through the theoretical framework of Consumer Culture Theory (CCT). By exploring the three stages of the consumption journey - pre-purchase, acquisition and possession and post-purchase evaluation and behaviour – this research contributes to a nuanced understanding of consumer behaviour. Employing a qualitative phenomenological methodology, the study involved in-depth, one-on-one interviews with twenty-five NFT consumers. These participants were selected through purposive sampling within a virtual community to understand consumers lived experiences of NFT purchasing and consumption. The findings revealed a comprehensive consumer journey of NFT consumption. This was categorised through three stages: risk and motivation of consumption, digital ownership and market processes, and value creation and consumer behaviour. Additionally, twelve distinct personas were identified, illustrating varied motivations and behaviours among NFT consumers. Theoretical contributions include a holistic expansion of CCT research to encompass decentralised digital asset consumption, addressing a critical gap in existing literature. Practically, the findings provide valuable insights for organisations and marketing teams, enhancing their understanding of consumer motivations, ownership intentions, and value attributed to NFTs. This knowledge empowers marketers to better interact with communities, customer journeys and experiences of both current and prospective consumers of Non-Fungible Tokens.
The transition of Ethereum from a Proof-of-Work (PoW) to a Proof-of-Stake (PoS) consensus mechanism introduces a transformative approach to blockchain validation, offering enhanced scalability, energy efficiency, and security. However, this shift also presents significant challenges, including high barriers to becoming a validator, restrictions on the liquidity of staked Ether (ETH), and the risk of centralization due to staking pool dynamics. This paper addresses these challenges by exploring two innovative solutions: EigenLayer and Lido. EigenLayer is a middleware solution enabling restaking, allowing validators to secure multiple protocols and thereby increasing decentralization and profitability. Lido, a liquid staking protocol, simplifies participation by issuing stETH tokens that retain liquidity, allowing users to earn rewards without long-term lock-up constraints. This paper provides a detailed analysis of how these technologies mitigate key PoS challenges, reduce validator entry barriers, unlock staked capital, and improve decentralization. We conclude with an evaluation of the combined potential of EigenLayer and Lido to foster a more resilient and inclusive Ethereum ecosystem, setting the stage for further advancements in decentralized finance.
Mathew Fukuzawa, Michael G. Kay, Brandon M. McConnell, Kristin Thoney-Barletta · 5 authors
Purpose - Demonstrate proof-of-concept for an expanded blockchain smart contract based small-scale contracting process that includes an internally managed arbitration service to manage disputes. Design/Methodology/Approach - Using Ethereum smart contracts, we model a small-scale general contracting scenario with disruptions. Execution is demonstrated with the Remix Integrated Development Environment (IDE). Findings - We show the feasibility of managing general contracting disputes with an internal arbitration service, completely encompassed within blockchain smart contracts. Originality/value - This research continues an original effort to model the small-scale general contracting scenario on a blockchain network. Research limitations/implications - Further work is required to expand the scope of dispute management and account for additional external factors. Also, full-scale decentralized application is not explored here. Practical implications - This process expands the scope of current practices and tools, such as Angi, in a decentralized manner with blockchain. Social Implications - Full-scale adoption at the small scale is likely difficult due to disbelief in technology, cost, and resistance to change.
Automated Market Makers (AMMs) are essential to decentralized finance, offering continuous liquidity and enabling intermediary-free trading on blockchains. However, participants in AMMs are vulnerable to Maximal Extractable Value (MEV) exploitation. Users face threats such as front-running, back-running, and sandwich attacks, while liquidity providers (LPs) incur the loss-versus-rebalancing (LVR). In this paper, we introduce RediSwap, a novel AMM designed to capture MEV at the application level and refund it fairly among users and liquidity providers. At its core, RediSwap features an MEV-redistribution mechanism that manages arbitrage opportunities within the AMM pool. We formalize the mechanism design problem and the desired game-theoretical properties. A central insight underpinning our mechanism is the interpretation of the maximal MEV value as the sum of LVR and individual user losses. We prove that our mechanism is incentive-compatible and Sybil-proof, and demonstrate that it is easy for arbitrageurs to participate. We empirically compared RediSwap with existing solutions by replaying historical AMM trades. Our results suggest that RediSwap can achieve better execution than UniswapX in 89% of trades and reduce LPs' loss to under 0.5% of the original LVR in most cases.
Bitcoin adoption as a legal tender threatens a financial crisis because of the lack of regulatory frameworks and systems for exchanging Bitcoin into local currencies. This study analyzes monthly data from 2010 to 2022 using a structural vector autoregressive model, estimating Bitcoin’s pass-through into remittance, money multiplier, the US Dollar index, and gold price. The results show that Bitcoin prices decrease the money multiplier and gold prices in both the short and long run, while remittances moderately increase in the long run. The implication of these results suggests the potential for international business opportunities to stimulate the credit, savings, and investment monetary policy channel. The results are robust to alternative SVAR identification strategies.
We investigate the motivations behind non-fungible token (NFT) ownership. Utilizing survey data from NFT owners, we identify four distinct groups based on their primary motivations: (1) Utilizers, who emphasize functional uses; (2) Socializers, motivated by community and networking; (3) Speculators, focused on profit potential; and (4) Aesthetes, who appreciate artistic and cultural aspects. Our analysis indicates that individual traits such as risk-taking, impulsivity, and investment knowledge significantly influence group membership. These findings suggest that NFT users are a diverse cohort with varied motivations rather than a homogeneous group.
Bitcoin remains a popular investment choice despite the regulatory obstacles and failures of many crypto firms. This intriguing behavior of investors necessitates calls for more in-depth research. This study explores the underlying motivations behind the intention to invest in Bitcoin by considering inaction regret aversion, overconfidence bias, herding, risk affinity, profit expectancy, perceived ease of investing, and social media influence in shaping the investors’ attitude towards investing in Bitcoin and consequently on behavioral intention to invest in Bitcoin. The study employs PLS-SEM and mediation analysis on a sample of 439 individuals from India with no history of cryptocurrency trading or investment. Path analysis demonstrates that inaction regret aversion, risk affinity, profit expectancy of Bitcoin, perceived ease of investing in Bitcoin, and social media influence are significant positive predictors of attitude toward investing in Bitcoin. Notably, profit expectancy remains the most relevant variable in the stated context. Attitude toward investing in Bitcoin positively and significantly influences the behavioral intention to invest in Bitcoin. The current study also indicates the significance of attitude as a mediator in the mentioned context.
The rapid development of new technologies, together with the emergence of new military conflicts and humanitarian crises, creates the need for quick response and the introduction of new methods of effective assistance to the affected population and the restoration of damaged territories. Decentralized charity became one of these methods of assistance. To implement the task, the latest technologies were used, which combine maximum transparency and complete security when forming and working with charitable payments. The main technologies that were used: blockchain and smart contracts on it, protocols of liquidity pools and profitable farming, as well as web development technologies for creating a web application. The research analyzed existing approaches, methods of software solutions for financing decentralized charity; developed and improved the mathematical model and architecture of the software application. A system of smart contracts was created using additional administrative modules, and on its basis, a decentralized charitable platform for assistance to Ukraine was implemented in the form of a web application. Such a decentralized system can be freely used and implemented nowadays to finance the most necessary charitable projects of our country with crypto-assets in various spheres: humanitarian, social or in matters of security and weapons.
Mark Rüetschi, Carlo Campajola, Claudio J. Tessone
This paper creates a new taxonomy of Decentralized Finance (DeFi) protocols following the methodology specifically tailored to information systems set out by Nickerson et al. (2013). This taxonomy provides a tool to classify DeFi protocols, allowing for a structured comparison with traditional financial mechanisms in the present-day (as included in this paper), as well as providing a repeatable procedure in order to track development of the space in the future. Further, the clustering of classified protocols facilitates the rapid identification of similar protocols beyond the mere identification of functions. The dimensions and characteristics of the taxonomy are discussed, as well as qualitative observations concerning the current DeFi landscape. Comparisons with traditional financial mechanisms highlight not only instances of one-to-one replacement of centralized instruments with decentralized alternatives, but also new innovations and products better suited to DeFi environments. Risks and opportunities around these inventions are also discussed.
Mark C. Ballandies, Dino Carpentras, Evangelos Pournaras
Decentralized autonomous organizations (DAOs) have transformed organizational structures by shifting from traditional hierarchical control to decentralized approaches, leveraging blockchain and cryptoeconomics. Despite managing significant funds and building global networks, DAOs face challenges like declining participation, increasing centralization, and inabilities to adapt to changing environments, which stifle innovation. This paper explores DAOs as complex systems and applies complexity science to explain their inefficiencies. In particular, we discuss DAO challenges, their complex nature, and introduce the self-organization mechanisms of collective intelligence, digital democracy, and adaptation. By applying these mechanisms to refine DAO design and construction, a conceptual framework for assessing a DAO’s viability is created. This contribution lays the foundation for future research at the intersection of complexity science, digital democracy and DAOs.
Pierluigi Martino, Tom Vanacker, Igor Filatotchev, Cristiano Bellavitis
Abstract Drawing on institutional and demand-side perspectives, we investigate performance implications of (de)centralized governance modes in platform-based new ventures, and the conditions under which (de)centralization generates more value. Using a sample of 1,431 Initial Coin Offerings (ICOs), a new source of entrepreneurial finance, we find that centralization of decision-making is positively associated with platforms’ market value. Further, we consider how platform characteristics affect this relationship, finding that both the presence of an experienced Chief Technology Officer (CTO) and project transparency negatively moderate the positive relationship between centralization and market value. Thus, decentralized platforms need leaders with technical experience and project transparency to generate more value. Overall, this study provides a better understanding of the boundary conditions that increase the value of (de)centralized governance.
Longjin Yu, Man Ji, Fazli Haleem, Yilong Gong · 6 authors
Small and medium-sized enterprises (SMEs) play a critical role in promoting the development of China’s real economy and improving national productivity, but their financing still faces challenges. In recent years, supply chain finance (SCF) has become one of the most important solutions to SMEs’ financing difficulties. Promoting the digital and innovative development of SCF can better meet the financing needs of SMEs. This study is based on a case study of Zhejiang MYbank Co., Ltd. (MYbank) in Hangzhou, China, which is a representative institution of digital supply chain finance development in China and committed to realizing the digital innovation development of SCF. Based on MYbank’s financial index data from 2018 to 2022, the implementation effect of MYbank’s digital supply chain finance is quantitatively analyzed from the perspectives of SMEs and MYbank. The main findings are as follows.(1) In the practice of digital supply chain finance, MYbank implements the new concepts of SCF decentralization and full coverage of supply chain links while enhancing the sustainability of SCF. (2) For SMEs, MYbank’s digital supply chain finance development has led to an increase in the financing scale and financing availability of SMEs. (3) The analysis of MYbank’s comprehensive benefits shows that the digital innovation development of SCF effectively increased the overall economic value of the enterprise during the period of 2018–2022. Based on these findings, this study provides implications for commercial banks and other financial institutions to develop digital supply chain finance.
Hamza Salem, Hadi Salloum, Manuel Mazzara, Nursultan Askarbekuly · 6 authors
The rapid expansion of the non-fungible token (NFT) market has catalyzed new opportunities for artists, collectors, and investors, yet it has also unveiled critical challenges related to the storage and distribution of associated metadata. This paper examines the current landscape of NFT metadata storage, revealing a significant reliance on centralized platforms, which poses risks to the integrity, security, and decentralization of these digital assets. Through a detailed analysis of top-selling NFTs on the OpenSea marketplace, it was found that a substantial portion of metadata is hosted on centralized servers, making them susceptible to censorship, data breaches, and administrative alterations. Conversely, decentralized storage solutions, particularly the InterPlanetary File System (IPFS), were identified as a more secure and resilient alternative, offering enhanced transparency, resistance to tampering, and greater control for creators and collectors. This study advocates for the widespread adoption of decentralized storage architectures, incorporating digital signatures to verify ownership, as a means to preserve the value and trustworthiness of NFTs in an increasingly digital world. The findings underscore the necessity for NFT platforms to prioritize decentralized methodologies to ensure the long-term sustainability and integrity of the NFT
Cryptocurrencies’ popularity is growing despite short-term fluctuations. Peer-reviewed research into trust in cryptocurrency payments started in 2014. While the model created then, is based on proven theories from psychology and supported by empirical research, a-lot has changed in the past 10 years. This research finds that the original model is still valid, but it is extended to capture the current situation better. A quantitative methodology is used to validate the updated model proposed. The results from the quantitative survey show that (1) personal innovativeness in technology and (2) finance, influence (3) disposition to trust. Disposition to trust influences six variables from the specific context of the payment. Three variables related to the cryptocurrency itself are (4) stability in the value, (5) transaction fees, and (6) reputation. Institutional trust is influenced by (7) regulation, and (8) payment intermediaries. The last contextual factor is (9) trust in the retailer. The six variables from the context influence (10) trust in the payment which, finally, influences (11) the likelihood of making the cryptocurrency payment.
David Melo, Saúl E. Pomares Hernández, Lil María Rodríguez-Henríquez, Julio César Pérez-Sansalvador
Bitcoin is a payment system that generates a decentralized digital currency without ensuring temporal constraints in its transactions; therefore, it is vulnerable to double-spending attacks. Karame has proposed a formalization for a successful double-spending attack based on meeting three requirements. This focuses on fast payment scenarios where the product is delivered immediately after the payment is announced in the mempool, without waiting for transaction confirmation. This scenario is key in Bitcoin to increase the probability of a successful double-spending attack. Different approaches have been proposed to mitigate these attacks by addressing one or more of Karame’s three requirements. These include the following: flooding every transaction without restrictions, introducing listeners/observers, avoiding isolation by blocking incoming connections, penalizing malicious users by revealing their identity, and using machine learning and bio-inspired techniques. However, to our knowledge, no proposal deterministically avoids double-spending attacks in fast payment scenarios. In this paper, we introduce DiFastBit: a distributed transaction differentiation scheme that shields Bitcoin from double-spending attacks in fast payment scenarios. To achieve this, we modeled Bitcoin from a distributed perspective of events and processes, reformulated Karame’s requirements based on Lamport’s happened-before relation (HBR), and introduced a new theorem that consolidates the reformulated requirements and establishes the necessary conditions for a successful attack on fast Bitcoin payments. Finally, we introduce the specifications for DiFastBit, formally prove its correctness, and analyze DiFastBit’s confirmation time.
Abstract Blockchain-based cryptocurrencies have garnered significant attention from academic and industry. However, systematic studies on cryptocurrency usage patterns and adoption across contexts are limited. Identifying factors and developing predictive models for cryptocurrency adoption remains challenging. This article conducts a systematic review with qualitative and quantitative (mixed) syntheses on the adoption of blockchain-based cryptocurrencies, adhering to PRISMA guidelines. From 579 initial articles, 124 were selected and classified into review-based, exploratory-based, and empirical-based categories. Exploratory articles examined global awareness and ownership of cryptocurrencies. Empirical articles were categorized into general, payment method, investment tool, transfer medium, and other contexts. The review reveals higher awareness and ownership of cryptocurrencies among young, educated males with proficient computer skills in both developed and developing nations. The Technology Acceptance Model (TAM) and its variants are the most frequently used in the surveyed articles. Key factors like Perceived Ease of Use (PEoU), Perceived Usefulness (PU), and Perceived Trust were extensively studied. Studies on payment methods mainly focused on the customer perspective, with limited attention to the service provider perspective. As an investment tool, factors like social influence, PU, financial literacy, facilitating conditions, and perceived risk were significant. For cryptocurrencies as a transfer medium, security and risk perceptions, performance and effort expectancy, and social influence were crucial. In other contexts, trialability, transparency, and cost efficiency drove adoption, with trust and usability being vital for cryptocurrency wallet usage. Additionally, the article proposes an integrative model combining TAM with technical, economic, personal, and environmental factors. The findings from this systematic review will guide future research in developing more comprehensive models for predicting the adopting of cryptocurrencies across various contexts.
Blockchain technology’s scalability is a major challenge that hampers its adoption and utility, particularly in resource-constrained local communities. In this paper, we present TokenCards 1, a novel commit-chain tailored to local communities.
Ole Delzer, Richard Hobeck, Ingo Weber, Dominik Kaaser · 6 authors
Abstract The growing popularity of blockchains highlights the need to improve their scalability. While previous research has focused on scaling transaction processing, the scalability of transaction creation remains unexplored. This issue is particularly important for organizations needing to send large volumes of transactions quickly or continuously. Scaling transaction creation is challenging, especially for blockchain platforms like Ethereum, which require transactions to include a sequence number. This paper proposes four different methods to scale transaction creation. Our experimental evaluation assesses the scalability and latency of these methods, identifying two as feasible for scaling transaction creation. Additionally, we provide an in-depth theoretical analysis of these two methods.
Koosha Esmaeilzadeh Khorasani, Sara Rouhani, Rui Pan, Vahid Pourheidari
Interoperability is a significant challenge in blockchain technology, hindering seamless data and service sharing across diverse blockchain networks. This study introduces Automated Gateways as a novel framework leveraging smart contracts to facilitate interoperability. Unlike existing solutions, which often require adopting new technologies or relying on external services, Automated Gateways framework is integrated directly with a blockchain's core infrastructure to enhance systems with built-in interoperability features. By implementing fine-grained access control mechanisms, smart contracts within this framework manage accessibility and authorization for cross-chain interactions and facilitate streamlining the selective sharing of services between blockchains. Our evaluation demonstrates the framework's capability to handle cross-chain interactions efficiently, significantly reduce operational complexities, and uphold transactional integrity and security across different blockchain networks. With its focus on user-friendliness, self-managed permissions, and independence from external platforms, this framework is designed to achieve broader adoption within the blockchain community.
Alexander Grünewald, Tan Gürpinar, Carina Culotta, Alicia Guderian
Abstract Many enterprises are currently engaged in developing blockchain-based business models. Enterprise networks offer a variety of potential applications for blockchain solutions as they benefit from transparency and security as well as automation of handling data, material, and financial flows along their supply chains. Despite profound potentials, the indicated business models are still in their early stages and need further investigation. To provide an overview of existing blockchain-based business models in the context of enterprise networks, the underlying paper designs a multidimensional taxonomy and identifies several archetypes of blockchain-based businesses. For the taxonomy development, data from 101 blockchain start-ups serves as a basis for empirical validation. Using hierarchical clustering and the k-means method, seven archetypes that sharpen the understanding of how blockchain solutions affect business models in enterprise networks and enable new business models are derived. The proposed work results are intended to be applied in future research and practice to classify and assess the integration of blockchain solutions into existing business models and to support developing new ones that leverage emerging technological capabilities.
Smart contracts, known for their immutable nature to ensure trust via automated enforcement, have evolved to require upgradeability due to unforeseen vulnerabilities and the need for feature enhancements post-deployment. This contradiction between immutability and the need for modifications has led to the development of upgradeable smart contracts. These contracts are immutable in principle yet upgradable by design, allowing updates without altering the underlying data or state, thus preserving the contract's intent while allowing improvements. This study aims to understand the application and implications of upgradeable smart contracts on the Ethereum blockchain. By introducing a dataset that catalogs the versions and evolutionary trajectories of smart contracts, the research explores key dimensions: the prevalence and adoption patterns of upgrade mechanisms, the likelihood and occurrences of contract upgrades, the nature of modifications post-upgrade, and their impact on user engagement and contract activity. Through empirical analysis, this study identifies upgradeable contracts and examines their upgrade history to uncover trends, preferences, and challenges associated with modifications. The evidence from analyzing over 44 million contracts shows that only 3% have upgradeable characteristics, with only 0.34% undergoing upgrades. This finding underscores a cautious approach by developers towards modifications, possibly due to the complexity of upgrade processes or a preference for maintaining stability. Furthermore, the study shows that upgrades are mainly aimed at feature enhancement and vulnerability mitigation, particularly when the contracts' source codes are accessible. However, the relationship between upgrades and user activity is complex, suggesting that additional factors significantly affect the use of smart contracts beyond their evolution.
The latest advancements in Distributed Ledger Technology (DLT), and payment architectures such as the UK's New Payments Architecture, present opportunities for leveraging the hidden informational value and intelligence within payments. In this paper, we present Smart Money, an infrastructure capability for a Central Bank Digital Currency (CBDC) which enables real-time Value Added Tax split payments, oversight, controlled access and smart policy implementation. This capability is implemented as a prototype, called Making Tax Smart (MTS), which is based on the open source R3 Corda framework. The results presented herein confirm that it is feasible to build a MTS capability which is scalable and co-exists with the current payment systems. Smart Money CBDC has the potential to mobilise payments data in order to transform the role of money from a blunt instrument to a government policy sensor and actuator without disrupting the existing money system. DLT, smart contracts and programmable money have a crucial role to play with benefits for government departments, the economy and society as a whole.
Blockchain technology enables innovative financing models in supply-chain finance. This research constructs a tripartite evolutionary game model that includes core enterprises as employers, small- and medium-sized enterprises (SMEs) as contractors, and banks as financial institutions, where they have been simulated for their impact on blockchain technology, especially on the strategic choices of supply-chain financing behavior and the system’s evolutionary path under core enterprises’ guarantee mechanism. The findings show the application of blockchain technology can effectively reduce the regulatory and review costs for financial institutions, thereby enhancing the efficiency of supply-chain financing. Particularly, blockchain technology provides a more reliable credit endorsement platform for SMEs in reducing their tendency to default. The guarantee mechanism of core enterprises is more effective with the support of blockchain technology, which helps to build more solid supply-chain financial cooperation relationships. The research contributes to the theoretical research on the integration of blockchain technology into supply-chain finance, especially for improving the operational efficiency of financial services. It also highlights the need for blockchain-backed guarantees from core enterprises in optimizing supply-chain financial services.
This thesis investigates the impact of design solutions on the execution costs of Ethereum smart contracts, focusing on gas consumption at function level. The work analyzes real-world smart contracts and combines transaction data from Etherscan, function similarity analysis through SmartEmbed and ANTLR, and statistical testing to identify design patterns associated with higher execution costs. Starting from a dataset of Solidity smart contract functions, the study identifies highly similar function pairs with divergent gas costs and manually examines the surrounding contract context to detect recurring design differences. These patterns are then grouped into broader categories and evaluated through statistical analysis to assess their relationship with gas consumption. The results provide practical insights for developers and researchers interested in designing more efficient, sustainable, and cost-aware smart contracts on Ethereum.