Smart contracts are changing many business areas with blockchain technology, but they still have vulnerabilities that can cause major financial losses. Because deployed smart contracts (SCs) are irreversible once deployed, fixing these vulnerabilities before deployment is critical. This research introduces a new method that combines code embedding with Generative Adversarial Networks (GANs) to find integer overflow vulnerabilities in smart contracts. Using Abstract Syntax Trees, we can vectorize the source code of smart contracts while keeping all of the important contract characteristics and going beyond what can be achieved with conventional textual or structural analysis. Synthesizing contract vector data using GANs alleviates data scarcity and facilitates source code acquisition for training our detection system. The proposed method is very good at finding vulnerabilities because it uses both GAN discriminator feedback and vector similarity measures based on cosine and correlation coefficients. Experimental results show that our GAN-based proactive analysis method achieves up to 18.1% improvement in accuracy over baseline tools such as Oyente and sFuzz.
Virginia Springer, Krithika Randhawa, Marin Jovanovic, Paavo Ritala · 5 authors
Industrial business-to-business (B2B) platforms are meta-organizations (i.e., organizations of organizations) that typically integrate digital assets with physical products such as machinery or equipment, often operating in specialized contexts with a limited network of complementors and end users. These characteristics distinguish B2B platforms from their business-to-consumer (B2C) counterparts, as they are defined by distinctive design features and governance drivers. Yet, the current platform literature predominantly focuses on B2C markets, leaving a critical gap in understanding the design and governance of B2B platforms in industrial contexts. We address this gap by adopting a meta-organizational perspective on B2B platforms in industrial markets to examine how the distinct design features of B2B platforms shape their meta-organizational governance. First, we uncover distinctive design features of B2B platforms across three dimensions: platform market, platform architecture, and cyber-physical integration. Building on these features and evidence from the emerging literature, we classify B2B platforms into five dominant archetypes: matchmaker, application marketplace, solution enabler, consortium, and decentralized autonomous platforms. Second, we theorize that the governance of these archetypes is shaped by their design features and revolves around two main dimensions: control rights (i.e., enforcement authority) and decision rights (i.e., autonomy over platform assets). These dimensions underpin distinct governance models, which we label unified, collaborative, regulated, and algorithmic governance. We consolidate these insights into an organizing framework of B2B platform governance and contribute to the literature in four ways: (1) providing a nuanced understanding of B2B platform design and governance, (2) identifying distinct archetypes and developing a framework for B2B platform governance, (3) explaining how B2B platform design features influence governance models, and (4) setting a research agenda to strengthen the design and governance of B2B platforms. By broadening our understanding of platforms as meta-organizations, we advance knowledge of how B2B platforms create and capture value in industrial markets. • We examine the distinct design features of B2B platform governance. • We identify five B2B platform archetypes based on their distinct design features. • B2B meta-organizational governance encompasses unique control and decision rights. • We identify unified, collaborative, regulated, algorithmic governance models. • Each governance model is characterized by different control and decision rights.
Бүгінде қаржы секторы Биткойн және Эфириум сияқты криптовалюталар басқаратын блокчейн технологиясы мен ақылды келісімшарттар ұсынатын мүмкіндіктермен мүлдем жаңа дәуірге аяқ басты. Осы жаңа дәуірде таратылған құрылымға ие және қауіпсіз, ашық және өзгермейтін жазу жүйесін ұсынатын блокчейн технологиясы арқылы қаржы секторына әкелген ең маңызды жаңалықтардың бірі - DeFi деп аталатын орталықтандырылмаған қаржылық қосымшалар. DeFi дәстүрлі қаржылық жүйені түрлендіретін, орталық органдарды алмастыратын жүйені құруға мүмкіндік беретін және негізінде ашық әрі қолжетімді қаржы жүйесін құру үшін блокчейн технологиясын қолданатын экожүйе ретінде қабылдана бастады. DeFi қосымшалары арқылы банктерге немесе әртүрлі қаржылық делдал институттарына жүгінбей-ақ ашық және қауіпсіз транзакциялар жасауға бағытталған. Орталықсыздандырудың арқасында пайдаланушыларға өз активтерін толық бақылау қамтамасыз етіледі және олардың орталық органдарға тәуелділігі төмендейді. Бұл зерттеудің мақсаты DeFi-дің (Decentralized Finance-орталықтандырылмаған қаржы) негізгі принциптері мен мүмкіндіктерін бағалау және оның CeFi-ден (Centralized Finance-орталықтандырылған қаржы) айырмашылығын көрсету болып табылады. Мақалада талдау, индукция және дедукция, салыстырмалы талдау әдістері қолданылды. Зерттеудің теориялық және әдіснамалық негізі шетелдік ғалымдардың ғылыми еңбектері мен Defillama және CoinMarketCap ұйымдарының статистикалық есептері болып табылады. Зерттеу нәтижесінде DeFi экожүйесінің орталықсыздандыру және делдалдық институтсыз транзакция жасау сияқты артықшылықтары бар болса да, оның әртүрлі жүйелі және жүйелі емес тәуекелдері бар (мысалы, реттеу, тұтынушылық, технологиялық және операциялық). Бұл тәуекелдер пайдаланушыларды инвестициялық шығынға ұшыратады. Жүйедегі негізгі технологияны түсіну және күшті қауіпсіздік шараларын қолдану арқылы пайдаланушылар осы ықтимал қауіптерді азайта алады. DeFi пайдаланушылары осы ықтимал тәуекелдерді білуі, жаңа платформаларға қатысуы және инвестициялауда мұқият болуы керек. Нәтижесінде, орталықтандырылмаған қаржы әкелетін инновациялық мүмкіндіктерді кеңінен тану және жүйе ішіндегі ықтимал тәуекелдерді азайту арқылы тезірек, арзанырақ және қолжетімді қаржылық қызметтер ұсынылып, DeFi экожүйесі кеңірек таралуы мүмкін.
The rapid expansion of digital platforms has fundamentally reshaped the way organizations exchange information, manage transactions, and coordinate distributed operations. However, the increasing dependence on centralized digital infrastructures has also raised concerns regarding data integrity, system transparency, and institutional trust. Traditional software architectures often rely on centralized authorities to validate transactions, manage data ownership, and enforce operational rules. While these systems have enabled large-scale digital services, they also introduce risks related to single points of failure, data manipulation, and institutional dependency. Blockchain technology has emerged as a transformative approach for addressing these challenges by enabling distributed trust infrastructures that operate without centralized intermediaries. By combining cryptographic security, distributed consensus mechanisms, and immutable ledgers, blockchain platforms provide a foundation for building software systems in which trust is established through verifiable computation rather than institutional authority. This capability has attracted significant interest from both academic researchers and industry practitioners seeking to design secure digital infrastructures for financial services, supply chains, identity management, and data governance. Despite the conceptual appeal of blockchain technology, integrating distributed ledger infrastructures into modern software platforms presents substantial engineering challenges. Enterprise software systems must operate at high levels of scalability, maintain strong security guarantees, and support integration with existing digital infrastructures. Designing blockchain-integrated service platforms therefore requires a careful balance between decentralized trust mechanisms and practical software engineering constraints. This paper examines the architectural foundations required for engineering blockchain-integrated service platforms capable of supporting secure distributed trust systems. The study analyzes how blockchain technologies can be integrated into modern software architectures, explores the role of smart contracts as programmable trust mechanisms, and investigates the security implications of distributed ledger infrastructures. Particular attention is given to architectural design patterns that enable blockchain systems to operate alongside conventional cloud-based service architectures. The paper further discusses scalability challenges associated with blockchain networks and explores strategies for integrating distributed ledger technologies with enterprise software platforms. Through a comprehensive architectural analysis, this research proposes design principles for building secure, scalable, and resilient blockchain-enabled service platforms. By examining the intersection of distributed systems engineering, cryptographic security, and software architecture design, this study contributes to a deeper understanding of how blockchain technologies can support the development of trustworthy digital infrastructures for next-generation software systems.
This paper investigates the impact of cross-chain deployment on the market performance of decentralized applications (Dapps) within the evolving multichain Web3 ecosystem. While cross-chain Dapps benefit from broader user reach, improved scalability, and enhanced resilience, they also face significant challenges, including technical complexities, security risks, and fragmented liquidity. This paper analyses how Dapps' transaction distribution across multiple blockchains influences their market performance. Preliminary findings reveal that Dapps operating on multiple chains tend to underperform in terms of market capitalization, token price, and transaction volume compared to those concentrated on a single or few chains. These results highlight critical concerns about the effectiveness of cross-chain strategies.
The rapid advancement and adoption of blockchain technology have fundamentally transformed various aspects of digital interaction, leading to the emergence of novel governance frameworks that challenge traditional centralized models. At the forefront of this transformation are decentralized autonomous organizations (DAOs) and an array of other governance structures applied in both permissionless and permissioned blockchain environments. Unlike conventional organizations that rely on hierarchical authority, DAOs within permissionless systems strive to operate through decentralized networks where decision-making power is distributed among all members, facilitated by smart contracts and governance tokens. In parallel, permissioned blockchain applications, often employed by consortia or enterprises, experiment with more structured membership and delegated authority, blending decentralized principles with selective participation to maintain compliance, accountability, and operational efficiency. These governance mechanisms, whether in DAOs or permissioned networks, are envisioned to enhance transparency, inclusivity, and autonomy. Yet, despite their idealistic promises, practical implementations have revealed significant challenges. Within DAOs, governance tokens intended to promote equitable decision-making often lead to power concentration and stakeholder inequality. Moreover, vulnerabilities in smart contract design and the absence of robust accountability frameworks have produced notable failures. In permissioned contexts, while governance structures can mitigate some of these issues through established roles and clearer recourse mechanisms, complexities arise in balancing decentralized ideals with enterprise-grade stability and oversight. This thesis critically examines the foundational principles of blockchain-based governance—spanning from permissionless DAOs to permissioned consortia— alongside their operational realities and limitations. It explores the effectiveness of governance tokens and the vulnerabilities undermining participatory ideals. It further examines whether emerging innovations, such as quadratic voting, market-based, and NFT-based voting mechanisms, mitigate any of the identified issues.
The implementation of open banking frameworks together with Application Programming Interfaces (APIs) creates significant market changes because they boost financial innovation as well as customer satisfaction while promoting market competition. The research study examines the impact of regulatory movements along with technical advancements which rebuilds conventional banking systems through open banking processes. The security of financial data exchange facilitated through open banking APIs allows financial institutions to link with third-party providers for delivering state-of-the-art personalized services and better access to credit and seamless payments. This analysis focuses on the opportunities along with issues that come from using open banking technology together with the necessity of standardizing API protocols because of privacy threats and digital security vulnerabilities. Open banking serves as a technology that builds financial inclusion by giving consumers full control of their financial data. The findings from industry studies with case examples demonstrate how open banking joint with APIs transitions finance toward a decentralized user-focused system that connects different entities. The research shows that open banking success depends on the teamwork between stakeholders while strong regulatory guides and innovative efforts drive complete exploitation of its potential
The article explores the integration of digital payment systems into e-commerce as a key factor in strengthening enterprise economic security. It emphasises the strategic role that digital payments play in ensuring financial stability, reducing operational risks, and enhancing customer trust, especially for small and medium-sized enterprises (SMEs). The study synthesises current academic discourse and industry reports, focusing on the advantages of real-time transaction processing, transparency, compliance with regulatory standards, and operational efficiency. It highlights the risks associated with cybersecurity threats, platform interoperability, and legal non-compliance. Empirical insights are drawn from the integration experiences of Eastern European SMEs using platforms such as PayPal, LiqPay, and Fondy. In addition, the article examines the transformative potential of blockchain-based systems, artificial intelligence, and decentralized finance technologies in reshaping payment infrastructures. It concludes that the integration of secure and innovative digital payment systems is not merely a technological upgrade, but a strategic necessity that directly supports economic resilience and long-term competitiveness in the digital economy.
Spot Bitcoin Exchange Traded Products (ETPs) are financial instruments enabling Bitcoin to be traded on traditional brokerage platforms, reducing the risks associated with direct Bitcoin exposure while addressing fraud and market manipulation concerns. This study examines the adoption of Spot Bitcoin ETPs, emphasizing the roles of financial and digital literacy, market dynamics, and regulatory frameworks in influencing individual investor behavior. Based on a survey of 428 U.S. respondents, financial literacy and early adopter traits were found to significantly enhance adoption likelihood (β = 0.458, p < 0.001). Government factors, such as compliance guidelines and tax policies, improved investor confidence and adoption rates (β = 0.409, p < 0.001). Market factors, including volatility and sentiment, played a notable yet secondary role (β = 0.34, p < 0.001). Institutional investment mediated the effects of regulatory and market dynamics on individual adoption, legitimizing Spot Bitcoin ETPs and fostering trust (β = 0.298, p < 0.001). The findings emphasize the need for clear regulations, robust disclosure requirements, and investor education to enhance adoption. Policymakers should focus on regulatory transparency to build investor confidence, while financial institutions can advance adoption by promoting financial and digital literacy. This study contributes to understanding how individual, market, and regulatory factors collectively drive the integration of regulated cryptocurrency products into mainstream finance.
Asif Ahmad Bhat, Rizal Mohd Nor, Md Amiruzzaman, Md. Rajibul Islam · 5 authors
Blockchain, such as Bitcoin and Ethereum, has received significant attention and widespread usage in recent years. However, blockchain scalability has emerged as a challenging issue. This article explores the existing scalability options for blockchain, which can be categorized into two groups: first layer solutions and second layer solutions. First layer solutions involve network modifications like altering block size, while second layer solutions encompass techniques applied outside of the blockchain. Ethereum, the second largest blockchain, utilizes the Ethereum Virtual Machine (EVM) for executing smart contracts on the blockchain. Currently, there are several EVM-compatible blockchains with noticeable differences. In this study, we evaluated multiple platforms for conducting business processes in trade finance. We considered both Layer 1 and Layer 2 blockchain solutions and examined variations in cost and performance (speed). Based on the evidence gathered in this study, we provide recommendations for system designers to consider when selecting a blockchain platform.
Phoebe Wong, Wilson K.S. Leung, Markus Vanharanta, Calvin Wan
Purpose Consumer adoption of decentralized blockchain solutions, such as decentralized finance (DeFi) applications, has demonstrated considerable technological promise. However, to benefit from DeFi applications, consumers must purchase and own cryptocurrencies, which is a potential obstacle to adopting decentralized blockchain technology. This study employed a push-pull-mooring model to examine factors influencing individuals’ willingness to use cryptocurrencies. In particular, how do push (i.e. diminishing value and pricing problems), pull (i.e. relative security and perceived value) and mooring (i.e. switching cost and personal innovativeness) factors shape individuals’ switching intentions. Design/methodology/approach About 300 valid responses were collected via an online survey and analyzed using partial least squares structural equation modeling (PLS-SEM). Findings The results confirm that the factors of push (i.e. pricing problem and low perceived value of traditional fiat money), pull (i.e. relative security and perceived value of cryptocurrency) and mooring (i.e. switching cost and personal innovativeness in technology) significantly impact switching intention to cryptocurrency. These findings offer key insights and implications for consumer adoption of cryptocurrencies as a precursor to participating in decentralized blockchain ecosystems. Originality/value Cryptocurrencies have been associated with numerous risk and security concerns, potentially holding back consumer adoption of DeFi financial solutions. Accordingly, this paper contributes to extending the knowledge of consumer adoption of cryptocurrency, switching from traditional money to using cryptocurrencies based on the push-pull-mooring theory (PPM). This allows for a detailed analysis of the critical factors that hinder or promote consumers' adoption of decentralized blockchain solutions.
Paula Ungureanu, Francesca Bellesia, Carlotta Cochis
This study investigates an emblematic case of innovation failure in blockchains as to understand how turbulent episodes of innovation failure shape the socio-technical organization of digital ecosystems. The Decentralized Autonomous Organization ( The DAO ) was an alternative model of organizational governance based on the Ethereum blockchain which registered one of the biggest successes in crowdfunding history and fell victim to one of the biggest hacks of the crypto world. Our empirical qualitative study combines interviews, archival and social media data to develop a grounded theory on how innovation failure was framed and dealt with in the Ethereum ecosystem. Our findings highlight the key role of blaming processes following innovation failures in digital ecosystems. Building on blame theory, we theorize about the interplay between human and technological blaming, and document a process called multi-distributed blaming whereby actors circle between multiple blames to an ecosystem's human and technological components, with multi-level (i.e., organizational and technological) consequences for the ecosystem. By adopting a socio-technical perspective, our findings contribute to blame theories, to the literature on digital ecosystems and to the scant research on blockchain organization. • We study The DAO blockchain experiment as a case of failure in digital ecosystems • We show the interplay between organizational and technological ecosystems’ elements • We introduce a multi-distributed blaming process in complex digital ecosystems • We show how blaming processes shape the consequences of an innovation failure • We show the consequences for the ecosystem’s organizational and technological players
This comprehensive article explores the rapid advancement of financial technologies (FinTech), highlighting their transformative role in enhancing transaction efficiency and security across global financial markets. The integration of artificial intelligence and machine learning in financial services has revolutionized fraud detection, credit assessment, and customer service delivery while presenting new implementation challenges. As digital payment systems and banking platforms continue to evolve from early electronic transfers to sophisticated mobile applications and neobanks, they reshape traditional financial models and expand access to previously underserved populations. The interplay between emerging technologies like distributed ledger systems, cloud computing, and biometric authentication creates a dynamic ecosystem where established institutions and innovative startups both compete and collaborate. Regulatory frameworks worldwide adapt to balance innovation facilitation against consumer protection, while specialized compliance technologies address increasingly complex requirements. Despite cybersecurity threats including data breaches and ransomware attacks, advanced security measures provide essential protection for the digital financial landscape.
The banking industry is experiencing a swift transformation fueled by technological advancements, including artificial intelligence (AI), blockchain, and automation, which are redefining financial services. The rise of the metaverse offers banks new avenues to boost customer engagement, provide immersive financial experiences, and create innovative digital products. This paper delves into the effects of technological innovation on banking, focusing on how the metaverse can be integrated into banking business models. It looks at the advantages of virtual banking branches, decentralized finance (DeFi), and tailored financial services, while also tackling significant challenges like cybersecurity threats, regulatory issues, and obstacles to consumer adoption. By analyzing existing literature and industry trends, this study underscores the metaverse's potential to transform banking, while stressing the importance of strong security measures and regulatory frameworks. The findings indicate that banks need to embrace a hybrid strategy that balances innovation with compliance and risk management to effectively navigate the changing digital landscape.
It is not uncommon for customers who intend to buy a used product in the secondary market to end up with a counterfeit because they have imperfect information about product authenticity . Blockchain is being piloted as a cutting-edge solution to this challenge. We use a two-period game to study the impact of utilizing blockchain to combat counterfeit products in the secondary market. We show that, even when the cost of implementing blockchain is negligible, the manufacturer can be better off incurring reputation damage than adopting blockchain. Further, the used goods reseller can be worse off from blockchain, even though that seller is not responsible for the implementation cost and benefits from blockchain’s signaling capability. We also demonstrate that the counterfeiter can benefit as a result of blockchain. When the quality of a fake product is sufficiently low, blockchain lowers consumer surplus . The winning situation of blockchain between the manufacturer, reseller, and customers is achieved only when the fake product is of intermediate quality. Blockchain can be powerful in situations when used products have a low perceived quality; otherwise, blockchain may not be ideal.
This article examines key emerging technologies transforming financial platform engineering. Platform engineering plays a pivotal role in building these systems by leveraging microservices architecture, event-driven systems, and cloud-native technologies. This article explores how modern platform engineering practices ensure low latency, high throughput, security, and regulatory compliance while integrating cutting-edge technologies like machine learning and blockchain. Machine learning has revolutionized fraud detection by enabling the analysis of vast transactional datasets to identify patterns invisible to human observers. Blockchain technology has gained adoption for transaction verification, providing distributed ledger systems that ensure security and immutability while enabling smart contracts that automate complex financial agreements. Real-time analytics capabilities allow financial institutions to process streaming data for immediate insights on market trends, customer behavior, and risk factors, supporting data-driven decision-making at market speed. Finally, API ecosystems have created interconnected networks of services that facilitate innovation through standardized interfaces, transforming how financial services are developed and consumed across core banking, partner integration, and public marketplace contexts.
Blockchain is a transformative technology with the potential to metamorphose industries, including supply chains and logistics, owing to its promise of efficiency, transparency and traceability. However, many blockchain projects have failed, requiring an analysis of the underlying reasons. This research focuses on the failure factors by studying the case of TradeLens, a supply chain platform using Blockchain to improve the visibility and coordination of international shipments. Applying Elinor Ostrom’s theory of the commons, we explored challenges related to governance, participation, interoperability, technological evolution and security. The study reveals that a lack of stakeholder engagement, unclear governance, and confidentiality concerns are major obstacles. Ostrom highlights the importance of participatory governance and a clear definition of boundaries and communities in the management of shared resources. To be successful, blockchain projects must adopt a holistic approach, with transparent governance, encourage collaboration, guarantee interoperability and invest in data security. By incorporating these recommendations and the lessons learned from past failures, future blockchain projects can improve their chances of success and make a positive contribution to the transformation of industries.
Abstract Pricing dynamics and volatility are accelerating the adoption of global cryptocurrency. Despite challenges, cryptocurrencies such as Bitcoin are gaining widespread acceptance, particularly in countries with unbanked populations, the lack of bank controls, and inflation. This study investigates the global patterns of cryptocurrency adoption using Generalized Linear Models and Spatial Autoregressive Models. This research introduces a novel perspective on global cryptocurrency adoption using spatial models. Our findings reveal that cryptocurrency adoption is significantly influenced by economic instability, infrastructure availability, and spatial dynamics, with higher adoption rates in countries with limited access to traditional financial systems.
While traditional behavioral finance theories such as the TRA, TPB, and TAM have provided substantial insights, their application to the rapidly evolving digital finance sector, particularly cryptocurrency markets , has been limited. Addressing this gap, our study integrates Digital Trust Theory (DTT) with these frameworks to examine the role of government support in Crypto Adoption (CA) within Vietnam's dynamic but unregulated market, a prominent emerging market in global crypto trading. Utilizing Structural Equation Modeling , we processed data collected from 255 participants using SmartPLS 4.0 to explore complex relationships among User Characteristics (UC), Technology Characteristics (TC), External Environment (EX), and their impacts on Crypto Trust (CT) and Crypto Adoption CA. This dataset, comprising responses from a diverse array of participants including tech-savvy youths, business professionals, and financial experts across various regions of Vietnam, provides a robust basis for understanding the nuanced influences on cryptocurrency behaviors. Our findings underscore the significant mediating roles of Crypto Trust and governmental regulation, highlighting the crucial influence of External Environment factors on trust dynamics. These insights not only contribute to academic discourse by refining traditional behavioral finance theories for the digital era but also offer practical guidance for fostering a sustainable cryptocurrency market, thereby supporting economic development and financial security in Vietnam.
Abstract Decentralized Autonomous Organizations (DAOs) are attracting interest from various disciplines, particularly business and economics, and computer science. However, much like the parable of the blind men and the elephant, where each observer sees only part of the phenomenon, DAO research has largely remained fragmented across disciplines, limiting a comprehensive understanding of the potential of DAOs. This paper investigates to which extent DAO scholarship has achieved meaningful interdisciplinary integration. We address this question through an analysis of knowledge flows between Business and Economics and Computer Science, using citation network analysis, topic modelling, and outlet analysis. We find that while DAOs generate vibrant interdisciplinary discourse, the interactions remain predominantly applied and case-driven, with limited theoretical integration. By mapping interdisciplinary exchanges, we highlight key gaps and opportunities for greater synthesis across fields. We argue that strengthening the alignment between organizational and technical insights is crucial for advancing DAO research and fostering a more cohesive interdisciplinary framework.
Abstract The integration of Artificial Intelligence (AI) and decentralized economies is redefining wealth distribution by enabling autonomous financial systems, AI-powered smart contracts, and decentralized governance models. AI enhances decentralized finance (DeFi) by optimizing liquidity management, predictive analytics, and risk assessment, making financial services more accessible and inclusive. Through AI-driven tokenized economies, self-sovereign identities (SSIs), and automated economic decision-making, individuals—especially unbanked populations—can participate in global wealth creation without traditional financial barriers. AI-powered Decentralized Autonomous Organizations (DAOs) are further revolutionizing financial governance by ensuring transparent, algorithmic decision-making and equitable wealth allocation. However, challenges such as AI bias, cybersecurity risks, regulatory uncertainties, and scalability limitations must be addressed to build sustainable AI-driven decentralized financial ecosystems. This chapter explores the intersection of AI, blockchain, and decentralized finance, offering insights into how AI is transforming digital trade, financial inclusion, and economic autonomy while shaping a more equitable, decentralized global economy. Keywords AI-driven economies, decentralized finance, DeFi, AI-powered smart contracts, wealth distribution, DAOs, blockchain governance, tokenized economies, financial inclusion, AI in economic decision-making, self-sovereign identities, decentralized marketplaces, economic autonomy, AI-driven wealth redistribution, predictive analytics in finance, AI in decentralized governance.
K. Kajol, Srijanani Devarakonda, Ranjit Singh, H. Kent Baker
Abstract Cryptocurrency has gained popularity as a potential new global payment method. It has the potential to be faster, cheaper, and more secure than existing payment networks, making it a game-changer in the global economy. However, more research is needed to identify the factors driving cryptocurrency adoption and understand its impact. We use social network analysis (SNA) to identify the influencing factors and reveal the impact of each on cryptocurrency adoption. Our analysis initially revealed 44 influential factors, which were later reduced to 25 factors, each exerting a different influence. Based on the SNA, we classify these factors into highly, moderately, and least influential categories. Discomfort and optimism are the most influential determinants of adoption. Moderately influential factors include trust, risk, relative advantage, social influence, and perceived behavioral control. Price/value, facilitating conditions, compatibility, and usefulness are the least influential. The factors affecting cryptocurrency adoption are interdependent. Our findings can help policymakers understand the factors influencing cryptocurrency adoption and aid in developing appropriate legal frameworks for cryptocurrency use.
Decentralized Autonomous Organizations (DAOs) signify a groundbreaking approach to Internet-based management, enabled by blockchain technology and cryptocurrencies, and are viewed as fundamental elements of the Web3 ecosystem. In this study, we delve into the concept of DAOs by thoroughly investigating their underlying structure, ideology, and operational principles. Furthermore, we present a novel DAO framework derived from a technical and organizational assessment and provide an overview of cutting-edge DAO tools currently available. This research enables the swift implementation of DAO creation or transformation customized to an organization’s specific stage. Additionally, we recognize current challenges and shortcomings in existing DAOs and propose areas for future exploration.