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        <title>Frontiers in Blockchain | Financial Blockchain section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/blockchain/sections/financial-blockchain</link>
        <description>RSS Feed for Financial Blockchain section in the Frontiers in Blockchain journal | New and Recent Articles</description>
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        <pubDate>2026-05-13T10:55:03.577+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2026.1799056</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2026.1799056</link>
        <title><![CDATA[RegTech-enabled governance of sanctions-safe enterprise ecosystems in post-conflict reconstruction]]></title>
        <pubdate>2026-05-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Adel Mohammed Al Dulimy</author><author>Kawar Mohammed Mousa</author><author>Dildar Haydar Ahmed</author>
        <description><![CDATA[Post-conflict reconstruction relies heavily on private enterprises to bring back employment, rebuild supply networks, and reconnect damaged economies. These environments are strongly affected by sanctions pressure, weak rule enforcement, and high levels of corruption risk. Firms working under such conditions often experience limited access to finance and markets, while uncertainty around compliance and excessive risk avoidance reduce the space for lawful business activity. Existing studies on regulatory technology mainly present it as a firm-level compliance tool, giving little attention to its role in shaping coordination across wider enterprise ecosystems in post-conflict and sanctions-affected settings. This lack of focus creates uncertainty about whether regulatory technology helps legitimate economic recovery or instead strengthens exclusion and informality. The motivation for this study comes from the need to explain how compliance technology’s function when public authority is fragmented and legal boundaries remain unstable. The study develops a theory-based framework explaining how RegTech-supported governance may, under specified conditions, enable sanctions-safe enterprise ecosystems during post-conflict reconstruction. Methodologically, the paper uses a structured integrative review combined with interpretive theory synthesis to connect literature on RegTech, sanctions compliance, institutional voids, supply chain governance, and algorithmic accountability. The review is positioned as a structured integrative and interpretive review rather than a full systematic review. Sources were selected purposively through explicit inclusion and exclusion criteria tied to conceptual relevance, scholarly quality, and direct contribution to framework building, and higher-order categories were retained only after iterative comparison across the four literature streams. Regulatory technology is viewed as a governance arrangement that organizes relations between firms, banks, insurers, logistics actors, buyers, and regulators. The analysis identifies the theoretical conditions under which such governance may support verifiable integrity, adaptive compliance, and access to formal markets, while also identifying risks linked to exclusion, symbolic compliance, and concentration of control over compliance processes. This framework contributes to improving understanding of enterprise coordination and governance under constrained legal conditions and offers a basis for future analytical and empirical research.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2026.1797659</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2026.1797659</link>
        <title><![CDATA[Stablecoins: financial risks, vulnerabilities, and implications for the future internet — a systematic review]]></title>
        <pubdate>2026-05-08T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Eduardo Ramiro Dávalos-Mayorga</author><author>Mariela de los Ángeles Hidalgo-Mayorga</author><author>Andrea Margarita Garrido-Patrel</author><author>Jessy Gabriela Vega-Flor</author><author>Daysi Graciela Astudillo-Condo</author>
        <description><![CDATA[IntroductionThe evolution of the Internet toward increasingly decentralized infrastructures is reshaping economic, financial, and social interactions. In this context, stablecoins have gained relevance in digital transactions by offering a lower-volatility medium of exchange through fiat-backed mechanisms within the cryptoasset ecosystem. However, they also introduce financial and regulatory risks that may affect their stability and trustworthiness.MethodsThis study conducted a systematic literature review on stablecoins using the PRISMA methodology. A total of 122 primary studies indexed in Scopus and Web of Science were selected and analyzed to identify documented financial risks, regulatory vulnerabilities, and their implications for the future of the Internet.ResultsThe findings show that fiat-backed stablecoins, particularly USDT and USDC, are the most frequently analyzed in the literature, followed by crypto-collateralized and algorithmic stablecoins. The most recurrent risks identified include market and liquidity risks, credit risks, and regulatory gaps linked to insufficient transparency and supervision.DiscussionThe results indicate that the growing integration of stablecoins into digital financial infrastructures could reinforce their relevance in future Internet environments, but also increase systemic vulnerabilities if oversight remains fragmented. Although the expansion of stablecoin use appears likely, clear and coordinated regulatory frameworks are needed to strengthen the stability, trust, and resilience of future digital infrastructures.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2026.1767169</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2026.1767169</link>
        <title><![CDATA[The impact of bank size on blockchain technology adoption: empirical evidence from Nigerian deposit money banks]]></title>
        <pubdate>2026-04-15T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Dolapo Faith Sule</author>
        <description><![CDATA[Evidence from developed countries has shown that larger banks usually have more financial and technical resources to finance and implement blockchain technology more effectively, compared to smaller banks. Even though interest in blockchain is rising in the Nigerian banking sector, there is little empirical research on how bank size affects blockchain adoption. In view of this gap, this study examines the influence of bank size on the adoption of blockchain technology within Nigerian Deposit Money Banks (DMBs). A longitudinal research design was used, and secondary data were extracted from the published annual reports of the banks from 2015 to 2024. Both descriptive and inferential statistics were used to present the findings of the study. Findings revealed that the size of banks has a positive and significant effect (coeff = 0.124, p = 0.000) on blockchain technology adoption of banks in Nigeria. This demonstrates that larger banks tend to adopt blockchain technology compared to smaller ones. Similarly, return on assets (ROA) has a positive and significant impact (coeff = 0.133, p = 0.0162) on the extent of blockchain adoption of the examined banks. Because ROA was used to proxy the profitability of the banks, this result suggests that an increase in the profitability of banks is an advantage in terms of blockchain adoption. A negative relationship exists between leverage and blockchain technology adoption (−0.0071) as anticipated, but the impact is not significant (p = 0.5731). Lastly, this study found that age has a positive and significant (coeff = 0.0158, p = 0.016) impact on blockchain technology adoption among Nigerian banks, as older banks are investing in this technology more than younger ones. The study concludes that larger banks demonstrate a higher tendency to adopt blockchain technology due to greater resource availability, enhanced technical capacity, and stronger strategic incentives. This study, therefore, concludes that policymakers and industry players should provide supportive policies and programmes to promote blockchain adoption across all bank sizes. Partnerships between smaller banks and fintech firms can help bridge resource gaps, allowing smaller banks to benefit from fintech expertise and innovations without incurring full development costs.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2026.1743242</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2026.1743242</link>
        <title><![CDATA[The impact of blockchain technology on corporate governance: empirical evidence on American firms]]></title>
        <pubdate>2026-04-10T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Hanene Ezzine</author><author>Ines Abdelkafi</author><author>Aida Smaoui</author><author>Kwadria Takwa</author>
        <description><![CDATA[Technological innovation has generated an increasing number of technologies that have transformed financial services and corporate governance structures. Among these innovations, blockchain technology represents a decentralized and transparent system capable of reshaping governance mechanisms. This study examines the relationship between blockchain technology (BT) and corporate governance (CG) using panel data from 35 U.S. firms over the period 2010–2021. The empirical analysis employs Ordinary Least Squares (OLS) and fixed-effects regression models, with the Hausman test guiding model selection. The findings reveal that blockchain adoption is significantly and positively associated with corporate governance, with larger firms being more likely to adopt such technology, thereby enhancing governance quality. In addition, corporate performance is found to have a positive and significant relationship with governance, while leverage, research intensity, and sales size do not show significant effects. These results provide important theoretical and empirical contributions by highlighting blockchain as a strategic tool for improving transparency, accountability, and trust in corporate operations. The study also offers practical implications for policymakers and regulators to develop supportive frameworks that encourage blockchain adoption while ensuring data protection, as well as for corporate decision-makers seeking to enhance governance efficiency, reduce agency conflicts, and promote long-term sustainability in an increasingly digitalized economy.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2026.1744921</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2026.1744921</link>
        <title><![CDATA[Clustering cryptocurrencies market through the innovative DM-MSTP method]]></title>
        <pubdate>2026-04-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Souhail Dhouib</author><author>Hanene Ezzine</author><author>Mouna Abdelhedi</author><author>Siwar Ellouz</author><author>Habib Chabchoub</author>
        <description><![CDATA[Cryptocurrencies illustrate rapid technological transformation, market diversification, and growing adoption by investors. Clustering cryptocurrencies into homogeneous groups enables investors and portfolio managers to better understand and control risk transmission mechanisms and market co-movements, ultimately optimizing portfolio construction and enhancing risk-return management. This paper introduces a new Artificial Intelligence method, Dhouib-Matrix-MSTP (DM-MSTP), to cluster the cryptocurrencies market. At first, the correlation matrix between the whole thirty-five cryptocurrencies is converted as a distance matrix. At second, the DM-MSTP method is developed to present the minimum spanning tree joining the all thirty-five cryptocurrencies (as a topological representation). Finally and to help the decision-maker, the minimum spanning tree represented by DM-MSTP can be used to cluster the cryptocurrencies by groups.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1722267</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1722267</link>
        <title><![CDATA[Analysis of the psychological path of merchants’ use of central bank digital currency: evidence from digital RMB]]></title>
        <pubdate>2026-01-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xiaoling Zhu</author><author>Jianming Zhu</author>
        <description><![CDATA[Central Bank Digital Currency (CBDC) is emerging to disrupt existing payment monopolies and enhance digital-real economies integration, yet adoption barriers persist. This study investigates merchants’ willingness to adopt digital RMB(e-CNY) using the Technology-Organization-Environment (TOE) framework integrated with network effects. This study constructs a comprehensive model of e-CNY adoption, examining three key dimensions: technological adaptation, organizational support and environmental push, Structural Equation Modeling (SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA) are applied to explore the complex interactions between these factors and merchants’ usage behavior. The findings reveal that high-frequency usage of e-CNY by merchants requires the synergistic interaction of technological, organizational and environmental factors, None of the individual factors—such as perceived comparative advantage, perceived ease of use, compatibility, management support, organizational resource and capability, policy support, or network effects—are necessary condition on their own. Three distinct paths to high-frequency e-CNY usage are identified: technology-enviroment driven, all-factor synergy and technology-driven, while a single path, the environmentally-deficient type, explains low-frequency usage. Based on these findings, the study proposes targeted policy recommendations to promot e-CNY adoption: enhance system compatibility, improve policy Incentives, develop network effects, and establish a feedback loop between policy–technology–behavior.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1662698</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1662698</link>
        <title><![CDATA[From accounting information to distributed financial intelligence: the road to blockchain]]></title>
        <pubdate>2025-12-04T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Abdessamad Snoussi Amouri</author>
        <description><![CDATA[This comprehensive review examines the evolutionary trajectory of financial information systems from the 1670s to the present day, analyzing how technological innovations have fundamentally transformed financial reporting, auditing practices, and information accessibility. Through a bibliometric and conceptual analysis of seminal literature, this study identifies key technological inflection points including the emergence of structured bookkeeping systems, the institutionalization of financial publicity through the 1867 law, the development of sophisticated financial communication tools, and the recent integration of blockchain technology and data analysis capabilities. The review demonstrates that each technological wave has progressively enhanced data accuracy, real-time reporting capabilities, and audit efficiency while simultaneously introducing new challenges related to data security, regulatory compliance, and technological adoption barriers. Contemporary developments in distributed ledger technology and advanced analytics represent a paradigm shift toward autonomous financial reporting systems with unprecedented transparency and verification capabilities. The findings suggest that future financial information systems will be characterized by increased automation, enhanced predictive analytics, and seamless integration of blockchain-based audit trails. This evolution has profound implications for accounting professionals, regulatory frameworks, and corporate governance structures, necessitating adaptive strategies for stakeholder education and regulatory modernization.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1667848</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1667848</link>
        <title><![CDATA[Blockchain technology in the banking sector: a content analysis]]></title>
        <pubdate>2025-12-03T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Rafsun Sheikh</author><author>Shah J. Miah</author><author>James Skinner</author><author>Peter Cook</author>
        <description><![CDATA[IntroductionApplications of Blockchain technology (BT) offer transformative innovations in organizations. Because of its effectiveness as an intermediary-free platform, researchers consider this technological platform to adopt disruptive developments. In banking sector, BT has been adopted massively for significant disruptions, but their landscape of studies to develop general understanding are still at its emergent stage, therefore it is imperative to define existing landscape of BT for greater benefits in the research community. This paper examines existing studies of BT adoption in banking sector, with a special focus to reveal on how BT architectures can bring disruptions.MethodsThe analysis has scrutizised 214 relevant articles from peer-reviewed journals across four vital databases (coverage from 2021 to 15 July 2025), through an intelligent review that represents a combined iterative approach adopting both methods of Latent Dirichlet Allocation (LDA) topic modelling and content analysis.ResultsFrom an information systems viewpoint, the study divided the findings into three phases: pre-adoption, adoption, and post-adoption, highlighting blockchain’s dimensions, applications in banking, the current banking landscape, and the challenges that inhibit widespread adoption of BT in banking systems.Discussion/ConclusionThe synthesized findings indicate interesting directions for future research.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1491609</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1491609</link>
        <title><![CDATA[Factors leading to the adoption of blockchain technology in financial reporting]]></title>
        <pubdate>2025-08-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Shaiku Shahida Saheb</author><author>Venkata Krishna Reddy Chinnapareddy</author><author>Divya Devalla</author><author>Sirisha Charugulla</author><author>Naga Bhavani Chakka</author><author>Kunchakara Raja Sekhar</author>
        <description><![CDATA[IntroductionThe initiation of blockchain has brought about revolutionary changes across multiple industries, including finance. This study analyzes published research related to existing financial reporting and audit practices relevant to the implementation and efficacy of blockchain technology. The decentralized, immutable, and transparent blockchain ledger is set to change traditional practices by enhancing accuracy, reducing fraud, and ensuring real-time data accessibility.MethodsThis study identifies and measures the factors influencing blockchain implementation in specific auditing areas, particularly financial reporting. This research analyzed accounting professionals’ awareness of information and communication technologies (ICT), data security, data privacy, and training among accounting professionals. Hence, the study conducted a survey that targeted accounting practitioners, chartered accountants, financial analysts, and auditors with the aim of analyzing and testing hypothesized relationships using structural equation modeling in AMOS software.ResultsIt presents an empirical analysis that examines the extent to which these factors influence blockchain technology implementation in financial reporting and auditing. We found a significant influence of blockchain technology use on the practices of financial reporting and auditing, leading to enhanced accuracy and transparency, reduced audit time, and increased trust in financial reports. Key findings indicate that while blockchain technology offers significant advantages, widespread implementation faces hurdles such as regulatory compliance, technological integration, and stakeholder acceptance.DiscussionResearchers can use these findings to determine potential areas for further research. In addition, this research provides valuable information to practitioners in the field, academics, industry professionals, and policymakers considering the integration of blockchain technology with financial reporting and auditing.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1627769</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1627769</link>
        <title><![CDATA[Short-term cryptocurrency price forecasting based on news headline analysis]]></title>
        <pubdate>2025-07-30T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Vladimir Dikovitsky</author>
        <description><![CDATA[IntroductionThis article presents a method for short-term cryptocurrency price forecasting utilizing news headlines.MethodsThe study analyzes the impact of news on asset prices within one hour of publication, employing machine learning-based classification with BERT and GPT models, as well as GloVe vector representations.ResultsThe proposed cascade classifier model enhances prediction accuracy by initially assessing the strength of a news item and subsequently forecasting the direction of price movement. Experimental results demonstrate the effectiveness of the developed classification model.DiscussionThe model achieves an accuracy of 79% in predicting price movements, confirming the potential of leveraging news headlines to improve short-term forecasts in cryptocurrency markets.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1613354</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1613354</link>
        <title><![CDATA[A bibliometric analysis of financial management from Web of Science (WoS) database]]></title>
        <pubdate>2025-07-22T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Wan Nurulasiah Wan Mustapa</author><author>Nurul Labanihuda Abdull Rahman</author><author>Ahmad Zulhusny Rozali</author><author>Hafizul Fahri Hanafi</author><author>Rabeatul Husna Abdull Rahman</author><author>Fatin Syazwani Safiyuddin</author>
        <description><![CDATA[PurposeThis study aims to present a comprehensive knowledge mapping and an in-depth analysis of financial management research to understand better global trends and direction in this filed that emerged between 2017 and 2025.Design/methodology/approachThis study presents a visual analysis of 759 research articles listed in the Web of Science (WoS) databases between the years of 2017 and 2025 use financial management as keyword. The knowledge mapping based on VOSviewer presents the current research status, which contains the analysis of the collaboration network, co-citation network, references with citation bursts and keyword analysis.FindingsThe result that China and United States are the most prominent countries in exploring the financial management. University of California System is the most prominent instituition. Higgin Stephen, Zapounidis Constantin, Vochozka Marek and Marouskova Anne are the most prolific authors in this field.Originality/ValueThis study among the pioneers to shed lights on the current research status of financial management using the bibliometric method and the newest data. This study also suggests that collaborations between scholars and institutions require to be enhanced for better management of financial management and to contribute to sustainable development.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1588837</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1588837</link>
        <title><![CDATA[Has the fan economy affected the price of non-fungible tokens (NFTs)?]]></title>
        <pubdate>2025-06-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>JinYuan Zhang</author><author>Qun Cao</author><author>RiGuang Wen</author>
        <description><![CDATA[In recent years, with the rapid development of blockchain technology, the emergence of Non-Fungible Tokens (NFTs) has become a disruptive and innovative application that has attracted widespread attention and triggered frenzy. This study examines the momentous but may be easily neglected price factor in the NFT market. Using hand-collected daily data on the number of followers of 150 NFTs on Discord from April 18 to 15 October 2022, empirical results find that the fan economy on social media platforms has a positive impact on NFT pricing. Furthermore, this impact has a certain time-lagged effect. To ensure the robustness of the research, this paper also collects Twitter followers as an alternative indicator to measure the fan economy, and all the empirical results of the Twitter platform are significant. The findings of this paper are of great significance for studying the factors affecting the price of NFTs and provide certain assistance for the decision-making of NFT issuers and investors.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1551970</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1551970</link>
        <title><![CDATA[Analyzing the impact of blockchain technology on banking transaction costs using the random forest method]]></title>
        <pubdate>2025-04-30T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ibrahim Elsiddig Ahmed</author>
        <description><![CDATA[The rapid advancement of Blockchain technology has significantly benefited banks with more efficiency, highly secured activities, compliance, fraud prevention, and risk control. All previous studies focused on stakeholders’ perceptions and ignored measuring the value of blockchain adoption. This study addresses this gap by quantifying and rating blockchain’s impact on reducing banking transaction costs. The data has been collected from 17 of 20 United Arab Emirates national banks over 2017–2023 and analyzed using the random forest method to assess the association between blockchain adoption and four transaction cost elements. The random forest technique accurately quantifies and classifies blockchain’s role in cost reduction. The findings indicate that blockchain adoption significantly reduces processing, transfer, and fraud costs. This study has a visible practical and theoretical contribution as it shifts focus to quantifying blockchain’s impact, providing useful insights for managers, and suggesting future research across different sectors and countries.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1463633</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1463633</link>
        <title><![CDATA[Blockchain and financial performance: empirical evidence from major Australian banks]]></title>
        <pubdate>2025-04-28T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Rula Almadadha</author>
        <description><![CDATA[This study investigates the impact of blockchain technology adoption on the financial performance of major Australian banks, specifically Commonwealth Bank, Westpac, and ANZ, from 2016 to 2023. Using a descriptive research design and secondary data from annual reports, financial performance was assessed through Return on Assets (ROA) and Return on Equity (ROE). The findings indicate a positive relationship between blockchain adoption and improved financial performance, suggesting gains in efficiency, cost management, and profitability. The study focuses on the Australian banking sector within its unique regulatory and market context. The originality of this research lies in its localized empirical approach, providing context-specific evidence of blockchain’s strategic contribution to financial performance in banking.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1549729</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1549729</link>
        <title><![CDATA[Auditing in the blockchain: a literature review]]></title>
        <pubdate>2025-04-25T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Yunfan Zhang</author><author>Zifei Ma</author><author>Jiaming Meng</author>
        <description><![CDATA[This investigation evaluates blockchain’s dichotomous effects on auditing through systematic literature synthesis and comparative case studies of Big Four accounting firms. Empirical evidence demonstrates that distributed ledger technology enhances audit efficacy through automated transaction authentication (exemplified by PwC’s 90% temporal reduction in reconciliation protocols) and machine learning-powered anomaly detection algorithms, enabling comprehensive audit sampling and continuous monitoring capabilities. Persistent technical risks remain, notably 51% consensus vulnerabilities, self-executing contract exposures, and throughput constraints in decentralized architectures, which collectively compromise system integrity. Furthermore, regulatory lacunae in cross-jurisdictional compliance frameworks and practitioners' competency deficits in cryptographic validation techniques substantially impede technological assimilation. The analysis substantiates three critical imperatives: (1) harmonized regulatory frameworks with Turing-complete compliance protocols, (2) cross-disciplinary human capital development initiatives, and (3) applied research on heterogeneous system interoperability. Strategic mitigation of these implementation barriers could transition auditing toward cryptographic trust ecosystems, contingent upon synergistic collaboration between regulatory bodies establishing adaptive governance models, corporate entities developing hybrid audit architectures, and academic institutions advancing validation methodologies.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2025.1530186</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2025.1530186</link>
        <title><![CDATA[What keeps them invested? Social identity and group formation in blockchain]]></title>
        <pubdate>2025-03-25T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Annika Aebli</author><author>Fabienne Silberstein-Bamford</author><author>Joshua S. Bamford</author>
        <description><![CDATA[Cryptocurrency technologies have spawned a vast network of millions of users. One notable aspect of crypto spaces is the emergence of vibrant communities that form around specific projects, with supporters gathering on interactive online platforms and demonstrating a strong sense of collective identity. Despite its pseudonymous and “trustless” nature, crypto has become an instrument for establishing social ties that seem remarkably robust. However, the factors that influence establishing social bonds in highly dispersed, pseudonymous crypto spaces with minimal in-person interaction have remained largely unexplored so far. Using a mixed-method approach, this study examines the factors that shape community formation in the crypto space. In an initial step, based on 26 semi-structured, qualitative interviews, we explore factors that may influence group formation in crypto spaces. In a second step, we develop a quantitative questionnaire using items generated from these interviews to measure the effect of the identified factors on group formation, using a sample of 111 crypto users. Group formation is operationalised as an identity fusion scale, reflecting the tendency for individuals to merge their sense of self with that of a social group to which they belong. The results show that social reward, a promising outlook, and participant’s investment level predict identity fusion with crypto communities. This study contributes to the understanding of social bonding processes in pseudonymous crypto spaces.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2024.1492739</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2024.1492739</link>
        <title><![CDATA[The JPEX scandal: a test case for Hong Kong’s new cryptocurrency regulatory regime or is it still the wild west?]]></title>
        <pubdate>2025-02-12T00:00:00Z</pubdate>
        <category>Policy and Practice Reviews</category>
        <author>Noble Po Kan Lo</author><author>Tony Hon Yiu Lau</author>
        <description><![CDATA[This paper investigates the challenges and effectiveness of Hong Kong’s regulatory framework for digital assets and cryptocurrencies in the wake of the JPEX Scandal. The scandal serves as the first significant test of the city’s regulatory measures aimed at protecting consumers and investors from fraudulent activities within the crypto space. The study delves into the background and development of blockchain technology and cryptocurrencies, highlighting their rapid evolution and the associated regulatory challenges. By examining the JPEX case, the paper evaluates the robustness of Hong Kong’s regulatory tools and their ability to balance consumer protection with fostering innovation. The paper employs a doctrinal legal methodology, supplemented by a case study of JPEX, to assess whether the current regulatory framework is adequate or if further adjustments are required. The findings suggest that while significant strides have been made, certain gaps remain, particularly concerning decentralised finance (DeFi) and decentralised autonomous organisations (DAOs). The paper concludes with recommendations for enhancing regulatory clarity and ensuring the sustainable growth of Hong Kong as a global crypto hub.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2024.1220031</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2024.1220031</link>
        <title><![CDATA[The second extended model of consumer trust in cryptocurrency payments, CRYPTOTRUST 2]]></title>
        <pubdate>2024-08-16T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Alex Zarifis</author><author>Shixuan Fu</author>
        <description><![CDATA[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.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2024.1346410</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2024.1346410</link>
        <title><![CDATA[A comparative analysis of Silverkite and inter-dependent deep learning models for bitcoin price prediction]]></title>
        <pubdate>2024-05-28T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Nrusingha Tripathy</author><author>Subrat Kumar Nayak</author><author>Sashikanta Prusty</author>
        <description><![CDATA[These days, there is a lot of demand for cryptocurrencies, and investors are essentially investing in them. The fact that there are already over 6,000 cryptocurrencies in use worldwide because of this, investors with regular incomes put money into promising cryptocurrencies that have low market values. Accurate pricing forecasting is necessary to build profitable trading strategies because of the unique characteristics and volatility of cryptocurrencies. For consistent forecasting accuracy in an unknown price range, a variation point detection technique is employed. Due to its bidirectional nature, a Bi-LSTM appropriate for recording long-term dependencies in data that is sequential. Accurate forecasting in the cryptocurrency space depends on identifying these connections, since values are subject to change over time due to a variety of causes. In this work, we employ four deep learning-based models that are LSTM, FB-Prophet, LSTM-GRU and Bidirectional-LSTM(Bi-LSTM) and these four models are compared with Silverkite. Silverkite is the main algorithm of the Python library Graykite by LinkedIn. Using historical bitcoin data from 2012 to 2021, we utilized to analyse the models’ mean absolute error (MAE) and root mean square error (RMSE). The Bi-LSTM model performs better than others, with a mean absolute error (MAE) of 0.633 and a root mean square error (RMSE) of 0.815. The conclusion has significant ramifications for bitcoin investors and industry experts.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbloc.2023.1276233</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbloc.2023.1276233</link>
        <title><![CDATA[Smart contract life-cycle management: an engineering framework for the generation of robust and verifiable smart contracts]]></title>
        <pubdate>2024-01-08T00:00:00Z</pubdate>
        <category>Methods</category>
        <author>Iqra Mustafa</author><author>Alan McGibney</author><author>Susan Rea</author>
        <description><![CDATA[The concept of smart contracts (SCs) is becoming more prevalent, and their application is gaining traction across many diverse scenarios. However, producing poorly constructed contracts carries significant risks, including the potential for substantial financial loss, a lack of trust in the technology, and the risk of exposure to cyber-attacks. Several tools exist to assist in developing SCs, but their limited functionality increases development complexity. Expert knowledge is required to ensure contract reliability, resilience, and scalability. To overcome these risks and challenges, tools and services based on modeling and formal techniques are required that offer a robust methodology for SC verification and life-cycle management. This study proposes an engineering framework for the generation of a robust and verifiable smart contract (GRV-SC) framework that covers the entire SC life-cycle from design to deployment stages. It adopts SC modeling and automated formal verification methodologies to detect security vulnerabilities and improve resilience, extensibility, and code optimization to mitigate risks associated with SC development. Initially, the framework includes the implementation of a formal approach, using colored Petri nets (CPNs), to model cross-platform Digital Asset Modeling Language (DAML) SCs. It also incorporates a specialized type safety dynamic verifier, which is designed to detect and address new vulnerabilities that can arise in DAML contracts, such as access control and insecure direct object reference (Idor) vulnerabilities. The proposed GRV-SC framework provides a holistic approach to SC life-cycle management and aims to enhance the security, reliability, and adoption of SCs.]]></description>
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