Search Results (799)

This research examines the emerging ecosystem of models that are developed and run across a distributed network of computers called decentralized artificial intelligence. The focus is to understand these models in the healthcare context and with a focus on their core components: technologies, governance frameworks, and real-world applications. A systematic literature review was conducted, analyzing peer-reviewed studies from PubMed, Scopus, and Web of Science to map the current landscape of the field. The primary objective was to synthesize the current research on decentralized approaches in healthcare, including core approaches like federated learning and blockchain-based AI models, as well as emerging concepts such as agentic AI blockchain-based AI models and DAOs, to comprehend their application in clinical and operational settings. The research assesses the maturity of these implementations, ranging from pilot programs to large-scale organizational settings. It also identified the key computational and technical methods and platforms used and the key benefits and challenges influencing their adoption. The findings underscore the pivotal role of the decentralized paradigm in addressing the fundamental limitations of traditional AI, including data privacy, trust, institutional silos, and regulatory complexity. Insights are also offered for healthcare providers, technology developers, researchers, and policymakers aiming to navigate and leverage decentralized AI to build more equitable, efficient, and collaborative healthcare systems. Full article

This study synthesizes peer-reviewed literature to examine how blockchain technology supports Automated Project Governance (APG), focusing on the organizational, institutional, and human conditions under which potential governance contribution is realized. A systematic literature review was conducted in accordance with PRISMA 2020 guidelines, yielding twenty-one empirically and conceptually grounded studies. Screening reliability was strengthened through independent dual screening at the full-text eligibility stage (inter-rater κ = 0.81). Seven blockchain-enabled governance mechanisms are synthesized and comparatively assessed in terms of evidentiary support and research maturity, suggesting that blockchain’s decentralized and immutable architecture may support transparency, accountability, and coordination when embedded within appropriate governance arrangements, but these benefits do not arise automatically from technological adoption. The synthesis further identifies enabling conditions, including stakeholder acceptance, organizational governance readiness, and institutional alignment, and maps explicit research gaps for each mechanism to guide future empirical inquiry. By grounding the synthesis in the Technology Acceptance Model and Institutional Theory, the study provides a literature-derived, socio-technical framework for understanding blockchain adoption in APG and offers governance-oriented insights for organizations and policymakers. Full article

Digital transformation is reshaping construction asset compliance, but fragmented information and weak evidence trails still constrain effective management. This systematic grey literature review (2014–2025) identifies technologies supporting asset management and compliance assurance and compares adoption maturity across the United Kingdom (UK), the United States (US), Singapore, and the Gulf Cooperation Council (GCC). Using multi-channel search strategies and the AACODS appraisal (Authority, Accuracy, Coverage, Objectivity, Date, Significance), 131 records were identified; 92 full texts reviewed; 82 eligible; and 43 sources retained. Coding identified a recurring five-technology “core digital stack”: Building Information Modelling (BIM), Digital Twins (DT), Internet of Things (IoT), Artificial Intelligence/Machine Learning (AI/ML), and Blockchain (BC). Within the retained corpus, BIM and AI/ML were the most frequently referenced technologies, whereas BC was referenced more selectively and discussed mainly for tamper-evident traceability. DT and IoT were typically discussed alongside BIM, while IoT also frequently co-occurred with AI/ML in analytics-led compliance workflows. A (Region × Technology) maturity matrix suggests higher, policy-led maturity where mandates and audit-ready information align with national frameworks (UK, Singapore), and more uneven, project-led adoption in decentralised contexts (US, GCC). Overall, the findings emphasise that effective compliance relies on integrated, evidence-focused digital stacks supported by standardised information governance rather than isolated tools. Full article

The sustainable management of waste is a significant problem facing humanity, especially in regions with low recycling rates and a lack of infrastructure. For example, Romania has a recycling rate of only 12%, a long way from meeting the European Union’s target of 42%. This article proposes a framework for sustainable waste management, called CETHTB-Chain, by combining the circular economy, Triple Helix Twins collaboration, and blockchain technology. To test the viability of this framework, a Monte Carlo simulation with 10,000 iterations and system dynamics modelling with a 10-year simulation period was conducted. The Monte Carlo simulation revealed that CETHTB-Chain can improve recycling rates by a mean of 45.6% (95% CI, 38.6–52.6%), material recovery rates by 62.7% (95% CI, 54.4–70.0%), cost savings by 18.53 euros per ton, and CO₂ reduction by 629 kg per ton of waste. System dynamics modelling revealed that CETHTB-Chain is feasible for implementation, following S-curve growth, with recycling rates of 38.6% in 7–10 years. Sensitivity analysis revealed that blockchain technology adoption (ρ = 0.612) and citizen participation (ρ = 0.379) were key drivers of CETHTB-Chain performance. By combining Monte Carlo simulation and system dynamics modelling, this article has shown CETHTB-Chain to be a statistically significant and temporally feasible blueprint for transitioning from a linear economy to a circular economy in waste management. By engaging academia, industry, and government in a collaborative relationship facilitated by blockchain technology, CETHTB-Chain has provided valuable evidence for strategic planning in waste management in the European Union. Full article

Grounded in the knowledge-based view and the emerging logic of digital knowledge governance, this study investigates how blockchain adoption strategies reshape inter-firm knowledge-sharing and sustainable innovation. A game theory and decision-optimization model is developed to capture the interplay among blockchain cost, knowledge trust, and collaboration incentives under four adoption scenarios between knowledge creators and users. The results uncover a double-threshold mechanism: when blockchain costs are high, the technology suppresses collaboration by increasing coordination frictions; yet as costs fall below a critical level, blockchain shifts from a trust-reinforcing tool to a catalyst for co-creation efficiency and joint environmental performance. Interestingly, partial adoption can yield a trust paradox-enhancing local reliability but diminish system-wide innovation synergy. As adoption diffuses, the equilibrium dynamically evolves from non-adoption to asymmetry and eventually bilateral digital trust, producing higher social welfare and resilience. Among asymmetric modes, creator-led adoption consistently outperforms user-led adoption, underscoring the strategic value of upstream knowledge transparency. The findings extend the knowledge-based view to the context of digital trust architecture and provide actionable insights for policymakers and firms seeking to build trust-based, knowledge-driven, and digitally sustainable innovation ecosystems. Full article

COVID-19 supply-chain disruptions clearly illustrated deficiencies in central coordination. Meaningful improvement in the central coordination of supply-chains will require transparency into resource stocks and flows. The latest technology, like 5G, blockchain and IoT, are primed to provide this transparency for collaboration during crises. This will improve agility and service, reduce inventory and enable reverse logistics benefits. Furthermore, transparent global networks can allow a more inclusive and equitable distribution of critical supply, yielding quicker resolution during crises. However, many challenges exist that suggest further delay in the adoption of a holistic and transparent digitalized supply chain. This paper explores the most recent pandemic with attention to the limiting factors at all levels of emergent global crisis response. Full article

The agri-food sector is undergoing a profound transformation driven by the combined pressures of climate change, resource scarcity, policy frameworks, and evolving consumer expectations. In this context, digital and green technologies have emerged as key enablers of more sustainable, transparent, and resilient food systems. This review provides a comprehensive overview of the conceptual foundations, technological drivers, and policy frameworks shaping the digital and green transition of the agri-food sector. Digital technologies—including precision agriculture, sensing and data acquisition systems, artificial intelligence, blockchain, and data platforms—are examined in relation to their role in improving resource-use efficiency, traceability, and decision-making across the food value chain. In parallel, green technologies and sustainable practices in food production, processing, and waste management are discussed, with emphasis on resource optimization, circular economy approaches, and environmental impact reduction. This review further highlights the role of European and global policy frameworks, such as the European Green Deal and the Farm to Fork strategy, in steering technological adoption and aligning innovation with sustainability objectives. By synthesizing technological, environmental, and policy perspectives, this work underscores the importance of integrated digital–green strategies for achieving long-term sustainability, competitiveness, and resilience in agri-food systems. Full article

Using transaction cost economics (TCE) and agency theory, this paper examines how blockchain, smart contracts, and decentralized autonomous organizations (DAOs) reconfigure financial services across payments, wealth management, real estate, and corporate governance. Three research questions are addressed: (1) What are the quantifiable efficiency gains from blockchain-based real-time settlement compared with legacy systems? (2) How do blockchain technologies reduce intermediation and agency costs in wealth management and real estate? (3) Finally, to what extent do DAOs resolve or transform traditional corporate governance problems? By combining a present-value model calibrated to U.S. Automated Clearing House (ACH) data ($86.2 trillion in annual volume), comparative institutional analysis, and synthesis of empirical evidence from pilot implementations and on-chain governance metrics, this paper makes three principal contributions. First, real-time settlement yields approximately $12 billion in annual opportunity cost savings at the baseline 7.5% discount rate, with sensitivity analysis producing a range of $8–15 billion. The majority of gains accrue from moving to same-day or within-hour settlement. Second, tokenization and smart contract escrow substantially reduce real estate intermediation costs, blockchain-based digital identity streamlines wealth management onboarding, and a stablecoin taxonomy classifies fiat-collateralized, crypto-collateralized, and algorithmic designs by risk profile. Third, on-chain data reveal persistent governance token concentration (Gini > 0.98) and low voter participation (typically below 10%), exposing a gap between DAO theory and practice. Blockchain-specific risks are mapped to National Institute of Standards and Technology (NIST) Cybersecurity Framework 2.0, and mechanism design solutions, such as quadratic voting and AI-assisted proposal evaluation, are proposed to address whale dominance. Effective adoption requires hybrid architecture combining on-chain automation with off-chain structures for accountability and regulatory compliance. Full article

Purpose: This study systematically reviews research on six emerging technologies in external auditing, Big Data, Blockchain, Machine Learning, Deep Learning, Artificial Intelligence (AI), and Robotic Process Automation (RPA), to clarify what is currently known and to identify where the main gaps remain. Rather than treating each technology in isolation, this study brings them together under a single integrative review to provide a consolidated reference point for scholars assessing their impact on external audit practices. Design/Methodology/Approach: Following a structured systematic review protocol, searches were conducted in Scopus, ScienceDirect and SpringerLink (2000–2024) using technology-related keywords combined with “audit”, “auditor” and “auditing”. After applying explicit inclusion and exclusion criteria, 471 records were reduced to 32 ABS-listed journal articles, which were analysed thematically. Findings: The review shows that research on emerging technologies in external auditing is still fragmented, with substantial variation in the depth and maturity of evidence across the six technologies. The strongest empirical base is concentrated in Big Data analytics and ML-based predictive models (including more advanced Deep Learning variants), whereas Blockchain and RPA work remains predominantly conceptual or confined to small-scale design-science implementations. Across technologies, most studies are single-country and either rely on auditors’ self-reported perceptions of adoption and impact or evaluate model performance without tracing effects on audit strategies and engagement outcomes, which limits external validity and construct measurement. Very few articles explicitly integrate the Audit Risk Model or other formal theories, and almost no work examines multi-technology “audit stacks” or generative AI, leaving substantial gaps in understanding how these tools jointly reshape inherent, control and detection risk across the audit cycle. Originality/Value: By integrating six technologies within a single external audit framework, the review offers a technology-specific evidence map and a targeted future research agenda that can guide scholars, audit firms and regulators in designing studies and policies aligned with actual gaps in the current literature. Full article

The present article examines the pioneering case of blockchain adoption in local government by the City of Lugano and discusses how Distributed Ledger Technology (DLT) may support institutional innovation beyond pilot experimentation. The Swiss municipality of Lugano has developed an integrated strategy that combines permissioned blockchain infrastructure (SwissLedger), a municipal payment token (LVGA), digital literacy and payment innovation initiatives (Plan ₿), and the issuance of fully digital municipal bonds. By adopting a case study methodology, the analysis draws on quantitative indicators of platform usage, operational data, and a sentiment analysis of media coverage to document technological developments and socio-economic patterns correlated with the initiative. SwissLedger has been adopted as an infrastructural experiment for secure document notarization, public administration digital services, open-finance interoperability with optional compliance tools, and sector-specific applications. Furthermore, the Plan ₿ initiative emerges as a communication catalyst, generating international visibility and positive sentiment, alongside descriptive statistics consistent with local economic activity. Lugano’s digital bond issuances also attracted attention to the potential of how DLT could support settlement processes and transparency in public finance. Overall, the evidence gathered suggests that DLT adoption in local government is not merely a technological upgrade, but rather part of a broader organizational transformation process. The case findings also outline a set of potentially transferable elements for municipalities seeking to align innovation with public value creation. Full article

The global tourism industry is entering a phygital era, prompting renewed examination of the metaverse as an extension rather than a substitute for physical travel. This study investigates how metaverse technology operates across the Phygital Customer Journey within the Thai tourism context. Drawing on in-depth interviews with 12 experts from academic, multimedia development, and policy sectors, the data were analyzed using reflexive thematic analysis. The findings indicate that the metaverse assumes its most structurally significant role during the pre-trip phase. Immersive previews were described as recalibrating perceived risk by enabling advance assessment of accessibility, spatial configuration, and environmental conditions prior to commitment. This staged risk-calibration process operates through three interrelated mechanisms: Sensory Bridging, Psychological Risk Mitigation, and Physical Feasibility Testing, which are particularly relevant for secondary tourism destinations and demographic aging contexts. Building on these patterns, the study advances a four-layer architectural framework as an interpretive synthesis. Within this framework, the metaverse functions as a transactional and coordination layer that integrates booking systems, AI-enabled services, and real-time infrastructural data supported by IoT and Blockchain. The analysis further suggests that the state may assume an enabling role as an Infrastructure Architect through the development of a National Digital Highway and regulatory sandbox arrangements for SMEs. Sustainable adoption depends on hardware-agnostic, mobile-centric accessibility to mitigate digital exclusion. While grounded in Thailand, the framework offers analytical relevance for destinations facing comparable infrastructural and demographic conditions. Full article

In the wake of rapid digital transformation, emerging technologies like FinTech, AI, and Blockchain are reimagining how countries pursue sustainable development. This study examines how FinTech adoption, Artificial Intelligence (AI) readiness, and Blockchain activity influence sustainable development performance across G20 economies over the period 2015–2023. Drawing on Innovation-Driven Growth Theory, the Technology–Organization–Environment framework, and Institutional Theory, the analysis evaluates both the direct and complementary effects of these digital technologies on Sustainable Development Goal (SDG) outcomes using cross-country panel data and key macroeconomic controls. The results show that FinTech, AI, and Blockchain each exert a positive and statistically significant impact on national sustainability performance, with AI exhibiting the strongest effect. Moreover, the findings reveal meaningful digital complementarities, indicating that coordinated adoption of these technologies amplifies sustainable development gains. Overall, the study provides robust macro-level evidence that digital transformation functions as a strategic driver of sustainability and offers policy-relevant insights for G20 governments seeking to accelerate inclusive, transparent, and environmentally responsible development. Full article

Collaboration is a cornerstone of digital transformation in the Architecture, Engineering, and Construction (AEC) sector. Despite widespread adoption of building information modeling (BIM), a critical “human factor gap”—the disconnect between rapid technological advancement and organizational readiness—remains largely unaddressed. This study investigates the intellectual structure of BIM collaboration research. Adopting a mixed-methods review design, it conducts a comprehensive bibliometric analysis of 1595 journal articles indexed in Web of Science and Scopus, followed by a qualitative content analysis of 38 purposefully selected studies. Findings reveal a clear shift from process-oriented collaboration frameworks toward data-centric and cyber–physical systems, including digital twins, Artificial Intelligence, and blockchain-enabled environments. However, this evolution also highlights a notable asymmetry in BIM collaboration, with technology-driven dynamics substantially outweighing human and organizational considerations. This imbalance, conceptualized as a human factor gap in thematic development observed through the bibliometric analysis, points to a potential socio-technical misalignment, in which technological topics receive more scholarly attention than organizational and human factors. Rather than framing collaboration maturity as a purely technical challenge, the study emphasizes the need for advanced digital infrastructure, human-centered governance models, organizational readiness, and socio-technical competencies. It provides analytical insights for researchers and implications for policymakers and industry stakeholders, emphasizing the necessity of integrated approaches that address both the technological and human dimensions of BIM-enabled collaboration. Full article

Blockchain technology is redefining the foundations of cybersecurity by introducing decentralized, tamper-resistant mechanisms for data integrity, trust management, and malware intelligence sharing. Traditional detection systems, which are dependent on centralized control and opaque validation, remain vulnerable to data manipulation and systemic compromise. The integration of blockchain transforms these paradigms because it provides verifiable provenance, distributed consensus, and autonomous enforcement through smart contracts. This review synthesizes fifteen years of progress (2010–2025) at the intersection of blockchain and malware detection and discusses core architectures, consensus protocols, and cryptographic properties that underpin decentralized defenses. The review follows a structured literature review methodology, which focuses on blockchain architectures, consensus protocols, and malware-detection pipelines reported in the cybersecurity literature. It also analyzes blockchain detection pipelines, performance tradeoffs, and data protection mechanisms in distributed learning systems and artificial intelligence models. Special attention is given to scalability constraints, regulatory compliance, and interoperability challenges that shape adoption. The review identifies three dominant design patterns: (i) decentralized threat-intelligence sharing with provenance guarantees, (ii) consensus-driven validation of malware artifacts, and (iii) on-chain trust and reputation mechanisms for detector accountability. Through the union of blockchain, artificial intelligence, edge computation, and federated learning, cybersecurity attains an auditable and adaptive architecture resilient to adversarial threats. The study concludes that blockchain provides a verifiable trust infrastructure for malware detection, but its practical deployment requires faster transaction validation and stronger protection of sensitive data; future research should address performance optimization and regulatory compliance. Full article

Blockchain technology has increasingly drawn the attention of governments seeking to modernize public services through transparent, secure, and efficient digital infrastructures. Drawing on case studies from diverse regions, including the UAE, Estonia, Georgia, Colombia, and multiple Gulf Cooperation Council (GCC) nations, this systematic review synthesizes implementation patterns across domains such as land administration, digital identity, procurement, and intergovernmental payments. The critical analysis highlights blockchain’s capacity to establish tamper-evident records, automate verification, and reduce administrative overhead while also addressing technical and institutional factors that shape its impact. Outcomes across successful deployments suggest that benefits are most pronounced when blockchain aligns with real governance needs and is supported by robust legal and digital infrastructure. This review also identifies key barriers to adoption, including interoperability challenges, regulatory uncertainty, limited technical capacity, and resistance to organizational change. Notably, this review highlights a critical but underexplored dimension involving the need for public accountability not only in service delivery but also in the governance of blockchain systems themselves. By examining real-world use cases alongside technical and policy frameworks, this review advances a deeper understanding of blockchain’s role in reshaping public administration and sets a research agenda for building more trusted, auditable, and inclusive digital government systems. Full article