Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in generative artificial intelligence economics

Oeconomia Copernicana, Journal Year: 2024, Volume and Issue: 15(3), P. 837 - 870

Published: Sept. 30, 2024

Research background: Generative artificial intelligence (AI) and machine learning algorithms support industrial Internet of Things (IoT)-based big data enterprise asset management in multiphysics simulation environments by processing, modeling, monitoring, enabling business organizational managerial practices. Machine learning-based decision edge generative AI sensing systems can reduce persistent labor shortages job vacancies power productivity growth market dynamics, shaping career pathways facilitating occupational transitions skill gap identification labor-intensive manufacturing automation path planning spatial cognition algorithms, furthering theoretical implications for sciences. fintech, behavioral analytics assist multi-layered payment transaction processing screening with regard to authorized push payment, account takeover, synthetic identity frauds, flagging suspicious activities combating economic crimes rigorous verification processes. Purpose the article: We show that device functionalities cloud IoT virtual robotic technologies configure plant production route processes across cyber-physical multi-cloud immersive 3D environments, leading tangible outcomes reinforcement convolutional neural networks. Labor-augmenting impact employment participation, increase wage wealth inequality, lead potential displacement massive disruptions. The deep capabilities fintech terms adaptive credit scoring mechanisms enhance financial behaviors algorithmic trading returns, identify fraudulent transactions swiftly, improve forecasts, customized investment recommendations well-informed decisions. Methods: study selection process text mining systematic review software tools leveraged include Abstrackr, CADIMA, Colandr, DistillerSR, EPPI-Reviewer, JBI SUMARI, METAGEAR package R, SluRp, SWIFT-Active Screener. Such reference are harnessed methodologically evidence synthesis, characteristic extraction, predictive document classification, citation record screening, bias assessment, article retrieval automation, classification prioritization. Findings & value added: Industrial augmented reality create streamlining product remote extended reality-based navigation autonomous smart factory articulating level theory implications. operational modeling execute complete complex cognitive task-oriented knowledge economy jobs, producing first-rate quality outputs swiftly while unemployment spells, disruptions, losses, reduced earnings clustering algorithms. decentralized finance, interoperable blockchain networks, cash flow tools, tokenization mitigate fraud risks, enable digital fund crypto investing servicing, automate treasury operations integrating real-time capabilities, routing configurable workflows, lending technologies.

Language: Английский

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Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education

Education Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 398 - 398

Published: March 21, 2025

Bringing artificial intelligence (AI) and living into higher education has the potential to completely reshape teaching, learning, administrative processes. Living is not just about using AI—it creating a dynamic partnership between human thinking AI capabilities. This collaboration allows for continuous adaptation, co-evolution, real-time making more responsive individual student needs evolving academic environments. AI-driven tools are already enhancing way students learn by personalizing content, streamlining processes, introducing innovative teaching methods. Adaptive platforms adjust material based on progress, while emotionally intelligent systems help support students’ mental well-being detecting responding emotional cues. These advancements also make inclusive, helping bridge accessibility gaps underserved communities. However, improve significantly, it introduces challenges, such as ethical concerns, data privacy risks, algorithmic bias. The real challenge embracing AI’s benefits but ensuring used responsibly, fairly, in that aligns with educational values. From sustainability perspective, supports efficiency, equity, resilience within institutions. solutions can optimize energy use, predict maintenance needs, reduce waste, all contributing smaller environmental footprint. At same time, adaptive learning minimize resource waste tailoring AI-powered curriculum updates keep programs relevant fast-changing world. paper explores disconnect promise real-world difficulties of implementing responsibly education. While have revolutionize experience, their adoption often slowed regulatory need institutions adapt. Addressing these issues requires clear policies, faculty training, interdisciplinary collaboration. By examining both challenges education, this focuses how integrate responsible sustainable way. goal encourage technologists, educators, policymakers fully harness enhances experiences, upholds standards, creates an future-ready environment.

Language: Английский

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Perceptions of Financial AI Assistants and Intentions Toward AI-Assisted Financial Products

International Journal of Asian Business and Information Management, Journal Year: 2025, Volume and Issue: 16(1), P. 1 - 17

Published: March 21, 2025

Artificial intelligence (AI) has evolved for several decades. Much research focused on how financial institutions should design, build, and operate AI-assisted products services customers perceive adopt individual AI assistants. Nonetheless, separating the perceptions of assistants intentions toward their respective offerings is inadequate. This study implemented a case with Vietnamese university students (n = 458) to examine theoretical model involving four AI-assistant attributes (anthropomorphism, security, performance, effort), trust, six intentions. It found that perceived anthropomorphism, performance (usefulness), effort (ease use) could significantly affect various degrees; tendency trust mediated these associations. Perceived security did not show any significant influence. Implications improving students' knowledge habits scheduling were discussed based observations.

Language: Английский

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The impact of artificial intelligence on labor market: A study based on bibliometric analysis

Journal of Asian Economics, Journal Year: 2025, Volume and Issue: unknown, P. 101926 - 101926

Published: March 1, 2025

Language: Английский

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The Impact of Artificial Intelligence Adoption on the Quality of Financial Reports on the Saudi Stock Exchange

International Journal of Financial Studies, Journal Year: 2025, Volume and Issue: 13(1), P. 21 - 21

Published: Feb. 4, 2025

The aim of this study was to explore how artificial intelligence (AI) impacts the quality financial reporting, providing insights into new opportunities in field for Saudi context. This employed UTAUT theory examine adoption AI technology auditing practices. also utilized bibliometric analysis techniques through an academic literature review and content analyses documentary evidence. implication is that non-Big 4 audit firms should adopt AI-powered drones, which consequently enhance decision making, decrease fees, reports, efficiency accuracy audits. Furthermore, paper recommends adopting foster a culture change ensure audits consistency, overcome resistance change, support integration technologies such as AI-driven automation. Our indicated importance integrating with IFRS, developing framework practices, incorporating courses, modernizing using AI. These implications lead reports enhanced quality. results four clusters, being most significant keyword occurrence. has limitations, lack consideration cyber-attack risks on may reduce reliability reports. Based findings research, companies regulatory agencies Arabia, like Capital Market Authority (CMA), evaluate improve reporting. Implementing expected audits, automate compliance confidence transparency industry.

Language: Английский

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Human-AI integration and sound-vibration technology-driven enterprise digital transformation: The mediating role of technological innovation

Sound&Vibration, Journal Year: 2025, Volume and Issue: 59(1), P. 1733 - 1733

Published: Feb. 21, 2025

The synergistic application of human-AI integration and sound-vibration technology is profoundly reshaping the digital transformation landscape technological innovation in Chinese enterprises. In this research, with as mediating variable, how jointly optimize enterprise was investigated. A collaborative model incorporating constructed validated using confirmatory factor analysis (CFA) partial least squares structural equation modeling (PLS-SEM), revealing its dual role accelerating driving innovation. Data from power sector enterprises analyzed, 262 observations collected via a structured questionnaire examined modeling. findings demonstrate that significantly enhances organizational capabilities through complex data processing, signal analysis, decision optimization, while further improves efficiency equipment monitoring predictive maintenance, thereby supporting transformation. Technological plays critical role, contributions to operational emerging business models empirically validated. research not only enriches theoretical framework but also provides actionable strategic recommendations for decision-makers achieve continuous competitive advantages era intelligent

Language: Английский

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Advances on Fintech-Based Lending Practices: Orchestrating the Dialogue on Transformative Innovation

Published: Jan. 1, 2025

Language: Английский

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EXP-Transformer time series prediction model for accident scenarios in high-reliability energy systems: Nuclear power plants case

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135481 - 135481

Published: March 1, 2025

Language: Английский

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Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs

Future Business Journal, Journal Year: 2024, Volume and Issue: 10(1)

Published: Nov. 19, 2024

Language: Английский

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The impact of Human-AI integration on enterprise digital transformation: The mediating role of enterprise technological innovation

Sound&Vibration, Journal Year: 2024, Volume and Issue: 59(1), P. 1733 - 1733

Published: Nov. 5, 2024

The integration of Human-AI systems is swiftly reshaping the digital transformation and technological innovation landscape within Chinese enterprises. This paper investigates influence on process enterprise transformation, with enterprises acting as a mediating factor. Utilizing Confirmatory Factor Analysis (CFA) Partial Least Squares Structural Equation Modeling (PLS-SEM), study constructs validates research model that demonstrates how collaboration between accelerates while fostering innovation. Moreover, drawing electric survey-based data from firms, we performed covariance-based structural equation modeling to test conceptual framework model. Following questionaries, total 262 observations were collected, analyzed using modelling. Consequently, through review theoretical frameworks rigorous hypothesis testing, creates verifies humans AI driving As results, results contribute existing knowledge by providing actionable insights for managers professionals looking navigate growing role in business transformation.

Language: Английский

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