The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

Oeconomia Copernicana, Journal Year: 2023, Volume and Issue: 14(3), P. 731 - 767

Published: Sept. 30, 2023

Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose article: The objective this paper to develop a systematic review relevant literature identify effects change, especially adoption AI in organizations, on employees’ skills (professional dimension) well-being (personal dimension). Methods: To implement research scope, authors relied Khan's five-step methodology, which included PRISMA flowchart with embedded keywords for selecting appropriate quantitative data study. Firstly, 639 scientific papers published between March 2020 2023 (the end COVID-19 according WHO) from Scopus Web Science (WoS) databases were selected. After applying procedures techniques, 103 articles retained, focused dimension, while 35 component. Findings & value added: Evidence has been presented highlighting difficulties associated ongoing requirement upskilling or reskilling as an adaptive reaction changes. efforts counterbalance skill mismatch impacted employees' challenging times. Although emphasis digital widely accepted, our investigation shows topic still not properly developed. paper's most significant contributions found thorough analysis affects well-being, representative aspects researched academic due paradigm changes generated continuous disruptions.

Language: Английский

---

Big data management algorithms in artificial Internet of Things-based fintech

Oeconomia Copernicana, Journal Year: 2023, Volume and Issue: 14(3), P. 769 - 793

Published: Sept. 30, 2023

Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose the article: We aim to show that fintech decrease transaction expenses and consolidates stock liquidity, enabling excess leverage cutting down information asymmetry across capital markets. AI- fintechs enable immersive collaborative financial transactions, purchases, investments relation payment tokens metaverse wallets, managing data, infrastructure, value exchange shared interactive virtual 3D simulated environments. Methods: AMSTAR is comprehensive critical measurement tool harnessed systematic review methodological quality evaluation, DistillerSR producing accurate transparent evidence-based research through literature stage automation, MMAT appraises describes study checklist mixed studies reviews terms content validity predictors, Rayyan responsive intuitive knowledge synthesis cloud-based architecture for article inclusion exclusion suggestions, ROBIS bias risk relevance concerns. As reporting assessment tool, PRISMA flow diagram, generated Shiny App, was used. bibliometric visualization construction tools large datasets networks, Dimensions VOSviewer were leveraged. Search “fintech” + “artificial intelligence”, “big data management algorithms”, “Internet Things”, search period June 2023, published inspected selected sources 35 out 188. Findings & added: The growing volume products optimized operational industries provide firms with multifarious options quickly. Big data-driven innovations are pivotal markets institution efficiency. Through technological process innovation capabilities, AI system-based businesses further automated services.

Language: Английский

---

The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 185, P. 109662 - 109662

Published: Oct. 2, 2023

Language: Английский

---

Artificial intelligence-empowered collection and characterization of microplastics: A review

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 471, P. 134405 - 134405

Published: April 26, 2024

Language: Английский

---

Integration of IoT and blockchain for decentralized management and ownership in the metaverse

International Journal of Communication Systems, Journal Year: 2023, Volume and Issue: 36(18)

Published: Sept. 4, 2023

Summary This manuscript provides an in‐depth exploration of metaverses, charting their historical development, technological foundations, and potential multifarious applications. It critically assesses the prevailing challenges explores pathways for evolution these expansive, virtual environments. In shedding light on wide‐ranging implications it navigates societal, cultural, regulatory, economic landscapes. further elucidates symbiosis between Internet Things (IoT) presenting empirical evidence derived from purpose‐built IoT frameworks metaverse A series experiments were conducted to affirm hypothesis that integration into utilities, including advanced concepts such as smart buildings, intricate task power grid management, precision‐centric domain agriculture, can drive significant progress. Quantitative findings provide compelling marked improvements in energy conservation, cost‐efficiency, operational effectiveness arising incorporation use cases. With observed mean 25% 17% cost reduction, impressive 22% increase efficiency, specifically realms building applications this study underscores pressing need sustained research development initiatives emerging.

Language: Английский

---

Fog Cloud Computing and IoT Integration for AI enabled Autonomous Systems in Robotics

EAI Endorsed Transactions on AI and Robotics, Journal Year: 2024, Volume and Issue: 3

Published: March 12, 2024

Fog Cloud Computing and the Internet of Things are transforming robotics by empowering AI-enabled autonomous systems. This study analyzes benefits, drawbacks, uses this integration. robots can use edge computing cloud resources for real-time data processing decision-making, improving their performance adaptability. Communication protocols, management, security, scalability examined in ecosystem. Case studies reveal how confluence affects applications. research shows FCC, IoT, AI may improve robotic systems' efficiency, intelligence, autonomy. The article covers systems transportation, manufacturing, healthcare, agriculture, smart cities. These technologies productivity safety many fields, from self-driving automobiles to surgical robots. Integrating these raises safety, ethical privacy, security concerns. report emphasizes transparent algorithms, unbiased regulatory frameworks enable responsible integration mitigate dangers. In future, will be shaped improved multi-modal sensing, human-robot collaboration, intelligence. It necessity interdisciplinary collaboration considerations technology development. concludes with a detailed analysis fog/cloud computing, robotics, revealing immense promise problems Responsible development help us negotiate transformational frontier create safer, more efficient, innovative society AI-driven

Language: Английский

---

Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in Ai, Machine Learning, and Digital Twin

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

---

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

---

A dual vision-guided mobile robot control approach for multi-target path planning and intelligent pickup

Robotics and Autonomous Systems, Journal Year: 2025, Volume and Issue: unknown, P. 104993 - 104993

Published: March 1, 2025

Language: Английский

---

A Multi-Objective Optimization Framework for Low-Carbon Index Construction and Application in Green Finance

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract The increasing urgency of addressing climate change and transitioning to sustainable development has highlighted the need for effective methods balance environmental financial objectives. This paper proposes a novel low-carbon index construction framework that integrates multi-objective optimization advanced computational techniques. is designed evaluate trade-offs between carbon emissions performance, providing robust decision-making tool policymakers industry stakeholders. proposed method employs hybrid algorithm combining genetic algorithms global exploration gradient-based local refinement, ensuring both solution diversity precision. Key metrics such as intensity, renewable energy adoption rates, economic growth indicators are integrated into index, with weights determined using an analytic hierarchy process. Sensitivity analysis validates robustness under varying weight scenarios, demonstrating its adaptability different sustainability priorities. experimental results showcase framework's ability generate comprehensive Pareto-optimal front, highlighting enabling informed decision-making. Furthermore, achieves superior efficiency compared traditional methods, faster convergence reduced runtime. study provides practical scalable constructing indices, contributing advancement green finance.

Language: Английский

---