How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research

Journal of Business Research, Journal Year: 2024, Volume and Issue: 182, P. 114760 - 114760

Published: June 19, 2024

Bibliometrics (or scientometrics) is a powerful technique to assess the trajectory of scientific research. Building on Journal Business Research's seminal guides for bibliometric analysis—i.e., "How conduct analysis: An overview and guidelines" "Guidelines advancing theory practice through research"—and using metaverse research as case, this article presents in-depth procedural guidelines (i) combing cleaning data from multiple databases (Scopus Web Science) (ii) conducting analysis tools (bibliometrix VOSviewer). Besides serving guide harness potential bibliometrics insightful assessments research, provides noteworthy insights into various features metaverse. This includes an examination decentralized systems integration digital assets, alongside innovations, influence industrial revolutions, ethical sustainable development. The dynamics identity, ownership, business models are explored in tandem with engagement strategies multi-disciplinary perspectives comprehensive also addresses challenges, market behaviors, marketing strategies. Collectively, these offer robust foundation scholars, practitioners, policymakers shape future clarity, purpose, impact.

Language: Английский

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Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications

Journal of Network and Computer Applications, Journal Year: 2023, Volume and Issue: 217, P. 103675 - 103675

Published: June 3, 2023

Language: Английский

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Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 43

Published: Feb. 27, 2024

The metaverse has emerged as an exciting new paradigm for human-computer interaction (HCI) and virtual collaboration. This paper presents a comprehensive review of the to address gap in existing literature where there is lack survey that reviews nature its building blocks from human-centric perspective. We first synthesize definition delineate key affordances. then introduce detailed framework encompassing metaverse's nature, infrastructure technologies, input/output technologies facilitate multi-sensory HCI, alongside applications across diverse domains. components within this are explained depth, offering insights into readiness level current technologies. Based on analysis, we outline major open challenges propose promising directions demanding further exploration investigation. By clarifying vision characterizing required realize it, provides essential serves invaluable resource developers researchers working advance transformative medium.

Language: Английский

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Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse

Equilibrium Quarterly Journal of Economics and Economic Policy, Journal Year: 2024, Volume and Issue: 19(2), P. 429 - 461

Published: June 30, 2024

Research background: Multi-modal synthetic data fusion and analysis, simulation modelling technologies, virtual environmental location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing sensory mining techniques, 3D twin predictive maintenance tools, big mobile analytics, cloud-connected spatial computing devices further immersive spaces, decentralized worlds, reality Purpose of article: We aim to show that extended cognitive systems, computer vision-based production neuro-engineering interoperability improve artificial intelligence-based metaverse hyper-immersive simulated environments. Geolocation tracking image processing computational robot motion algorithms, technologies economic business management environments Methods: Quality tools: AMSTAR, BIBOT, CASP, Catchii, R package Shiny app citationchaser, DistillerSR, JBI SUMARI, Litstream, Nested Knowledge, Rayyan, Systematic Review Accelerator. Search period: April 2024. terms: “digital metaverse” + “artificial Intelligence Things systems”, “multisensory technologies”, “algorithmic tools”. Selected sources: 114 out 336. Published research inspected: 2022–2024. PRISMA was reporting quality assessment tool. Dimensions VOSviewer were deployed as visualization tools. Findings & value added: Simulated augmented multi-sensory explainable decision support cloud-based robotic cooperation ambient intelligence deep learning-based analytics tools are instrumental in The necessitates connected enterprise reality-embedded twins.

Language: Английский

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Metaverse in Business and Commerce

Advances in social networking and online communities book series, Journal Year: 2024, Volume and Issue: unknown, P. 47 - 72

Published: April 5, 2024

Incorporating the Metaverse into trade and business represents a paradigm change, changing conventional tactics, encouraging creative solutions. The Metaverse's revolutionary effects on branding, marketing, e-commerce are examined in this abstract. It explores development of virtual worlds, leading to creation its pivotal role modern trade. E-commerce experiences tremendous shift world, where storefronts, immersive experiences, 3D product displays boost sales improve user engagement. Businesses looking develop distinctive brand have possibilities problems as marketing branding strategies adjust locations. Real-world case studies from retail, entertainment, hospitality sectors demonstrate successful integration. These provide insights applications consequences. Virtual commodities, digital real estate, innovative monetization redefining economic environment affecting revenue-generating strategies.

Language: Английский

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Towards industry 5.0 through metaverse

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 89, P. 102764 - 102764

Published: March 18, 2024

The digital transformation of the industry allows optimization resources through enabling technology that virtualizes behavior Cyber-Physical Systems (CPS) along entire value chain. However, these virtual environments characterized by machine-to-machine interactions lacked presence humans who are at center next defined industrial revolution, Industry 5.0. goal is for to be actively integrated into called metaverses where with environmental assets possible. To achieve this human-centered metaverse perspective, it necessary provide technologies allow them reach a more immersive and realistic conception production processes. For purpose, we present in paper, framework based on hyperconnectivity several (e.g., Digital Twins, Virtual Reality, Industrial Internet Things (IIoT)) order converge towards metaverse. validate our framework, demonstrator has been developed evaluation when facing collaborative tasks require human-to-human interaction. Within demonstrator, an experiment assembly requires interaction autonomous vehicle carried out both reality world. results obtained indicate avatars' performance closer individuals have previous experience VR goggles, even proving, case, effectiveness operators' training. In addition, application evaluated technical parameters perception users analyzed conducting survey receiving very positive feedback results. Therefore, metaverse, blending cutting-edge tech human-centric approach 5.0, now reality.

Language: Английский

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The Metaverse: Innovations and generative AI

International Journal of Innovation Studies, Journal Year: 2024, Volume and Issue: 8(3), P. 262 - 272

Published: April 17, 2024

Today, the Metaverse consists of various platforms, including digital twins physical world as well virtual and blended digital-material environments that offer immersive experiences for individual users. By going beyond solely or realms, these platforms unlock new possibilities exploration, experimentation, interaction. This makes it possible to transcend limitations innovation processes confined locations, so is thus poised drive groundbreaking innovations. article explores an platform, its opportunities challenges, role generative AI in it. It discusses how Metaverse, a collaboration, creativity, technological supports potential. embracing challenges offered by leveraging capabilities within it, future which individuals can truly explore novel synergies between thriving kinds crucial achieve holistic sustainability impacts both platform outputs.

Language: Английский

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Metaverse for tourists and tourism destinations

Information Technology & Tourism, Journal Year: 2023, Volume and Issue: 25(4), P. 483 - 506

Published: Sept. 21, 2023

Language: Английский

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Implementation of Blockchain Technology in Waste Management

Energies, Journal Year: 2023, Volume and Issue: 16(23), P. 7742 - 7742

Published: Nov. 24, 2023

Implementing blockchain technology in waste management is a novel approach to environmental sustainability and accountability challenges our modern world. Blockchain, that enables decentralized immutable ledgers, now being re-imagined as tool revolutionize management. This innovative aims improve transparency, traceability, efficiency, resulting significant economic benefits. In traditional systems, the tracking disposal of materials are not transparent can be vulnerable fraud, mismanagement, inefficiency. Blockchain provides secure platform for recording every step lifecycle, from generation collection, transportation, recycling, or disposal. Every transaction recorded tamper-proof manner, enabling real-time monitoring verification waste-related data. paper introduces concept using The main goal this work show implementation an existing company, smart contracts recycling process provide transparency. Also, digital product passport was redefined terms circular economy recycling.

Language: Английский

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Security for the Metaverse: Blockchain and Machine Learning Techniques for Intrusion Detection

IEEE Network, Journal Year: 2024, Volume and Issue: 38(5), P. 204 - 212

Published: Jan. 9, 2024

Considered to be the next-generation (NextG) Internet, Metaverse faces various security risks inherited from its predecessor and new specialized threats. It is even more challenging mitigate these issues in a large-scale setting with numerous wearable devices such as augmented, virtual reality (AR/VR) headsets. In this article, we aim analyze aspect of thoroughly, focusing on blockchain machine learning (ML) solutions. Firstly, present 4-layer architecture discuss potential solutions for based ML. Next, develop decentralized collaborative intrusion detection system (CIDS) federated (FL) that allows users collaboratively protect digital world. This helps solving scalability single-point-of-failure (SPoF) traditional approaches. Finally, outline some key challenges future research directions security.

Language: Английский

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