Unlocking the Potential of Network Capabilities and Digital Transformation in SME Internationalization: A Systematic Review and Future Outlook DOI
Lina Marlina,

Hasan Fahmi Kusnadar

Published: Jan. 1, 2024

Language: Английский

Modeling barriers to the adoption of metaverse in the construction industry: An application of fuzzy-DEMATEL approach DOI
Muhammad Irfan, Abishek Rauniyar, Jin Hu

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: unknown, P. 112180 - 112180

Published: Sept. 1, 2024

Language: Английский

Citations

9

Consumer brand choice in the metaverse: Exploring personal and social factors DOI Creative Commons
Aline Simonetti, José Enrique Bigné Alcañiz,

Luis Fernando Rico Navas

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 213, P. 124033 - 124033

Published: Feb. 5, 2025

Language: Английский

Citations

1

The metaverse as a future form of smart cities: A systematic literature review of co-benefits and trade-offs for sustainable development goals DOI
Ayyoob Sharifi, Melika Amirzadeh, Amir Reza Khavarian-Garmsir

et al.

Cities, Journal Year: 2025, Volume and Issue: 161, P. 105879 - 105879

Published: March 22, 2025

Language: Английский

Citations

1

A blockchain-based dynamic energy pricing model for supply chain resiliency using machine learning DOI Creative Commons
Moein Qaisari Hasan Abadi, Russell Sadeghi, Ava Hajian

et al.

Supply Chain Analytics, Journal Year: 2024, Volume and Issue: 6, P. 100066 - 100066

Published: April 3, 2024

The escalation of energy prices and the pressing environmental concerns associated with excessive consumption have compelled consumers to adopt a more optimal approach towards usage an advanced infrastructure such as smart grids. Blockchain technology significantly improves management by creating supply chain resiliency in distributed grid. This study proposes blockchain-based decision-making framework dynamic pricing model manage distributions, particularly during crisis. Empirical data from U.S. are employed show applicability proposed model. We include price elasticity address changes market prices. Findings revealed that reduces total costs performs better when disruption has occurred. provides post hoc analysis which four machine learning algorithms used predict consumption. Results suggest Autoregressive Integrated Moving Average (ARIMA) algorithm highest accuracy compared other algorithms.

Language: Английский

Citations

7

Responsible metaverse: Ethical principles for guiding decision-making and maintaining complex relationships for businesses in 3D virtual spaces DOI Creative Commons
Rajat Kumar Behera, Marijn Janssen, Nripendra P. Rana

et al.

Decision Support Systems, Journal Year: 2024, Volume and Issue: unknown, P. 114337 - 114337

Published: Sept. 1, 2024

Language: Английский

Citations

6

Emerging Technologies and Future Trends in Cyber‐Physical Power Systems: Toward a New Era of Innovations DOI
Ali Parizad, Hamid Reza Baghaee, Vahid Alizadeh

et al.

Published: Feb. 26, 2025

Language: Английский

Citations

0

Evolution or involution? A systematic literature review of organisations' blockchain adoption factors DOI Creative Commons
Zhang Ying, M.Mahdi Tavalaei, Glenn Parry

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 208, P. 123710 - 123710

Published: Aug. 27, 2024

To understand the slow adoption of blockchain technology by organisations, we conduct a systematic literature review factors using mixed-methods approach. Using thematic analysis, 880 are identified and grouped into 29 themes, which offer comprehensive overview literature. statistical dissected technological (T), organisational (O), environmental (E) dimensions (the TOE framework). Themes further classified as barriers (B), enablers (En), ambiguous (A) to describe firm's readiness for BEnA We emphasise multidimensionality across conditionality dimensions. Analysis research trends shows that recent has focused on elaborating upon existing themes (involution) rather than developing new (evolution). Based our analyses, propose future directions, including scrutinising interdependence factors, examining with conditional or unclear effects adoption, broadening contextual, temporal, theoretical aspects research.

Language: Английский

Citations

4

Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse DOI Open Access
George Lăzăroiu, Tom Gedeon, Katarína Valašková

et al.

Equilibrium Quarterly Journal of Economics and Economic Policy, Journal Year: 2024, Volume and Issue: 19(3), P. 719 - 748

Published: Sept. 27, 2024

Research background: Connected Internet of Robotic Things (IoRT) and cyber-physical process monitoring systems, industrial big data real-time event analytics, machine deep learning algorithms articulate digital twin smart factories in relation to learning-assisted planning, (IoT)-based production logistics, enterprise resource coordination. cooperative behaviors 3D assembly operations collaborative environments require ambient environment geospatial simulation tools, computer vision spatial mapping algorithms, generative artificial intelligence (AI) planning software. Flexible cloud computing necessitate sensing actuation capabilities, cognitive visualization sensor fusion image recognition technologies so as lead tangible business outcomes. Purpose the article: We show that AI cyber–physical manufacturing fog edge task scheduling are instrumental interactive economics metaverse. Generative AI-based metaverse develops on IoRT management multi-sensory extended reality modeling technologies, for data-driven decision-making processes. Virtual reinforcement autonomous virtual equipment learning-based object detection can be leveraged networked immersive processing. Methods: Evidence appraisal checklists citation software deployed justifying inclusion or exclusion reasons collection analysis comprise: Abstrackr, Colandr, Covidence, EPPI Reviewer, JBI-SUMARI, Rayyan, RobotReviewer, SR Accelerator, Systematic Review Toolbox. Findings & value added: Modal actuators sensors, robot trajectory computational systems enable scalable computation processes environments. Ambient remote cloud-based robotic cooperation improve IoT-based logistics multi-agent controls factories. Context acquisition shape path lines, collision-free motion coordinated unpredictable perception tasks, increasing economic performance. This collective writing cumulates debates upon most recent relevant literature twin-based Things, by use evidence

Language: Английский

Citations

4

Metaverse technology in sustainable supply chain management: Experimental findings DOI Creative Commons
Russell Sadeghi, Divesh Ojha, Puneet Kaur

et al.

Decision Support Systems, Journal Year: 2025, Volume and Issue: unknown, P. 114423 - 114423

Published: Feb. 1, 2025

Language: Английский

Citations

0

Shaping Virtual Retail: Identifying Key Influences in Metaverse Shopping with Fuzzy DEMATEL DOI Creative Commons

Lalan Sharma,

Neeraj Kaushık

Journal of Metaverse, Journal Year: 2025, Volume and Issue: 5(1), P. 51 - 63

Published: March 12, 2025

The Metaverse is significantly transforming e-commerce by providing immersive and interactive virtual shopping environments. This study explores the qualitative aspects user interactions that shape customer experiences on platforms. research uses Fuzzy DEMATEL (FDEMATEL) technique to identify prioritize 11 key factors influencing digital experiences, derived from literature expert opinions. FDEMATEL approach effectively examines causal relationships among these factors, reducing bias associated with imprecise human judgments. reveals flow, immersion, ease of use are prominent while informativeness, media richness, risk critical cause for successful retail These findings offer valuable insights managers platform developers enhance experiences. uniquely identifies analyzes success a comprehensive understanding can drive

Language: Английский

Citations

0