Technological Innovation as a Factor in Strengthening Economic Sustainability in the Context of Globalization DOI Creative Commons
Inna Sokhan,

Maksym Bevz,

Viktor Zapadenko

et al.

Data & Metadata, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 26, 2024

Introduction: The study explored the impact of global competitiveness and technological progress on enhancing economic sustainability within framework globalization.Methods: A comprehensive survey was conducted, gathering data from 210 respondents. Logit regression analysis used to assess influence innovation, competitiveness, technical outcomes. Model accuracy tested using Receiver Operating Characteristic (ROC) curve.Results: findings showed that innovation increased likelihood achieving with an odds ratio 2.34 (p = 0.003). Global also played a significant role, improving by 1.90 times 0.008). Technical positively influenced sustainability, 1.62 0.025). model's predictive validated AUC value 0.82.Conclusions: emphasized importance fostering strengthening market participation, advancing capabilities drive sustainability. In line Sustainable Development Goals, policymakers business leaders should prioritize ecosystems strategic investments in technology ensure long-term growth resilience globalized economy

Language: Английский

Is AI-based digital marketing ethical? Assessing a new data privacy paradox DOI Creative Commons
José Ramón Saura, Vatroslav Škare, Đurđana Ozretić Došen

et al.

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(4), P. 100597 - 100597

Published: Oct. 1, 2024

Language: Английский

Citations

11

Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis DOI Creative Commons
Lorena Espina-Romero, Humberto Gutiérrez Hurtado, Doile Enrique Ríos Parra

et al.

Sci, Journal Year: 2024, Volume and Issue: 6(4), P. 60 - 60

Published: Oct. 3, 2024

This study explores the evolution and impact of research on challenges opportunities in implementation artificial intelligence (AI) manufacturing between 2019 August 2024. By addressing growing integration AI technologies sector, seeks to provide a comprehensive view how applications are transforming production processes, improving efficiency, opening new business opportunities. A bibliometric analysis was conducted, examining global scientific production, influential authors, key sources, thematic trends. Data were collected from Scopus, detailed review publications carried out identify knowledge gaps unresolved questions. The results reveal steady increase related manufacturing, with strong focus automation, predictive maintenance, supply chain optimization. also highlights dominance certain institutions authors driving this field research. Despite progress, significant remain, particularly regarding scalability solutions ethical considerations. findings suggest that while holds considerable potential for industry, more interdisciplinary is needed address existing maximize its benefits.

Language: Английский

Citations

6

Role of Industrial Artificial Intelligence in Advancing Human-Centric Sustainable Development of Industry 5.0 DOI Creative Commons

Nampuraja Enose Kamalabai,

Lea Hannola,

Ilkka Donoghue

et al.

Technology, work and globalization, Journal Year: 2025, Volume and Issue: unknown, P. 325 - 371

Published: Jan. 1, 2025

Language: Английский

Citations

0

Trends and Opportunities in Sustainable Manufacturing: A Systematic Review of Key Dimensions from 2019 to 2024 DOI Open Access
Antonius Setyadi,

Sundari Soekotjo,

Setyani Dwi Lestari

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 789 - 789

Published: Jan. 20, 2025

Purpose: This systematic literature review analyzes trends, key findings, and research opportunities in manufacturing sustainability from 2019 to 2024, with a focus on the integration of emerging technologies socio-economic dimensions. Methodology: 181 publications was conducted, emphasizing technological advancements, gaps, influence global events sustainable manufacturing. Findings: highlights: (1) shift towards advanced like AI-driven circular economy solutions, digital twins, blockchain, which have demonstrated potential reduce energy consumption by 30% decrease material waste 20%, significantly enhancing outcomes; (2) persistent gaps addressing social, policy, regulatory dimensions; (3) role COVID-19 pandemic accelerating transformation reshaping priorities. Key findings also include PT Indocement achieving cumulative 35% reduction natural gas through sustained optimization initiatives 12% increase adoption among SMEs developing regions. Practical implications: strategic recommendations are provided for industry, policymakers, academics address regional disparities, ensuring 50% rates inclusive within regions over next five years, align efforts contexts. Originality: this presents comprehensive analysis current actionable insights, critical areas future research, highlighting that organizations adopting AI blockchain report up 25% improvement operational sustainability.

Language: Английский

Citations

0

Kickstart manufacturing SMEs' go green journey: A green hydrogen acceptance framework to enhance low carbon emissions through green digital technologies DOI
Muhammad Farhan Jalil,

Dayang Affizzah Binti Awang Marikan,

Mohamad Jais

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 105, P. 592 - 610

Published: Jan. 25, 2025

Language: Английский

Citations

0

Weighing finishing pigs in motion: A walk-over scale for accurate weight estimation DOI Creative Commons
François Decarie,

Charles Grant,

Gabriel Machado Dallago

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 232, P. 110019 - 110019

Published: Feb. 6, 2025

Language: Английский

Citations

0

Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review DOI Creative Commons
Mohsen Soori, Fooad Karimi Ghaleh Jough, Roza Dastres

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 200198 - 200198

Published: Feb. 1, 2025

Language: Английский

Citations

0

Sustainable transportation through data science: Case studies from the automotive industry DOI
Yangyang Zhao, Peijun Li,

Yuan Zhang

et al.

International Journal of Sustainable Transportation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Feb. 14, 2025

Language: Английский

Citations

0

Explainable Artificial Intelligence for Sustainable Urban Water Systems Engineering DOI Creative Commons

Shofia Saghya Infant,

A.S. Vickram,

A. Saravanan

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104349 - 104349

Published: Feb. 1, 2025

Language: Английский

Citations

0

Industry 5.0 and green supply chain management synergy for sustainable development in Bangladeshi RMG industries DOI Creative Commons
Md Al Amin, Arka Chakraborty, Roberto Baldacci

et al.

Cleaner Logistics and Supply Chain, Journal Year: 2025, Volume and Issue: unknown, P. 100208 - 100208

Published: Feb. 1, 2025

Language: Английский

Citations

0