Do circular innovations and carrying capacity of natural environment enhance circular economy in the European Union? Evidence from simulation and machine learning methods DOI

Shanming Xu,

Ying Wang

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123863 - 123863

Published: Dec. 27, 2024

Language: Английский

Design strategies and willingness to pay for circular economy service policies in sustainable tourism DOI Creative Commons
Sapta Suhardono, Thi Thanh Thuy Phan, Chun‐Hung Lee

et al.

Environmental Challenges, Journal Year: 2025, Volume and Issue: unknown, P. 101081 - 101081

Published: Jan. 1, 2025

Language: Английский

Citations

0
Impact of Digitization and Artificial Intelligence on Carbon Emissions Considering Variable Interaction and Heterogeneity: An Interpretable Deep Learning Modeling Framework DOI

Gongquan Zhang,

Shenglin Ma, Mingxing Zheng

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106333 - 106333

Published: March 1, 2025

Language: Английский

Citations

0
Supply chain challenges and energy insecurity: The role of AI in facilitating renewable energy transition DOI
Lingxiao Li, Jun Wen,

Yan Jun Li

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108378 - 108378

Published: March 1, 2025

Language: Английский

Citations

0
Digital disruption, knowledge and collaborative networks and green innovation in China manufacturing transformation DOI
Yao Xiao,

Rong Xiang,

Yong-lei Sun

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 216, P. 124120 - 124120

Published: April 16, 2025

Language: Английский

Citations

0
RESEARCH ON THE TRANSFORMATION PROCESS OF ENTERPRISE MANAGEMENT IN THE CONDITIONS OF DIGITAL ECONOMY DOI
Hao Jiang

INNOVATIVE ECONOMY, Journal Year: 2024, Volume and Issue: unknown, P. 128 - 134

Published: June 1, 2024

Purpose. The aim of the article is an in-depth study transformation process enterprise management on example Capital Iron and Steel Company in order to determine key factors successful provide recommendations for other enterprises facing similar challenges conditions rapid development digital technologies fierce market competition. Methodology research. General scientific specialized methods were used research process, including: induction deduction at stage collecting, systematizing, processing necessary information; SWOT analysis – assessing internal external environment company Steel; abstract logical formulating theoretical conclusions. Findings. It was established that mainly occurs due interaction factors. substantiated strategic planning a part which directs enterprise. analysed, using identify strengths weaknesses, opportunities, threats. determined should focus diversifying its product range, entering new markets, investing innovation environmentally friendly technologies. also emphasizes importance building talented team fostering positive organizational culture. Through continuous improvement, has strengthened position industry, achieving sustainable goals. Originality. context economy by applying assess competitive advantages disadvantages further developed, made it possible specify directions company's (diversification markets investment innovative technologies). Practical value. results can be useful undergoing economy, developing effective strategies based taking into account factors, improving increasing competitiveness. Key words: transformation, management, strategy, competitiveness, innovation, development, planning.

Language: Английский

Citations

0
Early Lessons from the Ai Revolution for Financial Market Behavior DOI
Bluford H. Putnam

Published: Jan. 1, 2024

Will the Artificial Intelligence (AI) revolution be a game-changer for financial markets? Interestingly, impact of AI on behavior markets seems to lagging, compared other sectors in which emergence has been remarkably fast. We explore some early lessons from unrelated investing -- health care, education, and chess inform our understanding how may market behavior. is easily applied static problems. Financial are decidedly dynamic, presenting challenges successful application AI.

Language: Английский

Citations

0
The role of artificial intelligence in greening biogas operations DOI
Tawanda Kunatsa

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 361 - 397

Published: Nov. 29, 2024

Language: Английский

Citations

0
Do circular innovations and carrying capacity of natural environment enhance circular economy in the European Union? Evidence from simulation and machine learning methods DOI

Shanming Xu,

Ying Wang

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123863 - 123863

Published: Dec. 27, 2024

Language: Английский

Citations

0