Transforming digital value chain ecosystems for dual-carbon target: An exploration of the BDS-RAS framework

R Dou, Y Hou, KY Lin, S Si, Y Wei - Computers & Industrial Engineering, 2024 - Elsevier
As global strategies evolve to achieve peak carbon emissions and carbon neutrality, the
manufacturing industry faces the dual challenge of reducing carbon emissions while …

Can urban low-carbon transitions promote enterprise digital transformation?

X Chen, Y Huang, Y Gao - Finance Research Letters, 2024 - Elsevier
To address the escalating environmental issues and foster the progress of green
development, the Chinese government has initiated the low-carbon city pilot (LCCP) policy …

A data-driven construction method of aggregated value chain in three phases for manufacturing enterprises

H Dui, X Dong, M Liu - Computers & Industrial Engineering, 2024 - Elsevier
Under the dual influence of dual-carbon policies and the complex international situation,
manufacturing enterprises urgently need to build digital value chain ecosystems to adapt to …

Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development

H Wang, C Wen, L Duan, X Li, D Liu, W Guo - Sustainable Cities and …, 2024 - Elsevier
This study proposes a novel approach to sustainable energy transition in urban
environments, focusing on the prediction and management of renewable energy outputs for …

Leveraging machine learning to uncover the dynamic evolution of business models in intelligent manufacturing

W Xie, R Chen, Z Li - Computers & Industrial Engineering, 2024 - Elsevier
This study examines the dynamic evolution of business models in intelligent manufacturing
enterprises, focusing on their adaptation to market demands and technological …

An analysis of performance, pricing, and coordination in a supply chain with cloud services: The impact of data security

S Liu, W Han, Z Zhang, FTS Chan - Computers & Industrial Engineering, 2024 - Elsevier
As an important supporting technology for Industry 4.0 and smart manufacturing, cloud
computing technology facilitated the sharing of digital services and reduced energy …

Integration of improved meta-heuristic and machine learning for optimizing energy efficiency in additive manufacturing process

B Gao, S Peng, T Li, F Wang, J Guo, C Liu, H Zhang - Energy, 2024 - Elsevier
Additive manufacturing (AM) has been a vital element of smart manufacturing. The high
energy intensity or environmental sustainability issue of AM, however, has posed a great …

Digitalization under the dilemma: how does energy saving and emission reduction policy affect enterprise digitalization?

S Ma, H Wen - Journal of Environmental Planning and …, 2024 - Taylor & Francis
Digital transformation is an innovative response by enterprises to cope with the development
dilemma under green development. This study uses the difference-in-differences (DID) …

Energy transition policy, technology innovation and sustainable manufacturing

J Liu, S Zhu - International Review of Economics & Finance, 2024 - Elsevier
This study examines the impact of China's New Energy Pilot City Policy (REPCP) on green
development in the manufacturing sector, focusing on the role of technological innovation …

Urban Green Innovation Driven by Low-Carbon and Smart Initiatives: Evidence from China

Y Zhuo, D Zhuo, L Miao, S Zeng - Heliyon, 2024 - cell.com
Pilot policies for low-carbon and smart cities offer policy support aimed at fostering urban
green innovation. However, research into the synergistic effects of these policies remains …