Is it possible for semiconductor companies to reduce carbon emissions through digital transformation? Evidence from China DOI
Deyuan Zheng, Hang Song, Chunguang Zhao

и другие.

International Journal of Production Economics, Год журнала: 2024, Номер 272, С. 109246 - 109246

Опубликована: Апрель 21, 2024

Язык: Английский

Energy-saving targets and carbon neutrality: A perspective on carbon emissions and carbon substitution in 288 Chinese cities DOI

Ziling Yu,

Zhe Wang,

Lili Ma

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 356, С. 120523 - 120523

Опубликована: Март 16, 2024

Язык: Английский

Процитировано

20

How does digital government affect carbon intensity at the global level? New perspective of resource allocation optimization DOI
Yanchao Feng,

Gaoxiang Liu,

Xiangxu Meng

и другие.

Resources Policy, Год журнала: 2024, Номер 94, С. 105108 - 105108

Опубликована: Май 30, 2024

Язык: Английский

Процитировано

18

Innovating for a Greener Future: Do Digital Transformation and Innovation Capacity Drive Enterprise Green Total Factor Productivity in the Knowledge Economy? DOI
Joana Cobbinah, Abednego Osei, Joseph Owusu Amoah

и другие.

Journal of the Knowledge Economy, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

2

Artificial intelligence (AI)‐driven strategic business model innovations in small‐ and medium‐sized enterprises. Insights on technological and strategic enablers for carbon neutral businesses DOI
Aqueeb Sohail Shaik, Safiya Mukhtar Alshibani, Girish Jain

и другие.

Business Strategy and the Environment, Год журнала: 2023, Номер 33(4), С. 2731 - 2751

Опубликована: Ноя. 21, 2023

Abstract This study investigates the enhancement of technological and strategic enablers for carbon‐neutral businesses (CNB) through artificial intelligence (AI)‐driven business model innovation (AIDBMI). Drawing upon insights gained from literature review, employs structural equation modeling (partial least squares [PLS‐SEM]) as methodology to examine relationships between AIDBMI, enablers, attainment carbon neutrality. The sample size consists 326 small‐ medium‐sized enterprises (SMEs) in United States America. findings this affirm significant positive AIDBMI both CNB. utilization AI technologies proves be instrumental fostering development implementation innovative models that integrate sustainability practices address environmental challenges. By leveraging SMEs can harness advancements adopt energy‐efficient processes, embrace renewable energy solutions, implement effective reduction strategies. Moreover, highlights critical role driving transition towards alignment goals with organizational strategies, stakeholder collaboration, employee engagement emerge pivotal factors enabling effectively utilize leverage achieve implications contribute existing by highlighting importance creating integrating organizations drive sustainable transformations, optimize their operations, align resource management practices. These provide valuable guidance SMEs, policymakers, researchers seeking foster practices, promote neutrality, advancement a low‐carbon economy.

Язык: Английский

Процитировано

26

How does digital transformation affect corporate social responsibility performance? From the dual perspective of internal drive and external governance DOI Open Access
Ziyuan Sun, Wang Wenjiao, Wei Wang

и другие.

Corporate Social Responsibility and Environmental Management, Год журнала: 2023, Номер 31(2), С. 1156 - 1176

Опубликована: Сен. 24, 2023

Abstract Digital transformation has become a wave sweeping across the globe, affecting all industries with unprecedented speed and breadth, it is urgent to introduce digital into corporate social responsibility (CSR) field. This study aims investigate impact of on CSR performance its influencing mechanism. The findings are as follows: (1) can improve performance; (2) from dual perspective internal drive external governance, we figure out that improves by improving green management innovation analyst coverage; (3) further analysis shows differs under different resource endowments institutional environments (i.e., formal informal institutions). Specifically, this promoting effect only reflected incorporates more resources human resources, cultural employment economic resources), strong environmental enforcement or high media attention. In context transformation, enriches mechanism great practical significance for corporates, markets, governments other stakeholders. Meanwhile, guidance corporates fulfill their achieve sustainable development goals in era.

Язык: Английский

Процитировано

23

How does digital transformation affect the total factor productivity of China's A-share listed enterprises in the mineral resource-based sector? DOI

Shan Lu,

Sihan Peng,

Jiaxin Shi

и другие.

Resources Policy, Год журнала: 2024, Номер 94, С. 105146 - 105146

Опубликована: Июнь 5, 2024

Язык: Английский

Процитировано

13

Digital transformation and green total factor productivity in the semiconductor industry: The role of supply chain integration and economic policy uncertainty DOI
Lan Gao, Ruting Huang

International Journal of Production Economics, Год журнала: 2024, Номер 274, С. 109313 - 109313

Опубликована: Июнь 15, 2024

Язык: Английский

Процитировано

12

The cost of pollution in the digital era: Impediments of air pollution on enterprise digital transformation DOI
Weilong Wang, Deheng Xiao, Jianlong Wang

и другие.

Energy Economics, Год журнала: 2024, Номер 134, С. 107575 - 107575

Опубликована: Апрель 25, 2024

Язык: Английский

Процитировано

11

Energy supply chain efficiency in the digital era: Evidence from China's listed companies DOI
Shuke Fu,

Yingchen Ge,

Hao Yu

и другие.

Energy Economics, Год журнала: 2024, Номер 134, С. 107597 - 107597

Опубликована: Апрель 29, 2024

Язык: Английский

Процитировано

11

The mechanism of supply chain efficiency in enterprise digital transformation and total factor productivity DOI
Yuqiang Teng, Min Du, Boqiang Lin

и другие.

International Review of Financial Analysis, Год журнала: 2024, Номер unknown, С. 103583 - 103583

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

11