Research On Enterprise Digital Transformation -- Taking Alibaba as an Example DOI Creative Commons
Xiande Zhao

SHS Web of Conferences, Год журнала: 2024, Номер 208, С. 01013 - 01013

Опубликована: Янв. 1, 2024

This paper deeply discusses the background, concept and path of enterprise digital transformation, takes Alibaba Group as a typical case for detailed analysis. In context economy, enterprises realize comprehensive transformation economic model through digitalization, networking intelligent technologies, which promotes wide application cloud computing, big data analysis, artificial intelligence Internet Things. Digital requires companies to fundamentally reshape their core business processes, management systems, models service approaches in response rapidly changing market environment. As has successfully achieved continuous innovation leadership by building platform ecosystem, diversified layout, analysis globalization strategy. summarizes basic principles strategies emphasizes importance data-driven decision-making, culture, organizational structure optimization technology process, provides valuable experience reference other enterprises’ transformation.

Язык: Английский

The role of green and digital technology convergence on carbon emission reduction: evidence from China DOI Creative Commons

Jing Hu,

Qinghui Sun, Wenjing Wang

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Окт. 24, 2024

Green technology has received continuous attention and facing challenges of transformation because the growing environmental concern, especially carbon emissions resulting in global warming. In Industry 4.0 era, green transforms into smart benefits from convergence with digital technologies. However, little research investigates role (GDC) on emission reduction. This study proposes a novel measurement GDC level enterprise based network method examines its pattern dynamic. Moreover, we empirically analyze impact Results show that significant reduction effect. reduces enterprises’ by improving innovation quality. Furthermore, an enterprise’s capability moderates focal relationship. The heterogeneity analysis results reveal effect is stronger large, state-owned, non-labor-intensive heavy-pollution enterprises. findings contribute to better understanding fusion greening digitalization provide useful insights for sustainable development policy-making.

Язык: Английский

Процитировано

3

Higher prices in a more competitive market: The paradox in the retail electricity market in the United Kingdom DOI Creative Commons
Huanhuan Chen, Jinke Li, Nigel C. O’Leary

и другие.

Structural Change and Economic Dynamics, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

Winning by Intelligence: Leveraging the Innovative Advantages of Intelligent Transformation in Market Competition DOI Creative Commons

Jingwen Lv,

Feng Lü, Wei Xiao

и другие.

Systems, Год журнала: 2024, Номер 12(12), С. 581 - 581

Опубликована: Дек. 19, 2024

Intelligent transformation plays an important role in enhancing innovation capabilities. This study utilizes data from 5000 A-share firms China to investigate the effects of intelligent on capability and elucidate underlying mechanisms. We find that (1) there is a positive relationship between capability. Furthermore, pursuing profit maximization sustainable competitive advantage drives capitalize technological dividends enhance substantive (2) affects structure through mechanism total factor productivity market competition. (3) Within transformation, non-state-owned enterprises exert stronger influence capability, but state-owned remain primary drivers innovation. The synergistic effect combined with scale advantages large enterprises, create substantial opportunities for their Additionally, notably enhances both quality labor-intensive enterprises. While capital-intensive experience significant improvements overall has not shown comparable advancements. These findings contribute more accurate evaluation also help cultivate differentiated drive high-quality development empowerment.

Язык: Английский

Процитировано

1

Optimal Strategy of Artificial Intelligence on Low-Carbon Energy Transformation: Perspective from Enterprise Green Technology Innovation Efficiency DOI
Mingtao Zhao, Xuebao Fu,

Jun Sun

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Research On Enterprise Digital Transformation -- Taking Alibaba as an Example DOI Creative Commons
Xiande Zhao

SHS Web of Conferences, Год журнала: 2024, Номер 208, С. 01013 - 01013

Опубликована: Янв. 1, 2024

This paper deeply discusses the background, concept and path of enterprise digital transformation, takes Alibaba Group as a typical case for detailed analysis. In context economy, enterprises realize comprehensive transformation economic model through digitalization, networking intelligent technologies, which promotes wide application cloud computing, big data analysis, artificial intelligence Internet Things. Digital requires companies to fundamentally reshape their core business processes, management systems, models service approaches in response rapidly changing market environment. As has successfully achieved continuous innovation leadership by building platform ecosystem, diversified layout, analysis globalization strategy. summarizes basic principles strategies emphasizes importance data-driven decision-making, culture, organizational structure optimization technology process, provides valuable experience reference other enterprises’ transformation.

Язык: Английский

Процитировано

0