Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions
Abstract In the context of global climate change and sustainable development, enterprise digital transformation has become key to improving efficiency and competitiveness. Digital twin technology, as an emerging tool, enables real-time monitoring, prediction, and optimization by creating dynamic vir...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-12-01
|
| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42162-024-00447-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559110402703360 |
|---|---|
| author | Mengying Cao Wanxiao Song Yanyan Xu |
| author_facet | Mengying Cao Wanxiao Song Yanyan Xu |
| author_sort | Mengying Cao |
| collection | DOAJ |
| description | Abstract In the context of global climate change and sustainable development, enterprise digital transformation has become key to improving efficiency and competitiveness. Digital twin technology, as an emerging tool, enables real-time monitoring, prediction, and optimization by creating dynamic virtual models of real-world processes. This paper explores the impact of digital twin-based transformation on renewable energy investment decisions. Through empirical analysis of over 200 companies globally, the study finds that companies using digital twin technology exhibit higher accuracy and efficiency in renewable energy investment decisions. These companies show improved forecasting of energy consumption and investment returns, gaining a competitive edge. On average, these companies experience a 15% ROI increase for their renewable energy investments and enjoy a 20% acceleration in the decision-making process. Furthermore, the study delves into how the adoption of digital twin technology differs across various company sizes and industries, providing actionable insights and guidance for enterprises embarking on their digital transformation journey. |
| format | Article |
| id | doaj-art-fc0d372d53584d6cb7681e636ed135d1 |
| institution | Kabale University |
| issn | 2520-8942 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Energy Informatics |
| spelling | doaj-art-fc0d372d53584d6cb7681e636ed135d12025-01-05T12:48:08ZengSpringerOpenEnergy Informatics2520-89422024-12-017111710.1186/s42162-024-00447-8Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisionsMengying Cao0Wanxiao Song1Yanyan Xu2School of Business, Guilin University of Electronic TechnologySchool of Business, Guilin University of Electronic TechnologySchool of Business, Guilin University of Electronic TechnologyAbstract In the context of global climate change and sustainable development, enterprise digital transformation has become key to improving efficiency and competitiveness. Digital twin technology, as an emerging tool, enables real-time monitoring, prediction, and optimization by creating dynamic virtual models of real-world processes. This paper explores the impact of digital twin-based transformation on renewable energy investment decisions. Through empirical analysis of over 200 companies globally, the study finds that companies using digital twin technology exhibit higher accuracy and efficiency in renewable energy investment decisions. These companies show improved forecasting of energy consumption and investment returns, gaining a competitive edge. On average, these companies experience a 15% ROI increase for their renewable energy investments and enjoy a 20% acceleration in the decision-making process. Furthermore, the study delves into how the adoption of digital twin technology differs across various company sizes and industries, providing actionable insights and guidance for enterprises embarking on their digital transformation journey.https://doi.org/10.1186/s42162-024-00447-8Digital twin technologyDigital transformation of enterpriseRenewable energyInvestment decisions |
| spellingShingle | Mengying Cao Wanxiao Song Yanyan Xu Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions Energy Informatics Digital twin technology Digital transformation of enterprise Renewable energy Investment decisions |
| title | Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions |
| title_full | Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions |
| title_fullStr | Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions |
| title_full_unstemmed | Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions |
| title_short | Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions |
| title_sort | research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions |
| topic | Digital twin technology Digital transformation of enterprise Renewable energy Investment decisions |
| url | https://doi.org/10.1186/s42162-024-00447-8 |
| work_keys_str_mv | AT mengyingcao researchontheimpactofenterprisedigitaltransformationbasedondigitaltwintechnologyonrenewableenergyinvestmentdecisions AT wanxiaosong researchontheimpactofenterprisedigitaltransformationbasedondigitaltwintechnologyonrenewableenergyinvestmentdecisions AT yanyanxu researchontheimpactofenterprisedigitaltransformationbasedondigitaltwintechnologyonrenewableenergyinvestmentdecisions |