数字化
独创性
数字化转型
产业组织
产品(数学)
业务
价值(数学)
生产(经济)
环境经济学
工程类
计算机科学
经济
电信
微观经济学
数学
几何学
机器学习
创造力
政治学
法学
万维网
作者
Anhang Chen,Huiqin Zhang,Yuxiang Zhang,Junwei Zhao
出处
期刊:Industrial Management and Data Systems
[Emerald (MCB UP)]
日期:2023-11-28
卷期号:124 (2): 541-563
被引量:4
标识
DOI:10.1108/imds-06-2023-0382
摘要
Purpose The digital economy is profoundly transforming the manufacturing industry's fundamental concepts and value creation logic, making digital transformation (DT) strategy a crucial decision for manufacturers. And faced with increasingly severe environmental issues, DT may become an important means to achieve sustainable development. This paper mainly discusses the strategic choice of the manufacturer's DT and analyzes the impact of DT on carbon emissions. Design/methodology/approach Based on the carbon cap-and-trade mechanism, the authors have constructed two decision models to study the DT strategy of the manufacturer, further exploring the impact of the mechanism on the DT strategy and production strategy of the manufacturer. Finally, the authors discussed the effect of manufacturers' DT on their carbon emissions. Findings The authors found that the manufacturer should initiate DT to enhance their competitiveness, regardless of whether they are in a low digital technology scenario or a high digital technology scenario. Notably, DT can enhance the ability of the manufacturer to respond to external emergencies. In a low digital technology market scenario, both carbon emissions per unit of product and carbon price are positively affecting the digitization level of the manufacturer. In a high digital technology market scenario, the manufacturer will initiate a full degree of DT. Moreover, the impact of DT on total carbon emissions varies in markets with different levels of digital technology. Originality/value Innovatively, the authors divided the DT of the manufacturer into market scenarios with low digital technology and high digital technology. Provide the manufacturer with DT decisions according to different scenarios. At the same time, it verifies the uncertainty of DT on carbon emission and enriches the related research.
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