2024
DOI: 10.1016/j.cie.2023.109825
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Digital technology and manufacturing industrial change: Evidence from the Chinese manufacturing industry

Weihong Xie,
Diwen Zheng,
Zhongshun Li
et al.
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Cited by 13 publications
(2 citation statements)
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“…In [25], a risk matrix was built, which is an effective tool that helps analyze the probability of potential risk for optimizing the operation of the digital ecosystem. Work [26] describes the relevance and practical aspects of the implementation of digital technologies in the activities of enterprises and, in particular, production management, which will improve the cooperation of pharmacies with direct manufacturers of medicinal products. The organizational model of interaction can also be supplemented by the division of tasks in the interprofessional medication management program described in [27].…”
Section: Discussion Of Results Of Category Management Diagnostics In ...mentioning
confidence: 99%
“…In [25], a risk matrix was built, which is an effective tool that helps analyze the probability of potential risk for optimizing the operation of the digital ecosystem. Work [26] describes the relevance and practical aspects of the implementation of digital technologies in the activities of enterprises and, in particular, production management, which will improve the cooperation of pharmacies with direct manufacturers of medicinal products. The organizational model of interaction can also be supplemented by the division of tasks in the interprofessional medication management program described in [27].…”
Section: Discussion Of Results Of Category Management Diagnostics In ...mentioning
confidence: 99%
“…Borrowing from the theory of resource orchestration, digital technology at the enterprise level can effectively utilize vast data resources. It uses data as the basic element to optimize production and manufacturing (Xie et al, 2024) so that it can strip and reuse the enterprise's idle resources in time and build a more reasonable and better resource combination within the enterprise, thus controlling carbon emissions (Wen et al, 2022). Generally, lower carbon emissions indicate a better carbon performance of an enterprise (Wang S. Y. et al, 2023).…”
Section: Introductionmentioning
confidence: 99%