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Impact of enterprise digitalization on green innovation performance under the perspective of production and operation
INTRODUCTION: How enterprises should practice digitalization transformation to effectively improve green innovation performance is related to the sustainable development of enterprises and the economy, which is an important issue that needs to be clarified. METHODS: This research uses the perspectiv...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714327/ https://www.ncbi.nlm.nih.gov/pubmed/36466530 http://dx.doi.org/10.3389/fpubh.2022.971971 |
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author | Li, Hailin Tang, Hongqin Zhou, Wenhao Wan, Xiaoji |
author_facet | Li, Hailin Tang, Hongqin Zhou, Wenhao Wan, Xiaoji |
author_sort | Li, Hailin |
collection | PubMed |
description | INTRODUCTION: How enterprises should practice digitalization transformation to effectively improve green innovation performance is related to the sustainable development of enterprises and the economy, which is an important issue that needs to be clarified. METHODS: This research uses the perspective of production and operation to deconstruct the digitalization of industrial listed enterprises from 2016 to 2020 into six features. A variety of machine learning methods are used, including DBSCAN, CART and other algorithms, to specifically explore the complex impact of enterprise digitalization feature configuration on green innovation performance. CONCLUSIONS: (1) The more advanced digitalization transformation the enterprises have, the more possibly the high green innovation performance can be achieved. (2) Digitalization innovation is the digitalization element with the strongest influence ability on green innovation performance. (3) As the advancement of digitalization transformation, enterprises should also focus on digitalization innovation input and digitalization operation output, otherwise they should pay attention to digitalization management and digitalization operation output. DISCUSSION: The conclusions of this research will help enterprises understand their digitalization competitiveness and how to practice digitalization transformation to enhance green innovation performance, and also help the government to formulate policies to promote the development of green innovation in the digital economy era. |
format | Online Article Text |
id | pubmed-9714327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97143272022-12-02 Impact of enterprise digitalization on green innovation performance under the perspective of production and operation Li, Hailin Tang, Hongqin Zhou, Wenhao Wan, Xiaoji Front Public Health Public Health INTRODUCTION: How enterprises should practice digitalization transformation to effectively improve green innovation performance is related to the sustainable development of enterprises and the economy, which is an important issue that needs to be clarified. METHODS: This research uses the perspective of production and operation to deconstruct the digitalization of industrial listed enterprises from 2016 to 2020 into six features. A variety of machine learning methods are used, including DBSCAN, CART and other algorithms, to specifically explore the complex impact of enterprise digitalization feature configuration on green innovation performance. CONCLUSIONS: (1) The more advanced digitalization transformation the enterprises have, the more possibly the high green innovation performance can be achieved. (2) Digitalization innovation is the digitalization element with the strongest influence ability on green innovation performance. (3) As the advancement of digitalization transformation, enterprises should also focus on digitalization innovation input and digitalization operation output, otherwise they should pay attention to digitalization management and digitalization operation output. DISCUSSION: The conclusions of this research will help enterprises understand their digitalization competitiveness and how to practice digitalization transformation to enhance green innovation performance, and also help the government to formulate policies to promote the development of green innovation in the digital economy era. Frontiers Media S.A. 2022-11-17 /pmc/articles/PMC9714327/ /pubmed/36466530 http://dx.doi.org/10.3389/fpubh.2022.971971 Text en Copyright © 2022 Li, Tang, Zhou and Wan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Li, Hailin Tang, Hongqin Zhou, Wenhao Wan, Xiaoji Impact of enterprise digitalization on green innovation performance under the perspective of production and operation |
title | Impact of enterprise digitalization on green innovation performance under the perspective of production and operation |
title_full | Impact of enterprise digitalization on green innovation performance under the perspective of production and operation |
title_fullStr | Impact of enterprise digitalization on green innovation performance under the perspective of production and operation |
title_full_unstemmed | Impact of enterprise digitalization on green innovation performance under the perspective of production and operation |
title_short | Impact of enterprise digitalization on green innovation performance under the perspective of production and operation |
title_sort | impact of enterprise digitalization on green innovation performance under the perspective of production and operation |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714327/ https://www.ncbi.nlm.nih.gov/pubmed/36466530 http://dx.doi.org/10.3389/fpubh.2022.971971 |
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