Cargando…
Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm
This article studies the integration and optimization of green innovation capabilities of enterprises. The integration model of enterprise green innovation capability provides the theoretical basis for cultivating enterprise green innovation capability. However, from the perspective of optimization,...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252668/ https://www.ncbi.nlm.nih.gov/pubmed/35795757 http://dx.doi.org/10.1155/2022/8428641 |
_version_ | 1784740317650485248 |
---|---|
author | Yang, Hailin Liu, Fengming Zhang, Lihong |
author_facet | Yang, Hailin Liu, Fengming Zhang, Lihong |
author_sort | Yang, Hailin |
collection | PubMed |
description | This article studies the integration and optimization of green innovation capabilities of enterprises. The integration model of enterprise green innovation capability provides the theoretical basis for cultivating enterprise green innovation capability. However, from the perspective of optimization, in the life cycle of the enterprise, how the enterprise should reasonably allocate resources and carry out strategic guidance to achieve the optimal green innovation capability of the enterprise is a question worth thinking about. This stage of research starts from different cycle stages of enterprise development, explores the adaptability and evolution of the integration model, and studies the optimization methods of strategies to achieve the goal of matching. This article adopts the ant colony optimization algorithm to support the research on the integration of green innovation capabilities of enterprises. The article describes the principle of the ant colony optimization algorithm in detail by using the combination of text description and formula. In addition, it analyzes the effect of the research through experiments. The results show that the corresponding CITC coefficients of each item of the Green Innovation Scale are between 0.518 and 0.850, which are all greater than the ideal value of 0.4. |
format | Online Article Text |
id | pubmed-9252668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92526682022-07-05 Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm Yang, Hailin Liu, Fengming Zhang, Lihong Comput Intell Neurosci Research Article This article studies the integration and optimization of green innovation capabilities of enterprises. The integration model of enterprise green innovation capability provides the theoretical basis for cultivating enterprise green innovation capability. However, from the perspective of optimization, in the life cycle of the enterprise, how the enterprise should reasonably allocate resources and carry out strategic guidance to achieve the optimal green innovation capability of the enterprise is a question worth thinking about. This stage of research starts from different cycle stages of enterprise development, explores the adaptability and evolution of the integration model, and studies the optimization methods of strategies to achieve the goal of matching. This article adopts the ant colony optimization algorithm to support the research on the integration of green innovation capabilities of enterprises. The article describes the principle of the ant colony optimization algorithm in detail by using the combination of text description and formula. In addition, it analyzes the effect of the research through experiments. The results show that the corresponding CITC coefficients of each item of the Green Innovation Scale are between 0.518 and 0.850, which are all greater than the ideal value of 0.4. Hindawi 2022-06-27 /pmc/articles/PMC9252668/ /pubmed/35795757 http://dx.doi.org/10.1155/2022/8428641 Text en Copyright © 2022 Hailin Yang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yang, Hailin Liu, Fengming Zhang, Lihong Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm |
title | Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm |
title_full | Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm |
title_fullStr | Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm |
title_full_unstemmed | Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm |
title_short | Integration of Green Innovation Capabilities of Enterprises Based on Ant Colony Optimization Algorithm |
title_sort | integration of green innovation capabilities of enterprises based on ant colony optimization algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252668/ https://www.ncbi.nlm.nih.gov/pubmed/35795757 http://dx.doi.org/10.1155/2022/8428641 |
work_keys_str_mv | AT yanghailin integrationofgreeninnovationcapabilitiesofenterprisesbasedonantcolonyoptimizationalgorithm AT liufengming integrationofgreeninnovationcapabilitiesofenterprisesbasedonantcolonyoptimizationalgorithm AT zhanglihong integrationofgreeninnovationcapabilitiesofenterprisesbasedonantcolonyoptimizationalgorithm |