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The impact of digital logistics under the big environment of economy

Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business app...

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Detalles Bibliográficos
Autores principales: Zhang, Liuhua, Gong, Tianbao, Tong, Yanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079085/
https://www.ncbi.nlm.nih.gov/pubmed/37023087
http://dx.doi.org/10.1371/journal.pone.0283613
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author Zhang, Liuhua
Gong, Tianbao
Tong, Yanan
author_facet Zhang, Liuhua
Gong, Tianbao
Tong, Yanan
author_sort Zhang, Liuhua
collection PubMed
description Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business applications are utilized various intelligent techniques to maximize the logistic process. However, the logistic process suffers due to transportation costs, quality, and multinational transportation. These factors frequently affect the region’s economic growth. In addition, most cities are located in remote areas that receive improper logistic support, which minimizes business growth. So, this work analyzes the impact of digital logistics on the region’s economy. The Yangtze River economic belt region, which includes almost 11 cities, is chosen for analysis. The gathered information is processed by Dynamic Stochastic Equilibrium with Statistical Analysis Modelling (DSE-SAM), which predicts the correlation and influence of digital logistics on economic development. Here, the judgment matrix is constructed to reduce the difficulties of data standardization and normalization processes. Then entropy model and statistical correlation analysis are utilized to improve the overall impact analysis process. Finally, the developed DSE-SAM based created system efficiency is compared with the other economic models, such as Spatial Durbin Model (SDM), Coupling Coordination Degree Model (CCDM), and Collaborative Degree Model (CDM). The results of the suggested DSE-SAM model achieve a high correlation of urbanization, logistics, and ecology in the Yangtze River economic belt region compared to other regions.
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spelling pubmed-100790852023-04-07 The impact of digital logistics under the big environment of economy Zhang, Liuhua Gong, Tianbao Tong, Yanan PLoS One Research Article Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business applications are utilized various intelligent techniques to maximize the logistic process. However, the logistic process suffers due to transportation costs, quality, and multinational transportation. These factors frequently affect the region’s economic growth. In addition, most cities are located in remote areas that receive improper logistic support, which minimizes business growth. So, this work analyzes the impact of digital logistics on the region’s economy. The Yangtze River economic belt region, which includes almost 11 cities, is chosen for analysis. The gathered information is processed by Dynamic Stochastic Equilibrium with Statistical Analysis Modelling (DSE-SAM), which predicts the correlation and influence of digital logistics on economic development. Here, the judgment matrix is constructed to reduce the difficulties of data standardization and normalization processes. Then entropy model and statistical correlation analysis are utilized to improve the overall impact analysis process. Finally, the developed DSE-SAM based created system efficiency is compared with the other economic models, such as Spatial Durbin Model (SDM), Coupling Coordination Degree Model (CCDM), and Collaborative Degree Model (CDM). The results of the suggested DSE-SAM model achieve a high correlation of urbanization, logistics, and ecology in the Yangtze River economic belt region compared to other regions. Public Library of Science 2023-04-06 /pmc/articles/PMC10079085/ /pubmed/37023087 http://dx.doi.org/10.1371/journal.pone.0283613 Text en © 2023 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhang, Liuhua
Gong, Tianbao
Tong, Yanan
The impact of digital logistics under the big environment of economy
title The impact of digital logistics under the big environment of economy
title_full The impact of digital logistics under the big environment of economy
title_fullStr The impact of digital logistics under the big environment of economy
title_full_unstemmed The impact of digital logistics under the big environment of economy
title_short The impact of digital logistics under the big environment of economy
title_sort impact of digital logistics under the big environment of economy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079085/
https://www.ncbi.nlm.nih.gov/pubmed/37023087
http://dx.doi.org/10.1371/journal.pone.0283613
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