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Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries

As far as we know, for large manufacturing enterprises, there is often a community of labor gathered around such enterprises, which is especially used as a place for the enterprise to place the labor force. This paper aimed to update the industry model of Chinese Manufacturing Enterprises (CMEs) to...

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Detalles Bibliográficos
Autores principales: Gao, Shiya, Wang, Zeyu, Jiang, Shaoxiang, Ding, Wen, Wang, Yuchen, Dong, Xiufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603667/
https://www.ncbi.nlm.nih.gov/pubmed/36293694
http://dx.doi.org/10.3390/ijerph192013114
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author Gao, Shiya
Wang, Zeyu
Jiang, Shaoxiang
Ding, Wen
Wang, Yuchen
Dong, Xiufang
author_facet Gao, Shiya
Wang, Zeyu
Jiang, Shaoxiang
Ding, Wen
Wang, Yuchen
Dong, Xiufang
author_sort Gao, Shiya
collection PubMed
description As far as we know, for large manufacturing enterprises, there is often a community of labor gathered around such enterprises, which is especially used as a place for the enterprise to place the labor force. This paper aimed to update the industry model of Chinese Manufacturing Enterprises (CMEs) to improve workers’ health management. This work first discusses the value, mode, and process of Enterprise Digital Transformation (EDT) and Worker Health and Safety Management (WHSM). Then, it proposes the CMEs-oriented EDT model and WHSM system based on Big Data Technology (BDT) and the Internet of Things (IoT). The proposed model and system are verified through a case study on the Shanghai BYD manufacturing enterprise (short for BYD) using the Fuzzy Comprehensive Evaluation Method (CFEM). The EDT model verification considers the adaptation and performance of enterprises after EDT. The WHSM system considers workers’ oxygen inhalation status to evaluate their heart and cardiovascular health. The results show that EDT improves the enterprise’s revenue and reshuffles the revenue structure. The EDT model has absolute adaptability to BYD. It has greatly improved BYD’s indexes, especially financial performance, market capability, and technical capability.
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spelling pubmed-96036672022-10-27 Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries Gao, Shiya Wang, Zeyu Jiang, Shaoxiang Ding, Wen Wang, Yuchen Dong, Xiufang Int J Environ Res Public Health Article As far as we know, for large manufacturing enterprises, there is often a community of labor gathered around such enterprises, which is especially used as a place for the enterprise to place the labor force. This paper aimed to update the industry model of Chinese Manufacturing Enterprises (CMEs) to improve workers’ health management. This work first discusses the value, mode, and process of Enterprise Digital Transformation (EDT) and Worker Health and Safety Management (WHSM). Then, it proposes the CMEs-oriented EDT model and WHSM system based on Big Data Technology (BDT) and the Internet of Things (IoT). The proposed model and system are verified through a case study on the Shanghai BYD manufacturing enterprise (short for BYD) using the Fuzzy Comprehensive Evaluation Method (CFEM). The EDT model verification considers the adaptation and performance of enterprises after EDT. The WHSM system considers workers’ oxygen inhalation status to evaluate their heart and cardiovascular health. The results show that EDT improves the enterprise’s revenue and reshuffles the revenue structure. The EDT model has absolute adaptability to BYD. It has greatly improved BYD’s indexes, especially financial performance, market capability, and technical capability. MDPI 2022-10-12 /pmc/articles/PMC9603667/ /pubmed/36293694 http://dx.doi.org/10.3390/ijerph192013114 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gao, Shiya
Wang, Zeyu
Jiang, Shaoxiang
Ding, Wen
Wang, Yuchen
Dong, Xiufang
Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries
title Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries
title_full Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries
title_fullStr Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries
title_full_unstemmed Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries
title_short Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries
title_sort optimization of work environment and community labor health based on digital model—empirical evidence from developing countries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603667/
https://www.ncbi.nlm.nih.gov/pubmed/36293694
http://dx.doi.org/10.3390/ijerph192013114
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