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

Author

Listed:
  • Shiya Gao

    (School of Management, Wuhan Polytechnic University, Wuhan 430023, China
    These authors contributed equally to this work.)

  • Zeyu Wang

    (School of Public Administration, Guangzhou University, Guangzhou 510006, China
    These authors contributed equally to this work.)

  • Shaoxiang Jiang

    (National School of Development, Peking University, Beijing 100871, China)

  • Wen Ding

    (Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 6J5, Canada)

  • Yuchen Wang

    (Carey School of Business, Johns Hopkins University, Baltimore, MD 21202, USA)

  • Xiufang Dong

    (School of Public Administration, Guangzhou University, Guangzhou 510006, China)

Abstract

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.

Suggested Citation

  • Shiya Gao & Zeyu Wang & Shaoxiang Jiang & Wen Ding & Yuchen Wang & Xiufang Dong, 2022. "Optimization of Work Environment and Community Labor Health Based on Digital Model—Empirical Evidence from Developing Countries," IJERPH, MDPI, vol. 19(20), pages 1-17, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13114-:d:940054
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