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The inclusive analysis of green technology implementation impacts on employees age, job experience, and size in manufacturing firms: empirical assessment

Author

Listed:
  • Sajjad Alam

    (Zhenzgzhou University)

  • Jianhua Zhang

    (Zhenzgzhou University)

  • Muhammad Usman Shehzad

    (Zhenzgzhou University)

  • Fredrick Ahenkora Boamah

    (Zhenzgzhou University)

  • Bingbing Wang

    (Zhenzgzhou University)

Abstract

Green technology is a sign of sustainability, productivity, and minimizing the negative impacts on the manufacturing process. This study investigates the impacts of green technology implementations (GTI) on employee size, age, and job experience in the manufacturing process. The investigation of three parameters designed the questionnaire approach to get study aims. The questionnaires were distributed to those manufacturing firms that utilize green technologies. To achieve study objectives, linear regression, generalized linear model, and Shannon entropy algorithms were proposed to analyze the empirical data. Based on the examination technique, the GTI influence on labor size indicated that an R-value (0.585), labor age (0.546), and (0.346) was a significant impact. Simultaneously, the data were examined through the Shannon entropy algorithm and the found satisfactory examination of three parameters. The present work was robust evidence via empirical analysis of GTI impacts leading to multiple configurations of employee satisfaction and increment production performance.

Suggested Citation

  • Sajjad Alam & Jianhua Zhang & Muhammad Usman Shehzad & Fredrick Ahenkora Boamah & Bingbing Wang, 2024. "The inclusive analysis of green technology implementation impacts on employees age, job experience, and size in manufacturing firms: empirical assessment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 4467-4486, February.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02891-6
    DOI: 10.1007/s10668-022-02891-6
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