Process Automation and Workforce Productivity in Industry 4.0 Transition

Authors

  • Ricky Agusiady Universitas Sangga Buana Bandung Author
  • Adang Haryaman Universitas Logistik dan Bisnis Internasional Author

Keywords:

process, automation, workforce, productivity, industry, transition, engineering, integrative review

Abstract

This integrative evidence review examines process automation and workforce productivity in industry 4.0 transition by asking how process automation is connected to workforce productivity and which conditions determine whether that connection becomes operationally meaningful. The article synthesizes peer-reviewed and institutional literature relevant to industrial assets, production systems, infrastructure, and built environments, emphasizing mechanisms, boundary conditions, and measurement choices rather than a universal average effect. The synthesis identifies complementary roles for sensing and condition monitoring, sensor quality, and governance or coordination routines. No survey, interview, experiment, proprietary dataset, or regression estimate is represented as having been collected for this conceptual review.

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References

Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems, 48, 157-169. https://doi.org/10.1016/j.jmsy.2018.01.006

Carvalho, T. P., Soares, F. A. A. M. N., Vita, R., Francisco, R. da P., Basto, J. P., & Alcala, S. G. S. (2019). A systematic literature review of machine learning methods applied to predictive maintenance. Computers & Industrial Engineering, 137, 106024. https://doi.org/10.1016/j.cie.2019.106024

Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N., & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. International Journal of Information Management, 63, 102466. https://doi.org/10.1016/j.ijinfomgt.2021.102466

International Energy Agency. (2023). Energy Efficiency 2023. https://www.iea.org/reports/energy-efficiency-2023

United Nations Environment Programme. (2022). 2022 Global Status Report for Buildings and Construction: Towards a Zero-emission, Efficient and Resilient Buildings and Construction Sector. https://www.unep.org/resources/publication/2022-global-status-report-buildings-and-construction

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Published

2026-09-29

How to Cite

Process Automation and Workforce Productivity in Industry 4.0 Transition. (2026). Journal of Economics, Accounting, Business, Management, Engineering and Society, 2(9). https://kisainstitute.com/index.php/kisainstitute/article/view/149

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