From Training to Transformation: How Human-Centred Practices Shape Smart Manufacturing Outcomes

Hamza Ghulman

doi:10.31181/dmame8220251558

Authors

Hamza Ghulman University of Business and Technology UBT, Jeddah, Saudi Arabia.

DOI:

https://doi.org/10.31181/dmame8220251558

Keywords:

Smart Manufacturing Performance; Workforce Adaptability; Upskilling and Learning, Ergonomics and Safety; Interface Optimization

Abstract

This study investigates the influence of continuous learning and upskilling, ergonomics and safety, and the optimisation of human-cyber-physical interfaces on workforce adaptability and the performance of smart factories. Furthermore, it explores the mediating role of workforce adaptability within this context. Data were collected from a sample of 316 participants employed in the manufacturing sector of Saudi Arabia and analysed using the statistical software JASP version 0.95.4.0. The findings reveal that optimisation of human-cyber-physical interfaces exerts a significant effect on both workforce adaptability and smart factory performance. Regarding continuous learning and upskilling, results indicate a significant relationship with workforce adaptability, yet no direct association with smart factory performance was observed. Similarly, ergonomics and safety practices significantly affect workforce adaptability, but do not directly influence smart factory performance. Workforce adaptability itself was found not to have a direct impact on smart factory performance. Nonetheless, the analysis confirmed that workforce adaptability serves as a mediating factor between continuous learning and upskilling, ergonomics and safety integration, human-cyber-physical interface optimisation, and smart manufacturing performance. The empirical model proposed in this study represents a novel and valuable addition to existing literature. Additionally, the study offers practical recommendations for enhancing smart manufacturing performance within the Saudi Arabian context.

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