The role of industry 4.0 in enhancing supply chain management: an empirical analysis of Malaysian manufacturing firms using PLS-SEM

• Main Author: Yeang, Kai Xiang
• Format: Final Year Project / Dissertation / Thesis
• Published: 2024
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.utar.edu.my/6754/1/ME_2100041_FYP_report_%2D_KAI_XIANG_YEANG.pdf; http://eprints.utar.edu.my/6754/

The rapid emerging of digital revolution and intelligent technologies have reshaping the operations in every sectors include the supply chain of manufacturing sector globally. This empirical study explores into how supply chain management (SCM) and performance (SCP) are affected by Industry 4.0 (IR4.0) as well as how SCM mediates this relation in manufacturing companies in Malaysia. The study uses Partial Least Square Structural Equation Modelling (PLS-SEM) to assess the correlations between IR4.0, SCM and SCP by utilising empirical data gathered from 108 industrial respondents digitally with Google Forms. The outcomes show that IR4.0 technologies have a favourable impact on SCM and SCP, with SCM behaving as a mediator in this interaction. The study also looks into the managerial and theoretical implications of combining the IR4.0 and SCM. This highlights the need of ongoing planning and effective execution of IR4.0 and SCM simulteneously to further boosting the SCP. In shorts, this study advances the understanding and exploration on how the implementation of IR4.0 and SCM could enhance the SCP of manufacturing firms in Malaysia, providing insightful information to the academics and managers worldwide.