<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The topic of digital transformation in supply chain optimization has garnered considerable attention in recent years due to its importance. The purpose of the study was to offer empirical evidence and insights into the advantages and obstacles linked with digital transformation in supply chain management. To investigate the effects of digital transformation on supply chain optimization, the research employs a hybrid methodology and comprehensive approach that includes a thorough literature review, the creation of a theoretical framework, and the presentation of empirical finings through various case studies using the predefined selection criteria. The case analyses highlight crucial elements that support effective digital transformations, including real-time data analytics, teamwork, blockchain technology, digital twin augmented and virtual reality and collaborative robots. The practical implications from the findings of this study, proffers insights that can be extremely helpful for professionals in various industrial sectors and businesses planning similar digital transformation journeys. This empirical study with regards to the implication of Digital transformation 5.0 on supply chain management is novel to the body of literature. It is however necessary to conduct more study to confirm the results, apply them to a wider range of businesses, and investigate different aspects of digital transformation in supply chain optimization.</p>
</abstract>

The topic of digital transformation in supply chain optimization has garnered considerable attention in recent years due to its importance. The purpose of the study was to offer empirical evidence and insights into the advantages and obstacles linked with digital transformation in supply chain management. To investigate the effects of digital transformation on supply chain optimization, the research employs a hybrid methodology and comprehensive approach that includes a thorough literature review, the creation of a theoretical framework, and the presentation of empirical finings through various case studies using the predefined selection criteria. The case analyses highlight crucial elements that support effective digital transformations, including real-time data analytics, teamwork, blockchain technology, digital twin augmented and virtual reality and collaborative robots. The practical implications from the findings of this study, proffers insights that can be extremely helpful for professionals in various industrial sectors and businesses planning similar digital transformation journeys. This empirical study with regards to the implication of Digital transformation 5.0 on supply chain management is novel to the body of literature. It is however necessary to conduct more study to confirm the results, apply them to a wider range of businesses, and investigate different aspects of digital transformation in supply chain optimization.

The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study

Production Engineering Archives

This work is licensed under the Creative Commons Attribution 4.0 International License.

The topic of digital transformation in supply chain optimization has garnered considerable attention in recent years due to its importance. The purpose of the...

The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study

Published Online: Feb 22, 2024

Page range: 127 - 135

Received: Dec 03, 2023

Accepted: Jan 19, 2024

DOI: https://doi.org/10.30657/pea.2024.30.12

Keywords
Digital transformation, Supply chain optimization, Industry 5.0

© 2024 Bernardine Chidozie et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study

Published Online: Feb 22, 2024

Page range: 127 - 135

Received: Dec 03, 2023

Accepted: Jan 19, 2024

DOI: https://doi.org/10.30657/pea.2024.30.12

KeywordsDigital transformation, Supply chain optimization, Industry 5.0

© 2024 Bernardine Chidozie et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Digital transformation, Supply chain optimization, Industry 5.0