The implications of Industry 4.0 for managing supply chain disruption and enhancing supply chain resilience: a systematic literature review.
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| Title: | The implications of Industry 4.0 for managing supply chain disruption and enhancing supply chain resilience: a systematic literature review. |
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| Authors: | Ismail, Khalib1 (AUTHOR), Nikookar, Ethan1 (AUTHOR) Ethan_nikookar@uow.edu.au, Pepper, Matthew1 (AUTHOR), Stevenson, Mark2 (AUTHOR) |
| Source: | International Journal of Production Research. Oct2025, Vol. 63 Issue 19, p7278-7304. 27p. |
| Subjects: | Industry 4.0, Supply chain disruptions, Dynamic capabilities, Technological innovations, Risk management in business, Supply chain management, Feasibility studies |
| Abstract: | The increasing susceptibility of modern supply chains to disruptions has become a pressing concern for businesses worldwide. Globalisation, technological advancements, and the rise of a wide range of disruptions, from natural disasters to man-made disasters, have highlighted the need for a better approach to Supply Chain Disruption Management (SCDM). The recent emergence of Industry 4.0 technologies has promised new possibilities in enhancing SCDM. This systematic literature review reveals that while some Industry 4.0 technologies are being utilised to manage supply chain disruptions, a more comprehensive and strategic approach is needed, especially in light of global supply chain disruptions. The findings indicate that only 5 out of the 8 commonly discussed Industry 4.0 technologies are currently being utilised to manage supply chain disruptions with approaches primarily focused on robustness, resilience, and risk management, rather than advancing towards the more recent concepts such as antifragility, viability, and survivability. Drawing on the dynamic capabilities theory, this study introduces a novel middle-range theory elaborating how the integration of Industry 4.0 technologies can contribute to developing the antecedents required for each SCDM approach, ultimately benefiting both researchers and practitioners in the field of supply chain management. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 188316279 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The implications of Industry 4.0 for managing supply chain disruption and enhancing supply chain resilience: a systematic literature review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ismail%2C+Khalib%22">Ismail, Khalib</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nikookar%2C+Ethan%22">Nikookar, Ethan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Ethan_nikookar@uow.edu.au</i><br /><searchLink fieldCode="AR" term="%22Pepper%2C+Matthew%22">Pepper, Matthew</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stevenson%2C+Mark%22">Stevenson, Mark</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Oct2025, Vol. 63 Issue 19, p7278-7304. 27p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chain+disruptions%22">Supply chain disruptions</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+capabilities%22">Dynamic capabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+management+in+business%22">Risk management in business</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chain+management%22">Supply chain management</searchLink><br /><searchLink fieldCode="DE" term="%22Feasibility+studies%22">Feasibility studies</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The increasing susceptibility of modern supply chains to disruptions has become a pressing concern for businesses worldwide. Globalisation, technological advancements, and the rise of a wide range of disruptions, from natural disasters to man-made disasters, have highlighted the need for a better approach to Supply Chain Disruption Management (SCDM). The recent emergence of Industry 4.0 technologies has promised new possibilities in enhancing SCDM. This systematic literature review reveals that while some Industry 4.0 technologies are being utilised to manage supply chain disruptions, a more comprehensive and strategic approach is needed, especially in light of global supply chain disruptions. The findings indicate that only 5 out of the 8 commonly discussed Industry 4.0 technologies are currently being utilised to manage supply chain disruptions with approaches primarily focused on robustness, resilience, and risk management, rather than advancing towards the more recent concepts such as antifragility, viability, and survivability. Drawing on the dynamic capabilities theory, this study introduces a novel middle-range theory elaborating how the integration of Industry 4.0 technologies can contribute to developing the antecedents required for each SCDM approach, ultimately benefiting both researchers and practitioners in the field of supply chain management. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188316279 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207543.2025.2493948 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 7278 Subjects: – SubjectFull: Industry 4.0 Type: general – SubjectFull: Supply chain disruptions Type: general – SubjectFull: Dynamic capabilities Type: general – SubjectFull: Technological innovations Type: general – SubjectFull: Risk management in business Type: general – SubjectFull: Supply chain management Type: general – SubjectFull: Feasibility studies Type: general Titles: – TitleFull: The implications of Industry 4.0 for managing supply chain disruption and enhancing supply chain resilience: a systematic literature review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ismail, Khalib – PersonEntity: Name: NameFull: Nikookar, Ethan – PersonEntity: Name: NameFull: Pepper, Matthew – PersonEntity: Name: NameFull: Stevenson, Mark IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 63 – Type: issue Value: 19 Titles: – TitleFull: International Journal of Production Research Type: main |
| ResultId | 1 |