Digital transformation for improved industry and supply chain performance:
In the rapidly evolving landscape of Industry 4.0, integrating digital technologies into supply chain management (SCM) presents opportunities and challenges. While Industry 4.0 promises increased efficiency, productivity, and competitiveness, its impact on sustainability within SCM remains a pressin...
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey PA, USA
IGI Global
[2024]
|
| Series: | Advances in logistics, operations, and management science (ALOMS) book series
|
| Subjects: | |
| Online Access: | DE-91 DE-898 DE-1050 Volltext |
| Summary: | In the rapidly evolving landscape of Industry 4.0, integrating digital technologies into supply chain management (SCM) presents opportunities and challenges. While Industry 4.0 promises increased efficiency, productivity, and competitiveness, its impact on sustainability within SCM remains a pressing concern. Existing literature often needs to look more into the holistic integration of Industry 4.0 technologies with sustainable practices in SCM, leaving a critical gap in understanding and implementation. This gap not only inhibits the realization of sustainable performance but also hinders firms from aligning with global sustainability agendas such as the United Nations Sustainable Development Goals (UNSDG) 2030.Digital Transformation for Improved Industry and Supply Chain Performance offers a comprehensive solution by examining the integration of Industry 4.0 technology and SCM sustainability. It addresses the urgent need for firms to undergo digital transformation to achieve sustainable performance. It provides insights into how Industry 4.0 technologies can be strategically leveraged to promote sustainability in SCM operations. Through in-depth analysis of critical topics such as cybersecurity, resilience, circular economy practices, and ethical considerations, this book equips readers with the knowledge and tools necessary to navigate the complexities of Industry 4.0-enabled SCM sustainability. |
| Physical Description: | 1 Online-Ressource (xvii, 421 Seiten) Illustrationen, Diagramme |
| ISBN: | 9798369353776 |
| DOI: | 10.4018/979-8-3693-5375-2 |
Staff View
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| id | DE-604.BV049735996 |
| illustrated | Illustrated |
| indexdate | 2025-03-12T03:00:36Z |
| institution | BVB |
| isbn | 9798369353776 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035078103 |
| oclc_num | 1443586483 |
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| owner | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
| owner_facet | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
| physical | 1 Online-Ressource (xvii, 421 Seiten) Illustrationen, Diagramme |
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| publisher | IGI Global |
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| series2 | Advances in logistics, operations, and management science (ALOMS) book series |
| spelling | Digital transformation for improved industry and supply chain performance Muhammad Rahies Khan, Naveed R. Khan, Noor Zaman Jhanjhi Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xvii, 421 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in logistics, operations, and management science (ALOMS) book series In the rapidly evolving landscape of Industry 4.0, integrating digital technologies into supply chain management (SCM) presents opportunities and challenges. While Industry 4.0 promises increased efficiency, productivity, and competitiveness, its impact on sustainability within SCM remains a pressing concern. Existing literature often needs to look more into the holistic integration of Industry 4.0 technologies with sustainable practices in SCM, leaving a critical gap in understanding and implementation. This gap not only inhibits the realization of sustainable performance but also hinders firms from aligning with global sustainability agendas such as the United Nations Sustainable Development Goals (UNSDG) 2030.Digital Transformation for Improved Industry and Supply Chain Performance offers a comprehensive solution by examining the integration of Industry 4.0 technology and SCM sustainability. It addresses the urgent need for firms to undergo digital transformation to achieve sustainable performance. It provides insights into how Industry 4.0 technologies can be strategically leveraged to promote sustainability in SCM operations. Through in-depth analysis of critical topics such as cybersecurity, resilience, circular economy practices, and ethical considerations, this book equips readers with the knowledge and tools necessary to navigate the complexities of Industry 4.0-enabled SCM sustainability. Business logistics Data processing Khan, Muhammad Rahies 1986- (DE-588)1324651997 edt Khan, Naveed R. 1982- (DE-588)1321861400 edt Zaman, Noor 1972- (DE-588)1168496519 edt Erscheint auch als Druck-Ausgabe 979-8-3693-5375-2 Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-5376-9 https://doi.org/10.4018/979-8-3693-5375-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Digital transformation for improved industry and supply chain performance Business logistics Data processing |
| title | Digital transformation for improved industry and supply chain performance |
| title_auth | Digital transformation for improved industry and supply chain performance |
| title_exact_search | Digital transformation for improved industry and supply chain performance |
| title_full | Digital transformation for improved industry and supply chain performance Muhammad Rahies Khan, Naveed R. Khan, Noor Zaman Jhanjhi |
| title_fullStr | Digital transformation for improved industry and supply chain performance Muhammad Rahies Khan, Naveed R. Khan, Noor Zaman Jhanjhi |
| title_full_unstemmed | Digital transformation for improved industry and supply chain performance Muhammad Rahies Khan, Naveed R. Khan, Noor Zaman Jhanjhi |
| title_short | Digital transformation for improved industry and supply chain performance |
| title_sort | digital transformation for improved industry and supply chain performance |
| topic | Business logistics Data processing |
| topic_facet | Business logistics Data processing |
| url | https://doi.org/10.4018/979-8-3693-5375-2 |
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