Kang / Wang / Son

Service 4.0

Technology-Enabled Customer-Centric Supply Chains

Springer

ISBN 978-3-031-63874-9

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auch verfügbar als eBook (PDF) für 48,14 €

Bibliografische Daten

Fachbuch

Buch. Softcover

2024

22 Farbabbildungen, Bibliographien.

In englischer Sprache

Umfang: xv, 78 S.

Format (B x L): 15,5 x 23,5 cm

Verlag: Springer

ISBN: 978-3-031-63874-9

Weiterführende bibliografische Daten

Das Werk ist Teil der Reihe: SpringerBriefs in Service Science

auch verfügbar als eBook (PDF) für 48,14 €

Produktbeschreibung

This book presents a systematic framework for Service 4.0, including service digitization, digitalization, and digital transformation, which is an integral part of Supply Chain 4.0 in coping with complex, dynamic, and interdependent systems.

It provides a comprehensive state-of-the-art review of digital technologies to support Service 4.0 and Supply Chain 4.0, and discusses important pillars of customer-centric supply chain models. It then explains the role of big data in customer-centric service-based supply chains and links the different types of data needed to promote end-to-end transparency and value co-creation activities to promote these key pillars. Moreover, the book introduces practical models to support analytics for customer-centric supply chains and sheds light on how the industry practically uses existing models to promote service co-creation. A chapter of a case study on women's clothing e-commerce reviews and demonstrates how various data visualization and text mining methods can be used to uncover meaningful insights within the review data.

The book is intended to help students and researchers quickly navigate through various technologies and future research directions in the areas of Service 4.0 and Supply Chain 4.0. It is also a valuable read for practitioners in this field.

Autorinnen und Autoren

Kundeninformationen

Provides a comprehensive review of digital technologies to support Service 4.0 and Supply Chain 4.0 Showcases how to use the analytics models to promote data-driven decisions Offers an integrated approach through a rigorous conceptual framework and practice insights

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