000 02975nam a2200265 4500
005 20250503124625.0
008 250503b |||||||| |||| 00| 0 eng d
020 _a9783031638749
082 _a658.7
_bKAN
100 _aKang, Parminder Singh
_923748
245 _aService 4.0:
_btechnology-enabled customer-centric supply chains
260 _bSpringer
_aCham
_c2024
300 _axv, 78 p.
365 _aEUR
_b49.99
490 _aSpringer Briefs in Service Science
500 _aTable of contents: Front Matter Pages i-xv Download chapter PDF Introduction to Service 4.0 and Customer-Centric Supply Chains Parminder Singh Kang, Xiaojia Wang, Joong Y. Son, Mohsin Jat Pages 1-10 Role of Big Data in Customer-Centric Service-Based Supply Chains Parminder Singh Kang, Xiaojia Wang, Joong Y. Son, Mohsin Jat Pages 11-33 Analytics Models for Customer-Centric Service-Based Supply Chains Parminder Singh Kang, Xiaojia Wang, Joong Y. Son, Mohsin Jat Pages 35-55 Achieving Customer-Centricity Through Data Analytics: Case Study on Women’s Clothing E-Commerce Reviews Parminder Singh Kang, Xiaojia Wang, Joong Y. Son, Mohsin Jat Pages 57-70 Future of Customer-Centric Service-Based Supply Chains Parminder Singh Kang, Xiaojia Wang, Joong Y. Son, Mohsin Jat Pages 71-78 [https://link.springer.com/book/10.1007/978-3-031-63875-6]
520 _aThis 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. (https://link.springer.com/book/10.1007/978-3-031-63875-6)
650 _aBusiness logistics
650 _aSupply chain management
650 _aCustomer services
700 _aWang, Xiaojia
_923749
700 _aSon, Joong Y
_923750
700 _aJat, Mohsin
_923751
942 _cBK
_2ddc
999 _c9755
_d9755