TY - JOUR
T1 - Application of Big Data in a Multicategory Product-Service System for Global Logistics Support
AU - Lin, Chinho
AU - Lin, Meichun
N1 - Publisher Copyright:
© 1973-2011 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - This article conducts a case study with a global logistics service value-added (GLSV) system using big data analytics (BDA), which is implemented in a machinery equipment manufacturing company to provide a multicategory product-service system (PSS) intended to enhance firm performance. Drawing on the product-service system (PSS) concept, application of big data analytics, and strategic information systems planning (SISP), the plan do check action (PDCA) concept is used to develop a research framework in order to achieve the target company's objectives through the use of a global logistics system. The current article considers a machinery and equipment company located in a developing country as the case study. Through the case study, it is ascertained how the case company develops a GLSV system with BDA applications that leads to achieving multicategory PSS applications. The results indicate that a successful multicategory PSS should consider customer demands in the system framework and construct innovative assisting functions to support customer requirements. The proposed model not only demonstrates that a firm's business models should apply big data to align product providers with multicategory product-and-service providers for the PSS in global supply chains but also proves that this approach will enhance competitive advantage.
AB - This article conducts a case study with a global logistics service value-added (GLSV) system using big data analytics (BDA), which is implemented in a machinery equipment manufacturing company to provide a multicategory product-service system (PSS) intended to enhance firm performance. Drawing on the product-service system (PSS) concept, application of big data analytics, and strategic information systems planning (SISP), the plan do check action (PDCA) concept is used to develop a research framework in order to achieve the target company's objectives through the use of a global logistics system. The current article considers a machinery and equipment company located in a developing country as the case study. Through the case study, it is ascertained how the case company develops a GLSV system with BDA applications that leads to achieving multicategory PSS applications. The results indicate that a successful multicategory PSS should consider customer demands in the system framework and construct innovative assisting functions to support customer requirements. The proposed model not only demonstrates that a firm's business models should apply big data to align product providers with multicategory product-and-service providers for the PSS in global supply chains but also proves that this approach will enhance competitive advantage.
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U2 - 10.1109/EMR.2019.2953027
DO - 10.1109/EMR.2019.2953027
M3 - Article
AN - SCOPUS:85078238163
VL - 47
SP - 108
EP - 118
JO - IEEE Engineering Management Review
JF - IEEE Engineering Management Review
SN - 0360-8581
IS - 4
M1 - 8901213
ER -