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Achieving Supply Chain Agility Through Product–Service Systems Offering.
- Source :
- Journal of Industrial Engineering & Management; 2024, Vol. 17 Issue 2, p611-629, 19p
- Publication Year :
- 2024
-
Abstract
- Purpose: This paper aims to examine the role of collaboration, knowledge transfer, service partner development, information sharing and logistics integration on product–service systems supply chain agility. Design/methodology/approach: Data were collected from 405 official motorcycle service partners in Indonesia using questionnaires and were analyzed using structural equation modelling. Findings: Collaboration has a significant impact on knowledge transfer and information sharing. Information sharing and logistics integration as mediation to improve product–service systems supply chain agility. Likewise, knowledge transfers and service partner development also as mediation to enhance supply chain agility. As a result, collaboration has no significant direct impact to supply chain agility. Research limitations/implications: Given the state of the sampling refers to specific industry, so the generalization of the results will be limited. Practical implications: The model provides insight for managers on how collaboration, knowledge transfer, service partner development, information sharing and logistics integration positively affect product–service systems supply chain agility. Using measurement items of this study, managers can determine and evaluate the current state and formulate strategies to improve their product–service systems supply chain capabilities. Originality/value: The contribution of this study lies in investigating the role of dynamic capabilities for product–service systems offering to improve supply chain agility. This study provides benefits for academicians and industry by filling the gap of the nascent study in product–service systems and supply chain agility. [ABSTRACT FROM AUTHOR]
- Subjects :
- SUPPLY chains
KNOWLEDGE transfer
STRUCTURAL equation modeling
INFORMATION sharing
Subjects
Details
- Language :
- English
- ISSN :
- 20138423
- Volume :
- 17
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Industrial Engineering & Management
- Publication Type :
- Academic Journal
- Accession number :
- 178431135
- Full Text :
- https://doi.org/10.3926/jiem.7521