Achieving supply chain agility through product-service systems offering

Dian Retno Sari Dewi, Yustinus Budi Hermanto

Abstract


Purpose: This paper aims to examine the role of collaboration, knowledge transfer, service partner development, information sharing and logistics integration on 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 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 proposed model provides insight for managers on how collaboration, knowledge transfer, service partner development, information sharing and logistics integration affect supply chain agility. Using measurement items of this study, managers can determine and evaluate the current state and formulate strategies to improve their supply chain capabilities.

Originality/value: The contribution of this study lies in investigating the role of dynamic capabilities for PSS offering to improve supply chain agility. This study provides benefits for academics and industry by filling the gap of the nascent study in Product–Service Systems and supply chain agility.


Keywords


Supply chain agility, product–service systems, dynamic capabilities, collaboration

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DOI: https://doi.org/10.3926/jiem.7521


Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Journal of Industrial Engineering and Management, 2008-2024

Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008

Publisher: OmniaScience