Achieving a just–in–time supply chain: The role of supply chain intelligence
Jie Yang,
Hongming Xie,
Guangsheng Yu and
Mingyu Liu
International Journal of Production Economics, 2021, vol. 231, issue C
Abstract:
Drawing upon three strategies of demand-driven supply chain intelligence, this study examines the effects of three factors of demand-driven supply chain intelligence, including customer knowledge management capability, knowledge sharing, and cooperation, on a JIT supply chain, which is operationalized by production planning, sourcing, and logistics. It also assesses the effect of a JIT supply chain on operational performance. Employing path analysis on the data collected from manufacturing firms, this study offers empirical evidence of the pivotal role of demand-driven supply chain intelligence in achieving a JIT supply chain and its resultant performance implications. The theoretical and practical contributions are addressed.
Keywords: Supply chain intelligence; JIT supply Chain; Performance (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527320302358
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:231:y:2021:i:c:s0925527320302358
DOI: 10.1016/j.ijpe.2020.107878
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().