Factors influencing shippers to use multiple country consolidation services in international distribution centers

Yung-Hsiang Cheng and Yi-Ling Tsai

International Journal of Production Economics, 2009, vol. 122, issue 1, 78-88

Abstract: Multiple country consolidation (MCC) combines cargos from different countries into same destinations by implementing logistics services including assembling, simple processes, packing, and labeling to increase cargos' added value. Facing such an opportunity in global supply chain, international distribution centers (IDCs) need to examine internal resources and their external environment to create more competitive advantages. From the shippers' perspective, this study uses structural equation modeling to examine the causal effect relationship of key factors affecting the use of MCC provided in IDCs. Results show logistics cost advantage, logistics operation efficiency, and logistics information technology service could positively influence the shippers to use MCC provided in IDCs. Several managerial implications were included and could be useful for the decision makers of IDCs and the government.

Keywords: Multiple; country; consolidation; International; distribution; centers; Structural; equation; modeling (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925-5273(09)00146-7
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:122:y:2009:i:1:p:78-88

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 ().