TY - JOUR
T1 - Postponement strategy from a supply chain perspective: cases from China
AU - Yeung, Jeff Hoi Yan
AU - Selen, Willem
AU - Deming, Zhou
AU - Zhang, Min
N1 - Emerald Literati Network 2008 Highly Commended Award
PY - 2007
Y1 - 2007
N2 - Purpose – This research widens the scope of the use of postponement by addressing how the generic supply chain structure and information sharing/relationship among supply chain actors affects the postponement decision, based on empirical data of Chinese manufacturers in the Pearl River Delta.
Design/methodology/approach – Case analysis, cross-case comparisons, semi-structured interviews.
Findings – A cross-case analysis including study of the downstream structure, downstream relationship, upstream structure, upstream relationship, production method and inventory position produced a postponement classification into five categories: balanced structure without customer information; customer dominated; manufacturer dominated; balanced structure with loose suppliers, and finally virtual supply chain. Based on this classification, two propositions are postulated: when a supply chain has a balanced structure, it should use speculation or production postponement. When the supply chain has an unbalanced structure, it should use purchasing postponement or product development postponement.
Research limitations/implications – This study is exploratory in nature, and more empirical data is needed to further validate the postulated results. Another limitation of the study is in its measurement of postponement, measured in this instance by the production method and inventory positions used. Other characteristics of postponement may be included in future research.
Practical implications – This research has extended the scope of the use of postponement by addressing how the generic supply chain structure and information sharing/relationship among supply chain actors affects the postponement decision.
Originality/value – Addresses postponement on the level of the supply chain, rather than company-level. Addresses how the supply chain structure (balanced/unbalanced) and information sharing/relationship among supply chain actors affect the postponement decision.
AB - Purpose – This research widens the scope of the use of postponement by addressing how the generic supply chain structure and information sharing/relationship among supply chain actors affects the postponement decision, based on empirical data of Chinese manufacturers in the Pearl River Delta.
Design/methodology/approach – Case analysis, cross-case comparisons, semi-structured interviews.
Findings – A cross-case analysis including study of the downstream structure, downstream relationship, upstream structure, upstream relationship, production method and inventory position produced a postponement classification into five categories: balanced structure without customer information; customer dominated; manufacturer dominated; balanced structure with loose suppliers, and finally virtual supply chain. Based on this classification, two propositions are postulated: when a supply chain has a balanced structure, it should use speculation or production postponement. When the supply chain has an unbalanced structure, it should use purchasing postponement or product development postponement.
Research limitations/implications – This study is exploratory in nature, and more empirical data is needed to further validate the postulated results. Another limitation of the study is in its measurement of postponement, measured in this instance by the production method and inventory positions used. Other characteristics of postponement may be included in future research.
Practical implications – This research has extended the scope of the use of postponement by addressing how the generic supply chain structure and information sharing/relationship among supply chain actors affects the postponement decision.
Originality/value – Addresses postponement on the level of the supply chain, rather than company-level. Addresses how the supply chain structure (balanced/unbalanced) and information sharing/relationship among supply chain actors affect the postponement decision.
U2 - 10.1108/09600030710752532
DO - 10.1108/09600030710752532
M3 - Article
VL - 37
SP - 331
EP - 356
JO - International Journal of Physical Distribution & Logistics Management
JF - International Journal of Physical Distribution & Logistics Management
SN - 0960-0035
IS - 4
ER -