Purpose -The right supply chain (SC) strategy is widely believed to be able to improve supply chain management (SCM) performance. Ignoring the important concept of alignment means that failures in SCM resulting from a mismatch between two or more crucial factors remain common. Accordingly, Lee proposed an environmental uncertainty framework to devise the right SC strategy. However, the proposed framework has thus far remained conceptual. Therefore, this study seeks to empirically investigate Lee's uncertainty framework and examine how alignment between SC strategy and environmental uncertainty impacts perceived SCM performance. Design/methodology/approach -A survey was designed and used to collect 243 usable responses from manufacturers. A profile deviation approach was applied to compute the alignment between SC strategy and environmental uncertainty. Findings -The results of the study verify that the alignment between SC strategy and environmental uncertainty is positively associated with SCM performance.Research limitations/implications -The data were collected from a cross-sectional survey and represented a snapshot of practice. Replication from a longitudinal perspective would better reflect long-term impacts of alignment on SCM performance. Practical implications -Different SC strategies are appropriate for distinct environmental uncertainties. It is not enough to simply form an SC strategy for improving SCM performance without considering the alignment between SC strategies and environmental uncertainties. Originality/value -The study empirically examines Lee's uncertainty framework, which has received considerable attention in relation to SCM, but has not previously been clearly verified. The study also develops the a priori theoretical profiles for SC strategies by using an integrated perspective that incorporates both manufacturing and information system capabilities.
This paper utilized fuzzy analytic hierarchy process (FAHP) to explore the differences of green supplier selection among the American, Japanese and Taiwanese Electronics Industry in China. In this study, identification of criteria of green supplier selection is categorized into six criteria and 24 sub-criteria, a multi-criteria decision model is proposed. FAHP then is applied to determine the relative importance for selecting green suppliers among the American, Japanese and Taiwanese Electronics Industry in China. The findings indicate that the supply chain base criterion performs the best for overall ranking from three countries' groups.
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