NDLI: A strategic alliance formation framework for adaptive supply chains

Content Provider	IEEE Xplore Digital Library
Author	Xu Junqin Zhang Jihui
Copyright Year	2011
Description	Author affiliation: Institute of Complexity Science, Qingdao University, 266071, China (Zhang Jihui) \|\| College of Mathematics, Qingdao University, 266071, China (Xu Junqin)
Abstract	Adaptive supply chain is the newest form of supply chains. Its main aim is to sense and respond correctly to dynamic changes in today's fierce competitive environment. Adaptive supply chain has been accepted gradually by more and more corporations. Successful strategic alliance plays an important rule in adaptive supply chains, but too many strategic alliances fail to meet their partners' objectives. While the reasons behind alliance failures are complex, and vary according to type of alliance and industry, many failures result from ill-conceived overall alliance strategies, narrowly focused industry and firm partner selection analytical thinking and models, and poor alliance management, execution and implementation. In particular, the well-informed and strategically driven selection of alliance partners is a core element in building successful alliances. This paper proposed a basic framework for strategic partner selection, a very complicated multi-criteria decision process. Entropy method was used to give a relative justice weight for different objectives. Finally an illustrative example is given to show the usage of the proposed method.
Starting Page	2206
Ending Page	2209
File Size	83846
Page Count	4
File Format	PDF
ISBN	9781457706776
ISSN	21612927
e-ISBN	9789881725592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Industries Strategic Alliance Entropy Method Supply chains Collaboration Partner Selection Organizations Entropy Supply Chain Management Adaptive Supply chain Indexes
Content Type	Text
Resource Type	Article

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