Title :
A strategic alliance formation framework for adaptive supply chains
Author :
Xu Junqin ; Zhang Jihui
Author_Institution :
Coll. of Math., Qingdao Univ., Qingdao, China
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.
Keywords :
organisational aspects; strategic planning; supply chain management; adaptive supply chains; alliance management; alliance partners; corporations; fierce competitive environment; firm partner selection analytical thinking; ill-conceived overall alliance strategy; multicriteria decision process; narrowly focused industry; strategic alliance formation framework; strategic partner selection; Collaboration; Entropy; Indexes; Industries; Organizations; Supply chains; Adaptive Supply chain; Entropy Method; Partner Selection; Strategic Alliance; Supply Chain Management;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768