Abstract
Making full use of network member resources to improve performance has become a strategic choice for manufacturing enterprises. Based on the analysis of member relationship dimensions and manufacture enterprise network types, the influences among member relationship dimensions and their influences on network performance are discussed. The weighting indexes and standards are designed, and structural equation method is used to test the hypothesis. The following results can be obtained: member relationship dimension self-accelerating effects commonly exit, and “the communication’s influence on trust” has become the key for member relation optimization. Trust is important for all networks cooperation. The contract, trust and communication individually become the management key or efficiency, innovation and flexibility manufacturing network.
Highlights
Global economic integration turns the single manufacturing enterprise competition into manufacturing enterprises network competition
Different types of manufacturing enterprises have different ways to improve their network performance: Firstly, some networks achieve value-added through efficient transmission and utilization of resources among members
On the basis of analyzing the dimension of membership, the network member relationship impact on different manufacturing enterprises performance is determined based on contingency theory
Summary
Global economic integration turns the single manufacturing enterprise competition into manufacturing enterprises network competition. Different types of manufacturing enterprises have different ways to improve their network performance: Firstly, some networks achieve value-added through efficient transmission and utilization of resources among members. Lenovo promoted its resources allocation & controlling capability, and improved its producing efficiency & competitive advantage, by optimizing continuous connections among its manufacturing network members. Huawei firstly built its own enterprise network by jointly establishing R&D centers and forming technology alliance with some first-class enterprises and universities, and it continuously improved its innovation ability by integrating technology resources from its network members. Xiaomi formed & expanded the supply chain and enriched the network members through the “sell - buy” mode. It created added-value through the flexible combination of core and auxiliary network members. On the basis of analyzing the dimension of membership, the network member relationship impact on different manufacturing enterprises performance is determined based on contingency theory
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