Research on the influence of relation embeddedness on innovation performance of manufacturing supply chain alliances using expert fuzzy rule

Abstract

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.

Keywords

Artificial Intelligence (AI)relation embeddedness shared mental model innovation performance structure equations fuzzy rule

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Research on the influence of relation embeddedness on innovation performance of manufacturing supply chain alliances using expert fuzzy rule –intermediary role of shared mental model

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Keywords

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