دانلود رایگان مقاله انگلیسی روند افزایش دانش نوآوری در شبکه زنجیره تامین از دیدگاه توسعه پایدار - امرالد 2017

ABSTRACT

Purpose –The purpose of this paper is to extend prior supply chain research by describing the process of innovation knowledge increase in supply chain network. More specifically, this study investigates the role of network density, and views the knowledge increase as the process of knowledge diffusion and knowledge innovation. Design/methodology/approach –A Multi-agent model, which demonstrates the process of knowledge increase in supply chain network, was established，and simulated by using NetLogo simulation platform. Findings –The results indicate that the network density will promote the knowledge increase of the supply chain when it is high or low. In the meantime, these results show that the inhibition of knowledge diffusion and knowledge innovation, will appear when network density is moderate. Originality/value –Although previous research has identified the importance of knowledge increase in promoting sustainable development of supply chain, far less attention was given to the study of the effect of network structure on the knowledge increase in supply chain. This study thus fulfills the research gap by providing an description of the process of knowledge increase with the consideration of network density. The conclusion is of great significance for the choice of network density for sustainable development of supply chain.

4. Conclusion, limitations and directions for future research

On the basis of complex network theory and knowledge management theory, the influence of network density on the knowledge increase. of supply chain network was analyzed. Agent-based model and simulation were used to simulate and analyze the process. Our results indicate that the increase of network density is beneficial to knowledge innovation and knowledge diffusion when the entire structure of a whole supply chain network is relatively sparse or dense. At that time, the growth of network density substantially promotes the knowledge increase of the supply chain network. Our findings also show that knowledge growth of the supply chain network will decreases when the network density is in a certain range . It means that the effect of network density on the knowledge increase of supply chain network is nonlinear. A network density that is high or low is conductive to knowledge increase but not the middle value. A cubic relationship between network density and knowledge increase of a supply chain network exists. Furthermore, the most appropriate network densities for knowledge innovation in a supply chain network are equal to those for knowledge increase.

The findings presented here have some suggestions for enterprises. First of all, in order to improve the performance of innovation, the density of supply chain network should continue to increase. Secondly, enterprises in the supply chain network have taken measures, including the harsh management system and technical structure arrangement to mitigate the risk of knowledge leakage. Our research suggests that these actions shouldn’t hinder the sharing and flow of knowledge in supply chain network. Finally, there are still some deficiencies in the process of internal innovation in supply chain network, so it is important for enterprises to strengthen cooperation with the external partners in the field of innovation.