Process of innovation knowledge increase in supply chain network from the perspective of sustainable development.

Uloženo v:
Podrobná bibliografie
Název: Process of innovation knowledge increase in supply chain network from the perspective of sustainable development.
Autoři: Zhang, Dan, Wang, Ching-Hsin, Zheng, Dengpan, Yu, Xianyun
Zdroj: Industrial Management & Data Systems; 2018, Vol. 118 Issue 4, p873-888, 16p
Témata: SUPPLY chains, TECHNOLOGICAL innovations, SUSTAINABLE development, NETLOGO (Computer program language), COMPUTER simulation
Abstrakt: 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 a 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. [ABSTRACT FROM AUTHOR]
Copyright of Industrial Management & Data Systems is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
Popis
Abstrakt: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 a 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. [ABSTRACT FROM AUTHOR]
ISSN:02635577
DOI:10.1108/IMDS-06-2017-0243