Process of innovation knowledge increase in supply chain network from the perspective of sustainable development
Authored by Dan Zhang, Ching-Hsin Wang, Dengpan Zheng, Xianyun Yu
Date Published: 2018
DOI: 10.1108/imds-06-2017-0243
Sponsors:
Chinese National Natural Science Foundation
Platforms:
NetLogo
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
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 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.
Tags
Adaptation
Simulation
Management
Performance
Dynamics
Memory
Supply chain network
Framework
Impact
Network density
Agent-based model and simulation
Innovation knowledge
increase