The Application of Rough Sets and Fuzzy Sets in the Supply Chain Knowledge Sharing Risk Early-Warning

2009 ◽  
Author(s):  
Chengdong Shi
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Fuzzy Sets ◽  
Early Warning ◽  
Rough Sets

Research on Green Supply Chain’s Coordination Based on Knowledge Spillover Effect

2012 ◽  
Vol 472-475 ◽  
pp. 2910-2913
Author(s):  
Yong Ye ◽  
Shao Wen Li ◽  
Gui Gen Miao
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Knowledge Spillovers ◽  
Risk Control ◽  
Spillover Effect ◽  
Knowledge Spillover ◽  
Compensation Mechanism ◽  
Coordination Problem ◽  
Benefit Evaluation ◽  
Mechanism Research

GSCM and its members of sharing resources generate knowledge spillover phenomenon within innovation activities.Considering the scarcity and publicity characteristics of knowledge,it puts forwards the driving factors including knowledge sharing cognition,technology gap, the economy and geography space, spill risk control and spill achievements’compensation.According to supply chain benefit coordination problem,it adds members’ participation and contribution factor for Shapley amendment model.Then it verifies rationality of the model by empirical analysis,which would be helpful for further knowledge spillovers benefit evaluation and compensation mechanism research.

A framework for early warning and proactive control systems in food supply chain networks

2010 ◽  
Vol 61 (9) ◽  
pp. 852-862 ◽  
Author(s):  
Y. Li ◽  
M.R. Kramer ◽  
A.J.M. Beulens ◽  
J.G.A.J. van der Vorst
Keyword(s):  
Supply Chain ◽  
Control Systems ◽  
Early Warning ◽  
Food Supply ◽  
Proactive Control ◽  
Food Supply Chain ◽  
Supply Chain Networks

scholarly journals Knowledge Sharing Strategy and Emission Reduction Benefits of Low Carbon Technology Collaborative Innovation in the Green Supply Chain

2022 ◽  
Vol 9 ◽  
Author(s):  
Fuqiang Wang ◽  
Huimin Li ◽  
Yongchao Cao ◽  
Chengyi Zhang ◽  
Yunlong Ran
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Cost Sharing ◽  
Emission Reduction ◽  
Simulation Analysis ◽  
Green Supply Chain ◽  
Low Carbon ◽  
Knowledge Stock ◽  
Effort Level ◽  
The Cost

Knowledge sharing (KS) in the green supply chain (GSC) is jointly determined by the KS efforts of suppliers and manufacturers. This study uses the differential game method to explore the dynamic strategy of KS and the benefits of emission reduction in the process of low carbon (LC) technology in the GSC. The optimal trajectory of the knowledge stock and emission reduction benefits of suppliers and manufacturers under different strategies are obtained. The validity of the model and the results are verified by numerical simulation analysis, and the sensitivity analysis of the main parameters in the case of collaborative sharing is carried out. The results show that in the case of centralized decision-making, the KS efforts of suppliers and manufacturers are the highest, and the knowledge stock and emission reduction benefits of GSC are also the best. The cost-sharing mechanism can realize the Pareto improvement of GSC’s knowledge stock and emission reduction benefits, but the cost-sharing mechanism can only increase the supplier’s KS effort level. In addition, this study found that the price of carbon trading and the rate of knowledge decay have a significant impact on KS. The study provides a theoretical basis for promoting KS in the GSC and LC technology innovation.

scholarly journals SUPPLY CHAIN INTEGRATION AND SUPPLY CHAIN PERFORMANCE: THE ROLE OF KNOWLEDGE SHARING AS A MEDIATOR

2020 ◽  
Author(s):  
Rosmah Mat Isa ◽  
Mohammad Ahmed Mohammad Al Dweiri
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Chain Management ◽  
Supplier Integration

The purpose of this paper is to examine the mediating role of knowledge sharing in the relationship between supply chain integration and supply chain performance. This study used a survey questionnaire for a sample size of 277 managers from various sectors in the manufacturing industry in Jordan.  This study utilised PLS Structural Equation Modeling for testing the hypothesis.  The finding indicates a significant positive relationship between supply chain integration and supply chain performance and that knowledge sharing plays partial mediation in this relationship. This study provides an important implication on the role of knowledge sharing. The performance of the supply chain can be maximised if the supply chain partners share knowledge among them. This will expedite the process of delivering the products to the customers.  Awareness among partners on the importance to share and utilise knowledge better should be raised. The study contributes to the research on supply chain management by advancing the understanding of the role of knowledge sharing that can increase the performance of the supply chain partners.   Keywords: Supply chain integration, supply chain management, knowledge sharing, supply chain performance, supplier integration.

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