A mathematical model study on the two stages of cooperative knowledge creation under the knowledge spillover effect

2014 ◽  
Author(s):  
Sheng Wang
Keyword(s):  
Mathematical Model ◽  
Knowledge Creation ◽  
Spillover Effect ◽  
Knowledge Spillover ◽  
Model Study ◽  
Two Stages ◽  
Cooperative Knowledge

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.

scholarly journals Mathematical model study on the damage of the liquid phase to productivity in the gas reservoir with a bottom water zone

Petroleum ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 209-214 ◽  
Author(s):  
Xiaoliang Huang ◽  
Xiao Guo ◽  
Xinqian Lu ◽  
Xiang Zhou ◽  
Zhilin Qi ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Liquid Phase ◽  
Bottom Water ◽  
Gas Reservoir ◽  
Water Zone ◽  
Model Study

Effective Recruitment of Engineers From Other Companies: Whether to Pull Individuals or Teams?

2021 ◽  
Author(s):  
Ayano Fujiwara ◽  
Toshiya Watanabe
Keyword(s):  
Spillover Effect ◽  
Knowledge Diffusion ◽  
Electronics Industry ◽  
Knowledge Spillover ◽  
Geographical Distance ◽  
Cross Border ◽  
The Relationship ◽  
Effective Conditions

This study empirically analyzes effective conditions for cross-border “learning by hiring” in the electronics industry. Many previous studies have indicated that the mobility of engineers serves as a conduit for knowledge diffusion and that knowledge is more likely transferred when the geographical distance is short, that is, when the conduit is short. However, the relationship between conduit thickness and density and the knowledge spillover effect has only rarely discussed. The findings of this study suggest that it is more effective to hire multiple people simultaneously for learning by hiring from companies in other countries.

A High Performance Model for Task Allocation in Distributed Computing System Using K-Means Clustering Technique

2018 ◽  
Vol 9 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Harendra Kumar ◽  
Nutan Kumari Chauhan ◽  
Pradeep Kumar Yadav
Keyword(s):  
Mathematical Model ◽  
Distributed Computing ◽  
High Performance ◽  
Computing System ◽  
Performance Model ◽  
Communication Costs ◽  
Clustering Technique ◽  
Proposed Model ◽  
Two Stages ◽  
The Mathematical Model

Tasks allocation is an important step for obtaining high performance in distributed computing system (DCS). This article attempts to develop a mathematical model for allocating the tasks to the processors in order to achieve optimal cost and optimal reliability of the system. The proposed model has been divided into two stages. Stage-I, makes the ‘n' clusters of set of ‘m' tasks by using k-means clustering technique. To use the k-means clustering techniques, the inter-task communication costs have been modified in such a way that highly communicated tasks are clustered together to minimize the communication costs between tasks. Stage-II, allocates the ‘n' clusters of tasks onto ‘n' processors to minimize the system cost. To design the mathematical model, executions costs and inter tasks communication costs have been taken in the form of matrices. To test the performance of the proposed model, many examples are considered from different research papers and results of examples have compared with some existing models.

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