A model for knowledge transfer in a multi-agent organization based on lattice kinetic model

doi:10.21629/JSEE.2020.01.16

Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (1): 156-167.doi: 10.21629/JSEE.2020.01.16

收稿日期:2019-01-24 出版日期:2020-02-20 发布日期:2020-02-25

A model for knowledge transfer in a multi-agent organization based on lattice kinetic model

Weiwei WU¹(), Qian MA^1,³(), Yexin LIU^2,*(), Yongjun KIM¹()

¹ School of Management, Harbin Institute of Technology, Harbin 150001, China
² School of Economics and Management, Harbin Institute of Technology at Weihai, Weihai 264209, China
³ Beijing Institute of Aerospace Information, Beijing 100854, China

Received:2019-01-24 Online:2020-02-20 Published:2020-02-25
Contact: Yexin LIU E-mail:wuweiwei@hit.edu.cn;164164851@qq.com;liuyexin1990@163.com;kimyongjun@hit.edu.cn
About author:WU Weiwei was born in 1978. He is a professor at Harbin Institute of Technology. He received his Ph.D. degree in management from Harbin Institute of Technology. His research interests are technology management and knowledge management. E-mail: wuweiwei@hit.edu.cn|MA Qian was born in 1983. She is a Ph.D. candidate at School of Management, Harbin Institute of Technology. She is working in Beijing Institute of Aerospace Information as a senior engineering. Her research interests are technology management, knowledge management, and systems engineering. E-mail: 164164851@qq.com|LIU Yexin was born in 1990. He is an assistant professor at Harbin Institute of Technology at Weihai. He received his Ph.D. degree in management from Harbin Institute of Technology. His research interest is technology management. E-mail: liuyexin1990@163.com|KIM Yongjun was born in 1980. He is a Ph.D. candidate at Harbin Institute of Technology. His research interest is knowledge management. E-mail: kimyongjun@hit.edu.cn
Supported by:
the National Natural Science Foundation of China(71472055);the National Natural Science Foundation of China(71871007);National Social Science Foundation of China(16AZD0006);Heilongjiang Philosophy and Social Science Research Project(19GLB087);the Fundamental Research Funds for the Central Universities(HIT.NSRIF.2019033);This work was supported by the National Natural Science Foundation of China (71472055; 71871007), National Social Science Foundation of China (16AZD0006), Heilongjiang Philosophy and Social Science Research Project (19GLB087), and the Fundamental Research Funds for the Central Universities (HIT.NSRIF.2019033)

摘要/Abstract

Abstract:

A study on knowledge transfer in a mutli-agent organization is performed by applying the basic principle in physics such as the kinetic theory. Based on the theoretical analysis of the knowledge accumulation process and knowledge transfer attributes, a special type of knowledge field (KF) is introduced and the knowledge diffusion equation (KDE) is developed. The evolution of knowledge potential is modeled by lattice kinetic equation and verified by numerical experiments. The new equation-based modeling developed in this paper is meaningful to simulate and predict the knowledge transfer process in firms. The development of the lattice kinetic model (LKM) for knowledge transfer can contribute to the knowledge management theory, and the managers can also simulate the knowledge accumulation process by using the LKM.

Key words: knowledge transfer, multi-agent system, knowledge field (KF), lattice kinetic model (LKM), knowledge diffusion equation (KDE)

. [J]. Journal of Systems Engineering and Electronics, 2020, 31(1): 156-167.

Weiwei WU, Qian MA, Yexin LIU, Yongjun KIM. A model for knowledge transfer in a multi-agent organization based on lattice kinetic model[J]. Journal of Systems Engineering and Electronics, 2020, 31(1): 156-167.

图/表 11

参考文献 32

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Parameter	Variable	Value region
Innovation capability	$\alpha$	[0.005, 0.03]
Initial potential	$\varphi _0$	[0, 0.1]
Learning curve coefficient	$\lambda$	[0.02, 0.1]
Depreciation rate	$\delta$	[0.001, 0.005]
Knowledge diffusivity	${D}$	[0, 1]

A model for knowledge transfer in a multi-agent organization based on lattice kinetic model

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