二十一世紀(jì)是知識(shí)經(jīng)濟(jì)時(shí)代,知識(shí)已經(jīng)成為現(xiàn)代社會(huì)生存和發(fā)展的有力武器。尤其是包括國(guó)家或企業(yè)的組織,為了在全球競(jìng)爭(zhēng)環(huán)境下獲取優(yōu)勢(shì),需要不斷提高自己知識(shí)能力。知識(shí)成為企業(yè)在快速變化的知識(shí)社會(huì)中生存和發(fā)展的強(qiáng)大動(dòng)力。知識(shí)社會(huì)的主體是人,企業(yè)中創(chuàng)造、轉(zhuǎn)移和利用知識(shí)主體的是企業(yè)員工,他們是助推知識(shí)社會(huì)發(fā)展的力量。因此,企業(yè)增強(qiáng)員工的知識(shí)責(zé)任、能力和作用,才可以保證在全球競(jìng)爭(zhēng)中的優(yōu)勢(shì)。本文在分析知識(shí)主體特征對(duì)知識(shí)轉(zhuǎn)移的影響以及知識(shí)主體與組織集體屬性之間關(guān)系的基礎(chǔ)上,引入運(yùn)動(dòng)學(xué)理論,構(gòu)建企業(yè)知識(shí)累積過(guò)程的數(shù)學(xué)模型。本文采用的運(yùn)動(dòng)理論最初是為了統(tǒng)計(jì)解釋物理系統(tǒng)中氣體粒子運(yùn)動(dòng)而開(kāi)發(fā)的。在物理學(xué)中,運(yùn)動(dòng)理論的目的是分析由于許多相互作用微觀粒子組成的宏觀系統(tǒng)行為的。一般來(lái)說(shuō),這樣的系統(tǒng)包含眾多粒子,單獨(dú)考慮單個(gè)粒子運(yùn)動(dòng)幾乎是不可能的。因此,本文并不分析每個(gè)粒子的各個(gè)位置和速度,而是通過(guò)檢查粒子位置和速度的概率分布來(lái)獲得整個(gè)系統(tǒng)的宏觀特性。由于物理系統(tǒng)（包括大量粒子的）和社會(huì)群體（包括許多主體的）具有很多共同特征的觀點(diǎn),它們具有固有隨機(jī)性也可以進(jìn)行統(tǒng)計(jì)預(yù)測(cè),因此應(yīng)用運(yùn)動(dòng)理論適用于對(duì)企業(yè)知識(shí)累積過(guò)程的分析。為研究... 

【文章頁(yè)數(shù)】：126 頁(yè)

【學(xué)位級(jí)別】：博士

【文章目錄】：
Abstract (In Chinese)
Abstract (In English)
Chapter 1 Introduction
    1.1 Background of research
    1.2 Purpose of research
    1.3 Literature review
        1.3.1 Knowledge
        1.3.2 Knowledge network
        1.3.3 Knowledge management
        1.3.4 Knowledge transfer
        1.3.5 Econophysical models
        1.3.6 Comments
    1.4 Research content and technical route
        1.4.1 Main contents
Chapter 2 Theoretical analysis for factors affecting firm’s knowledgeaccumulation
    2.1 Knowledge accumulation and knowledge potential
        2.1.1 Concept of knowledge
        2.1.2 Knowledge potential
        2.1.3 The SECI model of knowledge accumulation
    2.2 Affecting factors of the knowledge accumulation
        2.2.1 Attributes of knowledge agent
        2.2.2 Knowledge attributes
    2.3 Affecting factors of knowledge potential
        2.3.1 Relationship attributes
        2.3.2 Environment attributes
    2.4 Summary
Chapter 3 The agent-based model for firm’s knowledge accumulation
    3.1 Features of the agent-based model in knowledge accumulation
    3.2 The ABM construction for knowledge accumulation
        3.2.1 Firm’s knowledge growth
        3.2.2 The evolution for knowledge accumulation
    3.3 Verification and validation of the ABM for knowledge accumulation
        3.3.1 Verification of the model
        3.3.2 Validation of the model
    3.4 Simulation and analysis of the ABM for knowledge accumulation
        3.4.1 Evaluation on knowledge tacitness
        3.4.2 Sensitivity analysis
    3.5 Summary
Chapter 4 The knowledge diffusion modeling based on knowledge potential
    4.1 Building the knowledge potential field
        4.1.1 Field in physics
        4.1.2 Field in social psychology
        4.1.3 Knowledge potential field and its characteristic parameters
    4.2 Knowledge dynamics based on kinetic model
        4.2.1 Kinetic theory and Boltzmann equation
        4.2.2 Generalization of the kinetic model in knowledge dynamics
    4.3 The kinetic model for knowledge diffusion
        4.3.1 Kinetic exchange model for knowledge diffusion
        4.3.2 The Boltzmann equation for knowledge diffusion
    4.4 Summary
Chapter 5 Modeling and simulation of knowledge accumulation based onknowledge diffusion
    5.1 The equation for knowledge accumulation based on knowledge diffusion
    5.2 Solving the knowledge accumulation equation
        5.2.1 Lattice kinetic equation of knowledge potential distribution function
        5.2.2 Arrangement of knowledge potential lattice
    5.3 The application of the knowledge accumulation equation based on knowledgediffusion
        5.3.1 Definite conditions
        5.3.2 Simulation
    5.4 Suggestions for firms to promote knowledge accumulation
    5.5 Summary
Conclusions
References
Papers published in the period of Ph.D. Education
Acknowledgement
Resume


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