最佳的資源利用,競爭優(yōu)勢,經(jīng)濟(jì)增長,國家和機(jī)構(gòu)發(fā)展是現(xiàn)實(shí)商業(yè)世界的主要關(guān)注點(diǎn)。工業(yè)和國家系統(tǒng)的領(lǐng)導(dǎo)人一直在努力制定為現(xiàn)有國家問題提供更好或替代解決方案的方法。國家系統(tǒng)也有相對相似的關(guān)注點(diǎn),特別注重規(guī)范工業(yè)活動(dòng)以實(shí)現(xiàn)國家目標(biāo)。產(chǎn)業(yè)-政府互動(dòng)的相關(guān)性對新興經(jīng)濟(jì)體非常重要。這是因?yàn)?壓倒性的共識支持這樣一個(gè)前提:工業(yè)行動(dòng)是國家增長和經(jīng)濟(jì)發(fā)展的催化劑。工業(yè)以競爭優(yōu)勢作為實(shí)現(xiàn)可持續(xù)性的手段,因此不斷尋求和需要?jiǎng)?chuàng)新。高等教育機(jī)構(gòu)以通過研究、專利和熟練勞動(dòng)力推動(dòng)創(chuàng)新而聞名。撒哈拉以南非洲盡管在過去十年取得了巨大的成就,但在開展相關(guān)研究以創(chuàng)新其內(nèi)部工業(yè)和經(jīng)濟(jì)空間方面仍然面臨著重大挑戰(zhàn)。國家系統(tǒng)已經(jīng)嘗試了幾種方法來審查和解決這些挑戰(zhàn)。學(xué)術(shù)界,工業(yè)界和政府之間的協(xié)同作用被提議為創(chuàng)新國家體系提供催化變革。圍繞這一期望,已經(jīng)提出了幾個(gè)研究假設(shè),其中最流行的是三螺旋創(chuàng)新理論。三螺旋理論在歐洲和西方經(jīng)濟(jì)體中取得了很大的成功,有一些基于證據(jù)的研究和出版物。本論文將三螺旋理論的核心原則擴(kuò)展到撒哈拉以南非洲地區(qū),旨在回顧現(xiàn)有創(chuàng)新網(wǎng)絡(luò)中存在的復(fù)雜性和動(dòng)態(tài)性。在此基礎(chǔ)上,本文假設(shè),對創(chuàng)新網(wǎng)絡(luò)中行動(dòng)者活動(dòng)的關(guān)系動(dòng)力學(xué)和影響的... 

【文章頁數(shù)】：228 頁

【學(xué)位級別】：博士

【文章目錄】：
ACKNOWLEDGEMENT
ABSTRACT
摘要
Chapter1 Introduction
    1.1 Introduction and Conceptual Background
    1.2 Problem Statement
    1.3 Aims and Objectives
    1.4 Research Questions
    1.5 Organisation of the Research Work
    1.6 Main Contribution and Innovation
Chapter2 Literature Review
    2.1 Innovation in Networks
    2.2 Dimensional States of Innovation Networks
    2.3 Public-Private Research Collaborations
    2.4 Policy and Innovation Networks
        2.4.1 Individuals and Spaces
        2.4.2 Network Analysis
    2.5 Conceptual Theories of the Dissertation
        2.5.1 Theory of Innovation Diffusion
        2.5.2 Triple Helix Theory
    2.6 Conceptual Framework
Chapter3 Performance and Innovation Partnership Formation in Triple Helix Networks
    3.1 Introduction
    3.2 Methodology
        3.2.1 Model1 -TOPSIS
        3.2.2 Obtaining Dynamic Weighting with SIR-Fractional Spreading
        3.2.3 Model2 -Artificial Bee Colony(ABC)Optimised Partnership Potential Identification
    3.3 Data Collection
    3.4 Network Analysis
    3.5 Results
        3.5.1 TOPSIS Determined Influence of Actors in the Innovation Network
        3.5.2 Identifying Optimal Partners
        3.5.3 Results on Iteration20 only
    3.6 Discussion
    3.7 Summary
Chapter4 Triple Helix and Sustenance of Innovation Sources
    4.1 Introduction
    4.2 Methodology
        4.2.1 Numerical Model
        4.2.2 Developing the Network
    4.3 Data Analysis
        4.3.1 Network Metrics:Clustering
        4.3.2 Network Metrics:Centrality
    4.4 Results
        4.4.1 Probability of Authorship Acquisition in Funded Research Networks
        4.4.2 Dynamics of Authorship Acquisition
        4.4.3 Discrete and Continuous Co-Author Development
        4.4.4 Dynamics of Authorship Acquisition with Government Funding and non-attrition
    4.5 Summary
Chapter5 Influence of Government Policy Action on Innovation Networks
    5.1 Introduction
    5.2 Government Pushed Policy and Innovation Partnerships
        5.2.1 Government Policy and Firm Innovativeness
        5.2.2 The Contextual Case of Policy Linked Innovation Partnership Networks
    5.3 Methodology
        5.3.1 Measures of Analysis
        5.3.2 Data
    5.4 Data Analysis and Network Plotting
        5.4.1 Summary of Data
        5.4.2 Networks
    5.5 Results
        5.5.1 Structural Evolutional of the Innovation Partnership
        5.5.2 Impact of Structure and Actor Attributes on Research Funding and Research Output
    5.6 Discussion
    5.7 Summary
CHAPTER6 Impact of Imitation on the Innovation Adoption Process in Innovation Networks
    6.1 Introduction
    6.2 Methodology
    6.3 Adoption Probabilities of Diffused Innovation
    6.4 Empirical Test
        6.4.1 Data Collection Method
        6.4.2 Network Development
    6.5 Results
        6.5.1 Multi-Attribute Analysis of Partnership
        6.5.2 Model Tests
    6.6 Discussion
    6.7 summary
Chapter7 Impact of Imitation on Innovation Pools
    7.1 Introduction
    7.2 Methodology
        7.2.1 Modification assumption of Predator Prey Model
        7.2.2 Assumptions of our Analogy
        7.2.3 Data collection
    7.3 Results
        7.3.1 Test of equation1:One-on-One Situation
        7.3.2 Simulations based on Dynamic Scenarios
    7.4 Discussion
    7.5 Summary
Chapter8 Conclusion and Recommendations
    8.1 Conclusion
    8.2 Practical Implications
    8.3 Limitations
    8.4 Future Studies
REFERENCES
APPENDIX
LIST OF RESEARCH PUBLICATIONS



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