區(qū)域創(chuàng)新系統(tǒng)(RIS)知識(shí)流動(dòng)研究:復(fù)雜科學(xué)管理視角
本文選題:區(qū)域創(chuàng)新系統(tǒng) + 知識(shí)流動(dòng); 參考:《武漢大學(xué)》2013年博士論文
【摘要】:以知識(shí)為主宰的全新經(jīng)濟(jì)時(shí)代的到來(lái),知識(shí)已逐步取代傳統(tǒng)的資源,成為獲取競(jìng)爭(zhēng)優(yōu)勢(shì)的核心資源。然而,知識(shí)創(chuàng)造價(jià)值能力并非僅僅依賴于其擁有的靜態(tài)存量的多少,而更在于知識(shí)在快速地流動(dòng)與有效的整合過(guò)程中,源源不斷地涌現(xiàn)各種新的資源。區(qū)域創(chuàng)新系統(tǒng)作(RIS)為國(guó)家創(chuàng)新系統(tǒng)的基礎(chǔ)和重要組成部分,其創(chuàng)新能力的強(qiáng)弱也并非等同于該區(qū)域擁有的包括知識(shí)資源在內(nèi)的各種有形資源與無(wú)形資源的多少。很多地區(qū)的高科技資源存量并未能有效地轉(zhuǎn)化為地區(qū)發(fā)展優(yōu)勢(shì)。 基于這樣的背景,本文在對(duì)知識(shí)和知識(shí)流動(dòng)規(guī)律研究的基礎(chǔ)上,借助于復(fù)雜科學(xué)管理理論和經(jīng)典力學(xué)理論,針對(duì)RIS知識(shí)系統(tǒng)這個(gè)開(kāi)放的復(fù)雜系統(tǒng),采取從局部到整體的研究思路,運(yùn)用以定量分析研究知識(shí)系統(tǒng)局部(兩節(jié)點(diǎn)之間)和全新的CSM復(fù)雜網(wǎng)絡(luò)理論研究系統(tǒng)整體相結(jié)合的方法,著重研究如下幾方面的內(nèi)容: 其一,對(duì)于系統(tǒng)的知識(shí)流動(dòng)基本回路,在對(duì)知識(shí)場(chǎng)以及與之相關(guān)的基本概念作出確切界定的基礎(chǔ)上,運(yùn)用定量研究的方法探索了知識(shí)自身運(yùn)動(dòng)(流動(dòng))的機(jī)制和規(guī)律,從而得到了描述知識(shí)在知識(shí)場(chǎng)的作用下由高位勢(shì)向低位勢(shì)運(yùn)動(dòng)的非線性運(yùn)動(dòng)微分方程,這包括系統(tǒng)知識(shí)流動(dòng)基本回路中的恒穩(wěn)知識(shí)流動(dòng)動(dòng)力方程與非恒穩(wěn)知識(shí)流動(dòng)動(dòng)力方程。并著重分析了知識(shí)源在知識(shí)流動(dòng)過(guò)程中的重要作用,并將其創(chuàng)新機(jī)制作為后續(xù)研究的重要問(wèn)題引向第五章的研究工作中,運(yùn)用CSM整合創(chuàng)新理論加以解決;由于非恒穩(wěn)知識(shí)運(yùn)動(dòng)方程的解極易受其系統(tǒng)內(nèi)部的非線性結(jié)構(gòu)的作用和干擾,發(fā)生分叉,而呈現(xiàn)不確定性態(tài),因而也將這部分的后續(xù)研究工作納入到運(yùn)用CSM網(wǎng)絡(luò)理論對(duì)非線性、不確定問(wèn)題的研究范疇之中; 其二,對(duì)于RIS知識(shí)系統(tǒng)整體指出,RIS知識(shí)系統(tǒng)作為一個(gè)由知識(shí)主體、知識(shí)客體、組織和環(huán)境構(gòu)成的,且屬于社會(huì)層面上的復(fù)雜系統(tǒng),其最恰當(dāng)?shù)碾[喻是介于規(guī)則網(wǎng)絡(luò)與隨機(jī)網(wǎng)絡(luò)兩者之間的復(fù)雜網(wǎng)絡(luò),其運(yùn)動(dòng)行為具有明顯的小世界效應(yīng)和無(wú)標(biāo)度特征。因此,具有小世界效應(yīng)的無(wú)標(biāo)度復(fù)雜網(wǎng)絡(luò)模型是研究該系統(tǒng)最理想的選擇。在此基礎(chǔ)之上,建立RIS知識(shí)系統(tǒng)的具有小世界特性的無(wú)標(biāo)度的(S-S)網(wǎng)絡(luò)模型和知識(shí)流動(dòng)強(qiáng)度KFI模型并對(duì)其進(jìn)行模擬仿真分析; 其三,依據(jù)RIS知識(shí)系統(tǒng)S-S網(wǎng)絡(luò)模型和知識(shí)流動(dòng)強(qiáng)度KFI模型的仿真結(jié)果,并在CSM復(fù)雜科學(xué)管理互動(dòng)論的指導(dǎo)下,深入研究了如何通過(guò)調(diào)適系統(tǒng)互動(dòng)的頻率,進(jìn)而減小節(jié)點(diǎn)之間最短路徑來(lái)改變系統(tǒng)的互動(dòng)關(guān)系,使處于過(guò)于有序,幾近僵化的系統(tǒng)通過(guò)人和組織、組織與組織之間的互動(dòng)關(guān)系變得富有積極性、有效性和創(chuàng)造性;亦或通過(guò)斷鏈不重接或增加特征路徑長(zhǎng)度,切斷部分成員之間互動(dòng)或利用組織程序規(guī)范成員間互動(dòng),進(jìn)而使過(guò)于無(wú)序的系統(tǒng)向有序方向轉(zhuǎn)變;并討論了具有無(wú)標(biāo)度特征的網(wǎng)絡(luò)的魯棒同時(shí)又脆弱的結(jié)構(gòu)特性; 其四,在CSM理論的指導(dǎo)下,建立了兼具穩(wěn)定性與靈活性的RIS的KIP(知識(shí)整合過(guò)程)模型,運(yùn)用這一模型依據(jù)復(fù)雜科學(xué)管理整合論,研究了以知識(shí)流動(dòng)為紐帶,通過(guò)知識(shí)的有效流動(dòng)與整合,全方位地對(duì)RIS內(nèi)包括信息資源、物資資源、人力資源、經(jīng)濟(jì)資源在內(nèi)的各種可利用的創(chuàng)新資源進(jìn)行整合、互動(dòng),使各種資源相互聯(lián)系、相互滲透、相互作用,相互交互;并在有序—無(wú)序論的指導(dǎo)下,建立了RIS知識(shí)系統(tǒng)的知識(shí)流動(dòng)—資源整合—系統(tǒng)創(chuàng)新(F-I-I)螺旋模型。從而以知識(shí)流動(dòng)為紐帶,以資源整合為手段,以系統(tǒng)創(chuàng)新為目的,運(yùn)用互動(dòng)這一動(dòng)力機(jī)制,將規(guī)模龐大的區(qū)域創(chuàng)新系統(tǒng)導(dǎo)引到混沌邊緣區(qū),使系統(tǒng)在有序、無(wú)序交替的過(guò)程中不斷涌現(xiàn)出新質(zhì),使區(qū)域創(chuàng)新在源源不斷反復(fù)涌現(xiàn)新質(zhì)的過(guò)程中,逐漸步入良性循環(huán)的創(chuàng)新軌道;在構(gòu)建的RIS知識(shí)系統(tǒng)F-I-I螺旋模型的基礎(chǔ)上,進(jìn)一步結(jié)合了該螺旋模型的網(wǎng)絡(luò)結(jié)構(gòu),通過(guò)構(gòu)建資源整合關(guān)系矩陣對(duì)系統(tǒng)資源整合的狀態(tài)進(jìn)行了定量描述,并建立了系統(tǒng)資源整合效果的評(píng)價(jià)標(biāo)準(zhǔn);針對(duì)第三章所提出的由網(wǎng)絡(luò)的無(wú)標(biāo)度特性所導(dǎo)致的魯棒性和脆弱性問(wèn)題,探討了基于靈活性的CSM程式整合下的牽制監(jiān)控問(wèn)題; 其五,借助文章第三章建立的知識(shí)流動(dòng)動(dòng)力方程、第四章構(gòu)建的RIS知識(shí)系統(tǒng)S-S網(wǎng)絡(luò)模型以及第五章構(gòu)建的F-I-I螺旋模型,和構(gòu)建的評(píng)價(jià)指標(biāo)體系,深入分析了武漢地區(qū)知識(shí)流動(dòng)現(xiàn)狀,并以此為基礎(chǔ)探究了促進(jìn)武漢地區(qū)知識(shí)流動(dòng),從而提升區(qū)域創(chuàng)新能力的基本思路與對(duì)策。
[Abstract]:Knowledge is the arrival of the new economic era dominated by knowledge . Knowledge has gradually replaced traditional resources to become the core resources of competitive advantage . However , knowledge creation value ability is not only dependent on the static inventory owned by the region , but more in the rapid flow and effective integration process . The regional innovation system ( RIS ) is the foundation and important part of the national innovation system . The regional innovation system ( RIS ) is not the equivalent of the physical resources and intangible resources of the region , including the knowledge resources . The high - tech resource stock in many areas is not effectively translated into the regional development advantage .
Based on this background , based on the research of knowledge and knowledge flow law , this paper , with the help of complex scientific management theory and classical mechanics theory , takes a part - to - whole research thinking on the open complex system of RIS knowledge system , and applies the method of combining the local ( two nodes ) of the knowledge system and the new CSM complex network theory research system in quantitative analysis , and focuses on the following aspects :
Firstly , on the basis of the knowledge flow basic loop of the system , the mechanism and law of knowledge itself movement ( flow ) are explored by means of quantitative research based on the exact definition of the knowledge field and the basic concepts related to the knowledge field .
Because the solution of the non - constant - stable knowledge motion equation is very easy to be influenced by the nonlinear structure inside the system and the bifurcation occurs , and the uncertainty state is presented , the subsequent research work of this part is included in the research scope of using CSM network theory to non - linear and uncertain problems .
Secondly , as a whole , the RIS knowledge system is composed of knowledge subject , knowledge object , organization and environment , and belongs to the complex system at the social level . The most appropriate metaphor is the complex network between regular network and random network .
Thirdly , according to the simulation results of the S - S network model and knowledge flow intensity KFI model of RIS knowledge system , and under the guidance of CSM complex scientific management interaction theory , how to change the interaction of the system by adapting the frequency of interaction of the system and then reducing the shortest path between the nodes can change the interaction of the system and make the interaction between the system and the organization , the organization and the organization become more motivated , effective and creative ;
the interaction between the members is cut off or the interaction between members is regulated by means of the organizational program , so that the system which is too disordered is changed to the ordered direction or the broken chain does not overlap or increase the characteristic path length ;
The robust and fragile structure characteristics of networks with scale - free features are also discussed .
Fourthly , under the guidance of CSM theory , the KIP ( Knowledge Integration Process ) model of RIS with stability and flexibility is established . Based on the integration theory of complex scientific management , the paper studies the integration and interaction of all kinds of innovative resources , including information resources , material resources , human resources and economic resources , and interacts with each other through effective flow and integration of knowledge .
Under the guidance of orderly - disorder theory , the knowledge flow - resource integration - system innovation ( F - I - I ) spiral model of RIS knowledge system is established .
On the basis of the constructed RIS knowledge system F - I - I spiral model , the network structure of the spiral model is further combined , the state of the integration of the system resources is described quantitatively by constructing the resource integration relation matrix , and the evaluation criterion of the system resource integration effect is established ;
Aiming at the robustness and vulnerability caused by the scale - free characteristics of the network proposed in chapter 3 , the paper discusses the problem of the control monitoring under the integration of the flexibility - based CSM program ;
In the fifth chapter , by means of the knowledge flow power equation established in chapter 3 of the article , the S - S network model of RIS knowledge system constructed in chapter 4 and the F - I - I spiral model constructed in chapter V , the present situation of knowledge flow in Wuhan area is analyzed in depth , and the basic idea and countermeasures of promoting the knowledge flow in Wuhan area are explored .
【學(xué)位授予單位】:武漢大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2013
【分類號(hào)】:N941.4;G302
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 司訓(xùn)練,陳金賢;基于知識(shí)流的產(chǎn)業(yè)結(jié)構(gòu)進(jìn)化模型[J];當(dāng)代經(jīng)濟(jì)科學(xué);2003年06期
2 張勤;徐緒松;;共詞分析法與可視化技術(shù)的結(jié)合:揭示國(guó)外知識(shí)管理研究結(jié)構(gòu)[J];管理工程學(xué)報(bào);2008年04期
3 徐緒松,曹平,龍虎;基于知識(shí)管理的項(xiàng)目管理知識(shí)體系框架[J];管理世界;2003年04期
4 劉鳳朝;馬榮康;姜楠;;區(qū)域創(chuàng)新網(wǎng)絡(luò)結(jié)構(gòu)、績(jī)效及演化研究綜述[J];管理學(xué)報(bào);2013年01期
5 羅立國(guó);余翔;周力虹;;基于專利許可網(wǎng)絡(luò)的985高校知識(shí)流動(dòng)能力研究[J];管理學(xué)報(bào);2013年03期
6 張成洪;張杰偉;;基于Ontology的跨組織知識(shí)整合方法研究[J];管理工程學(xué)報(bào);2011年03期
7 曹群;;縱向知識(shí)整合的產(chǎn)業(yè)集群創(chuàng)新博弈過(guò)程[J];哈爾濱工程大學(xué)學(xué)報(bào);2009年06期
8 胡浩;李子彪;胡寶民;;區(qū)域創(chuàng)新系統(tǒng)多創(chuàng)新極共生演化動(dòng)力模型[J];管理科學(xué)學(xué)報(bào);2011年10期
9 馬旭軍;;區(qū)域創(chuàng)新系統(tǒng)中知識(shí)流動(dòng)的重要性分析[J];經(jīng)濟(jì)問(wèn)題;2007年05期
10 徐緒松,徐啟云,林源;以信息產(chǎn)業(yè)推動(dòng)市場(chǎng)發(fā)展獲得經(jīng)濟(jì)增長(zhǎng)[J];技術(shù)經(jīng)濟(jì);1998年06期
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