【摘要】：知識(shí)傳播存在于任何一個(gè)群體(包括現(xiàn)實(shí)群體和虛擬群體),群體成員間的知識(shí)傳播根植于組織群體的結(jié)構(gòu)、制度、文化和各項(xiàng)管理中。隨著全球經(jīng)濟(jì)社會(huì)的發(fā)展,知識(shí)傳播會(huì)改善企業(yè)創(chuàng)新能力進(jìn)而提高企業(yè)績(jī)效[1],在不同時(shí)間、空間和行業(yè)背景下進(jìn)行的已有研究驗(yàn)證這一命題。因而,隨著市場(chǎng)競(jìng)爭(zhēng)的加劇,組織也越來(lái)越關(guān)注軟資源,強(qiáng)調(diào)人際互動(dòng)、知識(shí)共享,組織的知識(shí)轉(zhuǎn)移、知識(shí)傳導(dǎo)的有效性等受到高度重視。而研究群體成員的知識(shí)傳播對(duì)研究組織診斷和完善組織行為,提升組織自我更新能力具有重要意義。而復(fù)雜網(wǎng)絡(luò)是研究復(fù)雜系統(tǒng)的一門(mén)新興學(xué)科,用來(lái)對(duì)群體成員的知識(shí)傳播進(jìn)行研究具有重要的理論意義。 本文基于群體成員知識(shí)傳播度和知識(shí)傳播復(fù)雜網(wǎng)絡(luò),分析了群體成員的整體知識(shí)傳播狀況研究,在獲得5個(gè)現(xiàn)實(shí)群體和5個(gè)虛擬群體共133個(gè)成員的有效問(wèn)卷調(diào)查數(shù)據(jù)基礎(chǔ)上,采用SPSS以及Ucinet對(duì)取得的數(shù)據(jù)進(jìn)行了分析;建立了知識(shí)傳播度的關(guān)系矩陣,得到了不同知識(shí)傳播度的群體成員知識(shí)傳播復(fù)雜網(wǎng)絡(luò);計(jì)算了不同群體成員知識(shí)傳播復(fù)雜網(wǎng)絡(luò)的結(jié)構(gòu)特性如聚集系數(shù)、網(wǎng)絡(luò)平均距離、網(wǎng)絡(luò)中心勢(shì)等;并將虛擬群體成員知識(shí)傳播網(wǎng)絡(luò)與現(xiàn)實(shí)群體成員知識(shí)傳播網(wǎng)絡(luò)進(jìn)行了比較;分析了影響群體成員知識(shí)傳播網(wǎng)絡(luò)結(jié)構(gòu)的因素。 對(duì)各個(gè)群體成員的知識(shí)傳播復(fù)雜網(wǎng)絡(luò)的結(jié)構(gòu)和特性進(jìn)行分析得出:群體成員的傳播意愿、地位、信任和了解因素對(duì)群體成員知識(shí)傳播復(fù)雜網(wǎng)絡(luò)的結(jié)構(gòu)和統(tǒng)計(jì)特性有影響。虛擬群體和現(xiàn)實(shí)群體知識(shí)傳播網(wǎng)絡(luò)在網(wǎng)絡(luò)的聚集系數(shù)上不同的特性,現(xiàn)實(shí)群體的網(wǎng)絡(luò)聚集系數(shù)普遍要高于虛擬群體,而網(wǎng)絡(luò)平均距離要?jiǎng)t小于后者。而在很高或很低的知識(shí)傳播程度下,網(wǎng)絡(luò)的中心趨勢(shì)則是虛擬群體的大一些;在知識(shí)傳播程度適中的情況下,現(xiàn)實(shí)群體的網(wǎng)絡(luò)中心趨勢(shì)大一些。
[Abstract]:Knowledge dissemination exists in any group (including real group and virtual group). Knowledge communication among group members is rooted in the structure, system, culture and management of organization group. With the development of global economy and society, knowledge dissemination will improve the innovation ability of enterprises and then improve the performance of enterprises [1], which has been verified by existing research in different time, space and industry background. Therefore, with the aggravation of market competition, organizations pay more and more attention to soft resources, emphasizing interpersonal interaction, knowledge sharing, organizational knowledge transfer and the effectiveness of knowledge transmission. The knowledge dissemination of the members of the research group is of great significance to the study of organization diagnosis and improvement of organizational behavior and the ability of organization self-renewal. Complex network is a new subject to study complex systems. It is of great theoretical significance to study the knowledge transmission of group members. Based on the knowledge transmission degree of group members and the complex network of knowledge dissemination, this paper analyzes the overall knowledge transmission status of group members. Based on the effective questionnaire survey data of 5 realistic groups and 5 virtual groups, SPSS and Ucinet are used to analyze the obtained data. The relation matrix of knowledge transmission degree is established, and the complex network of knowledge transmission of group members with different knowledge spreading degree is obtained. The structural characteristics of the complex network of knowledge dissemination for different group members, such as aggregation coefficient, network average distance, network center potential and so on, are calculated, and the knowledge dissemination network of virtual group members is compared with that of real group members. The factors influencing the network structure of knowledge communication among group members are analyzed. Based on the analysis of the structure and characteristics of the complex network of knowledge dissemination among group members, it is concluded that the communication will, status, trust and understanding of the members of the group have an influence on the structure and statistical characteristics of the complex network. The network aggregation coefficient of virtual group is higher than that of virtual group, and the average distance of network is smaller than that of virtual group. In the case of high or very low degree of knowledge dissemination, the central trend of network is larger than that of virtual group, and the trend of network center of real group is larger when the degree of knowledge dissemination is moderate.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：G302

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉強(qiáng),方錦清,李永,梁勇;探索小世界特性產(chǎn)生的一種新方法[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2005年02期

2 來(lái)向紅;王文平;;基于元胞自動(dòng)機(jī)的知識(shí)型組織中知識(shí)傳播過(guò)程仿真研究[J];管理學(xué)報(bào);2006年05期

3 李金華;孫東川;;復(fù)雜網(wǎng)絡(luò)上的知識(shí)傳播模型[J];華南理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2006年06期

4 齊麗云;汪克夷;張芳芳;趙笑一;;企業(yè)內(nèi)部知識(shí)傳播的系統(tǒng)動(dòng)力學(xué)模型研究[J];管理科學(xué);2008年06期

5 席運(yùn)江;黨延忠;廖開(kāi)際;;組織知識(shí)系統(tǒng)的知識(shí)超網(wǎng)絡(luò)模型及應(yīng)用[J];管理科學(xué)學(xué)報(bào);2009年03期

6 紀(jì)曉麗;郭鋒;;虛擬社區(qū)組織知識(shí)傳播復(fù)雜網(wǎng)絡(luò)研究[J];技術(shù)經(jīng)濟(jì);2011年02期

7 宗剛;孫瑋;任蓉;;基于信任機(jī)制的復(fù)雜網(wǎng)絡(luò)知識(shí)傳播模型的研究[J];價(jià)值工程;2009年12期

8 耿凱平;徐渝;陳志剛;;復(fù)雜組織內(nèi)隱性知識(shí)傳播模型研究[J];科技管理研究;2009年06期

9 蔡衛(wèi)民;武德昆;;企業(yè)知識(shí)傳播規(guī)律研究綜述[J];科技進(jìn)步與對(duì)策;2006年06期

10 宋超英;孫廣兵;;認(rèn)知群體間知識(shí)傳播與組織管理功能定位匹配研究[J];科學(xué)管理研究;2006年01期

，

本文編號(hào)：2369665