知識(shí)吸收機(jī)制對(duì)知識(shí)增長(zhǎng)績(jī)效的影響研究
發(fā)布時(shí)間:2018-03-13 19:14
本文選題:科研創(chuàng)新網(wǎng)絡(luò) 切入點(diǎn):知識(shí)增長(zhǎng) 出處:《圖書(shū)情報(bào)工作》2017年11期 論文類(lèi)型:期刊論文
【摘要】:[目的/意義]從知識(shí)主體吸收知識(shí)的認(rèn)知視角出發(fā),研究科研創(chuàng)新網(wǎng)絡(luò)中知識(shí)動(dòng)態(tài)增長(zhǎng)的演化規(guī)律以及影響機(jī)制,引入復(fù)雜網(wǎng)絡(luò)理論,構(gòu)建基于科研創(chuàng)新網(wǎng)絡(luò)的知識(shí)增長(zhǎng)過(guò)程模型。[方法/過(guò)程]考慮科研創(chuàng)新網(wǎng)絡(luò)中知識(shí)主體獲取知識(shí)的空間結(jié)構(gòu)和認(rèn)知特征,基于對(duì)數(shù)透視法則將網(wǎng)絡(luò)中實(shí)際的知識(shí)物理分布轉(zhuǎn)換為知識(shí)主體自身的認(rèn)知空間;在分析知識(shí)吸收過(guò)程中相關(guān)影響因素的基礎(chǔ)上,深入理解知識(shí)動(dòng)態(tài)增長(zhǎng)的流動(dòng)模式構(gòu)建知識(shí)增長(zhǎng)函數(shù),并從效率和公平相匹配角度界定知識(shí)增長(zhǎng)的績(jī)效。[結(jié)果/結(jié)論]科研創(chuàng)新網(wǎng)絡(luò)中的知識(shí)增長(zhǎng)績(jī)效受網(wǎng)絡(luò)結(jié)構(gòu)隨機(jī)化程度的影響呈現(xiàn)先下降后上升的趨勢(shì);知識(shí)主體具備適度的知識(shí)傳播能力和吸收能力才能實(shí)現(xiàn)網(wǎng)絡(luò)中最優(yōu)的知識(shí)累積效應(yīng);主體獲取知識(shí)的認(rèn)知過(guò)程受對(duì)數(shù)法則的約束,且隨著其認(rèn)知半徑的增大,網(wǎng)絡(luò)的知識(shí)增長(zhǎng)績(jī)效越高。
[Abstract]:[objective / significance] from the cognitive perspective of knowledge absorption by knowledge subject, the evolution law and influence mechanism of knowledge dynamic growth in scientific research innovation network are studied, and the complex network theory is introduced. The model of knowledge growth process based on scientific research innovation network is constructed. [method / process] considering the spatial structure and cognitive characteristics of knowledge acquisition in scientific research innovation network, Based on the logarithmic perspective rule, the physical distribution of knowledge in the network is transformed into the cognitive space of the knowledge subject itself, and based on the analysis of the related factors in the process of knowledge absorption, Deeply understand the flow pattern of knowledge dynamic growth, construct knowledge growth function, The performance of knowledge growth is defined from the point of view of matching efficiency and fairness. [results / conclusion] the performance of knowledge growth in scientific research innovation network is affected by the degree of randomization of network structure. In order to realize the optimal knowledge accumulation effect in the network, the knowledge agent has the moderate ability of knowledge transmission and absorption, and the cognitive process of knowledge acquisition is restricted by the logarithmic law and increases with the increase of its cognitive radius. The higher the knowledge growth performance of the network.
【作者單位】: 武漢大學(xué)信息資源研究中心;
【基金】:國(guó)家自然科學(xué)基金項(xiàng)目“科研團(tuán)隊(duì)動(dòng)態(tài)演化規(guī)律研究”(項(xiàng)目編號(hào):71273196) 山東省重點(diǎn)研發(fā)計(jì)劃項(xiàng)目“可定制大數(shù)據(jù)知識(shí)服務(wù)平臺(tái)關(guān)鍵技術(shù)研究及應(yīng)用”(項(xiàng)目編號(hào):2015GGX101037)研究成果之一
【分類(lèi)號(hào)】:F272;F273.1
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