【摘要】：以實(shí)踐社群為對象,研究實(shí)踐社群知識流動績效評價。綜合考慮實(shí)踐社群知識流動的過程、知識流動的結(jié)果和社群成員對知識流動的感知,從知識流動水平、知識創(chuàng)新水平、知識運(yùn)用水平和知識感知水平4個方面構(gòu)建實(shí)踐社群知識流動績效評價指標(biāo)體系。其中,知識流動水平包括知識流動頻率、知識流動速度和知識流動強(qiáng)度,知識創(chuàng)新水平包括知識擴(kuò)散效應(yīng)、知識重組效應(yīng)和知識集聚效應(yīng),知識運(yùn)用水平包括克服困難度、優(yōu)化流程度和改善質(zhì)量度,知識感知水平包括知識流動和諧度、知識流動安全感和知識流動滿意度。同時結(jié)合實(shí)踐社群的特點(diǎn),采用二元語義多屬性決策方法,運(yùn)用熵權(quán)—離差最大化確定各指標(biāo)權(quán)重,并通過SYC汽車企業(yè)技術(shù)中心具體實(shí)例,評價實(shí)踐社群的知識流動績效,驗(yàn)證研究提出方法的有效性。
[Abstract]:Taking the practice community as the object, this paper studies the performance evaluation of knowledge flow in the practice community. Considering the process of knowledge flow in practice community, the results of knowledge flow and the perception of knowledge flow by community members, the performance evaluation index system of knowledge flow in practice community is constructed from four aspects: knowledge flow level, knowledge innovation level, knowledge application level and knowledge perception level. Among them, the level of knowledge flow includes knowledge flow frequency, knowledge flow speed and knowledge flow intensity, knowledge innovation level includes knowledge diffusion effect, knowledge reorganization effect and knowledge agglomeration effect, knowledge use level includes overcoming difficulty, optimizing flow degree and improving quality measure, knowledge perception level includes knowledge flow harmony, knowledge flow sense of security and knowledge flow satisfaction. At the same time, according to the characteristics of the practice community, the binary semantic multi-attribute decision making method is adopted, and the entropy weight-deviation maximization is used to determine the weight of each index. Through the concrete example of SYC Automotive Enterprise Technology Center, the knowledge flow performance of the practice community is evaluated, and the effectiveness of the proposed method is verified.
【作者單位】： 江蘇大學(xué)管理學(xué)院;南京航空航天大學(xué)經(jīng)濟(jì)與管理學(xué)院;上海汽車集團(tuán)股份有限公司商用車技術(shù)中心;
【基金】：國家自然科學(xué)基金項(xiàng)目(71472077) 江蘇省教育科學(xué)“十三五”規(guī)劃重點(diǎn)資助課題(C-a/2016/01/11)
【分類號】：F272

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