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The theoretical analysis and empirical study on the structure modeling of knowledge work

机译:知识工作结构建模的理论分析与实证研究

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This paper examines the structure characteristic and the measurement of knowledge work. This approach aims at measuring the knowledge works quantitatively and optimizing its productivity. Current knowledge on the issue is summarized based on the existing literature on the characteristic identification and measurement of knowledge work. Identification and definition for the concept of knowledge work are developed. Meanwhile, In order to give a structural measurement for knowledge work, this paper introduces the concept of entropy and builds a tree structure model for the quantitative expression of the uncertainty degrees of knowledge work. This tree structure model is applied empirically in a case of knowledge work measurement. Empirical data was collected by interviewing 3 knowledge workers in a digital technology company. The findings show that mastery of knowledge work's structural rules is a challenging phenomenon in practice. This study also shows that the tree structure model can be applied as an analytical tool. The findings of the study may help managers to achieve knowledge work's standardized management and excavate the innovation activities among knowledge work. This can be used as a starting point for developing novel productivity measures for knowledge work.
机译:本文研究知识工作的结构特征和度量。该方法旨在定量地评估知识工作并优化其生产力。在有关知识工作的特征识别和度量的现有文献的基础上,总结了有关该问题的当前知识。开发了知识工作概念的识别和定义。同时,为了给出知识工作的结构度量,本文引入了熵的概念,并建立了树形结构模型来定量表示知识工作的不确定度。该树结构模型在知识工作量度的情况下经验地应用。通过采访一家数字技术公司的3名知识工作者,收集了经验数据。研究结果表明,掌握知识工作的结构规则在实践中是一个具有挑战性的现象。这项研究还表明,树结构模型可以用作分析工具。研究结果可以帮助管理者实现知识工作的标准化管理,并挖掘知识工作中的创新活动。这可以用作为知识工作开发新的生产力度量的起点。

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