基于张量分析的知识度规与信息流关系模型

Modeling the relation ship between measurement gauge of knowledge and information flow based on tensor analysis

利用张量分析研究技术创新网络中企业知识特征与其信息流之间的数量关系.知识时空被定义为具有结构特征的局部(全局)信息场.在知识时空中引入知识能量概念,分析在不同标架下知识能量的变化规律;应用知识时空度规分析在知识分别作为矢量与能量时,技术创新网络知识时空结构特征发生转移的数量特征.研究表明:企业知识结构的多样性是创新网络存在的前提条件,可以用对应的知识时空曲率来刻度企业知识多样性特征;企业对转移知识与对方企业知识之间的结构关系的认识程度越高、转移知识自身度规越大,都能促使知识转移过程中的信息流动,而企业知识结构在转移知识领域的差别越大,企业之间的信息流动就越困难。

This paper applies tensor analysis to the of the quantitative relations between characteristics of the enterprise＇ s knowledge and its information flow： Knowledge space-time is defined as a local（global） information field that bears structural features and the concept ＂knowledge energy＂ is introduced analyze the turn-overrules of knowledge energy under different gauges; the measurement gauge of knowledge space-time is used to analyze the quantitative features of the structural features of knowledge space-time in the techno-innovation network when a transfer occurs to knowledge as a vector and energy respectively. The result shows that the diversity of knowledge structure is a pre-condition for the presence of innovation network, and its characteristics can be illustrated by the corresponding curvatures of knowledge space-time. Moreover, the more an enterprise knows about the structural relations between the transferred knowledge and its counterpart＇ s knowledge （ and vice versa）, or the greater the measurement gauge the transferred knowledge may internally have, the more the information flow in the process of knowledge transfer. On the other hand, the greater the difference enterprises may have from each other in the structural features of the transferred knowledge, the more difficulty there will be in information flow between them.