A Review and Comparison of Measurement Methods of Knowledge Complexity
[Research purpose]Complex knowledge is the basic support for breakthroughs in key core technologies,and it is also a key element for enterprises or regions to establish competitive advantages.This paper aims to fully grasp the research status and cutting-edge progress of knowledge complexity measurement methods,so as to provide a theoretical basis for the in-depth study of knowledge complex-ity.[Research method]By combing the relevant literature on knowledge complexity research at home and abroad,we introduce the core ideas,theoretical basis and calculation process of three main knowledge complexity measurement methods in detail,and further compare and analyze the applicable levels,advantages and disadvantages of different methods,and finally propose future research directions.[Re-search conclusion]The reflection method is mainly based on heterogeneity of spatial distribution of knowledge to indirectly measure knowledge complexity.Although the principle is simple and the operation is relatively easy,it cannot reveal the essential characteristics of knowledge complexity;the element dependence index mainly uses knowledge combination frequency to measure the degree of interdepend-ence and further reflects knowledge complexity,but it ignores other components that affect knowledge combination;the structural diversity index reflects knowledge complexity through the diversity of topological structures of knowledge combination network,which comprehen-sively considers multiple network structure indicators,and has been tested by a large number of numerical simulations,but there are also problems such as unstable estimation results and only applicable to binary networks.
knowledge complexity measurementreflection methodelement dependence indexstructural diversity index
万方数据
维普
