Research On Enterprise Staffs’ Position Knowledge Evaluation

Knowledge seems to be quite a competitive factor in modern enterprises. For its successfulmanagement, knowledge needs to be measured. And with instant progress in modern math,quantificational evaluation of knowledge is getting more and more attention from researchers andscholars. Starting from one single position in the enterprise, this study analyses the feasibility ofknowledge measurement, focusing on realization and application of individual-level knowledgeevaluation.Firstly, a weighted evaluation model of knowledge tree (namely knowledge evaluation tree)and a three-dimensional vector model of knowledge space (namely knowledge evaluation space)are presented, to structurally express and quantificationally evaluate on-the-job employees’knowledge status. Knowledge evaluation space analyzes employees’ knowledge space from suchthree dimensions as theories, skills and experience, and is, as in this study, mainly responsible forvalue calculation, while tree structure model is used to organize and visualize knowledgestructure.Secondly, with an overall analysis of employees’ knowledge quality, the paper comes up withan evaluation index system from the three dimensions formerly mentioned. With weights obtainedusing Analytic Hierarchy Process (AHP) method, specific positions’ common knowledge need andemployees’ personal knowledge supply can be calculated from dimensions of theories, skills andexperience, thus achieving knowledge gap relative to specific position background. Based on thecomputer storage model of employees’ knowledge need vector, the paper then applies thisknowledge evaluation model, together with knowledge gap calculation results, into knowledgepush system.In the end, a case study is given to further explain the modeling method and how it works.The study conducts a questionnaire survey among network engineers in Science and TechnologyInformation Department, Tianjin State Grid. Staff information is then extracted from the surveyresults, and knowledge status analysis is presented. The survey and the analysis followed illustratethat this method is easy to carry out and produces quantitative results, and is therefore able toimprove human resource management and knowledge management effectively.Main innovative points are as follows: to have built on-the-job employees’ personalknowledge storage model and analyzed personal knowledge in vector space; to have obtained employees’ knowledge gap and knowledge surplus using algorithm based on tree matching, so asto optimize talent structure and upgrade knowledge management system; to have taken intoconsideration influences that time-varying factors might have on evaluation results, and thusintroduced time attenuation function.