Minpeng Xiong

Analysis of Competency Elements Based on Grey Cluster

A competency model requires lots of competency elements, and competency elements are the most important part of the competency model, so it is necessary to select best data from these elements to make competency model more efficient and satisfactory. This paper describes reviews on competency and introduces the method of grey cluster analysis, and proposes a procedure using grey clustering method to select main competency indexes and evaluates accuracy and performance of the classifying method. Then a case study is presented in the paper to show the viability of the procedure.

A Study on the Modeling Process and Method of Competence Model in Enterprises

Abstract-It is critical to identify competence model structure and discuss modeling process and method, because it decides that the competence model is applied successfully in human resources management and the development practice or not. Synthesizing domestic and foreign research about competence model, from the behavioral science angle to establish model, basic research has been mature, but the model validity is still limited by the factors, such as time, enterprise size, cost and so on. In fact, the massive basic study and case accumulation can provide reference for the companies, therefore this article based on this mind has proposed another modeling ways. It is a very important step to study the suitable modeling method according to the different modeling mentality and different data nature for the enterprises.

The Evaluation Method of Marketing Staff Competency Based on Gray Relational Analysis

The paper utilizes competency evaluation model based on gray relational analysis to assess marketing staff competency. An empirical case is given for an automobile companys marketing staff competency evaluation to prove the validity of the model.

A Comprehensive Evaluation Method of Staff Competency Based on Rough Set Theory

In the comprehensive evaluation of competencies to introduce rough set theory, using the theory to fully tap the link between the known data to determine the weight of evaluation index data, to avoid the subjectivity caused by human intervention. Experiments show that the use of rough set theory in the evaluation, with satisfactory results.

Electricity Consumption and Economic Growth in China, Is There Co-Feature between Them?

In the paper, we investigate the vector error correction model considering co-feature. The identification procedure and algorithms are overviewed briefly in line with (Hecq. A., 2004). Then a simple case study for electricity consumption and economic growth in China is given for model comparison. It is found that model considering co-feature can potentially improve the model estimation efficiency. Index Terms—Cointegration, Co-feature, Empirical analysis, Electricity consumption