Associating DEA with grey relational analysis for performance assessment of management competencies in logistic industry

Abstract

Competency-Based Management is a management model based on competence with main objective to find out and ensure what are competence and behavior needed for excellent performance in the job so as to help an organization or individual to understand how to enhance their work performance. In this article, scores for five different management competencies are summarized from the questionnaire survey, and Data Envelopment Analysis is done respectively on basic information and five management competence scores, so as to understand each self-assessed management competence performance from 128 persons under interview. Then in this article, the technical efficiency values of five management competencies are used for partial grey relational analysis so as to acquire the entire performance of five management competencies and to perform ranking, and it is hoped that person under interview with good and bad entire performance in management competence can be distinguished. Finally in this article, the scores of five management competencies are used as independent variable, and the entire performance of management competence after ranking is used as dependent variable to set up respectively assessment models for three management competencies, namely, Genetic Programming, Bayes’ Method and Logistic Regression Analysis. From the analysis result, it can be seen that the top three rankings in entire performance are respectively number 56, number 34 and number 19 of the person under interview; and the last three rankings are respectively number 79, number 45 and number 124 of person under interview; among three management competence performance assessment models, Genetic Programming model has the best classification assessment model.