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A STUDY ON THE APPLICATION OF THE CCR MODEL FOR THE CLASSIFICATION OF UNIVERSITY TEACHERS' PERFORMANCE

 Hsiang-Ching Lai*, 

Dept. of Industrial Management, I- Shou University, Kaohsiung 84001, Taiwan (ROC)

*Corresponding Author: ">

Chiao-Pin Bao

Dept. of Industrial Management, I- Shou University, Kaohsiung 84001, Taiwan (ROC)

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Chun-I Chen

Dept. of Industrial Management, I- Shou University, Kaohsiung 84001, Taiwan (ROC)

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Abstract

This paper discusses how to effectively classify the performance of university teachers in order to obtain the information of personnel traits, make the individual get feedback on professional development, and make up for the deficiency of the rank of personnel. This study explores two classification methods: Method 1 “Z-score classification” (the size of the Z-score in research, teaching and service determines the classification criteria); Method 2 “CCR model classification” (classification of various scores). We simulated the performance scores of 134 teachers in a university in three categories: research, teaching and service and used two classification methods. Result 1: all the research scores obtained by "Z-score classification" and "CCR model classification" were significantly different in research, teaching and service categories through ANOVA; all teaching scores obtained by the two methods were significantly different in research, teaching and service categories through ANOVA; the service scores obtained by the two methods were significantly different in research, teaching and service categories through ANOVA. Result 2: according to the t-test, there was no significant difference in the research scores in the research category, teaching scores in the teaching category and service scores in the service category based on the two classification methods, indicating that both methods were effective. Result 3: According to the F test (https://ijoi-online.org/03a56d57-28c9-44bf-9db9-07f01009dc2e" width="11" height="14" />=2.1769>1.0) of the total variation of Method 1 and Method 2, the total variation of Method 1 is much greater than that of Method 2, indicating that Method 2 is better than Method 1.

Keywords: Z-score, CCR model, classification

Attachments:

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