Evaluation of Junior Colleges of Business in Taiwan with Considering Expert Opinion-Fuzzy AHP and DEA Approach
Date Issued
2012
Date
2012
Author(s)
Hsu, Wei
Abstract
This paper use hierarchical structure to construct a measure of performance evaluation model of polytechnic junior colleges of business. First, we investigate opinion of different experts which contain students, business executives, deans of business colleges and educators. We combine the data of students and business executives as “education demander”, combine the data of deans and educators as “education supplier”, and combine all of the experts’ data as “integrated educators”. Because the subjective consciousness of mankind has the characteristics of ambiguity and uncertainty, so we use fuzzy AHP to solve it and calculate the weights of every indicators in the hierarchical structure.Second, we use two-level AR/DEA to conduct the performance evaluation of 26 business colleges in Taiwan, and observe the advantages of each business colleges using the weights calculated from two-level AR/DEA. In this paper, according to the number of classes, 26 business colleges are divided into large-scale and small-scale categories, to investigate the performance of business colleges of different sizes.Finally, a cluster analysis is applied to distinguish the dissimilarity of the 26 business colleges with respect to the efficiency contributions of each indicators.
We have empirical results in the following findings:
1. The results of fuzzy AHP：
(1) All types of experts hold the view that “performance of the workplace after graduation” is relative important than “performance of multi-capacity”.
(2) Students and deans think that “psychomotor” ability is most important. Business executives think that “cognitive” ability is most important. Educators think that “affection” ability is most important.
(3) From the “education demander “point of view, they put emphasis on “psychomotor” ability. From the “education supplier” point of view, they put emphasis on “cognitive” ability.
2. The results of two-level AR/DEA：
(1) The efficiency score of the large-scale business colleges is higher than the small-scale business colleges.
(2) The results in the first-level, regardless of school size, from the “education demander “point of view, the advantage is in the “cognitive” ability. From the “education supplier” point of view, the advantage of the large-scale business colleges is in the “affection” ability, the aadvantage of the small-scale business colleges is in the“cognitive” ability.
(3) The results in the second-level, regardless of school size, from the “education demander” point of view, the advantage is in the “performance of the workplace after graduation”. From the “education supplier” point of view, the advantage of the large-scale business colleges is in the “performance of multi-capacity”. The advantage of the small-scale business colleges is in the “performance of the workplace after graduation”.
3. The results of cluster analysis：
(1) The 26 business colleges are categorized into 4 clusters. Most of the schools are in the first group named “enhance workplace performance” and the second group named “cultivate cognitive”. The third group named “cultivate psychomotor” and the forth group named “cultivate affection” are in the minority.
(2) Only National Taipei College of Business belonging to Taipei area in the first group. Most composition of the second group is university of science and technology.
Subjects
Performance evaluation
Fuzzy sets theory
Assurance region
Cluster analysis
Contributions
Type
thesis
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