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학술논문대한안전경영과학회지2016.12 발행KCI 피인용 2

TOPSIS방법을 이용한 교육서비스품질 우선순위 선정에 관한 연구

A study on selection of educational service quality's priority with TOPSIS method

김민경(명지대학교 산업경영공학과); 강경식(명지대학교)

18권 4호, 195~209쪽

초록

This research determined priority of quality improvement of public institution's education service by using ASC for importance and applying Topsis, a multi-standard decision-making method simplifying various attributes and scales of evaluation items and deciding the comparative priority for satisfaction and discussed the differences so as to measure the quality of public institution's educational service and examine the priority of education service' quality improvement. This research classified the characteristics of quality improvement. As a result, it's significant to suggest positive direction and method to improve satisfaction and education service's quality from an angle of demander by analyzing educational satisfaction of education service quality of public education institution and effects on the following improvement.

Abstract

This research determined priority of quality improvement of public institution's education service by using ASC for importance and applying Topsis, a multi-standard decision-making method simplifying various attributes and scales of evaluation items and deciding the comparative priority for satisfaction and discussed the differences so as to measure the quality of public institution's educational service and examine the priority of education service' quality improvement. This research classified the characteristics of quality improvement. As a result, it's significant to suggest positive direction and method to improve satisfaction and education service's quality from an angle of demander by analyzing educational satisfaction of education service quality of public education institution and effects on the following improvement.

발행기관:
대한안전경영과학회
DOI:
http://dx.doi.org/10.12812/ksms.2016.18.4.195
분류:
안전공학

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TOPSIS방법을 이용한 교육서비스품질 우선순위 선정에 관한 연구 | 대한안전경영과학회지 2016 | AskLaw | 애스크로 AI