A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder

碩士 === 國立臺灣科技大學 === 工業管理系 === 96 === Each company is constrained by limited resources. Therefore, it must be decided how scarce resource are best deployed to achieve the highest level of satisfaction. An effective method to set priorities is importance-performance analysis (IPA).It analyzes quality...

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Main Authors: Pei-chun Tu, 杜珮君
Other Authors: Wen-dwo Yang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/04807982256156702822
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spelling ndltd-TW-096NTUS50410262016-05-13T04:15:15Z http://ndltd.ncl.edu.tw/handle/04807982256156702822 A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder 服務品質特性分類方法於海運承攬運送業之比較 Pei-chun Tu 杜珮君 碩士 國立臺灣科技大學 工業管理系 96 Each company is constrained by limited resources. Therefore, it must be decided how scarce resource are best deployed to achieve the highest level of satisfaction. An effective method to set priorities is importance-performance analysis (IPA).It analyzes quality attributes on two dimensions: performance level (satisfaction) and importance to the customer. Another quality attributes categorized method introduced by Mariachi Kano et.al, unlike the traditional model to measure product or service quality, is a two-dimensional model of quality. They thought the satisfaction and dissatisfaction were not in the opposite side of one dimension, but in two different dimensions. The main purpose of this research is to compare IPA and Kano’s two-dimension models. The comparison and evaluation on two-dimensioned matrix could help a manager to identify key drivers of customer satisfaction and to get improvement priorities. It is also helpful to allocate scarce resources to maximize satisfaction. The different outcomes through real cases analyzed by correlation were suggested to manager to choose a proper quality attribute categorized method on the situation and resources at the time. Wen-dwo Yang 楊文鐸 2008 學位論文 ; thesis 48 zh-TW
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description 碩士 === 國立臺灣科技大學 === 工業管理系 === 96 === Each company is constrained by limited resources. Therefore, it must be decided how scarce resource are best deployed to achieve the highest level of satisfaction. An effective method to set priorities is importance-performance analysis (IPA).It analyzes quality attributes on two dimensions: performance level (satisfaction) and importance to the customer. Another quality attributes categorized method introduced by Mariachi Kano et.al, unlike the traditional model to measure product or service quality, is a two-dimensional model of quality. They thought the satisfaction and dissatisfaction were not in the opposite side of one dimension, but in two different dimensions. The main purpose of this research is to compare IPA and Kano’s two-dimension models. The comparison and evaluation on two-dimensioned matrix could help a manager to identify key drivers of customer satisfaction and to get improvement priorities. It is also helpful to allocate scarce resources to maximize satisfaction. The different outcomes through real cases analyzed by correlation were suggested to manager to choose a proper quality attribute categorized method on the situation and resources at the time.
author2 Wen-dwo Yang
author_facet Wen-dwo Yang
Pei-chun Tu
杜珮君
author Pei-chun Tu
杜珮君
spellingShingle Pei-chun Tu
杜珮君
A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder
author_sort Pei-chun Tu
title A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder
title_short A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder
title_full A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder
title_fullStr A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder
title_full_unstemmed A Comparative Study of Quality Attribute Categorized Methods on Freight Forwarder
title_sort comparative study of quality attribute categorized methods on freight forwarder
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/04807982256156702822
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