| Summary: | 碩士 === 中國文化大學 === 資訊管理研究所 === 90 === E-Commercial Actives need combine among the supplier domain and the database support software firms and the customers to complete it. Although EC connect between the supplier and the customers, but the fundamental base is come from the supplier de-sirably. Generally, the customers’ satisfy is considered by the supplier, but it find that to consider by cost of quality would be better the customers side. How to choice the items of quality cost for the EC supplier to design the strategies is important problem.
In this research includes three parts. First a questionnaire includes 36 items of quality cost and 7 items of base data to get the level of agreement and environment situation by field survey from the supplier response. Second the data of EC introduced supplier used to find important items of quality cost by the data analysis. Some statistical methods are used when did the analysis. The statistical methods are the reliability and valid-ity, the description and reference statistical methods, and others. Third we found 3 items of quality cost, the product design of prevention costs and the processing control of ap-praisal costs and in add to the customers, need give more attention.
The conclusion are 3 items of base data, the differential business and introduced EC firms and EC employees can combine to 3 items of quality cost to design the strate-gies of quality cost by the EC introduced supplier. The contribution of this research not only we gave the procession of items of quality cost finding, but also we found there are not significant differences on the level agreement between the introduced and non-introduced EC supplier. This research model can extent to others business even they can design the differential questionnaire to do survey.
The field survey is used this research, the questionnaire is post to the random sam-ples chose from the membership of the Chinese Society of Quality in Taiwan to get the response. Two steps survey are the pilot testing and the data collection. The data used in the data analysis includes the data of pilot testing and collection. After did the data analysis, we gave the finding and the conclusions even the discussions.
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