| Summary: | 碩士 === 中原大學 === 資訊管理研究所 === 100 === From 2007 to 2011, the global mobile phone industries and the market trends proceeded to the great evolution-Smartphone. Whatever the functional interfaces or software applications are designed, they are user-friendly with technology and convenience. Many kinds of smartphones in modern eras are released. So the study cited three different smartphones with similar price and functionality from the top three mobile phone industries. The questionnaires distributed to smartphones sellers, and the purpose is mainly to compare the items among smartphone properties, functional criterias, and alternatives. The research result of drawing weight priority is to provide the assessment of R&;D industries as a reference for the subsequent development of new smartphones. And the result of alternative ranking is for the reference as the technical data of three smartphones assessment in the same field.
The questionnaire is mainly to test the smartphone sellers. Five testers filled them up. The assessment architecture of the smartphone alternatives is built by Super Decisions software, and the decision-making software produced some doublet models within smartphone properties and functional criterias, so as to compare each set of the properties and criterias. Thus, the study can verify the priority computations of each assessment results. When the study achieved to integrate professional recommendations of the sellers, the value of each questionnaire is regarded as an effective group result via geometric average. The ANP analysis method is utilized into decision-making operations, so as to gain the sequence of each properties and criterias.
On completing consistency test and verification, Super Decisions software can compute the sequence of the normalized and limiting weight in smartphone alternatives, functional criterias, and properties. The results show that “APPLE iPhone 4(0.38164)” is considered as the most important decision-making alternative under the recommendations of five communication staffs, and the “battery power(0.100036)” is the highest assessment factor for limiting weight in all of the functional criterias, and “built-in system(0.70267)” is the highest weight value in four properties.
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