應用分析網路程序法於智慧手機之評選

Applying Analytical Network Process (ANP) Method on Smartphone Selection.

陳志凡(Chih-Fan Chen)

指導教授 ： 皮世明

中原大學/商學院/資訊管理研究所/碩士(2012年)

https://doi.org/10.6840/cycu201200382

摘要

2007至2011年間，全球手機產業與市場趨勢已演進一大改革－智慧型手機(Smartphone)誕生，無論是功能介面或軟體應用皆能貼近人性化，並具科技感與方便性。現行眾多智慧手機款式層出不窮，本研究則列舉三款由前三大手機產業所產當代價格與功能相仿之智慧手機，給予專門販售其類型手機業者進行問卷填答，主要針對其內屬性構面、功能準則要素及款式方案之間相互評比，所得結果得出權重排列，以提供研發產業作為後續開發新款手機之參考評估，而方案排序重要性結果則作為同工作領域業者評量三款手機之技資使用。
本研究問卷係以販售智慧手機之通訊業者為對象，共計發放5份問卷，經由Super Decisions分析軟體以建構智慧手機方案評選架構模式，使決策軟體內產生功能屬性構面及功能準則間兩兩相較項目問卷模式，以進行各構面與準則間成對比較，希驗證並得出評選結果之重要性排序。本研究綜整販售智慧手機人員之專業填答意見，每份問卷數據經幾何平均計算後，所得數值可視為群體有效意見結果，後續利用ANP分析法進行決策運算，以得出各項構面與準則間重要性順序排列。
經一致性檢定及指標驗測階段後，Super Decisions軟體運算出各智慧手機方案、功能準則及屬性構面等正規化及極限化權重排序，經分析相較後，分別以「APPLE iPhone 4(0.38164)」代表最受5位專門販售智慧手機之通訊業者所認定最為重要的決策方案、「電池耗電度(0.100036)」為所有功能準則間相對極限化權重比較最高的評選指標及「內建系統(0.70267)」為四項屬性構面間權重最高的構面。

關鍵字

功能準則 ； 屬性構面 ； 智慧型手機 ； 分析網路程序法

並列摘要

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.

並列關鍵字

smartphone property ； functional criteria ； Analysis Network Process ； smartphone

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