需要金幣： 1000 個金幣 |
資料包括：完整論文 |  |
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| 轉(zhuǎn)換比率：金額 X 10=金幣數(shù)量， 例100元=1000金幣 | 論文字?jǐn)?shù)：21415 |  | |
| 折扣與優(yōu)惠：團(tuán)購最低可5折優(yōu)惠 - 了解詳情 | 論文格式：Word格式(*.doc) |  |
摘要:隨著我國互聯(lián)網(wǎng)的迅速普及和電子商務(wù)的蓬勃發(fā)展，越來越多的人開始在網(wǎng)絡(luò)上進(jìn)行購物，特別是C2C交易的發(fā)展尤為迅速。C2C電子商務(wù)迅速發(fā)展的同時，信用問題逐漸成為阻礙其發(fā)展的主要問題之一?，F(xiàn)有的C2C電子商務(wù)信用評價體系的建立，在一定程度上保證了網(wǎng)絡(luò)交易的安全，促進(jìn)了人們進(jìn)行網(wǎng)上購物的意愿，但仍存在明顯的不足。 本文以相關(guān)的理論為基礎(chǔ)，以淘寶網(wǎng)為例，分析現(xiàn)有C2C信用評價模型的優(yōu)缺點，針對電子商務(wù)的C2C交易信用評價模型的不足之處，考慮用戶特征，給出相應(yīng)的評價指標(biāo)，采用AHP層次分析法建立新的C2C信用評價體系，并提出了考慮評價用戶的歷史信用度、交易金額等因素來綜合計算被評用戶的信用度。 關(guān)鍵詞：電子商務(wù) C2C 信用評價 層次分析法
Abstract:With the Internet widespread and quickly developing of E-commerce in China, more and more people start to go shopping on the Internet, especially through the C2C trade. The credit problem is becoming one of problems of obstructing the development of C2C E-commerce. The existing credit evaluation system insures the net trading safety to a certain extent and promotes the willing of shopping online. But there still exists some obvious deficiencies. Based on some related theories of E-commerce, taking Taobao net as an example, this paper analyses the advantages and disadvantages of the existing personal credit evaluation model for C2C E-commerce. Aimed at the deficiency of the C2C E-commerce credit evaluation system, this paper takes the users’ characteristics into account so as to reach the corresponding evaluation indicator. The new C2C credit evaluation system is based on the AHP (Analytic Hierarchy Process). And also a new credit updating algorithm is described, which takes history credit-weight values of the evaluated users and the transaction amount into account. Key words: E-commerce, C2C, Credit Evaluation, AHP
基于上述背景，為使信用評價機制更好地體現(xiàn)買賣雙方在交易中的表現(xiàn)，使其既能保護(hù)雙方的合法利益，又能對電子商務(wù)的發(fā)展起到監(jiān)督和規(guī)范作用。本文以淘寶網(wǎng)為例，分析現(xiàn)有C2C信用評價模型的優(yōu)缺點，針對現(xiàn)有電子商務(wù)的C2C交易模型的特點，考慮用戶特征，給出相應(yīng)評價指標(biāo)體系以及評價規(guī)則，采用AHP層次分析法建立新的C2C信用評價體系，確定各個評價指標(biāo)相對應(yīng)的權(quán)重，同時建立改進(jìn)后的C2C信用評價模型，并提出了考慮評價用戶的歷史信用度、交易金額等因素來綜合計算被評用戶的信用度。
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