網路拍賣之盛行已日漸影響現代科技生活,許多網路或是實體店面業者紛紛攻佔網路購物平台。本研究根據資訊系統成功模式以及消費者線上使用滿意度,加上價格意識及網路外部性兩個影響因素,整合出適合網路購物的拍賣網站架構並分別對拍賣網站的三種模式:使用「直購價購買」、「傳統網路競標」以及「點數競標拍賣」個別進行資料蒐集。本研究使用問卷調查法,利用網路問卷之調查方式,針對社群網站以及電子布告欄進行問卷發放。研究結果表示消費者在拍賣網站最注重之影響購買因素為「系統品質」,其次為「資訊品質」,再來為「價格意識」及「網路外部性」,而「服務品質」在其中的影響程度相對較低。除了利用迴歸分析驗證其假說外,本研究使用Pearson相關分析、單因子變異數分析分別探討三種拍賣模式間的影響因素差異。發現使用直購價購買之消費者在性別、教育程度、接觸網路購物經驗及最近一次在網路購物時間有顯著差異;使用傳統網路競標之消費者在性別、教育程度及接觸網路購物經驗有顯著差異;使用點數競標拍賣之消費者在年齡、教育程度、月收入、每個月可自由運用在網路上之金額、最近一次在網路購物時間有顯著差異。業者應考慮消費者所屬族群,對該設定族群加強研究結果所重視的影響拍賣行為之因素。
Online auctions have influenced our modern life extensively, and this phenomenon makes many online/physical retail stores have jumped into this shopping competition. My thesis study is based on information system success model and consumer satisfaction with online usage and added with price consciousness and network externalities two factors to conclude 3 resolutions that are suitable for online shopping/auction site: Use "Buy price "," Traditional online bidding " and " Bidding fee auction ". My study is using online questionnaire survey for social networking sites and bulletin board system. The results of the research indicate that consumers are most concerned about the impact of online auction site buying factors as "system quality", followed by "information quality", again as a "price-conscious" and "network externalities ". However, "service quality” is lowest one for the effect level. Except using regression analysis to verify the hypothesis, this study also used Pearson correlation analysis and ANOVA analysis to discuss the differences of the factors of those three kinds of auction models. Finding that the use of consumers in the Buy price are significantly difference in gender, level of education, contacts online shopping experience and the last time on Internet shopping time; Using Traditional online bidding of consumers on gender, level of education and contacts online shopping experience are significantly different; Bidding fee auction of consumers in age, education level, monthly income, monthly free to use the amount on Internet, the last time on Internet shopping time have significant differences. The businesses should consider consumer groups and set up the valued ethnic strengthen the impact of auction behavior factor.