博碩士論文 105421049 完整後設資料紀錄

DC 欄位 語言
DC.contributor企業管理學系zh_TW
DC.creator鄭楊叡zh_TW
DC.creatorYang-Ruei Jhengen_US
dc.date.accessioned2018-7-6T07:39:07Z
dc.date.available2018-7-6T07:39:07Z
dc.date.issued2018
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=105421049
dc.contributor.department企業管理學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在過去大部分的研究都是採用問卷的方式進行研究。然而,在很多情況下參與者並不願意填寫很長的問卷,導致問卷收集無效。在本研究我們將採用資料驅動的方式從ERP系統中萃取出有價值的資訊。藉由確認信任與忠誠度的關係我們驗證了我們的信任與忠誠度的操作定義。此外,我們採用信任與忠誠度當我們的獨立變數以及藉由卷積類神經網路演算去預測顧客的消費者再購行為。此結果顯示與SVM和回歸方程相比,都有較高的準確率。zh_TW
dc.description.abstractThe prediction of customer’s repurchasing behavior provides competitive advantage to companies. In e-commerce, the trust and loyalty are key factors influencing repurchasing behavior. Therefore, the aim of this study was to use data driven based methodology to compute trust and loyalty and to predict repurchasing behavior with these values. In the past, most researches replied on questionnaires to collect customer loyalty and trust. The drawback of this approach is that participants may not be willing to fill the lengthy questions which resulted in low data collection rate and even low quality of data being collected. In this study, we extract the information from ERP systems and defined formula to compute trust and loyalties. The values of trust and loyalty are treated as independent variables and being applied to Convolutional Neural Network (CNN) to predict customer’s repurchase behavior. The accuracy of the prediction reached 84%en_US
DC.subject信任zh_TW
DC.subject忠誠度zh_TW
DC.subject再購行為zh_TW
DC.subject資料驅動zh_TW
DC.subject卷積類神經網路zh_TW
DC.subjecttrusten_US
DC.subjectloyaltyen_US
DC.subjectdata-drivenen_US
DC.subjectCNNen_US
DC.subjectrepurchase behavioren_US
DC.title以CNN方法結合信任與忠誠度預測再購行為之研究zh_TW
dc.language.isozh-TWzh-TW
DC.titleApplying CNN on trust and loyalty data to predict customer purchasing behavioren_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明