Delivery service and online-and-offline purchasing for collaborative recommendations on retail cross- channels | |
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學年 | 113 |
學期 | 1 |
出版(發表)日期 | 2024-12-01 |
作品名稱 | Delivery service and online-and-offline purchasing for collaborative recommendations on retail cross- channels |
作品名稱(其他語言) | |
著者 | Shu-Hsien Liao; Retno Widowati; Jian-Ming Huang |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | Enterprise Information Systems |
摘要 | The delivery service business model is the final link in logistics for both online-and-offline business. Online-and-offline business models combine e-commerce and physical commerce, using online marketing techniques to drive consumption in physical channels. Delivery service and online-and-offline purchasing for collaborative recommendations on retail cross-channels are complex and cross-disciplinary problems of enterprise integration. This study implements two-stage data mining analytics for clustering and association rules analysis, to investigate Taiwan consumers’ (n = 2,209) preferences for delivery service. This process clarifies online-and-offline purchasing behaviours and preferences to find knowledge profiles/patterns/rules for cross-channel collaborative recommendations. Finally, theoretical and practical implications for methodology and enterprise are presented. |
關鍵字 | Delivery service;online-and-offline purchasing;retail cross-channel;collaborative recommendations;data mining analytics |
語言 | en_US |
ISSN | 1751-7583 |
期刊性質 | 國外 |
收錄於 | SCI |
產學合作 | |
通訊作者 | |
審稿制度 | 否 |
國別 | USA |
公開徵稿 | |
出版型式 | ,電子版 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126334 ) |