Delivery service and online-and-offline purchasing for collaborative recommendations on retail cross- channels

淡江大學機構典藏 > 商管學院 > 管理科學學系暨研究所 > 期刊論文 > Item 987654321/126334

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题名:	Delivery service and online-and-offline purchasing for collaborative recommendations on retail cross- channels
作者:	Liao, Shu-Hsien;Widowati, Retno;Huang, Jian-Ming
关键词:	Delivery service;online-and-offline purchasing;retail cross-channel;collaborative recommendations;data mining analytics
日期:	2024-12
上传时间:	2024-10-02 12:06:23 (UTC+8)
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.
關聯:	Enterprise Information Systems
DOI:	10.1080/17517575.2024.2403101
显示于类别:	[管理科學學系暨研究所] 期刊論文

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