<p>The delivery service business model is the final link in logistics for both online-and-offline business. An omni-channel, the online-and-offline business model, provides a complete and uninterrupted consumption experience by combining data and marketing content, acting as an offline physical channel and online with consistent services and information. Online-and-offline business models combine e-commerce and physical commerce. Regarding retail collaborative recommendation, that is, a recommendation mechanism involves two or more parties, such as logistics, retail firms and e-commerce operators, working together to obtaining necessary consumer information and knowledge, such as profiles and preferences, as the basis for personalized product recommendations. Thus, this study investigates Vietnamese consumer behaviors with delivery services and omni-channel online-and-offline (<i>n</i> = 2354). Data mining analytics, including clustering analysis and association rules, reveal knowledge clusters/patterns/rules for investigating delivery service and omni-channel online-and-offline for retail collaborative recommendations. Finally, discussion and implications are presented.</p>

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Delivery service and omni-channel online-and-offline for retail collaborative recommendations

  • Shu-Hsien Liao,
  • Retno Widowati,
  • Pham Nguyen My Linh

摘要

The delivery service business model is the final link in logistics for both online-and-offline business. An omni-channel, the online-and-offline business model, provides a complete and uninterrupted consumption experience by combining data and marketing content, acting as an offline physical channel and online with consistent services and information. Online-and-offline business models combine e-commerce and physical commerce. Regarding retail collaborative recommendation, that is, a recommendation mechanism involves two or more parties, such as logistics, retail firms and e-commerce operators, working together to obtaining necessary consumer information and knowledge, such as profiles and preferences, as the basis for personalized product recommendations. Thus, this study investigates Vietnamese consumer behaviors with delivery services and omni-channel online-and-offline (n = 2354). Data mining analytics, including clustering analysis and association rules, reveal knowledge clusters/patterns/rules for investigating delivery service and omni-channel online-and-offline for retail collaborative recommendations. Finally, discussion and implications are presented.