主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
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Chinese Journal of Management Science ›› 2021, Vol. 29 ›› Issue (6): 211-222.doi: 10.16381/j.cnki.issn1003-207x.2018.1727

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Research on the Impact of Online Reviews and Product Involvement on Virtual Shopping-Cart Decision-making Based on Consumer Involvement

GAO Hong-ming, LIU Hong-wei, ZHAN Ming-jun, FAN Meng-ting, LIANG Zhou-yang   

  1. School of Management, Guangdong University of Technology, Guangzhou 510520, China
  • Received:2018-12-04 Revised:2019-05-07 Published:2021-06-29

Abstract: Examining the non-buying behavior such as abandoning shopping carts enriches consumer decision-making theory, and helps e-commerce develop better personalized marketing strategies. In accordance with Consumer Involvement theory, three product involvement are elaborated, i.e., Time-, Attention-, and Tag-involvement. Online reviews and the effect of time dependency within product involvement are also considered. Applying a clickstream dataset from JD.com, a discrete choice model is proposed to model the virtual shopping cart decision-making. The result shows that(1) Time-involvement has a positive effect on the shopping cart abandonment, and stronger on purchase.(2)The higher Attention-involvement implies the lower probability of shopping cart abandonment, yet consumers' purchasing intention decreases either.(3)Tag-involvement negatively associates with shopping cart abandonment. The cross-elasticity simulation is conducted. The visualization shows (4) products with higher Tag-involvement are susceptible to negative reviews, leading to abandonment. Time-involvement and the proportion of negative reviews, positively and steadily affect the likelihood of abandoning shopping cart. Finally, a theoretical basis for customized recommendation and online review management is provided.

Key words: shopping cart abandonment, product involvement, online reviews, clickstream

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