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首页> 外文期刊>Journal of Marketing >Smart Shopping Carts: How Real-Time Feedback Influences Spending
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Smart Shopping Carts: How Real-Time Feedback Influences Spending

机译:智能购物车:实时反馈如何影响支出

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摘要

Although interest in smart shopping carts is increasing, both retailers and consumer groups have concerns about how real-time spending feedback will influence shopping behavior. Building on budgeting and spending theories, the authors conduct three lab and grocery store experiments that robustly show that real-time spending feedback has a diverging impact on spending depending on whether a person is budget constrained ("budget" shoppers) or not ("nonbudget" shoppers). Real-time spending feedback stimulates budget shoppers to spend more (by buying more national brands). In contrast, this feedback leads nonbudget shoppers to spend less (by replacing national brands with store brands). Furthermore, smart shopping carts increase repatronage intentions for budget shoppers while keeping them stable for nonbudget shoppers. These findings underscore fundamental unexplored differences between budget and nonbudget shoppers. Moreover, they have key implications for both brick-and-mortar and online retailers as well as app developers.
机译:尽管人们对智能购物车的兴趣在增加,但零售商和消费群体都对实时支出反馈将如何影响购物行为表示担忧。在预算和支出理论的基础上,作者进行了三个实验室和杂货店实验,这些实验强有力地表明,实时支出反馈对支出有不同的影响,具体取决于一个人是否受到预算约束(“预算”购物者)(“预算外”购物者) “购物者)。实时支出反馈会刺激预算购物者花更多的钱(通过购买更多的民族品牌)。相反,这种反馈导致非预算购物者减少支出(通过将民族品牌替换为商店品牌)。此外,智能购物车增加了预算购物者的再购买意图,同时又使非预算购物者保持了稳定的购物习惯。这些发现强调了预算购买者和非预算购买者之间的根本性未开发差异。此外,它们对实体商店和在线零售商以及应用程序开发人员都具有关键意义。

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