销售协助对购买决策的影响:使用零售视频数据的分析

IF 1.3 4区 管理学 Q3 BUSINESS
Aditya Jain, S. Misra, N. Rudi
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引用次数: 8

摘要

我们使用来自化妆品零售连锁店的独特观察视频数据来调查销售协助在推动客户购买决策中的作用。这些数据包含客户及其店内活动的可视化描述符,包括他们与销售人员(销售协助)互动所花费的时间,并与他们的购买决策相关联。我们的实证规范是基于顾客决定参与销售协助以获取对购买决策有意义的信息的过程。因此,我们将销售援助视为内生结构,并采用控制函数方法使用与销售援助供应有关的工具来纠正这种内生性。我们的分析量化了销售协助在推动客户购买决策中的作用,并表明销售协助的有效性随着其数量而减少。除了强调销售协助对购买决策的重要性外,我们的结果还量化了零售商如何通过增加销售人员的可用性来影响销售协助。我们还研究了销售协助对顾客进行店内搜索的影响。最后,我们对顾客购物和购买行为的异质性提供了一些具体的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of Sales Assistance on Purchase Decisions: An analysis using retail video data
We investigate the role of sales assistance in driving customer’s purchase decision using unique observational video data from a cosmetics retail chain. The data contain visual descriptors of customers and their in-store activities including the time they spent in interacting with salespersons ( sales assistance ), and are linked to their purchase decisions. Our empirical specification is based on the process of customer deciding to engage in sales assistance to acquire information meaningful toward purchase decision. Thus, we treat sales assistance as endogenous construct, and employ a control function approach to correct for this endogeneity using instruments pertaining to the supply of sales assistance. Our analysis quantifies the role of sales assistance in driving a customer’s purchase decision, and it shows that the effectiveness of sales assistance diminishes with its amount. In addition to highlighting the importance of sales assistance towards purchase decisions, our results also quantify how the retailer can influence sales assistance by increasing the availability of salespersons. We also examine the effect of sales assistance on in-store search carried out by the customer. Finally, we offer number of context specific insights into the heterogeneity of customers’ shopping and purchasing behavior.
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来源期刊
CiteScore
2.30
自引率
10.50%
发文量
13
期刊介绍: Quantitative Marketing and Economics (QME) publishes research in the intersection of Marketing, Economics and Statistics. Our focus is on important applied problems of relevance to marketing using a quantitative approach. We define marketing broadly as the study of the interface between firms, competitors and consumers. This includes but is not limited to consumer preferences, consumer demand and decision-making, strategic interaction of firms, pricing, promotion, targeting, product design/positioning, and channel issues. We embrace a wide variety of research methods including applied economic theory, econometrics and statistical methods. Empirical research using primary, secondary or experimental data is also encouraged. Officially cited as: Quant Mark Econ
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