DocumentCode :
3774563
Title :
Shop area visit ratio, stay time, and sales outcomes: In-depth analysis based on RFID data
Author :
Zhen Li;Ken Ishibashi;Keiji Takai;Katsutoshi Yada
Author_Institution :
Data Science Laboratory, RISS, Kansai University, Osaka 564-8680, Japan
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
Prior research identifies that "visit" and "stay" relate positively to individual´s purchase outcome. However, the mechanism that how do these two factors affect sales outcomes at an aggregated level is still unclear. This study posits that shop area visit ratio leads to sales outcomes through the effects on stay time, and the influence paths of shop area visit ratio and stay time on sales outcomes differ across products. To further clarify the mechanism, we propose a mediation model, to study how shop area visit ratio and stay time affect purchasers ratio and purchase volume. The data in our study are used from ratio frequency identification (RFID) technology, and matched with point-of-sale (POS) data. The major result suggests that for "selected products", the two sales outcomes (i.e., purchasers ratio and purchase volume) are mainly determined by stay time, while for "planned products", which depends more on shop area visit ratio than stay time. This finding can help retailers to visualize the process of customers´ in-store shopping, and to better understand the importance of shop area visit ratio and stay time.
Keywords :
"Radiofrequency identification","Mediation","Layout","Data collection","Data mining","Business","Solid modeling"
Publisher :
ieee
Conference_Titel :
Computer Science and Engineering (APWC on CSE), 2015 2nd Asia-Pacific World Congress on
Type :
conf
DOI :
10.1109/APWCCSE.2015.7476231
Filename :
7476231
Link To Document :
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