2010
DOI: 10.1007/978-3-642-15393-8_29
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Relation between Stay-Time and Purchase Probability Based on RFID Data in a Japanese Supermarket

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Cited by 19 publications
(6 citation statements)
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“…Moreover, through dwell time analysis, companies can conduct marketing active ties that can increase purchase probability. Dwell time and in-between time of the actual purchases in stores are correlated [17], and such tendency strengthens primarily in regard to dwell time in specific store zones and purchases of the products within relevant domains. Therefore, store managers can increase purchasing probability not by actively responding to the customers from the beginning, but by reacting to the acquired information according to the dwell time analysis.…”
Section: Goals Of Smart Store Frommentioning
confidence: 99%
“…Moreover, through dwell time analysis, companies can conduct marketing active ties that can increase purchase probability. Dwell time and in-between time of the actual purchases in stores are correlated [17], and such tendency strengthens primarily in regard to dwell time in specific store zones and purchases of the products within relevant domains. Therefore, store managers can increase purchasing probability not by actively responding to the customers from the beginning, but by reacting to the acquired information according to the dwell time analysis.…”
Section: Goals Of Smart Store Frommentioning
confidence: 99%
“…Furthermore, companies can increase sales rates through duration time analyses. The trend in which a positive correlation exists between visit durations and actual purchasing 30 can be even more apparent for particular store zones and products within those zones. Based on this knowledge, store managers can identify methods to increase the sales rates by responding to customers after acquiring information on customer interest based on visit duration instead of directly engaging to the customer at the start of a visit.…”
Section: Background Knowledge and Related Workmentioning
confidence: 99%
“…De Marco et al 36 analyzed the store operations records of Italian apparel retailers using RFID technology, and Kholod et al 37 examined the effects of shopping path length in grocery stores on purchase behavior using RFID data. Takai and Yada 30 used RFID data in a Japanese supermarket to derive the relationship between stay-time and purchase probability. Pierdicca et al 38 suggested a persuasive retail environment by installing Bluetooth beacons in showrooms of Italian fashion retailers and using collected data for customer behavior analysis.…”
Section: Background Knowledge and Related Workmentioning
confidence: 99%
“…Several researchers used Radio Frequency Identification (RFID) as a technology for tracking humans (Liao and Lin, 2007;Kanda et al, 2007;Hurjui et al, 2008;Takai and Yada, 2010;Fujino et al, 2014). Due to its high positional accuracy and its applicability in indoor settings, RFID promises to be a valuable option for tracking customers in a marketing context.…”
Section: Rfidmentioning
confidence: 99%