AnalyzingIn-store Shopping Paths from Indirect Observation with RFIDTags Communication Data
DOI:
https://doi.org/10.24212/2179-3565.2014v5i1p88-96Keywords:
Shopping Path, Customer Behaviors, Point of Sales (POS) data, Radio Frequency Identification (RFID), Retail Store, Services Sciences and Management and EngineeringAbstract
This paper presents in-store customer behavioral model gathered from RFID (RadioFrequency Identification) tags communication data. Although this kind of research has beenmade by various methods such as interviewing or tracking behind customers, Conventionalresearch methods are made by with the existence of customer tracking research, so far. Forcollection of natural customer behavior, we made a customer in-store behavior research withRFID tags in a real retail store. In a conventional store design theory, it has been thought thatincreasing the length of staying time can raise the amount of money per person. Therefore,the store has been designed in the form that goes inside of a shop around. The experimentalresults suggest that there is a correlation between the spent of time and the length of customerwalking path.Downloads
Published
2014-01-20
Issue
Section
Papers
License
This Journal is licensed under a Creative Commons Attribution-Non Commercial-No Derivers 4.0 International license.
1.The author (s) authorize the publication of the article in the journal;
2.The author (s) warrant that the contribution is original and unpublished and is not in the process of being evaluated in other journal (s);
3. The journal is not responsible for the opinions, ideas and concepts emitted in the texts, as they are the sole responsibility of its author (s);
4. The editors are entitled to make textual adjustments and to adapt the articles to the standards of publication.