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Chuang-Wen You , Dartmouth College Academia Sinica, Hanover Taipei
Hsin-Liu Kao , National Taiwan University, Taipei
Bo-Jhang Ho , National Taiwan University, Taipei
Yu-Han Chen , National Taiwan University, Taipei
Wei-Fehng Wang , National ChengChi University, Taipei
Lien-Ti Bei , National ChengChi University, Taipei
Hao-hua Chu , National Taiwan University, Taipei
Ming-Syan Chen , Academia Sinica, Taipei
ABSTRACT
Systematically and quantitatively determining patterns in consumer flow is an important question in marketing research. Identifying these patterns can facilitate understanding of where and when consumers purchase products and services at physical retail shops. Collecting data on real consumers who shop at retail stores is one of the most challenging and expensive aspects of these studies. This paper introduces a phone-based data collection system, called ConvenienceProbe, for retail trade area analysis. The proposed method specifically targets local residents shopping at neighborhood convenience stores. This study deploys and tests the system by collecting real customer flow data in neighborhood convenience stores. Results show that the consumer flow data collected from the ConvenienceProbe system is comparable to that from a traditional face-to-face interview method.
CITATION
Chuang-Wen You, Hsin-Liu Kao, Bo-Jhang Ho, Yu-Han Chen, Wei-Fehng Wang, Lien-Ti Bei, Hao-hua Chu, Ming-Syan Chen, "ConvenienceProbe: A Phone-based Data Collection and Access System for Retail Trade Area Analysis", IEEE Pervasive Computing, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/MPRV.2013.24
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