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題名 ConvenienceProbe: A phone-based system for retail trade-area analysis
作者 You, C.-W.;Kao, H.-L.C.;Ho, B.-J.;Wang, Wei-Fehng;Bei, Lien-Ti
別蓮蒂
貢獻者 企管系
關鍵詞 Behavioral research; Retail stores; Sales; Telephone sets; Ubiquitous computing; Convenience stores; Data collection; Data collection system; Face-to-face interview; Local residents; Marketing research; phone sensing; Products and services; Telephone systems
日期 2014-01
上傳時間 2-Jun-2015 17:10:55 (UTC+8)
摘要 Systematically and quantitatively determining patterns in consumer flow is an important problem in marketing research. Identifying these patterns can facilitate an 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 article introduces ConvenienceProbe, a phone-based data collection system for retail trade-area analysis. The proposed method 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. © 2002-2012 IEEE.
關聯 IEEE Pervasive Computing, 13(1), 論文編號 6407143, 64-71
資料類型 article
DOI http://dx.doi.org/10.1109/MPRV.2013.24
dc.contributor 企管系
dc.creator (作者) You, C.-W.;Kao, H.-L.C.;Ho, B.-J.;Wang, Wei-Fehng;Bei, Lien-Ti
dc.creator (作者) 別蓮蒂zh_TW
dc.date (日期) 2014-01
dc.date.accessioned 2-Jun-2015 17:10:55 (UTC+8)-
dc.date.available 2-Jun-2015 17:10:55 (UTC+8)-
dc.date.issued (上傳時間) 2-Jun-2015 17:10:55 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75526-
dc.description.abstract (摘要) Systematically and quantitatively determining patterns in consumer flow is an important problem in marketing research. Identifying these patterns can facilitate an 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 article introduces ConvenienceProbe, a phone-based data collection system for retail trade-area analysis. The proposed method 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. © 2002-2012 IEEE.
dc.format.extent 2032087 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) IEEE Pervasive Computing, 13(1), 論文編號 6407143, 64-71
dc.subject (關鍵詞) Behavioral research; Retail stores; Sales; Telephone sets; Ubiquitous computing; Convenience stores; Data collection; Data collection system; Face-to-face interview; Local residents; Marketing research; phone sensing; Products and services; Telephone systems
dc.title (題名) ConvenienceProbe: A phone-based system for retail trade-area analysis
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1109/MPRV.2013.24
dc.doi.uri (DOI) http://dx.doi.org/10.1109/MPRV.2013.24