https://scholars.lib.ntu.edu.tw/handle/123456789/386939
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | You, C.-W. | en_US |
dc.contributor.author | Kao, H.-L.C. | en_US |
dc.contributor.author | Ho, B.-J. | en_US |
dc.contributor.author | Chen, Y.-H.T. | en_US |
dc.contributor.author | Wang, W.-F. | en_US |
dc.contributor.author | Bei, L.-T. | en_US |
dc.contributor.author | Chu, H.-H. | en_US |
dc.contributor.author | MING-SYAN CHEN | en_US |
dc.date.accessioned | 2018-09-10T14:57:17Z | - |
dc.date.available | 2018-09-10T14:57:17Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84896280581&partnerID=MN8TOARS | - |
dc.identifier.uri | http://scholars.lib.ntu.edu.tw/handle/123456789/386939 | - |
dc.description.abstract | 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.language | en | en |
dc.relation.ispartof | IEEE Pervasive Computing | en_US |
dc.source | AH-Scopus to ORCID | - |
dc.subject | consumer behavior and marketing research; data collection and analysis; pervasive computing; phone sensing | - |
dc.subject.classification | [SDGs]SDG12 | - |
dc.subject.other | 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 | ConvenienceProbe: A phone-based system for retail trade-area analysis | - |
dc.type | journal article | en |
dc.identifier.doi | 10.1109/MPRV.2013.24 | - |
dc.identifier.scopus | 2-s2.0-84896280581 | - |
dc.identifier.isi | WOS:000332737800011 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
dc.relation.pages | 64-71 | - |
dc.relation.journalvolume | 13 | - |
dc.relation.journalissue | 1 | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Communication Engineering | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.orcid | 0000-0002-0711-8197 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
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