學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 RFID-enabled item-level retail pricing
作者 杜雨儒
Zhou, Wei
Tu, Yu-Ju
Piramuthu, Selwyn
貢獻者 資管系
關鍵詞 RFID;Item-level information;Knowledge-based learning system;Dynamic pricing;Item-level pricing;EDLP ; Hi-Lo;Pricing strategy
日期 2009
上傳時間 16-Oct-2017 12:09:04 (UTC+8)
摘要 A major advantage that online retailers possess that their brick-and-mortar counterparts do not is their ability to continually vary item price. Given the competition among these retailers, it is increasingly becoming a necessity for brick-and-mortar retailers to develop a coherent and profitable pricing strategy. Recent advances in RFID technology can be beneficially utilized in this context. We develop a knowledge-based adaptive learning framework for item-level dynamic pricing in retail stores. Specifically, we consider retail stores that issue membership cards that the members may use to receive promotions and other benefits. Instantaneous snapshots of customers in the store and their characteristics are used to dynamically vary retail store item-level prices. Using simulation, we illustrate the dynamic of the proposed framework. Preliminary results confirm the beneficial aspects of such a framework for item-level dynamic pricing in a retail store environment.
關聯 Decision Support Systems, Vol.48, No.1, pp.169-179
資料類型 article
dc.contributor 資管系
dc.creator (作者) 杜雨儒zh-TW
dc.creator (作者) Zhou, Weien-US
dc.creator (作者) Tu, Yu-Juen-US
dc.creator (作者) Piramuthu, Selwynen-US
dc.date (日期) 2009
dc.date.accessioned 16-Oct-2017 12:09:04 (UTC+8)-
dc.date.available 16-Oct-2017 12:09:04 (UTC+8)-
dc.date.issued (上傳時間) 16-Oct-2017 12:09:04 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/113617-
dc.description.abstract (摘要) A major advantage that online retailers possess that their brick-and-mortar counterparts do not is their ability to continually vary item price. Given the competition among these retailers, it is increasingly becoming a necessity for brick-and-mortar retailers to develop a coherent and profitable pricing strategy. Recent advances in RFID technology can be beneficially utilized in this context. We develop a knowledge-based adaptive learning framework for item-level dynamic pricing in retail stores. Specifically, we consider retail stores that issue membership cards that the members may use to receive promotions and other benefits. Instantaneous snapshots of customers in the store and their characteristics are used to dynamically vary retail store item-level prices. Using simulation, we illustrate the dynamic of the proposed framework. Preliminary results confirm the beneficial aspects of such a framework for item-level dynamic pricing in a retail store environment.en_US
dc.format.extent 2450591 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Decision Support Systems, Vol.48, No.1, pp.169-179zh_TW
dc.subject (關鍵詞) RFID;Item-level information;Knowledge-based learning system;Dynamic pricing;Item-level pricing;EDLP ; Hi-Lo;Pricing strategyen_US
dc.title (題名) RFID-enabled item-level retail pricingen_US
dc.type (資料類型) article