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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/113617

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/113617

Title:	RFID-enabled item-level retail pricing
Authors:	杜雨儒 Zhou, Wei Tu, Yu-Ju Piramuthu, Selwyn
Contributors:	資管系
Keywords:	RFID;Item-level information;Knowledge-based learning system;Dynamic pricing;Item-level pricing;EDLP;Hi-Lo;Pricing strategy
Date:	2009
Issue Date:	2017-10-16 12:09:04 (UTC+8)
Abstract:	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.
Relation:	Decision Support Systems, Vol.48, No.1, pp.169-179
Data Type:	article
Appears in Collections:	[資訊管理學系] 期刊論文

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