Document Type

Journal Article

Department/Unit

Department of Computer Science

Language

English

Abstract

In this paper, we propose a novel pervasive business model for sales promotion in retail chain stores utilizing WLAN localization and near field communication (NFC) technologies. The objectives of the model are to increase the customers' flow of the stores and their incentives in purchasing. In the proposed model, the NFC technology is used as the first mean to motivate customers to come to the stores. Then, with the use of WLAN, the movements of the customers, who are carrying smartphones, within the stores are captured and maintained in the movement database. By interpreting the movements of customers as indicators of their interests to the displayed items, personalized promotion strategies can be formulated to increase their incentives for purchasing future items. Various issues in the application of the adopted localization scheme for locating customers in a store are discussed. To facilitate the item management and space utilization in displaying the items, we propose an enhanced R-tree for indexing the data items maintained in the movement database. Experimental results have demonstrated the effectiveness of the adopted localization scheme in supporting the proposed model.

Publication Date

2015

Source Publication Title

Mobile Information Systems

Volume

2015

Start Page

626070

Publisher

Hindawi Publishing Corporation

Peer Reviewed

1

Copyright

Copyright © 2015 Kam-Yiu Lam et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Funder

The work reported here was supported in part by the HKBU Research Centre for Ubiquitous Computing (RCUC), the Institute of Computational and Theoretical Studies (ICTS), and the HKBU Strategic Development Fund under the Grant no. HKBU SDF 10-0526-P08. The work was supported in part by a Strategic Research Grant (Project no. 7004044) from City University of Hong Kong.

DOI

10.1155/2015/626070

Link to Publisher's Edition

http://dx.doi.org/10.1155/2015/626070

ISSN (print)

1574017X

ISSN (electronic)

1875905X

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