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Overcoming Visibility Issues in a Small-to-Medium Retailer Using Automatic Identification and Data Capture Technology: An Evolutionary Approach
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Author(s): Dane Hamilton (University of Wollongong, Australia), Katina Michael (University of Wollongong, Australia)and Samuel Fosso Wamba (University of Wollongong, Australia)
Copyright: 2010
Volume: 6
Issue: 2
Pages: 24
Source title:
International Journal of E-Business Research (IJEBR)
Editor(s)-in-Chief: Jeffrey Hsu (Fairleigh Dickinson University, USA)
DOI: 10.4018/jebr.2010040102
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Abstract
In this paper, the authors the inventory control practices of a small-to-medium retailer to identify common challenges this type of organization experiences with respect to automated data capture (ADC) and the implementation of an enterprise wide information system. The study explores a single case of a hardware store in a regional town in New South Wales, Australia. Four semi-structured interviews were conducted with employees, focusing on issues related to inventory control including delivery discrepancies, checking and sorting of orders, locating stock and goods, loss prevention, customer purchasing and point of sale processing and replenishment. Flowcharts illustrate the current processes of the retailer with an understanding of how ADC technologies like bar code and radio-frequency identification (RFID) impact the retailer. The findings promote an evolutionary approach toward the use of automated data capture technology by adopting barcode technology and subsequently introducing the complementary RFID technology.
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