Design of a RFID-Based Ubiquitous Comparison Shopping System

  • Kyoung Jun Lee
  • Young Hwan Seo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)


With the spread of the so-called always-online environment that allows consumers to be online anytime, anyplace, the next step will be the integration of online and offline markets. Competition will be consequently further intensified and there is a probability that in the process the role of offline retailers will shift from that of a traditional retailer to a displayer role. When this occurs, appropriate technological devices and business models should be explored so that both displayers and retailers can benefit. To this end, this paper proposes an RFID (Radio Frequency Identification) technology-based pervasive comparison shopping business model. RFID will allow consumers to be seamlessly connected to the network, and the advent of a new shopping network will enable a smoothly functioning incentive mechanism between displayers and retailers. Ultimately, a new shopping network will enable consumers to be engaged in seamless commerce.


Business Model Minimum Price Product Unit Cost High Speed Downlink Packet Access Electronic Product Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Accenture. Driving High Performance With Silent Commerce in The Supply Chain, White Paper (2005)Google Scholar
  2. 2.
    Bakos, Y.: Reducing Buyer Search Costs: Implications for Electronic Marketplaces. Management Science 43(12), 1676–1692 (1997)MATHCrossRefGoogle Scholar
  3. 3.
    Brody, A., Gottsman., E.: Pocket BargainFinder: A Handheld Device for Augmented Commerce. In: Proceedings of the International Symposium on Handheld and Ubiquitous Computing (1999)Google Scholar
  4. 4.
    Brush, A., Turner, T., Smith, M., Gupta, N.: Scanning Objects in the Wild: Assessing an Object Triggered Information System. In: Proceedings of Ubicomp 2005, pp. 305–322. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Chang, Y.S., Lee, K.J.: A QIP-Integrated Online Comparison Shopping Model and Its Implementation. Decision Support Systems (submitted, 2006)Google Scholar
  6. 6.
    Crowston, K.: The Effects of Market-enabling Internet Agents on Competition and Prices: A Model and Empirical Evidence. Journal of Electronic Commerce Research 2(1), 1–22 (2001)Google Scholar
  7. 7.
    Deloitte.: Synchronicity: An Emerging Vision of the Retail Future, White Paper (2004)Google Scholar
  8. 8.
    Holtjona, G.J., Fiona, F.H., Nah: U-commerce: Emerging Trends and Research Issues. Industrial Management & Data Systems 104(9), 744–755 (2004)CrossRefGoogle Scholar
  9. 9.
    Intermec. RFID Technology in Retail, White Paper (2005)Google Scholar
  10. 10.
    Keegan, S., O’ Hare, G.: EASISHOP: Delivering Cross Merchant Product Comparison Shopping for the Mobile User. In: Proceedings of the15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2004), Barcalona, Spain, September 5-8, 2004, pp. 44–51 (2004)Google Scholar
  11. 11.
    Konomi, S.: QueryLens: Beyond ID-Based Information Access. In: Proceedings of Ubicomp 2002, pp. 210–218. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  12. 12.
    Krulwich, B.: The BargainFinder agent. Comparison Price Shopping on the Internet. In: Williams, J. (ed.) Bots and Other Internet Beasties. SAMS.NET (1996)Google Scholar
  13. 13.
    Kushmerick, N., Weld, D., Doorenbos, B.: Wrapper Induction for Information Extraction. In: Proceedings of the International Joint Conference on Artificial intelligence (IJCAI 1997), Nagoya (1997)Google Scholar
  14. 14.
    Levinson, M.: The RFID Imperative. CIO Magazine (2005)Google Scholar
  15. 15.
    Ljungstrand, P., Redström, J., Holmquist, L.E.: Webstickers: Using Physical Tokens to Access, Manage and Share Bookmarks to the Web. In: Proceedings of DARE 2000, pp. 23–31 (2000)Google Scholar
  16. 16.
    Magretta, J.: Why Business Models Matter. Harvard Business Review 80(5), 86–89 (2002)Google Scholar
  17. 17.
    dos Santos, S.C., Angelim, S., Meira, S.R.L.: Building Comparison-Shopping Brokers on the Web. In: Fiege, L., Mühl, G., Wilhelm, U.G. (eds.) WELCOM 2001. LNCS, vol. 2232, pp. 26–38. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  18. 18.
    Symbol. Business Benefits from Radio Frequency Identification (RFID), White Paper (2005)Google Scholar
  19. 19.
    Hassan, T., Chatterjee, S.: A Taxonomy for RFID. In: Proceedings of the 39th Hawaii International Conference on System Sciences (2006)Google Scholar
  20. 20.
    Timmers, P.: Business Models for Electronic Markets. Electronic Markets 8(2), 3–8 (1998)CrossRefGoogle Scholar
  21. 21.
    Yuan, S.-T., Liu, A.: Next-Generation Agent-enabled Comparison Shopping. Expert systems with Applications 18(4), 283–297 (2000)CrossRefGoogle Scholar
  22. 22.
    Yuan, S.-T.: A Personalized and Integrative Comparison-Shopping Engine and its Applications. Decision Support Systems 43(2), 139–156 (2002)Google Scholar
  23. 23.
    Kwon, O.B., Sadeh, N.: Applying case-based reasoning and multi-agent intelligent system to context-aware comparative shopping. Decision Support Systems 37(2), 199–213 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kyoung Jun Lee
    • 1
  • Young Hwan Seo
    • 1
  1. 1.School of BusinessKyung Hee UniversitySeoulKorea

Personalised recommendations