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Integration of RFID and business analytics for trade show exhibitors

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  • Chongwatpol, Jongsawas

Abstract

Drastic changes in consumer markets over the last decades have increased the pressure and challenges for the trade exhibition industry. Exhibiting organizations demand higher levels of justification for involvement and expect returns on trade show investments. This study proposes an RFID-enabled track and traceability framework to improve information visibility at the trade site. The identification information can potentially create detailed, accurate, and complete visibility of attendees’ movements and purchasing behaviors and consequently lead to considerable analytical benefits. Leveraging the wealth of information made available by RFID is challenging; thus, the objective of this study is to outline how to incorporate RFID data into existing enterprise data to deliver analytical solutions to the trade show and exhibition industry. The results show that the exhibitor can use RFID to gather visitor intelligence and the key findings of this study provide valuable feedback to business analysts to promote follow-up marketing strategies.

Suggested Citation

  • Chongwatpol, Jongsawas, 2015. "Integration of RFID and business analytics for trade show exhibitors," European Journal of Operational Research, Elsevier, vol. 244(2), pages 662-673.
    • Handle: RePEc:eee:ejores:v:244:y:2015:i:2:p:662-673
    DOI: 10.1016/j.ejor.2015.01.054
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    References listed on IDEAS

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    1. Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.
    2. Bose, Indranil & Chen, Xi, 2009. "Quantitative models for direct marketing: A review from systems perspective," European Journal of Operational Research, Elsevier, vol. 195(1), pages 1-16, May.
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    Cited by:

    1. John A. Aloysius & Hartmut Hoehle & Soheil Goodarzi & Viswanath Venkatesh, 2018. "Big data initiatives in retail environments: Linking service process perceptions to shopping outcomes," Annals of Operations Research, Springer, vol. 270(1), pages 25-51, November.

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