IDEAS home Printed from https://ideas.repec.org/h/zbw/entr15/183659.html
   My bibliography  Save this book chapter

Enterprises Using Radio Frequency Identification in European Union: Current Outlook (2009-2014)

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Kotor, Montengero, 10-11 September 2015

Author

Listed:
  • Zoroja, Jovana
  • Klopotan, Igor
  • Šimičević, Vanja

Abstract

Implementation and usage of the latest inventions in information technology provides enterprises better position on the global market. Radio Frequency Identification (RFID) presents the innovative information technology that can change and improve many of the enterprises collaboration operations and support decision making process. The best results of RFID usage are achieved in the supply chain systems, but RFID can be applied in the fields of medicine, finance, logistics and trade. Goal of this paper is to evaluate trends and purposes of RFID usage among enterprises in European Union. We also analyse usage of RFID among Enterprises in European Union according to the industry. Future research will focus on application of RFID among enterprises worldwide and to examine are there any differences in RFID usage among developed and developing countries.

Suggested Citation

  • Zoroja, Jovana & Klopotan, Igor & Šimičević, Vanja, 2015. "Enterprises Using Radio Frequency Identification in European Union: Current Outlook (2009-2014)," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2015), Kotor, Montengero, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Kotor, Montengero, 10-11 September 2015, pages 280-287, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr15:183659
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/183659/1/39-ENT-2015-Zoroja-et-al-pp-280-287.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Radio Frequency Identification; Technology; Enterprises; European Union Countries;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • N7 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:entr15:183659. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.entrenova.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.