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Drivers for RFID Implementations

  • Conference paper
Exploring the Grand Challenges for Next Generation E-Business (WEB 2009)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 52))

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Abstract

This workshop paper studies drivers for RFID (Radio Frequency IDentification) adoption. The research in progress reported here puts forward several types of mindless and mindful decision making drivers. Hypotheses are tested using a questionnaire that was answered by 122 Chinese companies. The promise to reach higher efficiency seems to be the most important driver for mindful RFID adoption decisions. The early implementers were more driven to adoption by the promise of higher efficiency, better supply chain monitoring and better collaboration than late implementers. Tests show that mindless decision making shows up in RFID adoption.

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Author information

Authors and Affiliations

  1. IESEG School of Management, 3 Rue de la Digue, 59000, Lille, France

    Frank G. Goethals & G. Yazgi Tütüncü

  2. Department of Mathematics, Izmir University of Economics, Izmir, Turkey

    G. Yazgi Tütüncü

  3. Department of International Business, Chang Jung Christian University, Taiwan

    Chieh-Yu Lin

Authors
  1. Frank G. Goethals
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  2. G. Yazgi Tütüncü
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  3. Chieh-Yu Lin
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Editor information

Editors and Affiliations

  1. Department of Management Science and Systems, State University of New York at Buffalo, 14260, Buffalo, New York, NY, USA

    Raj Sharman

  2. Department of Management Science and Systems, State University of New York at Buffalo, School of Management, 14260, Buffalo, New York, NY, USA

    H. Raghav Rao

  3. Department of Information Systems, Arizona State University, 601G, 874606, Tempe, AZ, USA

    T. S. Raghu

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© 2010 Springer-Verlag Berlin Heidelberg

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Goethals, F.G., Tütüncü, G.Y., Lin, CY. (2010). Drivers for RFID Implementations. In: Sharman, R., Rao, H.R., Raghu, T.S. (eds) Exploring the Grand Challenges for Next Generation E-Business. WEB 2009. Lecture Notes in Business Information Processing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17449-0_7

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  • DOI: https://doi.org/10.1007/978-3-642-17449-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17448-3

  • Online ISBN: 978-3-642-17449-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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