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Consumer adoption of RFID-enabled services. Applying an extended UTAUT model

Author

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  • Herbjørn Nysveen

    (Norwegian School of Economics)

  • Per Egil Pedersen

    (Buskerud and Vestfold University College)

Abstract

In this article, an extended version of the unified theory of acceptance and use of technology (UTAUT) is applied to explore the significance of various antecedents of acceptance of eight versions of a radio frequency identification (RFID) enabled service. The results show significant influences from performance expectancy, effort expectancy and technology anxiety on attitude to use RFID-enabled services, while facilitating conditions and attitude to use both have significant influences on intention to use the services. Looking into potential moderating influences, gender moderates most of the relationships in the model while age and experience with identification technology do not seem to be relevant moderators. Exploring the potential moderating influence of context experience, experience of the service context is found to moderate some of the relationships in the model. Managerial implications point to the importance of developing useful and user-friendly services and of communicating the user friendliness to potential customers to avoid the potential negative influence of technology anxiety. Service development and market communication should be sensitive to gender and context experience.

Suggested Citation

  • Herbjørn Nysveen & Per Egil Pedersen, 2016. "Consumer adoption of RFID-enabled services. Applying an extended UTAUT model," Information Systems Frontiers, Springer, vol. 18(2), pages 293-314, April.
    • Handle: RePEc:spr:infosf:v:18:y:2016:i:2:d:10.1007_s10796-014-9531-4
    DOI: 10.1007/s10796-014-9531-4
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    1. repec:cup:judgdm:v:1:y:2006:i::p:48-63 is not listed on IDEAS
    2. Ronald T. Cenfetelli & Andrew Schwarz, 2011. "Identifying and Testing the Inhibitors of Technology Usage Intentions," Information Systems Research, INFORMS, vol. 22(4), pages 808-823, December.
    3. Heather E. Sill & Sandra L. Fisher & Michael E. Wasserman, 2008. "Consumer reactions to potential intrusiveness and benefits of RFID," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 7(1), pages 76-97.
    4. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    5. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    6. Ligas, Mark & Chaudhuri, Arjun, 2012. "The moderating roles of shopper experience and store type on the relationship between perceived merchandise value and willingness to pay a higher price," Journal of Retailing and Consumer Services, Elsevier, vol. 19(2), pages 249-258.
    7. Müller-Seitz, Gordon & Dautzenberg, Kirsti & Creusen, Utho & Stromereder, Christine, 2009. "Customer acceptance of RFID technology: Evidence from the German electronic retail sector," Journal of Retailing and Consumer Services, Elsevier, vol. 16(1), pages 31-39.
    8. Quan Z. Sheng & Sherali Zeadally & Zongwei Luo & Jen-Yao Chung & Zakaria Maamar, 2010. "Ubiquitous RFID: Where are we?," Information Systems Frontiers, Springer, vol. 12(5), pages 485-490, November.
    9. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    12. Ngai, E.W.T. & Moon, Karen K.L. & Riggins, Frederick J. & Yi, Candace Y., 2008. "RFID research: An academic literature review (1995-2005) and future research directions," International Journal of Production Economics, Elsevier, vol. 112(2), pages 510-520, April.
    13. Avi Goldfarb & Catherine Tucker, 2012. "Shifts in Privacy Concerns," American Economic Review, American Economic Association, vol. 102(3), pages 349-353, May.
    14. Janice Y. Tsai & Serge Egelman & Lorrie Cranor & Alessandro Acquisti, 2011. "The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study," Information Systems Research, INFORMS, vol. 22(2), pages 254-268, June.
    15. Ludwig Christian Schaupp & Lemuria Carter, 2010. "The impact of trust, risk and optimism bias on E-file adoption," Information Systems Frontiers, Springer, vol. 12(3), pages 299-309, July.
    16. Garbarino, Ellen & Strahilevitz, Michal, 2004. "Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation," Journal of Business Research, Elsevier, vol. 57(7), pages 768-775, July.
    17. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    18. Peltier, James W. & Milne, George R. & Phelps, Joseph E., 2009. "Information Privacy Research: Framework for Integrating Multiple Publics, Information Channels, and Responses," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 191-205.
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