IDEAS home Printed from https://ideas.repec.org/a/igg/jea000/v9y2017i2p1-16.html
   My bibliography  Save this article

Perceived Innovation and Quick Response Codes in an Online-to-Offline E-Commerce Service Model

Author

Listed:
  • Shinyi Lin

    (Master Program of Business Administration, National Taichung University of Education, Taichung, Taiwan)

  • Shao-Chun Chen

    (National Taichung University of Education, Taichung, Taiwan)

  • Shu-Hui Chuang

    (Department of Business Administration, Asia University, Taichung, Taiwan)

Abstract

The prevalent consumption channel with portable devices has led to an emerging pattern of online–to-offline (O2O) purchasing behavior. By applying the technology acceptance model (TAM) and the theory of planned behavior as the theoretical framework, this study investigated consumers' perceptions toward applying quick response codes (QR codes) for shopping. Of the research sample, a total of 338 valid returns were investigated using a structural analysis with the partial least squares method. The results indicate that perceived innovation leads to greater perception of usefulness and ease of use. From the view of the TAM, the ease of QR code use does not influence the attitude of users regarding employing QR codes for shopping. The results lend support to the practical implications of the emerging O2O consuming behavior using QR codes with portable devices. Further findings and discussion are elaborated in this paper.

Suggested Citation

  • Shinyi Lin & Shao-Chun Chen & Shu-Hui Chuang, 2017. "Perceived Innovation and Quick Response Codes in an Online-to-Offline E-Commerce Service Model," International Journal of E-Adoption (IJEA), IGI Global, vol. 9(2), pages 1-16, July.
    • Handle: RePEc:igg:jea000:v:9:y:2017:i:2:p:1-16
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEA.2017070101
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jea000:v:9:y:2017:i:2:p:1-16. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.