IDEAS home Printed from https://ideas.repec.org/a/igg/jeco00/v13y2015i4p74-90.html
   My bibliography  Save this article

Utilising Modified UTAUT to Understand Students' Online Shopping Behaviour: A Case of E-Retail Co-Operative Website in Malaysia

Author

Listed:
  • Shahizan Hassan

    (Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia, Sintok, Malaysia)

  • Rashdan Rashid

    (Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia, Sintok, Malaysia)

  • Feng Li

    (Cass Business School, City University London, London, UK)

Abstract

This study determines the impact of UTAUT on online shopping behavior among polytechnic students. It also studies the significance of self-efficacy and anxiety on the students' behavioral intention of using e-retail website. It provides an empirical test of three forms of self-efficacy and anxiety towards behavioral intention to shop online. The research subjects were 91,830 polytechnic students from 33 polytechnics in Malaysia. The sampling procedure employed is a multi-stage cluster probability sampling. The questionnaires were distributed to 500 students at five polytechnics. Seven hypotheses were tested during data analysis. Performance expectancy, effort expectancy, social influence, self-efficacy, internet self-efficacy, computer self-efficacy and online shopping self-efficacy were found to have strong significant relationship with behavioral intention. While facilitating condition shows a significant relationship towards user acceptance, internet anxiety and online shopping anxiety have a weak significant relationship towards behavioral intention.

Suggested Citation

  • Shahizan Hassan & Rashdan Rashid & Feng Li, 2015. "Utilising Modified UTAUT to Understand Students' Online Shopping Behaviour: A Case of E-Retail Co-Operative Website in Malaysia," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 13(4), pages 74-90, October.
  • Handle: RePEc:igg:jeco00:v:13:y:2015:i:4:p:74-90
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/JECO.2015100104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Urvashi Tandon, 2021. "Predictors of online shopping in India: an empirical investigation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(1), pages 65-79, March.

    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:jeco00:v:13:y:2015:i:4:p:74-90. 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.