IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v29y2018i2p155-182.html
   My bibliography  Save this article

The effect of culture values on consumer intention to use Arabic e-commerce websites in Jordan: an empirical investigation

Author

Listed:
  • Kamsuriah Ahmad
  • Mohannad Moufeed Ayyash
  • Omar Mohammad Ali Al-Qudah

Abstract

A number of studies on the issues of technology acceptance model (TAM), Hofstede's cultural values, risk and trust, have been done. However, the studies in combining all these issue are still limited especially in defining the relationship between them. Hence, this study attempts to examine the relationship between the variable through a developed model that is expected to improve the intention of consumers to use Arabic e-commerce websites. This study employs the quantitative method for data collection with the help of a questionnaire. The tested variables are significantly influenced the consumer intention behaviour, where intention to use factor positively impacted the utilisation of Arabic e-commerce website. The findings showed support for the premise advocated by TAM and Hofstede's cultural dimensions theory as both were revealed to demonstrate the consumer's intention towards using Arabic websites. The study enumerates the theoretical and practical implications, limitations as well as recommendations for future direction of studies.

Suggested Citation

  • Kamsuriah Ahmad & Mohannad Moufeed Ayyash & Omar Mohammad Ali Al-Qudah, 2018. "The effect of culture values on consumer intention to use Arabic e-commerce websites in Jordan: an empirical investigation," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 29(2), pages 155-182.
  • Handle: RePEc:ids:ijbisy:v:29:y:2018:i:2:p:155-182
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=94691
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Alrawad, Mahmaod & Lutfi, Abdalwali & Alyatama, Sundus & Al Khattab, Adel & Alsoboa, Sliman S. & Almaiah, Mohammed Amin & Ramadan, Mujtaba Hashim & Arafa, Hussin Mostafa & Ahmed, Nazar Ali & Alsyouf, , 2023. "Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).

    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:ids:ijbisy:v:29:y:2018:i:2:p:155-182. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=172 .

    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.