IDEAS home Printed from https://ideas.repec.org/a/igg/jcbpl0/v6y2016i1p60-72.html
   My bibliography  Save this article

A Survey Study of Smartphones Behavior in Brunei: A Proposal of Modelling Big Data Strategies

Author

Listed:
  • Muhammad Anshari

    (Universiti Brunei Darussalam, Gadong, Brunei Darussalam)

  • Yabit Alas

    (Universiti Brunei Darussalam, Gadong, Brunei Darussalam)

  • Norakmarul Ihsan Sabtu

    (Universiti Brunei Darussalam, Gadong, Brunei Darussalam)

  • Norazmah Yunus

    (Universiti Brunei Darussalam, Gadong, Brunei Darussalam)

Abstract

The use of smartphones is generating large amounts of data. The term “big data” has become popular in describing a massive data, both structured and unstructured. Big data refers to high volume, high velocity, and high variety. This study used an inductive approach involving the distribution of a questionnaire to gain an understanding of smartphone users' habits in Brunei. Then, the authors identified several concerns that became the focal point of further analysis in the use of smartphones in daily activities. The findings is correlated to the growing of trends of big data application for users' benefit. The finding suggests that there is growing demand from smartphone users could create better services and value through big data application. The authors propose a big data approach that will enable service providers to enhance smartphone users' experiences. Big data application will enable smartphones to become smarter in terms of service and value.

Suggested Citation

  • Muhammad Anshari & Yabit Alas & Norakmarul Ihsan Sabtu & Norazmah Yunus, 2016. "A Survey Study of Smartphones Behavior in Brunei: A Proposal of Modelling Big Data Strategies," International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), IGI Global, vol. 6(1), pages 60-72, January.
    • Handle: RePEc:igg:jcbpl0:v:6:y:2016:i:1:p:60-72
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCBPL.2016010104
    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:jcbpl0:v:6:y:2016:i:1:p:60-72. 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.