IDEAS home Printed from https://ideas.repec.org/a/igg/jhisi0/v14y2019i4p73-90.html
   My bibliography  Save this article

Influential Factors in Breast Cancer Patients' Performance Using Malaysian Social Network Support Groups

Author

Listed:
  • Marva Mirabolghasemi

    (Universiti Teknologi Malaysia, Skudai, Malaysia)

  • Noorminshah A. Iahad

    (Department of Information Systems, Universiti Teknologi Malaysia, Skudai, Malaysia)

  • T. Ramayah

    (School of Management, Universiti Sains Malaysia, Penang, Malaysia & UTM International Business School (UTM-IBS), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia)

Abstract

Social network communities can serve as a health resource for cancer patients to share and disseminate information. Even so, theory-based research into evaluating cancer patients' performance empirically using social network sites (SNSs) is limited, representing an identifiable knowledge gap. This study proposes a research model that integrates social cognitive theory and task technology fit theory to contribute to the understanding of key factors impacting the performance of breast cancer patients using SNSs. Data were collected via a structured paper-based questionnaire. A total of one hundred seventy-eight (178) participants from six cancer support groups and hospitals in Peninsular Malaysia responded to the administered survey. Survey data were analyzed using the partial least squares (PLS) method while Smart PLS was used to test the hypotheses and to validate the proposed model. Results indicate that outcome expectation, self-efficacy, negative affect, positive affect, social support and task technology fit are significant factors affecting the performance of breast cancer patients vis-à-vis Malaysian social network support groups.

Suggested Citation

  • Marva Mirabolghasemi & Noorminshah A. Iahad & T. Ramayah, 2019. "Influential Factors in Breast Cancer Patients' Performance Using Malaysian Social Network Support Groups," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 14(4), pages 73-90, October.
    • Handle: RePEc:igg:jhisi0:v:14:y:2019:i:4:p:73-90
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHISI.2019100105
    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:jhisi0:v:14:y:2019:i:4:p:73-90. 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.