IDEAS home Printed from https://ideas.repec.org/a/ids/ijnvor/v16y2016i2p143-156.html
   My bibliography  Save this article

Mobile healthcare services adoption

Author

Listed:
  • Genet Shanko
  • Solomon Negash
  • Tridib Bandyopadhyay

Abstract

Recent penetration of mobile technologies opens exciting potential for e-healthcare in low-income countries - e-healthcare services can now reach the populations of rural and far away locations in a cost effective and timely manner. The final challenge however rests on successful user acceptance of the technologies of e-healthcare, which we investigate in this work. Our research enhance the basic TAM model with two additional context appropriate constructs from extant research to arrive at an extended TAM model that is suitable for understanding e-healthcare adoption in low-income countries. We operationalise the model with the help of a validated survey questionnaire in the health extensions workers of Ethiopia, a Sub-Saharan low-income country. Our result shows that compatibility positively affects adoption intention. These results demonstrate that inclusion of additional constructs of compatibility and network quality enhances the richness of the model and explain adoption intention in a more effective manner.

Suggested Citation

  • Genet Shanko & Solomon Negash & Tridib Bandyopadhyay, 2016. "Mobile healthcare services adoption," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 16(2), pages 143-156.
    • Handle: RePEc:ids:ijnvor:v:16:y:2016:i:2:p:143-156
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=76485
    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. Pranay VERMA & Neena SINHA, 2016. "Technology Acceptance Model Revisited For Mobile Based Agricultural Extension Services In India," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 8(4), pages 29-38, December.
    2. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.

    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:ijnvor:v:16:y:2016:i:2:p:143-156. 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=22 .

    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.