IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v50y2020icp128-143.html
   My bibliography  Save this article

Factors influencing the adoption of mHealth services in a developing country: A patient-centric study

Author

Listed:
  • Alam, Mohammad Zahedul
  • Hoque, Md. Rakibul
  • Hu, Wang
  • Barua, Zapan

Abstract

mHealth under the umbrella of eHealth has become an essential tool for providing quality, accessible and equal health care services at an affordable cost. Despite the potential benefits of mHealth, its adoption remains a big challenge in developing countries such as Bangladesh. This study aims to examine the factors affecting the adoption of mHealth services in Bangladesh by using the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with perceived reliability and price value factors. It also examines the moderating effect of gender on the intention to use and on the actual usage behavior of users of mHealth services. A well-structured face-to-face survey was employed to collect the data. Structural equation modeling (SEM) with a partial least squares method was used to analyze the data collected from 296 generation Y participants. The results confirmed that performance expectancy, social influence, facilitating conditions and perceived reliability positively influence the behavioral intention to adopt mHealth services. However, effort expectancy and price value did not have a significance influence on the behavioral intention. Moreover, Gender has a significant moderating effect on mHealth services adoption in certain cases. Finally, the theoretical and practical implications of this study are also discussed.

Suggested Citation

  • Alam, Mohammad Zahedul & Hoque, Md. Rakibul & Hu, Wang & Barua, Zapan, 2020. "Factors influencing the adoption of mHealth services in a developing country: A patient-centric study," International Journal of Information Management, Elsevier, vol. 50(C), pages 128-143.
  • Handle: RePEc:eee:ininma:v:50:y:2020:i:c:p:128-143
    DOI: 10.1016/j.ijinfomgt.2019.04.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401218310223
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijinfomgt.2019.04.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Hayat, Naeem & Salameh, Anas A. & Malik, Haider Ali & Yaacob, Mohd Rafi, 2022. "Exploring the adoption of wearable healthcare devices among the Pakistani adults with dual analysis techniques," Technology in Society, Elsevier, vol. 70(C).
    2. Md. Alamgir Hossain & Ruhul Amin & Abdullah Al Masud & Md. Imran Hossain & Mohammad Awal Hossen & Mohammad Kamal Hossain, 2023. "What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Xiong, Jie & Zuo, Meiyun, 2022. "Understanding factors influencing the adoption of a mobile platform of medical and senior care in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    4. Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).
    5. Santos-Vijande, María Leticia & Gómez-Rico, Mar & Molina-Collado, Arturo & Davison, Robert M., 2022. "Building user engagement to mhealth apps from a learning perspective: Relationships among functional, emotional and social drivers of user value," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    6. Zhiyuan Yu & Doudou Jin, 2021. "Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    7. Khairul Nazlin Kamaruzaman & Zuhal Hussein & Amily Fikry, 2023. "Factors Affecting Behavioural Intention to Use Mobile Health Applications among Obese People in Malaysia," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 9(1), pages 92-117.

    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:eee:ininma:v:50:y:2020:i:c:p:128-143. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    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.