IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-97-2211-2_4.html
   My bibliography  Save this book chapter

Decoding Intention to Use mHealth from an Adaptive Goal-Setting Perspective

In: Emerging Technologies in Business

Author

Listed:
  • Anshuman Kedia

    (Monash University Malaysia)

  • Ewilly J. Y. Liew

    (Monash University Malaysia)

  • Sharon G. M. Koh

    (Monash University Malaysia)

Abstract

Lockdown measures and prolonged physical inactivity during the COVID-19 pandemic have made people more health-conscious and led them to strive to stay physically fit. Mobile health (mHealth) has emerged as a convenient and cost-effective tool to deliver healthcare services and help people monitor their health. The present chapter draws on adaptive goal-setting theory to examine the perception of using mHealth by individuals in Malaysia, a developing country. More specifically, it investigates how setting and adjusting personal goals can affect behavioral change techniques to encourage the use of mHealth to become more health-conscious. The researchers also explore the potential barriers to the use of mHealth as an emerging technology. Data obtained from a sample of 183 adults in Malaysia were analyzed using partial least squares structural equation modeling (PLS-SEM). The empirical results show that positive tenacious goal pursuits (TGP) and positive flexible goal adjustments (FGA) provide mHealth users with correct behavioral change techniques (BCTs) that lead to greater intention (INT) to use mHealth and associated wearable devices and, consequently, achieve greater health consciousness (HC). The findings show that users’ technological anxiety (TA) negatively mediates the effect of BCTs on INT, whereas habit (HAB) has a direct positive effect on INT. This chapter provides practical insights and recommendations for setting and adjusting personal goals for using mHealth and associated wearable devices to promote better personal health consciousness.

Suggested Citation

  • Anshuman Kedia & Ewilly J. Y. Liew & Sharon G. M. Koh, 2024. "Decoding Intention to Use mHealth from an Adaptive Goal-Setting Perspective," Springer Books, in: Andrei O. J. Kwok & Pei-Lee Teh (ed.), Emerging Technologies in Business, pages 71-93, Springer.
    • Handle: RePEc:spr:sprchp:978-981-97-2211-2_4
    DOI: 10.1007/978-981-97-2211-2_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-981-97-2211-2_4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.