IDEAS home Printed from https://ideas.repec.org/a/igg/jrcm00/v10y2021i4p14-38.html
   My bibliography  Save this article

Developing and Testing a Smartphone Dependency Scale Assessing Addiction Risk

Author

Listed:
  • Donald Amoroso

    (Auburn University Montgomery, USA)

  • Ricardo Lim

    (Nagoya University of Commerce and Business, Japan)

  • Francisco L. Roman

    (Asian Institute of Management, Philippines)

Abstract

A 2019 Pew study of emerging economies revealed citizen concerns over smartphone use as risky behavior and their ill effects, such as addiction and overdependency, among many factors. In response, the authors developed a smartphone dependency scale (SDS) of factors that contribute to smartphone addiction, particularly for emerging economies like the Philippines. The instrument was developed from previously validated constructs. They propose that social influence, convenience, affective (anxiety), physiological (maladjustment), and cognitive (mindfulness) factors separately drive smartphone dependency. To test the SDS, the authors surveyed 901 Philippine participants. The scales showed excellent internal consistency and reliability and adequate concurrent and criterion-related validities. A confirmatory factor analysis showed that SDS factors had good data fit. This instrument is a first step in (1) exploring why individuals become dependent (addicted) on mobile devices and (2) stimulating further research concerning smartphone dependency for emerging market settings.

Suggested Citation

  • Donald Amoroso & Ricardo Lim & Francisco L. Roman, 2021. "Developing and Testing a Smartphone Dependency Scale Assessing Addiction Risk," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 10(4), pages 14-38, October.
    • Handle: RePEc:igg:jrcm00:v:10:y:2021:i:4:p:14-38
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJRCM.2021100102
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nattakit Yuduang & Ardvin Kester S. Ong & Yogi Tri Prasetyo & Thanatorn Chuenyindee & Poonyawat Kusonwattana & Waranya Limpasart & Thaninrat Sittiwatethanasiri & Ma. Janice J. Gumasing & Josephine D. , 2022. "Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach," IJERPH, MDPI, vol. 19(9), pages 1-19, May.
    2. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Nattakit Yuduang & Reny Nadlifatin & Satria Fadil Persada & Kirstien Paola E. Robas & Thanatorn Chuenyindee & Thapanat Buaphiban, 2022. "Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand," IJERPH, MDPI, vol. 19(13), pages 1-28, June.

    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:jrcm00:v:10:y:2021:i:4:p:14-38. 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.