What drives low-income older adults' intention to use mobility applications?

Geriatr Gerontol Int. 2024 Mar:24 Suppl 1:342-350. doi: 10.1111/ggi.14790. Epub 2024 Jan 2.

Abstract

Aim: Mobility applications have the potential to support low-income older adults in facing mobility challenges. However, there is a generally lower uptake of technology in this segment. To understand factors affecting the intention to use a mobility app, we drew upon the Protection Motivation Theory, and tested a model of low-income older adults' technology adoption.

Methods: A cross-sectional survey was conducted across seven states in Malaysia among community-dwelling low-income older adults aged ≥60 years old (n = 282). Measurement items were adapted from pre-validated scales and 7-point Likert Scales were used. Partial least squares structural equation modeling was utilized to assess the hypothesized model.

Results: Mobility technology awareness was found to shape an individual's threat and coping appraisals associated with their intention to use a mobility app. The decision of a low-income older adult to adopt a mobility app as a protective action is not a direct function of threat and coping appraisals but is indirect, and mediated by the underlying cost-benefit perceptions of non-adoption and adoption of the mobility app. In terms of technology perceptions, perceived usefulness is a significant predictor, but not perceived ease of use.

Conclusions: This study entails a new model by uncovering the psychological factors encompassing mobility technology awareness, threat-coping appraisals, and cost-benefit perceptions on Technology Acceptance Model studies. These insights have important implications for the development and implementation of a mobility app among low-income older adults. Geriatr Gerontol Int 2024; 24: 342-350.

Keywords: low‐income; mobility app; older adults; protection motivation theory; technology adoption.

MeSH terms

  • Aged
  • Coping Skills
  • Cross-Sectional Studies
  • Humans
  • Intention*
  • Mobile Applications*
  • Motivation