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Area of Science:

  • Gerontology
  • Human-Computer Interaction
  • Sociology of Technology

Background:

  • The COVID-19 pandemic significantly increased consumer technology adoption, with a notable rise among the elderly population.
  • Understanding the diverse acceptance patterns of consumer technology among older adults is crucial for a data-driven digital society.
  • Social networking sites (SNS) represent a key area of consumer technology for elderly engagement.

Purpose of the Study:

  • To investigate the acceptance of social networking sites among the post-pandemic elderly population in Chile.
  • To analyze how technological predisposition and generational cohorts influence consumer technology acceptance.
  • To identify key factors driving or hindering SNS adoption in older adults.

Main Methods:

  • A quantitative study involving 1555 older adults in Chile.
  • Utilized a consumer technology acceptance model framework.
  • Employed multigroup analysis via structural equation modeling to compare different generational and technological predisposition groups.

Main Results:

  • Significant differences were found in the explanatory variables for intention and use of SNS across the three analyzed groups.
  • Effort expectancy was not a statistically significant factor in explaining global acceptance of SNS among any of the elderly groups.
  • Generational cohorts and technological predisposition significantly moderate the acceptance of consumer technology.

Conclusions:

  • The study provides insights into why older adults adopt consumer technology post-pandemic.
  • A validated classification of elderly adults using consumer technology aids in understanding the heterogeneity of adoption phenomena.
  • Tailored strategies considering generational differences and technological predispositions are needed to enhance elderly technology adoption.