Analysis of technology adoption model on health monitoring via smartwatches and fitness bands across generations in Indonesia

Derryl Reyhan Zaradi, Amalia Suzianti, Xavier Usman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With Indonesia's increasingly aging population, emerges a social burden that is the growing need for elderly healthcare-a burden that can be eased with the utilization of smartwatches and fitness bands. To facilitate and encourage said utilization among various age groups, this research investigates dominant factors in the continued intention to use smartwatches and fitness bands, along with its acceptance models, for people in different generation categories: Baby Boomers, Generation X, and Generation Y, developed using structural equation modeling. This model was validated with 327 survey samples collected from a population of people aged 17 to 74 years old. The results show that six hypotheses, based on SWAM, were accepted on all generations: that PSR negatively affects customer PEOU, PR negatively affects customer PEOU, health negatively affects customer PU, PSR negatively affects customer PU, PSR negatively affects customer IU, and PR negatively affects customer IU.

Original languageEnglish
Title of host publicationProceedings of the 2019 5th International Conference on Communication and Information Processing, ICCIP 2019
PublisherAssociation for Computing Machinery
Pages60-65
Number of pages6
ISBN (Electronic)9781450372589
DOIs
Publication statusPublished - 15 Nov 2019
Event5th International Conference on Communication and Information Processing, ICCIP 2019 - Chongqing, China
Duration: 15 Nov 201917 Nov 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Communication and Information Processing, ICCIP 2019
CountryChina
CityChongqing
Period15/11/1917/11/19

Keywords

  • Fitness band
  • Generation baby boomers
  • Generation X
  • Generation Y
  • Health monitoring
  • Importance Satisfaction Analysis (ISA)
  • Smart Wearable Acceptance Model (SWAM)
  • Smartwatch
  • Structural Equation Modeling (SEM)
  • Technology Acceptance Model (TAM)

Fingerprint Dive into the research topics of 'Analysis of technology adoption model on health monitoring via smartwatches and fitness bands across generations in Indonesia'. Together they form a unique fingerprint.

  • Cite this

    Zaradi, D. R., Suzianti, A., & Usman, X. (2019). Analysis of technology adoption model on health monitoring via smartwatches and fitness bands across generations in Indonesia. In Proceedings of the 2019 5th International Conference on Communication and Information Processing, ICCIP 2019 (pp. 60-65). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3369985.3370009