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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Generation YZ's E-Healthcare Use Factors Distribution in COVID-19's Third Year: A UTAUT Modeling

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2023, v.21 no.7, pp.117-129
https://doi.org/10.15722/jds.21.07.202307.117
CHRISTIAN Michael (Universitas Bunda Mulia)
GULARSO Kurnadi (Universitas Bunda Mulia)
UTOMO Prio (Universitas Bunda Mulia)
YULITA Henilia (Universitas Bunda Mulia)
WIBOWO Suryo (Indonesia International Institute for Life Sciences)
SUNARNO Sunarno (Universitas Tama Jagakarsa)
MELATI Rima (President University)

Abstract

Purpose: With the number of COVID-19 cases declining and generational differences among how people use mobile apps, including health service apps, the goal of this research is to identify and analyze the factors that affect people’s attitudes when using the Halodoc health service app during the third year of the pandemic. Research design, data, and methodology: This study proposes a quantitative analysis method based on PLS-SEM modeling. This study has used a questionnaire survey to collect randomized data from 268 Halodoc users from generations Y and Z in Jakarta. Results: Both the Y and Z generations believe there is a significant usefulness factor in the attitude toward using the application. The start of the pandemic period demonstrates that the urgency of using health service applications is no longer determined by performance expectations, effort, or social panic, but rather by these applications’ usability. Conclusions: Even though a health service application is no longer considered an urgent service or a priority need, attitudes, and behaviors in using it emphasize the aspect of long-term benefits. These findings supplement other considerations and understandings in application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in explaining attitudes and intention behaviors.

keywords
Attitude, Usage Behavior, Health Service Applications, UTAUT Model, Factors Distribution

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