The acceptance of SIIRMAAYU maternal neonatal applications Indramayu: Unified theory of acceptance and use of technology (UTAUT2).

Autor: Purwanto, Hadi, Setiawan, Adi
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Zdroj: AIP Conference Proceedings; 2024, Vol. 3116 Issue 1, p1-7, 7p
Abstrakt: A web-based referral tool called SIIRMAAYU is available to moms (mothers) and newborns (neonatal) in the Indramayu District. In order to manage health referrals throughout the 2020–2022 COVID-19 pandemic, this application has been used for more than 10 years, from 2013 to the present. This study tries to investigate the elements that affect both intention and conduct. Unified Theory of Acceptance and Use of Technology (UTAUT2)'s Maternal Neonatal Applications Indramayu (SIIRMAAYU) acceptanceModifications have been made to the Unified Theory of Acceptance and Use of Technology (UTAUT2) model for this study. We collected primary data by utilizing WhatsApp to distribute a Google Forms-based survey to a large audience. Users who had used the app for at least a year and lived in Indramayu were considered research participants. They also had to have referred patients who were pregnant or nursing. 418 persons were collected from the sample using the nonprobability purposive sampling technique. The investigation makes use of AMOS software and structural equation modeling (SEM). According to the findings, the UTAUT2 model may be applied to analyze the Behavioral Intention of application usage and can explain how Use Behavior affects that usage. This research concluded that Habits (H) are significantly influenced by the elements of facilitating conditions (FC) and effort expectancies (EE). In the meantime, usage behavioral intentions (BI) are significantly influenced by performance expectations (PE) and habits (H). While having little effect on usage intention is hedonic motivation (HE), pricing values (PV), and social influence (SI). This study demonstrates that in order to assess the adoption of the SIIRMAAYU application, the UTAUT2 model needs to be updated. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index