Analisis Faktor Yang Mempengaruhi Behavioral Intention Dan User Behavior Pada Fintech  Shopeepay Menggunakan Model Unified Theory of Acceptance and Use of Technology (Utaut)

Hafifah, Linda Lorenza; Utami, Nengah Widya; Putri, I Gst.Agung Prmaesti Dwi

doi:10.30813/jab.v15i2.3574

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…Moreover, studies have indicated that attitude is positively impacted by perceived ease of use (Armanditya & Rahmiati, 2020;Yuhelmi et al, 2019;Wallace & Sheetz, 2014;Bashir & Madhavaiah, 2015a). According to research findings by Hafifah et al (2022), Audina et al (2021), and Damayanti et al (2022), The perception of FinTech's ease of use affects behavioral intention. Based on the explanations presented, hypotheses can be concluded: H1: Adopting FinTech is seen as more beneficial when it is deemed to be simple to use.…”

Section: Effects Of Perceivedmentioning

confidence: 99%

“…This indicates that behavioral intention is positively impacted by perceived usefulness. Other research studies supporting this concept were conducted by Bashir & Madhavaiah (2015b); Monica & Japarianto (2022) and Hafifah et al (2022). Based on these concepts, the hypotheses can be summarized as follows: H7: The habit of using FinTech services will become more ingrained the more the services are perceived to be useful.…”

Section: Effects Of Perceivedmentioning

confidence: 99%

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Behavioral Intention to Use FinTech in Millennial Generation (Extension of TAM Model)

Yuhelmi,

Puttri,

Kamela

et al. 2024

JMUBH

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This research aims to analyze the Behavioral Intention of the Millennial Generation in using FinTech as a payment platform and the factors that influence it by extending the TAM model. The extension variables of the TAM model are Trust, Habit, and Perceived Risk. The population in this study consisted of 521 Millennial generation respondents using purposive sampling. The analytical method used is the Structural Education Model (SEM) using Smart PLS. The research results found that the TAM model is a strong model for behavioral intentions to use FinTech, where Behavioral Intention to use FinTech is influenced by Perceived Ease of Use, Perceived usefulness, and Attitude. The findings for the extension variable are that Habit has a positive effect on behavioral intention to use FinTech, while Perceived Risk and Trust have no effect on behavioral intention or attitude in using FinTech

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Section: Effects Of Perceivedmentioning

confidence: 99%

Section: Effects Of Perceivedmentioning

confidence: 99%

Behavioral Intention to Use FinTech in Millennial Generation (Extension of TAM Model)

Yuhelmi,

Puttri,

Kamela

et al. 2024

JMUBH

View full text Add to dashboard Cite

show abstract

“…Pada perancangan model struktural, peneliti menggambarkan hubungan antara variabel laten satu dengan variabel laten yang lainnya, dimana perancangan model struktural ini didasarkan pada hipotesis yang telah dijelaskan sebelumnya (Hafifah, Utami, & Dwi Putri , 2022).…”

Section: Metode Penelitianunclassified

Analisis Behavioral Intention dan Use Behavior Quick Response Code Indonesian Standard (QRIS) Pada UMKM Dengan Metode UTAUT 2 di Kota Denpasar

Febriani,

Utami,

Putri

2023

jitika

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2. Penelitian ini menggunakan sumber data primer dengan sampel berjumlah 100 responden, pengambilan sampel menggunakan probability sampling yaitu simple random sampling. Uji validitas dan uji reliabilitas instrumen dilakukan dengan software SmartPLS 3.0. Data dianalisis menggunakan metode Partial Least Squares Path Modeling (PLS-SEM) dengan software SmartPLS 3.0. Hasil pengujian yang dilakukan mengindikasikan bahwa hipotesis yang diterima yaitu variabel yang memiliki pengaruh terhadap behavioral intention yaitu effort expectancy, facilitating conditions, hedonic motivation, dan price value. Adapun hipotesis lain yang diterima ialah variabel yang berpengaruh terhadap use behavior yaitu habit dan behavioral intention. Terdapat hipotesis ditolak yaitu performance expectancy terhadap behavioral intention, social influence terhadap behavioral intention, facilitating conditions terhadap use behavior dan habit terhadap behavioral intention.

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“…Untuk menguji Inner model digunakan dengan menguji tiga parameter, yaitu koefisien determinasi (R 2 ), relevansi prediktif (Q 2 ) dan kesesuaian model (GoF) index dalam mengevaluasi hubungan antar variabel laten serta melakukan perhitungan pada path coefficient [17]. Jika nilai R 2 yang diperoleh di atas 0,67 termasuk ke dalam kategori kuat, nilai R 2 di atas 0,33 termasuk kategori sedang dan nilai R 2 di atas 0,19 termasuk kategori lemah [18] . Hasil perhitungan R 2 disusun dalam tabel 9 yang bisa dilihat di bawah ini.…”

Section: Pengujian Inner Modelunclassified

Penerapan Model UTAUT untuk Mengetahui Faktor-Faktor dalam Penerimaan dan Penggunaan Sistem Informasi Manajemen Pengawasan Daerah (SIMWASDA)

et al. 2023

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The Regional Supervision Management Information System (SIMWASDA) is a web-based system with the function of documenting the oversight process performed by the Government Internal Supervisory Apparatus (APIP), especially the Inspectorate at the district, city, province and other levels when supervising all activities in the Regional Unit. Regional Apparatus Work. This Information System was also developed with the aim that each monitoring process becomes systematic and integrated. In general, SIMWASDA has not been implemented properly because system users have not utilized it optimally. Due to this, a study was conducted using the Unified Theory of Acceptance and Use of Technology (UTAUT) at the South Sumatra Provincial Inspectorate to identify factors that might have an impact on the acceptance and use of SIMWASDA. This study uses all variables from UTAUT along with 3 moderator variables. The number of respondents involved was 80 people. The results obtained show that social influence has the highest significant effect on the behavioral intention of SIMWASDA users and is followed by performance expectancy, while effort expectancy has an effect but not significant on the behavioral intention of SIMWASDA users. In addition, facilitating conditions and behavioral intentions have a significant influence on the use behavior of SIMWASDA users. In the moderating variable, age is a moderate variable that can weaken the effect of facilitating conditions on use behavior, but no moderation strengthens or weakens the effect on performance expectancy, effort expectancy or social influence of behavioral intention. There is no difference between gender which has a moderating effect in strengthening and weakening the influence on performance expectancy, effort expectancy and social influence on behavioral intention. After that, Experience completely has no moderating effect to strengthen or weaken the influence from effort expectancy, social influence and facilitating conditions of behavioral intention and use behavior. This study succeeded in accepting five hypotheses and rejecting ten hypotheses.

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Analisis Faktor Yang Mempengaruhi Behavioral Intention Dan User Behavior Pada Fintech Shopeepay Menggunakan Model Unified Theory of Acceptance and Use of Technology (Utaut)

Cited by 4 publications

References 7 publications

Behavioral Intention to Use FinTech in Millennial Generation (Extension of TAM Model)

Behavioral Intention to Use FinTech in Millennial Generation (Extension of TAM Model)

Analisis Behavioral Intention dan Use Behavior Quick Response Code Indonesian Standard (QRIS) Pada UMKM Dengan Metode UTAUT 2 di Kota Denpasar

Penerapan Model UTAUT untuk Mengetahui Faktor-Faktor dalam Penerimaan dan Penggunaan Sistem Informasi Manajemen Pengawasan Daerah (SIMWASDA)

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