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All Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
Mukhamadiyev, Abdinabi
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Computer Science & IT Decision Sciences, Operations Research & Management

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Technology Acceptance Analysis Using UTAUT: A Study of QRIS Acceptance during the Pandemic Prasetya, Denny; Aritonang, Eva Reh Ulina; Manggalaningwang, Jody; Maharani, Nadya Ayu; Ivander, Yohanes; Mukhamadiyev, Abdinabi; Rahardjo, Alexandra Rianti Grandi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 8 No 2 (2024): August 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v8i2.21982

Abstract

Background: The COVID-19 pandemic situation has compelled society to practice physical distancing. One of the government's efforts is to encourage the use of the QRIS payment method to minimize direct physical contact during transactions. Objective: The purpose of this research is to analyze the primary driving factors in the adoption of QRIS technology. The research urgency is to determine the most contributing predictor from the variables within the UTAUT model among the people of Jabodetabek. Methods: This research used the quantitative method by conducting an online survey among 384 respondents distributed across the Jabodetabek region. The sampling technique utilized was non-purposive sampling with criteria including domicile, age, reasons, frequency, and experience of QRIS usage. Conclusion: The results of the factor analysis test indicate that the performance expectancy and effort expectancy variables are combined into one variable, while the social influence variable is divided into two independent variables. The research findings reveal that the perceived risk variable is the predictor with the most significant contribution in the context of the pandemic situation. Future researchers are expected to be able to develop the research model in other contexts with different goals.
Co-Authors Aritonang, Eva Reh Ulina Ivander, Yohanes Maharani, Nadya Ayu Manggalaningwang, Jody Prasetya, Denny Rahardjo, Alexandra Rianti Grandi