FAKTOR YANG MEMPENGARUHI CONTINUANCE INTENTION PENGGUNAAN GENERATIVE ARTIFICIAL INTELLIGENCE PADA MAHASISWA DI KOTA PADANG DENGAN PENDEKATAN MODIFIKASI UNITED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) 2

FADHILAH IDRIS, DHILA (2024) FAKTOR YANG MEMPENGARUHI CONTINUANCE INTENTION PENGGUNAAN GENERATIVE ARTIFICIAL INTELLIGENCE PADA MAHASISWA DI KOTA PADANG DENGAN PENDEKATAN MODIFIKASI UNITED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) 2. S2 thesis, Universitas Andalas.

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Abstract

Faktor yang Mempengaruhi Continuance Intention Penggunaan GenerativeArtificial Intelligence pada Mahasiswa di Kota Padang dengan Pendekatan Modifikasi United Theory of Acceptance and Use of Technology (UTAUT) 2 Fadhilah Idris1*), Vera Pujani2), Yulia Hendri Yeni3) Magister Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Andalas1) Fakultas Ekonomi dan Bisnis, Universitas Andalas2,3) *E-mail: fdhlhdrs@gmail.com ABSTRAK Penelitian ini bertujuan untuk mengeksplorasi continuance intention penggunaan generative artificial intelligence dengan menggunakan pendekatan modifikasi United Theory of Acceptance and Use of Technology (UTAUT) 2. Penelitian menggunakan pendekatan kuantitatif dengan menggunakan 279 responden yang merupakan mahasiswa di Kota Padang yang menggunakan generative artificial intelligence. Data dikumpulkan dengan melakukan penyebaran kuesioner secara online dan offline yang berskala likert 1-5. Analisis data menggunakan bantuan aplikasi SmartPLS4. Hasilnya menunjukkan bahwa performance expectancy dan effort expectancy berpengaruh secara positif dan signifikan terhadap satisfaction. Performance expectancy, effort expectancy, dan hedonic motivationberpengaruh secara negatif dan tidak signifikan terhadap continuance intention. Social influence, habit, satisfaction berpengaruh secara positif dan signifikan terhadap continuance intention. Terakhir, facilitating conditions berpengaruh secara positif dan tidak signifikan terhadap continuance intention. Kata kunci: Performance expectancy, Effort expectancy, Social influence, Facilitating conditions, Hedonic motivation, Habit, Satisfaction, danContinuance intention iv Factors Affecting Continuance Intention of Using Generative Artificial Intelligence on University Students in Padang City with the Modified United Theory of Acceptance and Use of Technology (UTAUT) 2 Fadhilah Idris1*), Vera Pujani2), Yulia Hendri Yeni3) Master of Management, Faculty Economics and Business, Universitas Andalas1) Faculty Economics and Business, Universitas Andalas2,3) *E-mail: fdhlhdrs@gmail.com ABSTRACT This study aims to explore continuance intention of using generative artificial intelligence by using the modified United Theory of Acceptance and Use of Technology (UTAUT) 2 approach. The research uses a quantitative approach using 279 respondents who are university students in Padang City who use generative artificial intelligence. Data was collected by distributing questionnaires online and offline on a Likert scale of 1-5. Data analysis uses the help of the SmartPLS4 application. The results show that performance expectancy and effort expectancy have a positive and significant effect on satisfaction. Performance expectancy, effort expectancy, and hedonic motivation have a negative and insignificant effect on continuance intention. Social influence, habit, satisfaction have a positive and significant effect on continuance intention. Lastly, facilitating conditions have a positive and insignificant effect on continuance intention. Keywords:Performance expectancy, Effort expectancy, Social influence, Facilitating conditions, Hedonic motivation, Habit, Satisfaction, andContinuance intention

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