Pengaruh satisfying experience terhadap repurchase intention pada pengguna sosial media
P enelitian ini bertujuan untuk menguji dan menganalis peran Deploying Artificial Intellegence Technology, User Enggagement Social Media, Conversion, Satisfying Experience terhadap Repurchase Intention pada pengguna sosial media. Sample dan responden yang digunakan pada penelitian ini adalah 206 responden. Unit dalam penelitian ini adalah pengguna aktif aplikasi tiktok, instagram dan youtube. Teknik pengambilan sample yang digunakan adalah Purposive Sampling data dianalisis pengujian menggunakan metode Structural Equation Model (SEM). SPSS Software Partial Least Square. Teknik pengumpulan data pada penelitian ini adalah dengan mengumpulkan data primer, yaitu dari karakteristik responden secara langsung melalui Google Form yang disebar secara online dengan media sosial . Jenis data berdasarkan priode waktunya yang digunakan dalam penelitian ini adalah Cross SectionalHasil penelitian ini adalah : (1)Deploying Artificial Intellegence Technology berpengaruh positif terhadap User Enggagement Social Media dan hipotesis didukung. (2)Deploying Artificial Intellegence Technology berpengaruh positif terhadap Conversion dan hipotesis di didukung. (3)User Enggagement Social Media berpengaruh positif terhadap Conversion dan hipotesis didukung. (4) Conversion berpengaruh positif terhadap Satisfying Experience dan hipotesis didukung (5) Satisfying Experience berpengaruh positif terhadap Repurchase Intention dan hipotesis didukung.
T his research aims to test and analyze the role of Deploying artificial intelligence technology, Engagement of social media users, Conversion, Satisfying experiences on repurchase intentions among social media users. The sample and respondents used in this research were 206 respondents. The units in this research are active users of the TikTok, Instagram and YouTube applications. The sampling technique used was Purposive Sampling data which was analyzed using the Structural Equation Model (SEM) method. SPSS Partial Least Square software. The data collection technique in this research is to collect primary data, namely from the characteristics of respondents directly via Google Form which is distributed online via social media. The type of data based on the time period used in this research is Cross SectionalThe results of this research are: (1) The application of artificial intelligence technology has a positive effect on the involvement of social media users and the hypothesis is supported. (2) The application of artificial intelligence technology has a positive effect on conversion and the hypothesis is supported. (3) The involvement of social media users has a positive effect on conversion and the hypothesis is supported. (4) Conversion has a positive effect on satisfactory experience and the hypothesis is supported. (5) Satisfying experience has a positive effect on Repurchase Intention and hypothesis is supported.