Dampak consumer’s security, benefits, dan usefulness terhadap continuance intention pada pengguna cashless
P enelitian ini bertujuan untuk mengetahui apakah variabel independen perceived security, perceived benefits dan perceived usefulness berpengaruh terhadap variabel dependen continuance intention. Pada penelitian ini dilakukan pengujian instrument untuk melihat kebenaran suatu data. Dalam uji instrumen ini dilakukan dua macam pengujian yaitu uji validitas dan uji reliabilitas. Unit pengujian yang diterapkan yakni individual serta kuesioner menjadi metode mengumpulkan data. Responden kuesioner tersebut ialah pengguna cashless yang melakukan transaksi lebih dari 50% sebanyak 153 responden. Data tersebut menerapkan data cross sectional yang mana peneliti mengamati kejadian di satu periode ataupun titik tertentu. Penelitian ini dilakukan dengan menggunakan metode Structural Equation Modeling (SEM) yang berbasis Partial Least Squares (PLS). Partial Least Squares (PLS) adalah pendekatan berbasis varians dalam SEM. Perangkat lunak SmartPLS versi 4 digunakan sebagai alat bantu pengolahan data dalam penelitian ini. Kesimpulan yang dapat diambil dalam penelitian ini yaitu Perceived security, Perceived benefits dan Perceived Usefulness memiliki pengaruh positif dan signifikan terhadap Continuance intention.
T his research aims to find out whether the independent variables perceived security, perceived benefits and perceived usefulness have an effect on the dependent variable continuance intention. In this research, instrument testing was carried out to see the truth of the data. In testing this instrument, two types of testing are carried out, namely validity testing and reliability testing. The testing unit applied is the individual and the questionnaire is the method for collecting data. Respondents to the questionnaire were cashless users who made transactions of more than 50%, totaling 153 respondents. This data applies cross sectional data where researchers observe events in one particular period or point. This research was carried out using the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS). Partial Least Squares (PLS) is a variance-based approach in SEM. SmartPLS version 4 software was used as a data processing tool in this research. The conclusions that can be drawn in this research are that Perceived security, Perceived benefits and Perceived Usefulness have a positive and significant influence on Continuance intention.