Exploring the Influence of Habits and Facilitating Conditions on Qris Usage Intention Among Generation Z in Denpasar

Authors

  • Ni Wayan Nathasya Mardika Meranggi Universitas Pendidikan Nasional
  • Ida Nyoman Basmantra Universitas Pendidikan Nasional

DOI:

https://doi.org/10.55606/ijemr.v5i1.698

Keywords:

Attitudes, Behavioral Intentions, Effort Expectancy, Facilitating Conditions, Habits

Abstract

Abstract: This study explores the interrelationships among attitude, trust, and behavioral intention, particularly within the context of technology adoption and digital payments. Attitude, defined as an individual's evaluation of objects or behaviors, plays a crucial role in shaping behavioral intentions. Recent literature highlights that positive attitudes toward technology significantly enhance the likelihood of adoption. Trust, another vital component, influences user engagement and decision-making processes in digital environments. It is posited that trust in technology providers enhances user willingness to adopt new platforms, thereby impacting their behavioral intentions. This paper synthesizes findings from various studies conducted between 2020 and 2025, emphasizing the importance of understanding these constructs in fostering effective technology adoption strategies. Ultimately, the integration of attitude, trust, and behavioral intention provides valuable insights for researchers and practitioners aiming to improve user engagement and satisfaction in digital transactions.

References

Adi, I. N. R., & Saputri, L. G. E. A. (2024). Examining the determinants of customer satisfaction in medicine and health device distributors. Journal of Social Work and Science Education, 5(1), 360–368. https://doi.org/10.52690/jswse.v4i2.416

Adi, I. N. R., Ariesandi, N. M. A. D., Mulyadi, M., & Saputri, L. G. E. A. (2023). Mediation of motivation on communication, equity, and organizational commitment to employee performance. Jurnal Mantik, 7(2). https://doi.org/10.35335/mantik.v7i2.4001

Chin, W. W. (1995). Partial least squares is to LISREL as principal components analysis is to common factor analysis. Tech-nology Studies, 2, 315–319.

Ghozali, I., & Latan, H. (2015). Concepts, techniques, and applications of SmartPLS 3.0 for empirical research. Badan Penerbit Universitas Diponegoro.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2020). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications. https://doi.org/10.1007/978-3-030-80519-7

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0386-4

Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Jun-Hwa, C., Thurasamy, R., Memon, M. A., Chuah, F., & Ting, H. (2020). Multigroup analysis using SmartPLS: Step-by-step guidelines for business research. Asian Journal of Business Research, 10(3), 1–29. https://doi.org/10.14707/ajbr.200087

Nisa, Y., Anggraini, R., & Hasanah, U. (2021). The use of SEM-PLS for social research data analysis. Scientific Journal of Mathematics and Statistics, 9(2), 148–156.

Nugroho, B. A. (2005). Effective strategies for choosing research statistical methods with SPSS. Andi Publisher.

Ruxton, G. D., & Neuhauser, M. (2010). When should we use one-tailed hypothesis testing? Methods in Ecology and Evolution, 1(2), 114–117. https://doi.org/10.1111/j.2041-210X.2010.00014.x

Solimun. (2011). Analysis of moderating and mediating variables. Program Studi Statistika, Universitas Brawijaya.

Stay Away, J. J. (2024). The influence of competence and compensation on employee job satisfaction at PT Bank Sulutgo Calaca Branch Office in Manado. Jurnal EMBA, 12(3), 379–388.

Downloads

Published

2026-01-14

How to Cite

Ni Wayan Nathasya Mardika Meranggi, & Ida Nyoman Basmantra. (2026). Exploring the Influence of Habits and Facilitating Conditions on Qris Usage Intention Among Generation Z in Denpasar. International Journal of Economics and Management Research, 5(1), 521–541. https://doi.org/10.55606/ijemr.v5i1.698