Pengaruh konfirmasi, persepsi kegunaan, dan persepsi kemudahan terhadap intensi penggunaan kembali mobile banking Bank Sinarmas

Main Article Content

Jo, Anula Putra
Sarwo Edy Handoyo

Abstract

The adoption rate of mobile banking services (m-banking) has not reached the expected level, especially in developing countries and customers are less interested in the service. The purpose of the study was to analyze the influence of confirmation and perception of usability on the satisfaction of using Bank Sinarmas mobile banking, the effect of the perception of usability on the intention to reuse Bank Sinarmas mobile banking, the effect of the perception of usability and convenience on the attitude of Bank Sinarmas mobile banking, and the effect of user satisfaction and attitude on the intention to reuse mobile banking Bank Sinarmas. This quantitative study includes the research population of Bank Sinarmas customers who have used mobile banking services. The analysis method uses Partial Least Squares–Structural Equation Modelling (PLS-SEM). From the results of the research and discussion, the conclusions that can be drawn are that confirmation has a positive effect on the satisfaction of using Bank Sinarmas mobile banking, perception of usability has a positive effect on satisfaction with the use of Bank Sinarmas mobile banking, perception of usability has a positive effect on the intention to reuse Bank Sinarmas mobile banking, perception of usability has a positive effect on attitudes towards Bank Sinarmas mobile banking, perception of ease of use has a positive effect on the attitude of Bank Sinarmas mobile banking, user satisfaction has a positive effect on the intention to reuse Bank Sinarmas mobile banking, and attitude has a positive effect on the intention to reuse Bank Sinarmas mobile banking.


Tingkat adopsi layanan mobile banking (m-banking) tidak mencapai tingkat yang diharapkan terutama di negara berkembang dan pelanggan kurang berminat terhadap layanan tersebut. Tujuan penelitian untuk menganalisis pengaruh konfirmasi dan persepsi kegunaan terhadap kepuasan penggunaan mobile banking Bank Sinarmas, pengaruh persepsi kegunaan terhadap intensi penggunaan kembali mobile banking Bank Sinarmas, pengaruh persepsi kegunaan dan kemudahan terhadap sikap pada mobile banking Bank Sinarmas, serta pengaruh kepuasan penggunaan dan sikap terhadap intensi penggunaan kembali mobile banking Bank Sinarmas. Penelitian ini kuantitatif dengan populasi penelitian nasabah Bank Sinarmas yang telah menggunakan layanan mobile banking. Metode analisis menggunakan Partial Least Squares–Structural Equation Modelling (PLS-SEM). Dari hasil penelitian dan pembahasan, maka kesimpulan yang dapat diambil adalah konfirmasi berpengaruh positif terhadap kepuasan penggunaan mobile banking Bank Sinarmas, persepsi kegunaan berpengaruh positif terhadap kepuasan penggunaan mobile banking Bank Sinarmas, persepsi kegunaan berpengaruh positif terhadap intensi penggunaan kembali mobile banking Bank Sinarmas, persepsi kegunaan berpengaruh positif terhadap sikap pada mobile banking Bank Sinarmas, persepsi kemudahan penggunaan berpengaruh positif terhadap sikap pada mobile banking Bank Sinarmas, kepuasan penggunaan berpengaruh positif terhadap intensi penggunaan kembali mobile banking Bank Sinarmas, dan sikap berpengaruh positif terhadap intensi penggunaan kembali mobile banking Bank Sinarmas.

Article Details

How to Cite
Putra, J. A., & Handoyo, S. E. (2024). Pengaruh konfirmasi, persepsi kegunaan, dan persepsi kemudahan terhadap intensi penggunaan kembali mobile banking Bank Sinarmas. Jurnal Manajemen Bisnis Dan Kewirausahaan, 8(6), 1317–1331. https://doi.org/10.24912/jmbk.v8i6.33626
Section
Articles
Author Biographies

Jo, Anula Putra, Universitas Tarumanagara

Program Studi Magister Manajemen, Program Pascasarjana

Sarwo Edy Handoyo, Universitas Tarumanagara

Program Studi Doktor Ilmu Manajemen, Program Pascasarjana

References

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/10.1108/JEIM-04-2015-0035

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Simintiras, A. C. (2016). Jordanian consumers’ adoption of telebanking: Influence of perceived usefulness, trust and self-efficacy. International Journal of Bank Marketing, 34(5), 690–709. https://doi.org/10.1108/IJBM-06-2015-0093

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly: Management Information Systems, 25(3), 351–370. https://doi.org/10.2307/3250921

C.C., S., & Prathap, S. K. (2020). Continuance adoption of mobile-based payments in Covid-19 context: an integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications, 16(4), 351–369. https://doi.org/10.1108/IJPCC-06-2020-0069

Casula, M., Rangarajan, N., & Shields, P. (2021). The potential of working hypotheses for deductive exploratory research. Quality and Quantity, 55(5), 1703–1725. https://doi.org/10.1007/s11135-020-01072-9

Chen, C. C., Hsiao, K. L., & Wu, S. J. (2018). Purchase intention in social commerce: An empirical examination of perceived value and social awareness. Library Hi Tech, 36(4), 583–604. https://doi.org/10.1108/LHT-01-2018-0007

Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates Publishers.

Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the Covid-19 pandemic: Integrating the health belief model (HBM) and technology continuous theory (TCT). Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 132. https://doi.org/10.3390/joitmc7020132

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015–1033. https://doi.org/10.1108/JEIM-10-2018-0237

Fu, X. mei, Zhang, J. hua, & Chan, F. T. S. (2018). Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory. Transportation Research Part A: Policy and Practice, 113, 476–490. https://doi.org/10.1016/j.tra.2018.05.012

Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25. Badan Penerbit Universitas Diponegoro.

Hair, Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.

Hamari, J., & Koivisto, J. (2015). “Working out for likes”: An empirical study on social influence in exercise gamification. Computers in Human Behavior, 50, 333–347. https://doi.org/10.1016/j.chb.2015.04.018

Hsu, C. L., & Lin, J. C. C. (2020). Examining social networking O2O apps user loyalty. Journal of Computer Information Systems, 60(5), 459–467. https://doi.org/10.1080/08874417.2018.1535261

Iman, N. (2018). Is mobile payment still relevant in the fintech era? Electronic Commerce Research and Applications, 30, 72–82. https://doi.org/10.1016/j.elerap.2018.05.009

Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111–122. https://doi.org/10.1016/j.chb.2017.10.035

Joia, L. A., & Altieri, D. (2018). Antecedents of continued use intention of e-hailing apps from the passengers’ perspective. Journal of High Technology Management Research, 29(2), 204–215. https://doi.org/10.1016/j.hitech.2018.09.006

Jumaan, I. A., Hashim, N. H., & Al-Ghazali, B. M. (2020). The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model. Technology in Society, 63, 101355. https://doi.org/10.1016/j.techsoc.2020.101355

Kumar, A. (2020). Effect of service quality on customer loyalty and the mediating role of customer satisfaction: An empirical investigation for the telecom service industry. Journal of Management Research and Analysis, 5(1), 34–41. https://doi.org/10.18231/2394-2770.2018.0007

Liébana-Cabanillas, F. J., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Role of gender on acceptance of mobile payment. Industrial Management and Data Systems, 114(2), 220–240. https://doi.org/10.1108/IMDS-03-2013-0137

Lim, S. H., Kim, D. J., Hur, Y., & Park, K. (2019). An empirical study of the impacts of perceived security and knowledge on continuous intention to use mobile fintech payment services. International Journal of Human-Computer Interaction, 35(10), 886–898. https://doi.org/10.1080/10447318.2018.1507132

Milly, N., Xun, S., Meena, M. E., & Cobbinah, B. B. (2021). Measuring mobile banking adoption in Uganda using the technology acceptance model (TAM2) and perceived risk. Open Journal of Business and Management, 9(1), 397–418. https://doi.org/10.4236/ojbm.2021.91021

Muñoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing - ESIC, 21(1), 25–38. https://doi.org/10.1016/j.sjme.2016.12.001

Nelwan, J. Z. C., Yasa, N. N. K., Sukaatmadja, I. P. G., & Ekawati, N. W. (2021). Antecedent behaviour and its implication on the intention to reuse the internet banking and mobile services. International Journal of Data and Network Science, 5(3), 451–464. https://doi.org/10.5267/j.ijdns.2021.4.003

Payne, E. M., Peltier, J. W., & Barger, V. A. (2018). Mobile banking and AI-enabled mobile banking: The differential effects of technological and non-technological factors on digital natives’ perceptions and behavior. Journal of Research in Interactive Marketing, 12(3), 328–346. https://doi.org/10.1108/JRIM-07-2018-0087

Peng, C., OuYang, Z., & Liu, Y. (2019). Understanding bike sharing use over time by employing extended technology continuance theory. Transportation Research Part A: Policy and Practice, 124, 433–443. https://doi.org/10.1016/j.tra.2019.04.013

Purnamaningsih, Erhan, T. P., & Rizkalla, N. (2018). Faktor-faktor yang mempengaruhi penggunaan application-based short distance delivery service: Telaah pada onlineshop di area Jabodetabek. ULTIMA Management, 10(2), 110–119. https://doi.org/10.31937/manajemen.v10i2.980

Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. https://doi.org/10.1016/j.elerap.2009.07.005

Seno, H. G. A., & Purnamaningsih. (2021). Analisis faktor-faktor yang mempengaruhi behavioral intention aplikasi delivery service food & beverage. Ultima Management : Jurnal Ilmu Manajemen, 13(1), 164–182. https://doi.org/10.31937/manajemen.v13i1.2069

Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142. https://doi.org/10.1016/j.tele.2014.05.003

Shang, D., & Wu, W. (2017). Understanding mobile shopping consumers’ continuance intention. Industrial Management and Data Systems, 117(1), 213–227. https://doi.org/10.1108/IMDS-02-2016-0052

Szymanski, D. M., & Henard, D. H. (2004). Customer satisfaction: A meta-analysis of the empirical evidence. Journal of the Academy of Marketing Science, 29(1), 16–35. https://doi.org/10.1177/0092070301291002

Tarute, A., Nikou, S., & Gatautis, R. (2017). Mobile application driven consumer engagement. Telematics and Informatics, 34(4), 145–156. https://doi.org/10.1016/j.tele.2017.01.006

Veeramootoo, N., Nunkoo, R., & Dwivedi, Y. K. (2018). What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage. Government Information Quarterly, 35(2), 161–174. https://doi.org/10.1016/j.giq.2018.03.004

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Weng, G. S., Zailani, S., Iranmanesh, M., & Hyun, S. S. (2017). Mobile taxi booking application service’s continuance usage intention by users. Transportation Research Part D: Transport and Environment, 57, 207–216. https://doi.org/10.1016/j.trd.2017.07.023

Wessels, L., & Drennan, J. (2010). An investigation of consumer acceptance of M-banking. International Journal of Bank Marketing, 28(7), 547–568. https://doi.org/10.1108/02652321011085194

Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221–232. https://doi.org/10.1016/j.chb.2016.10.028

Yuan, S., Liu, Y., Yao, R., & Liu, J. (2016). An investigation of users’ continuance intention towards mobile banking in China. Information Development, 32(1), 20–34. https://doi.org/10.1177/0266666914522140

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.