Dominant Factors Behavioral Intention of The Generation Millennials in Using E-Wallets
Abstract
Technological advancements fueled by the internet revolution have transformed the financial services industry's image, resulting in modifications to electronic financial services. These service changes can be seen in almost all forms of financial services, such as banking, insurance, and stock trading, which are carried out using electronic media, such as E-wallets services. This study's primary goal is to discover how the Millennial generation uses digital wallet applications in terms of perceived ease of use, perceived usefulness, trust, social influence. This study utilized a quantitative method using exploratory surveys and online questionnaires, as well as a literature and field research design. This study employs the Smart PLS program with the PLS-SEM approach for data analysis. Data was collected using non-probability sampling using a purposive sampling approach, yielding a sample size of 146 respondents for this research. This research provides information about the behavior of using digital wallet applications, which are significantly controlled by perceived ease of use, trust, and social influence. Furthermore, the Perceived Usefulness factor does not significantly impact the behavior of using digital wallet applications. These findings highlight the importance of trust as a motivator for customers when utilizing an E-Wallet application. It is preferable to expand the number of study samples in order to appropriately generalize findings, as well as to include research factors that are believed to influence behavioral intention to use. This research will look at the effects of perceived ease of use, perceived utility, trust, and social influence on Generation Millennial behavior when it comes to using digital wallets.
Keywords
References
Halim, F., Butarbutar, M., Malau, A. R., Program, M. S., Tinggi, S., Ekomomi, I.,Agung, S., & Program, M. S. (2020). Constituents Driving Interest in UsingE-Wallets in Generation Z. 1(1), 101–116.
Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50(February 2019), 28–44.
Welly, Kardinal, & Juwita. (2012). Analisis pengaruh literasi keuangan terhadap keputusan investasi di stie multi data palembang. MDP Palembang. eprints.mdp.ac.id
Rembulan, Nada Diva Rizki, dan Egi Arvian Firmansyah. “Perilaku Konsumen Muslim Generasi-Z Dalam Pengadopsian Dompet Digital.” Valid Jurnal Ilmiah 17, no. 2 (2020): 111–28.
u, Xiaochen, dan Nicholas P. Lovrich. Electronic Community-Oriented Policing: Theories, Contemporary Effort, and Future Directions. London: Lexington Books, 2020
Nainggolan, Nana Triapnita, et al. Perilaku Konsumen Di Era Digital. Yayasan Kita Menulis, 2020.
Isrososiawan, Safroni, Ratih Hurriyati, dan Puspo Dewi Dirgantari. “Technology Acceptance Model (TAM) Toward „Dana‟ E-Wallet Customer.” Jurnal Minds: Manajemen Ide dan Inspirasi 6, no. 2 (2019): 181–92.
Purwanto, S., Hartini, S., & Premananto, G.C., (2019), Understanding Consumer Intention to Use Go-Pay: Development and Testing of Technology Acceptance Models for Consumers, EKSIS, Vol 14, No 1
D. L. Amoroso and R. Magnier-Watanabe, “Building a research model for mobile wallet consumer adoption: The case of mobile Suica in Japan,” J. Theor. Appl. Electron. Commer. Res., vol. 7, no. 1, pp. 94–110, 2012, doi: 10.4067/S0718-18762012000100008.
K. Madan and R. Yadav, “Behavioural intention to adopt mobile wallet: a developing country perspective,” J. Indian Bus. Res., vol. 8, no. 3, pp. 227–244, 2016, doi: 10.1108/JIBR-10-2015-0112.
J. F. Hair, Multivariat Data Analysis 7th Edition. New Jersey: Pearson Prentice Hall, 2014.
D. Chawla and H. Joshi, “Consumer attitude and intention to adopt mobile wallet in India – An empirical study,” Int. J. Bank Mark., vol. 37, no. 7, pp. 1590–1618, 2019, doi: 10.1108/IJBM-09-2018-0256.
S. K. Sharma, S. K. Mangla, S. Luthra, and Z. Al-Salti, “Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model,” J. Retail. Consum. Serv., vol. 45, no. June, pp. 52–63, 2018, doi: 10.1016/j.jretconser.2018.08.008.
N. S. Nidhi singh, Shalini Srivastava, “Consumer preference and satisfaction of M-Wallets: a study on North Indian consumers,” Int. J. Bank Mark., vol. 12, no. 7, pp. 1–32, 2017, doi: 10.1108/02652323199400002.
W. H. Wong and W. Y. Mo, “A Study of Consumer Intention of Mobile Payment in Hong Kong, Based on Perceived Risk, Perceived Trust, Perceived Security and Technological Acceptance Model,” J. Adv. Manag. Sci., vol. 7, no. 2, pp. 33–38, 2019, doi: 10.18178/joams.7.2.33-38.
M. Barry and M. T. Jan, “Factors Influencing the Use of M-Commerce: An Extended Technology Acceptance Model Perspective,” Int. J. Econ. Manag. Account., vol. 26, no. 1, pp. 157–183, 2018.
R. Setiani, “Faktor- Faktor Yang Mempengaruhi Penggunaan Alat Pembayaran Non Tunai (Studi di Kota Purbalingga Yogyakarta),” Yogyakarta, 2018.
S. Routray, R. Khurana, R. Payal, and R. Gupta, “A Move towards Cashless Economy: A Case of Continuous Usage of Mobile Wallets in India,” Theor. Econ. Lett., vol. 09, no. 04, pp. 1152–1166, 2019, doi: 10.4236/tel.2019.94074.
J. Z. R. Kevin Anarjia, “Pengaruh Persepsi Manfaat Dan Persepsi Kemudahan Penggunaan Terhadap Minat Menggunakan Layanan Uang Elektronik Sakuku Pt. Bank Central Asia, Tbk Kcu Cikarang,” J. Sist. Inf., vol. 1, no. 2, pp. 1–7, 2018.
Naushad, M. & Sulphey, M.M., (2020), Prioritizing Technology Adoption Dynamics among SMEs, TEM Journal. Volume 9, Issue 3, Pages 983-991, ISSN 2217-8309, DOI: 10.18421/TEM93-2
X. Xu, Q. Li, L. Peng, T. L. Hsia, C. J. Huang, and J. H. Wu, “The impact of informational incentives and social influence on consumer behavior during Alibaba’s online shopping carnival,” Comput. Human Behav., vol. 76, pp. 245–254, 2017, doi: 10.1016/j.chb.2017.07.018.
N. Singh, N. Sinha, and F. J. Liébana-Cabanillas, “Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence,” Int. J. Inf. Manage., vol. 50, no. October 2018, pp. 191–205, 2020, doi: 10.1016/j.ijinfomgt.2019.05.022.
Nurqamarani, A.S., Soegiarto,E., & Nurlaeli, (2021), Technology Adoption in Small-Medium Enterprises based on Technology Acceptance Model: A Critical Review, Journal of Information Systems Engineering and Business Intelligence, Vol.7, No.2
S. Amin, M., Rezaei., and M. Abolghasemi, “User Satisfaction with Mobile Websites: the Impact of Perceived Usefulness (PU), Perceived Ease of use (PEOU) and Trust,” Nankai Bus. Rev. Int., vol. 5, no. 3, pp. 258–274, 2014.
N. D. R. Rembulan and E. A. Firmansyah, “Perilaku Konsumen Muslim Generasi-Z Dalam Pengadopsian Dompet Digital,” Valid J. Ilm., vol. 17, no. 2, pp. 111–128, 2020.
S. E. Chang, W. C. Shen, and C. H. Yeh, “A Comparative Study Of User Intention To Recommend Content On Mobile Social Networks,” Multimed. Tools Appl., vol. 76, no. 4, pp. 5399–5417, 2017, doi: 10.1007/s11042-016-3966-1.
T. Zhou and Y. Lu, “Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience,” Comput. Human Behav., vol. 27, no. 2, pp. 883–889, 2011, doi: 10.1016/j.chb.2010.11.013
DOI: 10.33751/jhss.v7i1.7148
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
