Abstract
Fintech innovations such as mobile wallets (m-wallet) are reshaping the payment landscape, m-wallet users in Indonesia are relatively high, but there is a gap in the number of m-wallet users by age group. The highest number of m-wallet users, mostly the young generation, is based on age. The digital immigrant generation is another age group with the potential to increase but still needs to be higher in adoption. This research's primary objective is to determine the effect of m-wallet adoption in Indonesia. This study aimed to comprehend how consumers adopted m-wallets. Four hundred respondents categorized as digital immigrants in Indonesia were surveyed quantitatively using a cross-sectional study approach using Smart PLS 3.1, and Partial Least Square Structural Equation Modeling (PLS-SEM) was used to evaluate the obtained data. The findings showed that perceived behavioral intention is significantly influenced by Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Perceived Security (PS), and Perceived Trust (PT). Consumer Behavioral intention is also significantly influenced by m-wallet adoption by digital immigrants in Indonesia.
Publisher
Journal of Eastern European and Central Asian Research
Subject
Marketing,Organizational Behavior and Human Resource Management,Strategy and Management,Economics and Econometrics,Finance,Business and International Management
Reference34 articles.
1. Agudo-Peregrina, Á. F., Hernández-García, Á., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301–314. https://doi.org/10.1016/j.chb.2013.10.035
2. Aneez, Z., Neyazi, A. T., Kalogeropoulos, A., & Nielsen, R. K. (2019). India digital news report. ora.ox.ac.uk. https://ora.ox.ac.uk/objects/uuid:9c884a81-204e-415c-a87c-6818ac88442e/download_file?file_format=pdf&safe_filename=India_DNR_FINAL.pdf&type_of_work=Journal+article
3. Armesh, H., Salarzehi, H., & Mohammad, N. (2010). Causes of Inflation in the Iranian Economy. International Review of Business Research Papers, 6(3), 30–44.
4. Belanche, D., Casaló, L. V., & Flavián, C. (2012). Integrating trust and personal values into the Technology Acceptance Model: The case of e-government services adoption. Cuadernos de Economia y Direccion de La Empresa, 15(4), 192–204. https://doi.org/10.1016/j.cede.2012.04.004
5. Brandon-Jones, A., & Kauppi, K. (2018). Examining the antecedents of the technology acceptance model within e-procurement. International Journal of Operations and Production Management, 38(1), 22–42. https://doi.org/10.1108/IJOPM-06-2015-0346
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献