Mobile wallet adaption model among digital immigrant generation in Indonesia

Authors

  • Resa Nurlaela Anwar Universitas Pendidikan Indonesia, Bandung, Indonesia . Universitas Darma Persada, Jakarta, Indonesia https://orcid.org/0009-0001-9828-0666
  • Vanessa Gaffar Universitas Pendidikan Indonesia , Bandung, Indonesia
  • Disman Disman Universitas Pendidikan Indonesia , Bandung, Indonesia
  • Chairul Furqon Universitas Pendidikan Indonesia , Bandung, Indonesia
  • Yayah Sutisnawati Unversitas Komputer Indonesia, Bandung, Indonesia

DOI:

https://doi.org/10.15549/jeecar.v10i6.1499

Keywords:

Perceived ease of use, Perceived usefulness, Perceived Security, Perceived Trust, Behavioral Intention, Mobile wallet adoption, TAM, UTAUT

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.

References

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 DOI: https://doi.org/10.1016/j.chb.2013.10.035

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

Armesh, H., Salarzehi, H., & Mohammad, N. (2010). Causes of Inflation in the Iranian Economy. International Review of Business Research Papers, 6(3), 30–44.

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 DOI: https://doi.org/10.1016/j.cede.2012.04.004

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 DOI: https://doi.org/10.1108/IJOPM-06-2015-0346

Chauhan, S. (2015). Acceptance of mobile money by poor citizens of India: Integrating trust into the technology acceptance model. Info, 17(3), 58–68. https://doi.org/10.1108/info-02-2015-0018 DOI: https://doi.org/10.1108/info-02-2015-0018

Chaurasia, S. S., Verma, S., & Singh, V. (2019). Exploring the intention to use M-payment in India: Role of extrinsic motivation, intrinsic motivation and perceived demonetization regulation. Transforming Government: People, Process and Policy, 13(3–4), 276–305. https://doi.org/10.1108/TG-09-2018-0060 DOI: https://doi.org/10.1108/TG-09-2018-0060

Chen, Y. H. H., & Corkindale, D. (2008). Towards an understanding of the behavioral intention to use online news services: An exploratory study. Internet Research, 18(3), 286–312. https://doi.org/10.1108/10662240810883326 DOI: https://doi.org/10.1108/10662240810883326

Correani, A., Massis, A. De, Frattini, F., & ... (2020). Implementing a digital strategy: Learning from the experience of three digital transformation projects. California …. https://doi.org/10.1177/0008125620934864 DOI: https://doi.org/10.1177/0008125620934864

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008

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 DOI: https://doi.org/10.1287/mnsc.35.8.982

DZEMYDIENE, D., NAUJIKIENE, R., & Marius KALINAUSKAS, E. J. (2010). Evaluation of Security Disturbance Risks in Electronic Financial Payment Systems. Intelektine Ekonomika, 8011(2), 8038. http://search.proquest.com/docview/1426796949/abstract/5BAD72F3AF0B4FA2PQ/6

Eid, M. I. (2011). Determinants of e-commerce customer satisfaction, trust, and loyalty in Saudi Arabia. Journal of Electronic Commerce Research, 12(1), 78–93.

Go, H., Kang, M., & Suh, S. B. C. (2020). Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge. Tourism Review, 75(4), 625–636. https://doi.org/10.1108/TR-02-2019-0062 DOI: https://doi.org/10.1108/TR-02-2019-0062

Hua, X., Huang, Y., & Zheng, Y. (2019). Current practices, new insights, and emerging trends of financial technologies. Industrial Management and Data Systems, 119(7), 1401–1410. https://doi.org/10.1108/IMDS-08-2019-0431 DOI: https://doi.org/10.1108/IMDS-08-2019-0431

Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073–1098. https://doi.org/10.1108/EJM-12-2016-0794 DOI: https://doi.org/10.1108/EJM-12-2016-0794

Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment adoption for bottom of pyramid segment: an empirical investigation. International Journal of Bank Marketing, 37(1), 362–381. https://doi.org/10.1108/IJBM-01-2018-0013 DOI: https://doi.org/10.1108/IJBM-01-2018-0013

Karimi, S., & Liu, Y. L. (2020). The differential impact of “mood” on consumers’ decisions, a case of mobile payment adoption. Computers in Human Behavior, 102(August 2019), 132–143. https://doi.org/10.1016/j.chb.2019.08.017 DOI: https://doi.org/10.1016/j.chb.2019.08.017

Kinasih, B. S., & Albari, A. (2012). Pengaruh Persepsi Keamanan dan Privasi terhadap Kepuasan dan Kepercayaan Konsumen Online. Jurnal Siasat Bisnis, 16(1). https://doi.org/10.20885/jsb.vol16.iss1.art3 DOI: https://doi.org/10.20885/jsb.vol16.iss1.art3

Lim, F.-W., Ahmad, F., & Abdul Talib, A. N. (2019). Behavioural Intention towards Using Electronic Wallet: A Conceptual Framework in the Light of the Unified Theory of Acceptance and Use of Technology (UTAUT). Imperial Journal of Interdisciplinary Research, 5(1), 79–86.

Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling Internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263–294. https://doi.org/10.1108/JEIM-10-2015-0094 DOI: https://doi.org/10.1108/JEIM-10-2015-0094

Mowen, J. C., & Minor, M. (2002). Perilaku Konsumen. Jakarta: Erlangga, 90. http://repo.iain-tulungagung.ac.id/13765/5/BAB II.pdf

Owusu Kwateng, K., Osei Atiemo, K. A., & Appiah, C. (2019). Acceptance and use of mobile banking: an application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118–151. https://doi.org/10.1108/JEIM-03-2018-0055 DOI: https://doi.org/10.1108/JEIM-03-2018-0055

Pramana, E. (2018). Determinants of the adoption of mobile learning systems among university students in Indonesia. Journal of Information Technology Education: Research, 17, 365–398. https://doi.org/10.28945/4119 DOI: https://doi.org/10.28945/4119

Putra, Y. S. (2016). THEORITICAL REVIEW: TEORI PERBEDAAN GENERASI. Jurnal Ekonomi Dan Bisnis, 9 No 2(1952), 123–134. DOI: https://doi.org/10.52353/ama.v9i2.142

Roca, J. C., García, J. J., & de la Vega, J. J. (2009). The importance of perceived trust, security, and privacy in online trading systems. Information Management and Computer Security, 17(2), 96–113. https://doi.org/10.1108/09685220910963983 DOI: https://doi.org/10.1108/09685220910963983

Sharma, S. K., Gaur, A., Saddikuti, V., & Rastogi, A. (2017). Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems. Behaviour and Information Technology, 36(10), 1053–1066. https://doi.org/10.1080/0144929X.2017.1340973 DOI: https://doi.org/10.1080/0144929X.2017.1340973

Siagian, H., & Cahyono, E. (2014). Analisis Website Quality, Trust Dan Loyalty Pelanggan Online Shop. Jurnal Manajemen Pemasaran, 8(2), 55–61. https://doi.org/10.9744/pemasaran.8.2.55-61 DOI: https://doi.org/10.9744/pemasaran.8.2.55-61

Silalahi, I. V., Hurriyati, R., Rahayu, A., Gaffar, V., Wibowo, L. A., Dirgantari, P. D., & Warlin, L. (2022). Digital Way to Increase Consumer Purchase Intention for Local Fashion Products in Developing Country. Journal of Eastern European and Central Asian Research, 9(5), 838–850. https://doi.org/10.15549/jeecar.v9i5.1070 DOI: https://doi.org/10.15549/jeecar.v9i5.1070

Soegoto, A. S. (2013). Persepsi Nilai dan Kepercayaan Terhadap Kepuasan dan Dampaknya Terhadap Loyalitas Konsumen. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 1(3), 1271–1283.

Suryanto, S., Muhyi, H. A., Kurniati, P. S., & Mustapha, N. (2022). Banking Financial Performance in the Industry Financial Technology Era. Journal of Eastern European and Central Asian Research, 9(5), 889–900. https://doi.org/10.15549/jeecar.v9i5.1075 DOI: https://doi.org/10.15549/jeecar.v9i5.1075

Venkatesh, V. (2015). Technology Acceptance Model and The Unified Theory of Acceptance and Use of Technology. Wiley Encyclopedia of Management, 1–9. https://doi.org/10.1002/9781118785317.weom070047 DOI: https://doi.org/10.1002/9781118785317.weom070047

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. Inorganic Chemistry Communications, 27(3), 425–478. https://doi.org/10.1016/j.inoche.2016.03.015 DOI: https://doi.org/10.2307/30036540

Wirtz, J. (2017). Developing Service Products and Brands. Developing Service Products and Brands, 3. https://doi.org/10.1142/y0005 DOI: https://doi.org/10.1142/y0005

Published

2023-11-05

How to Cite

Anwar, R. N., Gaffar, V., Disman, D., Furqon, C., & Sutisnawati, Y. (2023). Mobile wallet adaption model among digital immigrant generation in Indonesia. Journal of Eastern European and Central Asian Research (JEECAR), 10(6), 799–809. https://doi.org/10.15549/jeecar.v10i6.1499

Most read articles by the same author(s)

<< < 1 2