Analisis Anteseden E-Money Adoption pada Masyarakat di Kota Batam

  • Della Jane Wijaya Universitas Internasional batam
  • Ronny Arief Firdiansyah Universitas International Batam
  • Pulung Peranginagin Universitas International Batam
Abstract views: 10 , pdf downloads: 13
Keywords: Ease of Use, Performance Expectancy, Habit, Covid-19 Risk, Behaviour Intention

Abstract

Research aim: This study intends to determine the intensity of people's behavior in using electronic money. 

Design/Approach: This study was designed with a survey research model.

Research Finding: The study's outcome indicates that ease of use, performance risk expectations, habits, and COVID-19 risk had a significant positive effect on the actual use of e-money with behavioral intensity as mediation.

Theoretical contribution/Originality: This research shows that the use of e-money increased during pandemics.

Practitioner/Policy implication: This research can be useful for the e-money platform as material for R&D to provide expansion and improvement of the business side of the e-money company.

Research limitation: This research solely centered on several variables, i.e. ease of use, performance risk expectations, habits, and Covid-19 risk.

Downloads

Download data is not yet available.

References

Farida N, Ardyan E, Nuryakin N. Gender differences in interest in using electronic money: An application of theory planned behavior. Int Rev Manag Mark 2016;6:898–903.

Annur CM. Penduduk Indonesia Tembus 278 Juta Jiwa hingga Pertengahan 2023. 2023.

SKNI. Gerakan Nasional Nontunai. 2018.

Ipsos. Ipsos Marketing Summit “ Indonesia The Next Cashless Society.” 2020.

Statistik BP. Total Penduduk Indonesia 2023.

Ramadan R, Aita J. A model of mobile payment usage among Arab consumers. Int J Bank Mark 2018;36:1213–34. https://doi.org/10.1108/IJBM-05-2017-0080.

Alswaigh NY, Aloud ME. Factors Affecting User Adoption of E-Payment Services Available in Mobile Wallets in Saudi Arabia. IJCSNS Int J Comput Sci Netw Secur 2021;21:222.

Im I, Hong S, Kang MS. An international comparison of technology adoption: Testing the UTAUT model. Inf Manag 2011;48:1–8. https://doi.org/10.1016/j.im.2010.09.001.

Putra P, Jayadi R, Steven I. The Impact of Quality and Price on the Loyalty of Electronic Money Users: Empirical Evidence from Indonesia. J Asian Financ Econ Bus 2021;8:1349–59. https://doi.org/10.13106/jafeb.2021.vol8.no3.1349.

Aji HM, Berakon I, Riza AF. The effects of subjective norm and knowledge about riba on intention to use e-money in Indonesia. J Islam Mark 2020;12:1180–96. https://doi.org/10.1108/JIMA-10-2019-0203.

Hair JF, Sarstedt M, Hopkins L, Kuppelwieser VG. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. Eur Bus Rev 2014;26:106–21. https://doi.org/10.1108/EBR-10-2013-0128.

Chaveesuk S, Vanitchatchavan P, Wutthirong P, Nakwari P, Jaikua M, Chaiyasoonthorn W. The acceptance model toward cashless society in Thailand. ACM Int Conf Proceeding Ser 2019:190–5. https://doi.org/10.1145/3357419.3357457.

Rahardjo B, Akbar BMB, Novitaningtyas I. The Analysis of Intention and Use of Financial Technology. J Account Strateg Financ 2020;3:88–102. https://doi.org/10.33005/jasf.v3i1.70.

Yang M, Al Mamun A, Mohiuddin M, Nawi NC, Zainol NR. Cashless transactions: A study on intention and adoption of e-wallets. Sustain 2021;13:1–18. https://doi.org/10.3390/su13020831.

Venkatesh J, Thong X. of Acceptance and Use of Technology1 2012;36:157–78.

Riskinanto A, Kelana B, Hilmawan DR. The Moderation Effect of Age on Adopting E-Payment Technology. Procedia Comput Sci 2017;124:536–43. https://doi.org/10.1016/j.procs.2017.12.187.

Susanto P, Hoque ME, Hashim NMHN, Shah NU, Alam MNA. Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour. Int J Emerg Mark 2022;17:530–49. https://doi.org/10.1108/IJOEM-05-2019-0382.

Alfansi L, Daulay MYI. Factor affecting the use of e-money in millennial generation: Research model UTAUT 2. J Manaj Dan Pemasar Jasa 2021;14:109–22. https://doi.org/10.25105/jmpj.v14i1.8212.

Anggraeni FD, Rabiyah U, Pontoh GT, Mediaty M, Sundari S. Analysis of E-Wallet Using Intentions Among Millenial Generation. J Int Conf Proc 2021;4. https://doi.org/10.32535/jicp.v4i2.1433.

Daragmeh A, Lentner C, Sági J. FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. J Behav Exp Financ 2021;32:100574. https://doi.org/10.1016/j.jbef.2021.100574.

Rahayu S, Hariadi S. Intention to use E-wallet during the COVID-19 pandemic in Indonesia. Contemp Res Manag Bus 2022:232–5. https://doi.org/10.1201/9781003295952-59.

Monica F, Japarianto E. Analisa Pengaruh Perceived Ease of Use Dan Melalui Perceived Enjoyment Terhadap Behavior Intention Pada Digital Payment. J Manaj Pemasar 2022;16:9–15. https://doi.org/10.9744/pemasaran.16.1.9-15.

Indah M, Agustin H. Penerapan Model Utaut (Unified Theory Of Acceptance And Use Of Technology) Untuk Memahami Niat Dan Perilaku Aktual Pengguna Go-Pay Di Kota Padang. J Eksplor Akunt 2019;1:1949–67. https://doi.org/10.24036/jea.v1i4.188.

Kurniawan AT, Endahjati S. Faktor yang Mempengaruhi Keberterimaan Penggunaan Uang Digital di Masyarakat Kota Yogyakarta. J Akunt Keuang Dan Bisnis 2020;13:1–10.

Rahmawati RE, Maika MR. Penerapan Model UTAUT terkait akseptasi mahasiswa terhadap Cashless Payment di masa Pandemi COVID-19. J Ekon Mod 2021;17:1–14. https://doi.org/10.21067/jem.v17i1.5228.

PlumX Metrics

Published
2024-04-01
How to Cite
Wijaya, D. J., Firdiansyah, R. A., & Peranginagin, P. (2024). Analisis Anteseden E-Money Adoption pada Masyarakat di Kota Batam. JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS, 9(1), 75-86. https://doi.org/10.29407/nusamba.v9i1.20173