The Indonesia Digital Payment Puzzle: Unraveling User Segmentation via Transaction Behaviors
1Zakky Rudy Anggara, 2Raden Johny Hadi Raharjo
1,2Management Study Programs, Faculty of Economics and Business, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
https://doi.org/10.47191/jefms/v7-i1-65ABSTRACT:
This research discusses the rapid development of technology and how it can affect the dynamics of life, especially in the economic sector and digital payments in Indonesia. Increasing internet usage and adoption of digital payments are the main focuses here. Digital wallets are one of the technological developments, namely digital payments. This digital wallet has relatively many users and continues to increase over time. There are several well-known digital wallets, namely Shopeepay, OVO, Dana, GoPay, etc. All digital wallet services strive to provide the best service to consumers. Where consumer satisfaction affects consumer behavior of a product or service. The study also highlights the importance of financial literacy in influencing a person's financial behavior. This study aims to see how transaction patterns affect the segment of digital payment usage in Indonesia, which is to help digital payment service providers improve their services.
KEYWORDS:
Digital Payment, Digital wallet, consumer satisfaction, consumer behavior, transaction pattern, consumer segmentation.
REFERENCES:
1) Arofah, A. A. (2019). Financial literacy, self-efficacy, and financial behaviour of college students. International Journal of Pedagogy and Teacher Education, 3(2), 129–138. https://jurnal.uns.ac.id/ijpte/article/view/17546
2) Baihaqqy, M. R. I., Disman, Nugraha, & Sari, M. (2020). The correlation between education level and understanding of financial literacy and its effect on investment decisions in capital markets. Journal of Education and E-Learning Research, 7(3), 306–313. https://doi.org/10.20448/JOURNAL.509.2020.73.306.313
3) Bank Indonesia. (2020). Tabel 5c. Uang Elektronik Table 5c. Electronic Money 2020. 11, 1–2.
4) Bank Indonesia. (2022). Laporan Keuangan Tahunan Bank Indonesia Tahun 2022 Bank Indonesia Annual Financial Statements 2022.
5) Bank Negara Malaysia. (2021). Number of Cards and Users of Payment Instruments (end of period ). Bank Negara Malaysia, 1.
6) Bank Negara Malaysia. (2023). T1 - Transactions Per Capita. November 2006, 2018. https://www.bnm.gov.my/payment-statistics
7) BPS. (2022). Statistik Telekomunikasi Indonesia 2022 (Data Penetrasi Internet. Statistik Telekomunikasi Indonesia 2022, 1–401.
8) Burhan, F. A. (2021). Jumlah Pengguna ShopeePay, OVO, DANA Melonjak hingga 267% Halaman 2. Katadata.Co.Id. https://katadata.co.id/desysetyowati/digital/605d9ee9399b9/jumlah-pengguna-shopeepay-ovo-dana-melonjak-hingga-267?page=2
9) Chellaboina, S., Gembali, M., & Sathya Priya, S. (2022). Product Recommendation based on Customer Segmentation Engine. 2022 2nd International Conference on Intelligent Technologies, CONIT 2022, Clv, 1–7. https://doi.org/10.1109/CONIT55038.2022.9847990
10) Cleveland, M., Papadopoulos, N., & Laroche, M. (2011). Identity, demographics, and consumer behaviors: International market segmentation across product categories. International Marketing Review, 28, 244–266. https://doi.org/https://doi.org/10.1108/02651331111132848
11) Cooil, B., Aksoy, L., & Timothy, L. (2008). Journal of Relationship Approaches to Customer Segmentation. Journal of Relationship Marketing, 6(4), 9–39. https://doi.org/10.1300/J366v06n03
12) Creswell, J. W., & Creswell, J. D. (2018). Mixed Methods Procedures. In Research Defign: Qualitative, Quantitative, and Mixed M ethods Approaches.
13) Danila, N., Shahwan, Y., Ali, Z., & Djalaluddin, A. (2019). The linkages between financial literacy and its application in financial decision-making among academicians in Indonesia. Humanities and Social Sciences Reviews, 7(5), 1280–1292. https://doi.org/10.18510/hssr.2019.75167
14) Darmawan, D. (2019). The Effect of Customer Satisfaction on Trust and Customer Loyalty. Management and Accounting Research Journal Global, 03(02), 1–73.
15) Deloitte. (2020). Deloitte Indonesia Business and Industry Updates: The Accelerating Digital Payments Landscape in Indonesia. 8. https://www2.deloitte.com/content/dam/Deloitte/id/Documents/technology-media-telecommunications/id-tmt-accelerating-digital-payments-landscape-in-indonesia.pdf
16) Dewi, I. R. (2022). Peta Kompetisi Dompet Digital Indonesia, Siapa Lebih Unggul? CNBC Indonesia. https://www.cnbcindonesia.com/tech/20220628115548-37-350996/peta-kompetisi-dompet-digital-indonesia-siapa-lebih-unggul
17) Dwiastanti, A. (2015). Financial Literacy as the Foundation for Individual FinancialBehavior. Journal of Education and Practice, 6(33), 99–105. www.iiste.org
18) Etikan, I. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1. https://doi.org/10.11648/j.ajtas.20160501.11
19) Gounaris, S., Dimitriadis, S., & Stathakopoulos, V. (2010). An examination of the effects of service quality and satisfaction on customers’ behavioral intentions in e-shopping. Journal of Services Marketing, 24(2), 142–156. https://doi.org/10.1108/08876041011031118
20) Hadi Raharjo, R. J. (2023). The Gen Z’s Digital Payment Loyalty in Indonesia. Revista de Cercetare Si Interventie Sociala, 83, 181–202. https://doi.org/10.33788/rcis.83.13
21) Hung, A., Parker, A. M., & Yoong, J. (2011). Defining and Measuring Financial Literacy. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1498674
22) Kotler, P., & Keller, K. L. (2016). Marketing Management MARKETING MANAGEMENT Marketing Management. In Pearson Practice Hall.
23) Kumar, V., & Reinartz, W. (2018). Applications of CRM in B2B and B2C Scenarios Part II. https://doi.org/10.1007/978-3-662-55381-7_17
24) Kurniawan, B., Wahyuni, S. F., & Valentina, T. (2019). The influence of digital payments on public spending patterns. Journal of Physics: Conference Series, 1402(6), 2–6. https://doi.org/10.1088/1742-6596/1402/6/066085
25) Lusardi, A., & Messy, F.-A. (2023). The importance of financial literacy and its impact on financial wellbeing. Journal of Financial Literacy and Wellbeing, 1(1), 1–11. https://doi.org/10.1017/flw.2023.8
26) Mouna, A., & Jarboui, A. (2015). Financial literacy and portfolio diversification: an observation from the Tunisian stock market. International Journal of Bank Marketing, 33(6), 808–822. https://doi.org/DOI 10.1108/IJBM-03-2015-0032
27) Niti Widari, D. A. P., Pulawan, I. M., & Setini, M. (2023). Financial Literacy Moderation on the Influence of E-Wallet Usage and Locus of Control on Consumtive Behavior of Generation Z in Denpasar City. International Journal of Management and Economics Invention, 09(11), 3160–3168. https://doi.org/10.47191/ijmei/v9i11.04
28) Noviana, P. T., & Darma, G. S. (2020). Exploring Digital Marketing Strategies During the New Normal Era in Enhancing the Use of Digital Payment. Jurnal Mantik, 4(Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)). https://doi.org/https://doi.org/10.35335/mantik.Vol4.2020.1084.pp2257-2262
29) OJK. (2022). Siaran Pers Survei Nasional Literasi Dan Inklusi Keuangan Tahun 2022. Otoritas Jasa Keuangan, November, 10–12.
30) Regmi, P. R., Waithaka, E., Paudyal, A., Simkhada, P., & Van Teijlingen, E. (2017). Guide to the design and application of online questionnaire surveys. Nepal Journal of Epidemiology, 6(4), 640–644. https://doi.org/10.3126/nje.v6i4.17258
31) Sari, J. N., Nugroho, L. E., Ferdiana, R., & Santosa, P. I. (2016). Review on Customer Segmentation Technique on Ecommerce. Advanced Science Letters, 4. https://doi.org/https://doi.org/10.1166/asl.2016.7985
32) Sheth, D. (2023). the Impact of Digital Marketing on Brand Awareness. International Journal of Food and Nutritional Sciences, 11(ISS7), 730–735. https://doi.org/10.48047/ijfans/v11/iss7/335
33) Wagner, J., & Walstad, W. B. (2019). The Effects of Financial Education on Short-Term and Long-Term Financial Behaviors. Journal of Consumer Affairs, 53(1), 234–259. https://doi.org/10.1111/joca.12210
34) Zare, H., & Emadi, S. (2020). Determination of Customer Satisfaction using Improved K-means algorithm. Soft Computing, 24(22), 16947–16965. https://doi.org/10.1007/s00500-020-04988-4