User Behavior Analysis of E-Wallet Usage Among Generation Z using the Theory of Planned Behavior

Muhammad Zacky Raditya, Mona Fronita, Eki Saputra, Megawati Megawati, Anofrizen Anofrizen

Abstract


With the rapid advancement of digital technology and the growing demand for fast and practical transaction systems, the use of digital wallets (E-Wallets) among the younger generation—particularly Generation Z—has significantly increased. This study aims to identify the behavioral factors influencing E-Wallet usage among Gen Z by applying the Theory of Planned Behavior (TPB). This theoretical framework includes three main constructs believed to influence Behavioral Intention (BI) and actual user behavior: Attitude Toward the Behavior (ATB), Subjective Norm (SN), and Perceived Behavioral Control (PBC). The study involved 100 Gen Z university students in Pekanbaru, selected through purposive sampling. A quantitative research method was employed, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Instrument validity was tested through discriminant validity, while reliability was assessed using Cronbach’s Alpha and Composite Reliability. The findings reveal that all three variables—Attitude Toward the Behavior, Subjective Norm, and Perceived Behavioral Control—have a significant influence on Behavioral Intention to use E-Wallets among Gen Z in Pekanbaru. Furthermore, both Behavioral Intention and Perceived Behavioral Control significantly affect the actual usage behavior of E-Wallets. Theoretically, these results support the applicability of the TPB framework in the context of digital payment systems. Practically, E-Wallet providers are advised to focus on enhancing users’ positive attitudes, leveraging social influence, and improving ease of use for Gen Z. However, this study is limited by its exclusion of external factors beyond the TPB model that may also influence E-Wallet usage behavior.

Keywords


E-Wallet; Generation Z; SmartPLS; Theory of Planned Behavior; User Behavior

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References


R. I. Permana, “Analisis Faktor Penggunaan Dompet Digital di Kalangan Mahasiswa Perguruan Tinggi Surabaya,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), Vol. 8, no. 1, pp. 312–322, Mar. 2021. https://doi.org/10.35957/jatisi.v8i1.584

S. Singh, M. M. Sahni, and R. K. Kovid, “What Drives Fintech Adoption? A Multi-Method Evaluation using an Adapted Technology Acceptance Model,” Manag. Decis., Vol. 58, No. 8, pp. 1675–1697, 2020. https://doi.org/10.1108/MD-09-2019-1318

H. M. Aji, I. Berakon, and M. Md Husin, “COVID-19 and E - Wallet Usage Intention: A Multigroup Analysis between Indonesia and Malaysia,” Cogent Bus. Manag., Vol. 7, No. 1, 2020. https://doi.org/10.1080/23311975.2020.1804181

A. Shankar, B. Datta, C. Jebarajakirthy, and S. Mukherjee, “Exploring Mobile Banking Service Quality: A Qualitative Approach,” Serv. Mark. Q., Vol. 41, No. 2, pp. 182–204, 2020. https://doi.org/10.1080/15332969.2020.1742982

N. Singh and N. Sinha, “How Perceived Trust Mediates Merchant’s Intention to use a Mobile Wallet Technology,” J. Retail. Consum. Serv., Vol. 52, No. March 2019, p. 101894, 2020. https://doi.org/10.1016/j.jretconser.2019.101894

L. S. Arum, A. Zahrani, and N. A. Duha, “Karakteristik Gen Z dan Kesiapannya dalam menghadapi Bonus Demografi 2030,” Account. Student Res. J., Vol. 2, No. 1, pp. 59–72, 2023. https://doi.org/10.62108/asrj.v2i1.5812

Y. Yennisa and H. R. N. Putri, “Faktor-Faktor yang Berpengaruh pada Keputusan Penggunaan E - Wallet dalam Transaksi Pembayaran (Studi di Pasar Tradisional Daerah Istimewa Yogyakarta),” UPY Bus. Manag. J., Vol. 2, No. 2, pp. 30–39, Jul. 2023. https://doi.org/10.31316/ubmj.v2i2.5075

N. Maharani and W. Meiranto, “Analisis Faktor-Faktor yang memengaruhi Niat Perilaku Penggunaan E - Wallet terhadap Perilaku Pengguna dengan menggunakan Model Unified Theory Of Acceptance And Use Of Technology 3 (UTAUT 3) pada Mahasiswa di Kota Semarang,” DIPONEGORO J. Account., Vol. 13, No. 4, pp. 1–15, 2024.

N. M. Sutoyo and Qammaddin, “Penerapan Metode Theory Of Planned Behavior ( TPB ) dan Technology Acceptance Model ( TAM ) pada Pengguna,” Justek J. Sains Dan Teknol., Vol. 6, No. 3, pp. 345–355, 2023. https://doi.org/10.31764/justek.v6i3.17160

S. Intan, M. Fronita, M. L. Hamzah, E. Saputra, Anofrizen, S. Siregar, “Analisis Perilaku Pengguna SAMSAT Digital Nasional menggunakan Metode TAM danTPB,” Vol. 7, No. 4, pp. 1472–1483, 2024. https://doi.org/10.32493/jtsi.v7i4.44362

R. D. Aviyanti, “Perilaku Pengguna E-accounting berdasarkan Perspektif Combined-TAM-TPB (C-TAM-TPB),” Fisc. J. Akunt. dan Perpajak., Vol. 2, No. 1, p. 12, 2024. https://doi.org/10.25273/jap.v2i1.19304

U. C. Whidya, “Attitide, Subjective Norms, Perceived Behavior, Entrepreneurship Education and Self-efficacy toward Entrepreneurial Intention University Student in Indonesia,” Eur. Res. Stud. J., Vol. 20, pp. 475–495, 2017.

P. a Pavlou and M. Fygenson, “Understanding and Predicting Electronic Commerce Adoption : An Extension of the Theory of Planned Behavior Qjarteny and Predicting Understanding Electronic an Extension of Commerce Adoption : the Theory of Planned formed,” Underst. Predict. Electron. Commer. Adopt. An Ext. Theory Plan. Behav., Vol. 30, No. 1, pp. 115–143, 2006. https://doi.org/10.2307/25148720

V. Venkatesh and F. D. Davis, “A Model of the Antecedents of Perceived Ease of use: Development and Test,” Decis. SCI., Vol. 27, No. 3, pp. 451–481, 1996. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x

R. B. H. Siagian, Z. J. H. Tarigan, S. R. Basana, “The Effect of Perceived Security, Perceived Ease of use, and Perceived Usefulness on Consumer Behavioral Intention Through Trust in Digital Payment Platform,” Int. J. Data Netw. Sci., Vol. 6, p. 120, 2022.

N. Kamariah, N. Mat, and I. Sentosa, “The Integration of Theory of Planned Behaviour (TPB) and Technology Acceptance Model in Internet Purchasing: A Structural Equation Modelling (SEM) Apparoach,” Proc. Appl. Int. Bus. Conf., No. April, 2008.

J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “The Results of PLS-SEM Article Information,” Eur. Bus. Rev., Vol. 31, No. 1, pp. 2–24, 2019.

D. H. Perkasa and H. Mulyanto, “Pengaruh Beban Kerja, Gaya Kepemimpinan dan Kedisplinan terhadap Kinerja Guru,” Revenue Lentera Bisnis Manaj., Vol. 1, No. 04, pp. 149–161, 2023.

H. Halin, H. Wijaya, and R. Yusilpi, “Pengaruh Harga Jual Kaca Patri Jenis Silver terhadap Nilai Penjualan pada CV. Karunia Kaca Palembang Tahun 2004-2015,” J. Ecoment Glob., Vol. 2, No. 2, pp. 49–56, 2017.

J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Cham: Springer International Publishing, 2021.




DOI: https://doi.org/10.32520/stmsi.v14i4.5312

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