Constituents Driving Interest in Using E-Wallets in Generation Z

Authors

  • Fitria Halim Management Study Program, Sekolah Tinggi Ilmu Ekomomi Sultan Agung, Indonesia
  • Efendi Efendi Management Study Program, Sekolah Tinggi Ilmu Ekomomi Sultan Agung, Indonesia
  • Marisi Butarbutar Management Study Program, Sekolah Tinggi Ilmu Ekomomi Sultan Agung, Indonesia
  • Anne Rumondang Malau Management Study Program, Universitas HKBP Nommensen, Indonesia
  • Acai Sudirman Management Study Program, Sekolah Tinggi Ilmu Ekomomi Sultan Agung, Indonesia

DOI:

https://doi.org/10.31098/ic-smart.v1i1.32

Keywords:

perceived ease of use, perceived usefulness, facility condition, social influence, generation Z

Abstract

Nowadays, the use of information technology is increasingly prevalent so that it has a direct impact on lifestyle changes of people who want everything in fast and instantaneous ways, in which one of them occurs in the financial sector. Following the people’s needs, various electronic payment instruments called E-Wallets have emerged. In the phenomenon of the use of this new technology, there are undoubtedly many factors that are indicated to influence it. The objective of this study is to find out the behavior of Generation Z in using E-Wallet by applying the UTAUT (Unified Theory of Acceptance and Use of Technology) theory model. This study used quantitative data in the form of an exploratory survey using an online questionnaire. Using the PLS-SEM method and non-probability sampling research techniques with a purposive sampling method, it obtained a sample of the study of 146 respondents. The results showed that the Perceived Ease of Use, Facility Condition, and Social Influence had a significant effect on the behavior of using E-Wallet. Meanwhile, Perceived Usefulness had no effect on interest in using E-Wallet.

References

Abrahão, Ricardo de Sena, Stella Naomi Moriguchi, and Darly Fernando Andrade. 2016. “Intention of Adoption of Mobile Payment: An Analysis in the Light of the Unified Theory of Acceptance and Use of Technology (UTAUT).” RAI Revista de Administração e Inovação 13(3): 221–30.

Aksami, Ni Made Dwi, Jember, I Made. (2019). Analisis Minat Penggunaan Layanan E-Money Pada Masyarakat Kota Denpasar. E-Jurnal Ekonomi Pembangunan Unversitas Udayana. 8 (9), 67-78.

Alalwan, Ali Abdallah, Yogesh K. Dwivedi, and Nripendra P. Rana. 2017. “Factors Influencing Adoption of Mobile Banking by Jordanian Bank Customers: Extending UTAUT2 with Trust.” International Journal of Information Management 37(3): 99–110. http://dx.doi.org/10.1016/j.ijinfomgt.2017.01.002.

Alalwan, Ali Abdallah, Yogesh K. Dwivedi, and Michael D. Williams. 2016. “Customers’ Intention and Adoption of Telebanking in Jordan.” Information Systems Management 33(2): 154–78.

Alsamydai, Mahmood Jasim et al. 2014. “Www.Tjprc.Org The Factors Influencing Customer Usage Of Mobile Banking Services In Jordan.” International Journal of Business Management & Research 4(2): 2249–6920.

Amoroso, Donald L., and Rémy Magnier-Watanabe. 2012. “Building a Research Model for Mobile Wallet Consumer Adoption: The Case of Mobile Suica in Japan.” Journal of Theoretical and Applied Electronic Commerce Research 7(1): 94–110.

Badri, Muhammad. 2020. “InovbizAdopsi Inovasi Aplikasi Dompet Digital Di Kota Pekanbaru.” Inovbiz: Jurnal Inovasi Bisnis 8(1): 120–27.

Bagla, Ramesh Kumar, and Vivek Sancheti. 2018. “Gaps in Customer Satisfaction with Digital Wallets: Challenge for Sustainability.” Journal of Management Development 37(6): 442–51.

Bank Indonesia. (2019). List Of Electronic Money Operators Licensed By Bank Indonesia - Bank Sentral Republik Indonesia. Payment System License Information, pp. 1–6. Retrieved from https://www.bi.go.id/en/sistem- pembayaran/informasi-perizinan/uang-elektronik/penyelenggara- berizin/Pages/default.aspx

Beheshti, Amin, Boualem Benatallah, and Hamid Reza Motahari-Nezhad. 2018. “ProcessAtlas: A Scalable and Extensible Platform for Business Process Analytics.” Software - Practice and Experience: 1–25.

Chawla, Deepak, and Himanshu Joshi. 2019. “Consumer Attitude and Intention to Adopt Mobile Wallet in India – An Empirical Study.” International Journal of Bank Marketing 37(7): 1590–1618.

Chin, W. W. (1998). The partial least squares approach to structural equation modelling. In Marcoulides G. A. (Ed.). Modern Methods for Business Research, 295(2), 295–336.

Chen, Q., Chen, H. M., & Kazman, R. (2007). Investigating antecedents of technology acceptance of initial eCRM users beyond generation X and the role of self-construal. Electronic Commerce Research, 7(3–4), 315–339. https://doi.org/10.1007/s10660-007-9009-2

Chuang, L. M., Chun, C. L., & Hsiao, K. K. (2016). The adoption of fintech service: TAM perspective. International Journal of Management and Administrative Sciences, 3, 1–15.

Fitria, Linda, and Adi Winata. 2020. “The Effect of Electronic Coupon Value to Perceived Usefulness and Perceived Ease-of-Use and Its Implication to Behavioral Intention to Use Server-Based Electronic Money.” International Journal of Innovative Science and Research Technology 5(1): 147–58.

Gu, Ja Chul, Sang Chul Lee, and Yung Ho Suh. 2009. “Determinants of Behavioral Intention to Mobile Banking.” Expert Systems with Applications 36(9): 11605–16. http://dx.doi.org/10.1016/j.eswa.2009.03.024.

Hair, J. F. et al. 2014. Multivariat Data Analysis 7th Edition. New Jersey: Pearson Prentice Hall.

Houston, Dian Dinata. 2020. “Adopsi Penerimaan Digital Payment Pada Kalangan Milenial.” Medium 7(2): 55–67.

Howe,N.,&Nadler,R.(2012).WhyGenerationsMatter :TenFindings from LifeCourse Research on the Workforce.

Huei, Cham Tat et al. 2018. “Preliminary Study on Consumer Attitude towards Fintech Products and Services in Malaysia.” International Journal of Engineering and Technology(UAE) 7(2): 166–69.

Intarot, Pharot, and Chutima Beokhaimook Beokhaimook. 2018. “Influencing Factor in E-Wallet Acceptant and Use.” International Journal of Business and Administrative Studies 4(4): 167–75.

Juliandi, A. (2018). Membangun Model PLS di SmartPLS. 16–17. https://doi.org/10.5281/zenodo.2538001

Keng-Soon, Chong et al. 2019. “An Adoption of Fintech Service in Malaysia.” South East Asia Journal of Contemporary Business, Economics and Law 18(5): 73–92.

Kesumastuti, Teresia Miranti. 2020. “The Process of Adoption Interest in Using Digital Wallet in Central Jakarta ( Case Study on Go-Pay Users ).” International Journal of Multicultural and Multireligious Understanding 7(2): 277–86. https://ijmmu.com/index.php/ijmmu/article/download/1463/1159.

Kevin Anarjia, Jones Z. Rante. 2018. “Pengaruh Persepsi Manfaat Dan Persepsi Kemudahan Penggunaan Terhadap Minat Menggunakan Layanan Uang Elektronik Sakuku Pt. Bank Central Asia, Tbk Kcu Cikarang.” Jurnal SISTEM INFORMASI 1(2): 1–7.

Kim, Changsu, Wen Li, and Dan J. Kim. 2015. “An Empirical Analysis of Factors Influencing M-Shopping Use.” International Journal of Human-Computer Interaction 31(12): 974–94.

Kim, Y., Choi, J., Park, Y., & Yeon, J. (2016). The adoption of mobile payment services for “Fintech”. International Journal of Applied Engineering Research, 11(2), 1058-1061.

Kim, Hee Woong, Hock Chuan Chan, and Sumeet Gupta. 2007. “Value-Based Adoption of Mobile Internet: An Empirical Investigation.” Decision Support Systems 43(1): 111–26.

Kumala, Debby Cynthia, Joshua Wilson Pranata, and Sienny Thio. 2020. “Pengaruh Perceived Usefulness, Perceived Ease of Use, Trust, Dan Security Terhadap Minat Penggunaan Gopay Pada Generasi X Di Surabaya.” Jurnal Manajemen Perhotelan 6(1): 19–29.

Kumar, Anup, Amit Adlakaha, and Kampan Mukherjee. 2018. “The Effect of Perceived Security and Grievance Redressal on Continuance Intention to Use M-Wallets in a Developing Country.” International Journal of Bank Marketing 36(7): 1170–89.

Lancelot Miltgen, Caroline, Aleš Popovič, and Tiago Oliveira. 2013. “Determinants of End-User Acceptance of Biometrics: Integrating the ‘Big 3’ of Technology Acceptance with Privacy Context.” Decision Support Systems 56(1): 103–14.

Lavenia, Binti Clara, Mohammad Iqbal, and Ari Irawan. 2018. “Pengaruh Technology Acceptance Model (Tam) Dan Electronic Word Of Mouth (Ewom) Terhadap Kepuasan Pelanggan (Survei Pada Pelanggan Go-Jek Di Kota Kediri).” Jurnal Administrasi Bisnis 60(3): 52–61.

Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. Journal of Strategic Information Systems, 14(3), 245–268. https://doi.org/10.1016/j.jsis.2005.07.003

Madan, Khushbu, and Rajan Yadav. 2016. “Behavioural Intention to Adopt Mobile Wallet: A Developing Country Perspective.” Journal of Indian Business Research 8(3): 227–44.

Mehra, Aashish, Justin Paul, and Rahul Pratap Singh Kaurav. 2020. “Determinants of Mobile Apps Adoption among Young Adults: Theoretical Extension and Analysis.” Journal of Marketing Communications 00(00): 1–29. https://doi.org/10.1080/13527266.2020.1725780.

Moslehpour, Massoud, Van Kien Pham, Wing Keung Wong, and Ismail Bilgiçli. 2018. “E-Purchase Intention of Taiwanese Consumers: Sustainable Mediation of Perceived Usefulness and Perceived Ease of Use.” Sustainability (Switzerland) 10(1).

Nidhi singh, Shalini Srivastava, Neena Sinha. 2017. “Consumer Preference and Satisfaction of M-Wallets: A Study on North Indian Consumers.” International Journal of Bank Marketing 12(7): 1–32.

Purwanto, Sugeng, Sri Hartini, and Gancar Candra Premananto. 2019. “Understanding Consumer Intention to Use Go-Pay: Development and Testing of Technology Acceptance Models for Consumers.” Eksis 14(1).

Rif’ah, Sifwatir Rif’ah. 2019. “Fenomena Cashless Society Di Era Milenial Dalam Perspektif Islam.” Al-Musthofa: Journal of Sharia Economics 2(February): 1–9.

Routray, Susmi, Reema Khurana, Ruchi Payal, and Rakesh Gupta. 2019. “A Move towards Cashless Economy: A Case of Continuous Usage of Mobile Wallets in India.” Theoretical Economics Letters 09(04): 1152–66.

Samudra, M. S., & Phadtare, M. (2012). Factors Influencing The Adoption Of Mobile Banking With Special Reference To Pune City. Asci Journal Of Management , 42 (1), 5165.

Sharma, Sujeet Kumar, Sachin Kumar Mangla, Sunil Luthra, and Zahran Al-Salti. 2018. “Mobile Wallet Inhibitors: Developing a Comprehensive Theory Using an Integrated Model.” Journal of Retailing and Consumer Services 45(June): 52–63. https://doi.org/10.1016/j.jretconser.2018.08.008.

Salmony, M. (2014). Access to accounts: why banks should embrace an open future. Journal of Payments Strategy & Systems, 8(2), 169–170.

Sarwono J. 2016. Membuat Skripsi, Tesis dan Disertasi dengan Partial Least Square SEM (PLS - SEM). Yogyakarta. Penerbit Andi.

Setiani, Rahayu. (2018). Faktor- Faktor Yang Mempengaruhi Penggunaan Alat Pembayaran Non Tunai (Studi di Kota Purbalingga). Yogyakarta: Unviersitas Islam Indonesia. Skripsi.

Singh, Nidhi, Neena Sinha, and Francisco J. Liébana-Cabanillas. 2020. “Determining Factors in the Adoption and Recommendation of Mobile Wallet Services in India: Analysis of the Effect of Innovativeness, Stress to Use and Social Influence.” International Journal of Information Management 50(October 2018): 191–205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022.

Sunny, Prajod. 2018. “Determinants of Behavioral Intention To Use Mobile Wallets--a Conceptual Model.” Journal of Management (JOM) 5(5): 52–62.

Venkatesh, Viswanath, G. Morris, Michael, Gordon B. Davis, and Fred D. Davis. 2016. “USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW.” Inorganic Chemistry Communications 67(3): 95–98.

Welly, Yerisma, Supitriyani, Yusnaini, and Acai Sudirman. 2020. “Factors of Using Non-Cash Payments to the Consumption Level of Students.” 7(1): 61–68.

Wong, Wai Han, and Wing Ying Mo. 2019. “A Study of Consumer Intention of Mobile Payment in Hong Kong, Based on Perceived Risk, Perceived Trust, Perceived Security and Technological Acceptance Model.” Journal of Advanced Management Science 7(2): 33–38.

Wonglimpiyarat, Jarunee Wonglimpiyarat. 2017. “FinTech Banking Industry: A Systemic Approach.” Foresight 19(6): 590–603.

Xu, Xiaoyu et al. 2017. “The Impact of Informational Incentives and Social Influence on Consumer Behavior during Alibaba’s Online Shopping Carnival.” Computers in Human Behavior 76: 245–54.

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Published

2020-10-12