Pengaruh Risiko Finansial dan Risiko Privasi terhadap Niat Pengadopsian Dompet Digital pada Generasi X di Kota Semarang
Abstract
Digital wallet adoption in Generation X is quite low, compare to another productive generations. Gen X is a classified demographic of people which born in the 1965 until 1980 with mature financial level. The research is designed to describe the influence of financial risk and privacy risk to intention to use digital wallet of generation X in Semarang. The samples of this research was 103 respondents who have met the criteria such as live in Semarang and have never used digital wallets. Samples were obtained with purposive sampling-non probability and created with multiple linear regression analysis using SPSS Statistics 21.0. The result showed that financial risk have no partial effect on Generation X’s intention to use digital wallet, while privacy risk have partial effect. Otherwise, financial risk and privacy risk were found to have a simultaneous effect on intention to use digital wallet.
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Abegao Neto, F. L., & Figueiredo, J. C. B. de. (2022). Effects of age and income moderation on adoption of mobile payments in Brazil. Innovation and Management Review. https://doi.org/10.1108/INMR-06-2021-0109
Alkire (née Nasr), L., O’Connor, G. E., Myrden, S., & Köcher, S. (2020). Patient experience in the digital age: An investigation into the effect of generational cohorts. Journal of Retailing and Consumer Services, 57(August). https://doi.org/10.1016/j.jretconser.2020.102221
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62(January), 101293. https://doi.org/10.1016/ j.techsoc.2020.101293
Bank Indonesia. (2014). Elektronifikasi. https://www.bi.go.id/id/fungsi-utama/sistem-pembayaran/ritel/elektronifikasi/default.aspx#:~:text= Definisi%20elektronifikasi,yang%20dicanangkan%20oleh%20Bank%20Indonesia.
Boku. (2021). 2021 Mobile Wallets Report. 74. https://boku.mobilewallet.report/
Calvo-Porral, C., & Pesqueira-Sanchez, R. (2020). Generational differences in technology behaviour: comparing millennials and Generation X. Kybernetes, 49(11), 2755–2772. https://doi.org/10.1108/K-09-2019-0598
Cox, D. (1967). Risk taking and information handling in consumer behavior. Division of Research Graduate School of Business Administration Harvard University.
Cunningham, S.M. (1967). The Major Dimensions of Perceived Risk. In Cox, D.F., Ed., Risk Taking and Information Handling in Consumer Behavior, Harvard University Press, Boston, MA. - References - Scientific Research Publishing. (n.d.). Retrieved March 8, 2022, from https://www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=1899731
Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. https://doi.org/10.1016/j.jbef.2021.100574
Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covid-19 pandemic: Integrating the health belief model (hbm) and technology continuous theory (tct). Journal of Open Innovation: Technology, Market, and Complexity, 7(2). https://doi.org/10.3390/joitmc7020132
Dowling, G. R. (1986). Perceived risk: The concept and its measurement. Psychology & Marketing, 3(3), 193–210. https://doi.org/10.1002/mar.4220030307
Dwivedi, A., & Johnson, L. W. (2013). Trust-Commitment as a Mediator of the Celebrity Endorser - Brand Equity Relationship in a Service Context. Australasian Marketing Journal, 21(1), 36–42. https://doi.org/10.1016/j.ausmj.2012.10.001
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Ghozali, Imam. 2018. Aplikasi Analisis Multivariate dengan Program IBM SPSS 25 Edisi 9. Semarang: Badan Penerbit Universitas Diponegoro.
Lau, G. T., & Lee, S. H. (1999). Consumers ’ Trust in a Brand and the Link to Brand Loyalty. Journal of Market - Focused Management, 4(4), 341–370.
Lemeshow, S., Hosmer Jr, D.W., Klar, J., dan Lwanga, S.K. 1997. Besar Sampel Dalam Penelitian Kesehatan. Yogyakarta : Gadjah Mada University Press
Leong, L. Y., Hew, T. S., Ooi, K. B., & Wei, J. (2020). Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach. International Journal of Information Management, 51(November), 102047. https://doi.org/10.1016/j.ijinfomgt.2019.102047
Liébana-Cabanillas, F., García-Maroto, I., Muñoz-Leiva, F., & Ramos-de-Luna, I. (2020). Mobile payment adoption in the age of digital transformation: The case of apple pay. Sustainability (Switzerland), 12(13), 1–15. https://doi.org/10.3390/su12135443
Liébana-Cabanillas, F., Japutra, A., Molinillo, S., Singh, N., & Sinha, N. (2020). Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India. Telecommunications Policy, 44(9). https://doi.org/10.1016/j.telpol.2020.102009
Moorthy, K., Chun T’ing, L., Chea Yee, K., Wen Huey, A., Joe In, L., Chyi Feng, P., & Jia Yi, T. (2019). What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance and Economics, 25(3), 349–364. https://doi.org/10.1002/ijfe.1756
Pal, A., Herath, T., De’, R., & Rao, H. R. (2021). Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage. Information Systems Frontiers, 23(4), 941–961. https://doi.org/10.1007/s10796-020-10070-z
Priyatno, Duwi. 2013. Analisis Korelasi, Regresi dan Multivariate dengan SPSS. Yogyakarta : Gava Media
Schmidthuber, L., Maresch, D., & Ginner, M. (2020). Disruptive technologies and abundance in the service sector - toward a refined technology acceptance model. Technological Forecasting and Social Change, 155(June), 1–11. https://doi.org/10.1016/j.techfore.2018.06.017
Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (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
Susanto, P., Hoque, M. E., Hashim, N. M. H. N., Shah, N. U., & Alam, M. N. A. (2020). Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-05-2019-0382
Tan, G. W. H., Ooi, K. B., Chong, S. C., & Hew, T. S. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31(2), 292–307. https://doi.org/10.1016/j.tele.2013.06.002
Teoh, T. T., Melissa, Hoo, C. Y., & Lee, T. H. (2020). E-Wallet Adoption: a Case in Malaysia. International Journal of Research in Commerce and Management Studies, 2(4), 135–3.
Valencia, S., Bautista, R., & Jeong, L. S. (2021). Know your customers: How generations x and y perceive mobile payment. DLSU Business and Economics Review, 31(1), 16–28.
Wei, M. F., Luh, Y. H., Huang, Y. H., & Chang, Y. C. (2021a). Young generation’s mobile payment adoption behavior: Analysis based on an extended utaut model. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1–20. https://doi.org/10.3390/jtaer16040037
Wei, M. F., Luh, Y. H., Huang, Y. H., & Chang, Y. C. (2021b). Young generation’s mobile payment adoption behavior: Analysis based on an extended utaut model. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1–20. https://doi.org/10.3390/jtaer16040037
Xavier, P. S., & Zakkariya, K. A. (2021). Factors Predicting Consumers’ Continuance Intention to Use Mobile Wallets: Evidence from Kerala, India. Colombo Business Journal, 12(1), 114. https://doi.org/10.4038/cbj.v12i1.73
Xie, J., Ye, L., Huang, W., & Ye, M. (2021). Understanding fintech platform adoption: Impacts of perceived value and perceived risk. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1893–1911. https://doi.org/10.3390/jtaer16050106
DOI: https://doi.org/10.24167/jemap.v6i2.10576
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