References
- Agusta, J., & Hutabarat, K. (2019). Mobile payment in Indonesia. MDI Ventures and Mandiri Sekuritas.
- Al Khasawneh, M. (2015). An empirical examination of consumer adoption of mobile banking (M-Banking) in Jordan. Journal of Internet Commerce, 14(3), 341–18. https://doi.org/10.1080/15332861.2015.1045288
- APJII. (2018). Penetrasi dan Profil Perilaku Pengguna Internet Indonesia: Survey 2018.
- Azizah, N., Handayani, P. W., & Azzahro, F. (2018). Factors Influencing Continuance Usage of Mobile Wallets in Indonesia. 2018 International Conference on Information Management and Technology (ICIMTech) (pp. 92–97). Jakarta : IEEE doi:10.1109/ICIMTech.2018.8528157
- Baabdullah, M. A., Alalwan, A. A., Rana, N. P., & Kizgin, H. (2018). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38–52. https://doi.org/10.1016/j.ijinfomgt.2018.09.002
- Bahri, S., & Zamzam, F. (2014). Model Penelitian Kuantitatif Berbasis SEM-AMOS. Deepublish.
- Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024
- Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
- Byrne, B. M. (2016). Structural Equation Modeling with Amos. Routledge.
- Cabanillas, F. J., & Fernandez, J. S. (2014). Role of gender on acceptance of mobile payment. Industrial Management & Data Systems, 114(2), 220–240. https://doi.org/10.1108/IMDS-03-2013-0137
- Cao, X., Yu, L., Liu, Z., Gong, M., & Adeel, L. (2018). Understanding mobile payment users’ continuance intention: Atrust transfer perspective. Internet Research, 28(2), 456–476. https://doi.org/10.1108/IntR-11-2016-0359
- Carbó-Valverde, S., & Liñares-Zegarra, J. (2011). How effective are rewards programs in promoting payment card usage? Empirical evidence. Journal of Banking & Finance, 35(12), 3275–3291. https://doi.org/10.1016/j.jbankfin.2011.05.008
- Chakraborty, S., & Mitra, D. (2018). A Study on Consumers’ Adoption Intention for Digital Wallets in Indonesia. International Journal on Customer Relations, 6(1), 38–56. https://search.proquest.com/docview/2024116193?accountid=44927
- Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. https://doi.org/10.1108/IJBM-09-2018-0256
- Creswell, C. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE Publications.
- DS Research, & BRI. (2019). Fintech Report 2019 : Moving Towards A New Era In Indonesia's Financial Industry. Jakarta: DS Research & BRI
- Fan, J., Shao, M., Li, Y., & Huang, X. (2018). Understanding users’ attitude toward mobile payment use: A comparative study between China and the USA. Industrial Management & Data Systems, 118(3), 524–540. https://doi.org/10.1108/IMDS-06-2017-0268
- Ghezzi, A., Renga, F., Balocco, R., & Pescetto, P. (2010). Mobile payment applications: Offer state of the art in the Italian market. info, 12(5), 3–22. https://doi.org/10.1108/14636691011071130
- Hair, J., Black, W., Babin, B., & Anderson, R. (2009). Multivariate Data Analysis. Prentice Hall.
- Hofstede, G. (1984). Culture’s consequences: International differences in work-related values. SAGE Publications.
- Humbani, M., & Wiese, M. (2019). An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing, 37(2), 646–664. https://doi.org/10.1108/IJBM-03-2018-0072
- Hunafa, K., Hidayanto, A. N., & Sandhy, P. (2017). Investigating Mobile Payment Acceptance Using Technological- Personal-Environmental (TPE) Framework: A Case of Indonesia. 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS), (pp. 159–165). Bali : IEEE doi:10.1109/ICACSIS.2017.8355027
- Indonesia, B. (2019, May 27). Bank Indonesia Paparkan 5 Visi Sistem Pembayaran Indonesia 2025. Siaran Pers Bank Indonesia. https://www.bi.go.id/id/ruang-media/siaran-pers/Pages/SP_214019.aspx
- Jiang, Y., & Lai, F. (2010). Technological-Personal-Environmental (TPE) Framework: A Conceptual Model for Technology Acceptance at the Individual Level. Journal of International Technology and Information Management, 19(3), 89–98. https://scholarworks.lib.csusb.edu/jitim/vol19/iss3/5
- Karsen, M., Chandra, Y. U., & Juwitasary, H. (2019). Technological Factors of Mobile Payment: A Systematic Literature Review. 4th International Conference on Computer Science and Computational Intelligence 2019. 157, pp. 489–498. Yogyakarta: Procedia Computer Science 157 doi:10.1016/j.procs.2019.09.004
- Khayer, A., & Bao, Y. (2019). The continuance usage intention of Alipay: Integrating context-awareness and technology continuance theory (TCT). The Bottom Line, 32(3), 211–229. https://doi.org/10.1108/BL-07-2019-0097
- Leiva, F. M., Climent, S. C., & Cabanillas, F. L. (2017). Determinants of Intention to Use the Mobile Banking Apps: An Extension of the Classic TAM Model. Spanish Journal of Marketing - ESIC, 21(1), 25–38.https://doi.org/10.1016/j.sjme.2016.12.001
- Lewis, K., Nicole, P., Adrian, M., & Alexander. (2010). Predicting young consumers’ take up of mobile banking services. International Journal of Bank Marketing, 28(5), 410–432. https://doi.org/10.1108/02652321011064917
- Liao, C., Palvia, P., & Chen, J.-L. (2009). Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT). International Journal of Information Management, 29(4), 309–320. https://doi.org/10.1016/j.ijinfomgt.2009.03.004
- Lin, H-F.. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust.International Journal of Information Management.2010(07). doi:10.1016/j.ijinfomgt.2010.07.006
- Liu, Y., & Li, H. (2011). Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China. Computers in Human Behavior, 27(2), 163–181. https://doi.org/10.1016/j.chb.2010.11.014
- Luarn, P., & Lin, H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891. doi:10.1016/j.chb.2004.03.003
- Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 8(3), 227–244. https://doi.org/10.1108/JIBR-10-2015-0112
- Mohammadi, H. (2015). A study of mobile banking usage in Iran. International Journal of Bank Marketing, 33(6), 733–759. https://doi.org/10.1108/IJBM-08-2014-0114
- Mouakket, S., & Bettayeb, A. (2015). Investigating the factors influencing continuance usage intention of learning management systems by university instructors. International Journal of Web Information Systems, 11(4), 1–24. https://doi.org/10.1108/IJWIS-03-2015-0008
- Nugroho, A. (2017, February 14). Financial Technology, Solusi Menjangkau Unbanked People Indonesia. Kompasiana: https://www.kompasiana.com/nodiharahap/58a2fcc7d47e61f33dbdfd0a/financial-technology-solusi-menjangkau-unbanked-people-indonesia
- Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
- Ozturk, A., Bilgihan, A., Esfahani, S., & Hua, N. (2016). Understanding the mobile payment technology acceptance based on valence theory. International Journal of Contemporary Hospitality Management, 29(8), 2027–2049. https://doi.org/10.1108/IJCHM-04-2016-0192
- Ozturk, A., Bilgihan, A., Esfahani, S., & Hua, N. (2017). Understanding the mobile payment technology acceptance based on valence theory. International Journal of Contemporary Hospitality Management, 29(8), 2027–2049. https://doi.org/10.1108/IJCHM-04-2017-0192
- Park, J., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing and Consumer Services, 47, 140–149. https://doi.org/10.1016/j.jretconser.2018.11.015
- Pham, -T.-T.-T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159–172. https://doi.org/10.1016/j.techsoc.2015.05.004
- PricewaterhouseCoopers. (2019) . Global consumer insights survey.
- Revels, J., Tojib, D., & Tsarenko, Y. (2010). Understanding consumer intention to use mobile services. Australasian Marketing Journal (AMJ), 18(2), 74-80. https://doi.org/10.1016/j.Australasian Marketing Journal (AMJ).
- Sahu, G., & Singh, N. (2018). Identifying Critical Success Factor (CSFs) for the Adoption of Digital Payment Systems: A Study of Indian National Banks. Emerging Markets from a Multidisciplinary Perspective, 61–73. https://doi.org/10.1007/978-3-319-75013-2_6
- Santoso, S. (2018). Konsep Dasar dan Aplikasi SEM dengan AMOS 24. Elex Media Komputindo.
- Shao, Z., Zhang, L., Li, X., & Guo, Y. (2019). Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. Electronic Commerce Research and Applications, 33, 100823. https://doi.org/10.1016/j.elerap.2018.100823
- Shaw, B., & Kesharwani, A. (2019). Moderating Effect of Smartphone Addiction on Mobile Wallet Payment Adoption. Journal of Internet Commerce, 18(3), 291–309. https://doi.org/10.1080/15332861.2019.1620045
- Sierzchula, W., Bakker, S., Maat, K., & Van Wee, B. (2014). The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy, 68, 183–194. https://doi.org/10.1016/j.enpol.2014.01.043
- Singh, S., & Srivastava, R. (2014). Factors Influencing the adoption of mobile banking in India. International Journal of E-Services and mobile applications, 6(4), 1–15. https://doi.org/10.4018/ijesma.2014100101
- Sundqvist, S., Frank, L., & Puumalainen, K. (2005). The effects of country characteristics, cultural similarity and adoption timing on the diffusion of wireless communications. Journal of Business Research, 58(1), 107–110. https://doi.org/10.1016/S0148-2963(02)00480-0
- Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538–562. https://doi.org/10.1108/IntR-05-2016-0117
- Ting, H., Yacob, Y., Liew, L., & Lau, W. M. (2016). Intention to Use Mobile Payment System: A Case of Developing Market by Ethnicity. Procedia - Social and Behavioral Sciences, 224(5). https://doi.org/10.1016/j.sbspro.2016.05.390
- We Are Social & Hootsuite. (2019). Digital 2019: Indonesia. We are social.
- Wijanto, S. (2015). Metode Penelitian Menggunakan Structural Equation Modeling dengan Lisrel 9. Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia.
- Yu, C. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104–121. http://www.jecr.org/node/48
- Zhang, A., Yue, X., & Kong, Y. (2011). Exploring Culture Factors Affecting the Adoption of Mobile Payment. International Conference on Mobile Business (pp. 263–267). Como : IEEE doi:10.1109/ICMB.2011.32
- Zhao, H., Anong, S. T., & Lini, Z. (2018). Understanding the impact of financial incentives on NFC mobile payment adoption. International Journal of Bank Marketing, 37(5), 1296–1312. https://doi.org/10.1108/IJBM-08-2018-0229
- Zhu, S., & Chen, J. (2016). E-commerce use in urbanising China: the role of normative social influence. Behaviour & Information Technology, 35(5), 357–367. https://doi.org/10.1080/0144929X.2016.1160286