ENCOURAGING BEHAVIORAL INTENTION TO USE MOBILE PAYMENT: AN EXTENSION OF UTAUT2
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Abstract
Tujuan dari penelitian ini adalah untuk menganalisa faktor-faktor yang mempengaruhi minat menggunakan aplikasi pembayaran bergerak. Secara khusus, peneliti mengembangkan UTAUT2 (Unified Theory of Acceptance and Use of Technology) dengan menambahkan factor Persepsi Keamanan dan Kepercayaan untuk dapat menjelaskan variable endogenous pada penelitian ini dengan lebih baik. Sampel pada penelitian ini dibatasi pada pengguna sebuah brand pembayaran bergerak di daerah Jabodetabek, dengan data yang didapatkan melalui kuesioner online (n=144). Data pada penelitian ini diuji dengan menggunakan metode penelitian kuantitatif dengan menjalankan analisa SEM-PLS. Penelitian ini menemukan bahwa Pengaruh Sosial, Motivasi Keduniawian, dan Kepercayaan mempengaruhi Minat Menggunakan secara signifikan dan langsung, sedangkan Ekspektasi Usaha, Persepsi Keamanan, dan Ekspektasi Kinerja memiliki pengaruh tidak langsung terhadap Minat Menggunakan. Adjusted R2 dari variabel endogenous Minat Menggunakan pada penelitian ini adalah 71.6%. Hasil dari penelitian ini memberikan kontribusi pada diskusi yang sedang berjalan terkait dengan penggunaan pembayaran bergerak sebagai ‘disruptor digital’ di masa mendatang dengan menambahkan dua variabel penting terkait privasi pengguna.
The objective of this research is to analyze the antecedents of Behavioral Intention to use mobile payment platform. Specifically, the researchers expanded on UTAUT2 (Unified Theory of Acceptance and Use of Technology) by incorporating Perceived Security and Trust to better explain the endogenous variable. The sample of this study was limited to the users of mobile payment platforms in the Greater Jakarta area, and the data were collected using online questionnaires (n=144). The data in this study were examined using quantitative research by utilizing the SEM-PLS analysis. This research found that Social Influence, Hedonic Motivation, and Trust directly and significantly affected Behavioral Intention, while Effort Expectancy, Perceived Security, and Performance Expectancy had an indirect relationship with Behavioral Intention. Finally, the adjusted R2 of Behavioral Intention in this study is 71.6%. The results of this study contributed to the ongoing discussion on mobile payment adoption as the next digital disruptor by incorporating two important user privacy constructs.
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References
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Aydin, G., & Burnaz, S. (2016). Adoption of mobile payment systems: A study on mobile wallets. Journal of Business, Economics and Finance, 5(1), 73–92. https://doi.org/10.17261/pressacademia.2016116555
Basari, M. T. (2019). Setahun, Jumlah Pengguna Internet Indonesia Bertambah 17 Juta - Teknologi Bisnis.com. Retrieved March 30, 2020, from https://teknologi.bisnis.com/read/20190228/101/894799/setahun-jumlah-pengguna-internet-indonesia-bertambah-17-juta
Boes, K., Borde, L., & Egger, R. (2015). The Acceptance of NFC Smart Posters in Tourism. In eTourism: Transforming Mobility.
Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368. https://doi.org/10.1108/09576050210447046
Davies, N., Taft, N., Satyanarayanan, M., Clinch, S., & Amos, B. (2016). Privacy Mediators: Helping IoT cross the chasm (pp. 39–44). Association for Computing Machinery (ACM). https://doi.org/10.1145/2873587.2873600
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Elgin, C. (2013). Internet usage and the shadow economy: Evidence from panel data. Economic Systems, 37(1), 111–121. https://doi.org/10.1016/j.ecosys.2012.08.005
Fan, J., Shao, M., Li, Y., & Xuemei, H. (2017). Understanding users’ attitude toward mobile payment use: a comparative study. Industrial Management & Data Systems, 118(3), 524–540. https://doi.org/10.1108/IMDS-06-2017-0268
Garson, G. D. (2016). Partial Least Squares: Regression & Structural Equation Models. Asheboro, NC: Statistical Associates Publishing.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis. Andover, Hampshire: Cengage Learning.
Hwang, R. J., Shiau, S. H., & Jan, D. F. (2007). A new mobile payment scheme for roaming services. Electronic Commerce Research and Applications, 6(2), 184–191. https://doi.org/10.1016/j.elerap.2006.07.002
Jati, N. J., & Laksito, H. (2012). Analisis Faktor-Faktor yang Mempengaruhi Minat Pemanfaatan dan Penggunaan Sistem E-Ticket (Studi Empiris pada Biro Perjalanan di Kota Semarang). Diponegoro Journal of Accounting, 1(1), 1–15.
Junadi, & Sfenrianto. (2015). A Model of Factors Influencing Consumer’s Intention to Use E-payment System in Indonesia. In Procedia Computer Science (Vol. 59, pp. 214–220). Elsevier. https://doi.org/10.1016/j.procs.2015.07.557
Kaczmarek, L. D., & Mickiewicz, A. (2017). Hedonic Motivation. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences. Basel: Springer.
Katadata.co.id. (2018). Wajib Registrasi, Pelanggan Seluler Indosat Menyusut 34% | Databoks. Retrieved March 30, 2020, from https://databoks.katadata.co.id/datapublish/2018/11/19/wajib-registrasi-pelanggan-seluler-indosat-menyusut-34
Katadata.co.id. (2019). LinkAja, Koalisi 7 BUMN Saingi Go-Pay dan OVO - Infografik Katadata.co.id. Retrieved March 31, 2020, from https://katadata.co.id/infografik/2019/03/11/linkaja-koalisi-7-bumn-saingi-go-pay-dan-ovo
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013
Lancelot Miltgen, C., Popovi?, A., & Oliveira, T. (2013). Determinants of end-user acceptance of biometrics: Integrating the “big 3” of technology acceptance with privacy context. Decision Support Systems, 56(1), 103–114. https://doi.org/10.1016/j.dss.2013.05.010
Lean, O. K., Zailani, S., Ramayah, T., & Fernando, Y. (2009). Factors influencing intention to use e-government services among citizens in Malaysia. International Journal of Information Management, 29(6), 458–475. https://doi.org/10.1016/j.ijinfomgt.2009.03.012
Lu, H. P., & Su, P. Y. J. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19(4), 442–458. https://doi.org/10.1108/10662240910981399
Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information and Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006
Martins, C., Oliveira, T., & Popovi?, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Matos, C. A. de, & Krielow, A. (2019). The effects of environmental factors on B2B e-services purchase: perceived risk and convenience as mediators. Journal of Business and Industrial Marketing, 34(4), 767–778. https://doi.org/10.1108/JBIM-12-2017-0305
Megadewandanu, S., Suyoto, & Pranowo. (2017). Exploring mobile wallet adoption in Indonesia using UTAUT2: An approach from consumer perspective. Proceedings - 2016 2nd International Conference on Science and Technology-Computer, ICST 2016, 11–16. https://doi.org/10.1109/ICSTC.2016.7877340
Multazam, M. (2019). Terlena Dompet Digital. Retrieved March 30, 2020, from https://news.detik.com/kolom/d-4463578/terlena-dompet-digital
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(2016), 404–414. https://doi.org/10.1016/j.chb.2016.03.030
Pertiwi, W. K. (2019). T-Cash Berubah Jadi LinkAja Mulai Hari Ini. Retrieved March 31, 2020, from https://tekno.kompas.com/read/2019/02/22/09120087/t-cash-berubah-jadi-linkaja-mulai-hari-ini
Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37–54. https://doi.org/10.1108/APJBA-10-2014-0119
Popovska-Kamnar, N. (2014). The use of electronic money and its impact on monetary policy. Journal of Contemporary Economic and Business Issues, 1(2), 79–92. Retrieved from http://hdl.handle.net/10419/147460
Ramos, F. L., Ferreira, J. B., De Freitas, A. S., & Rodrigues, J. W. (2018). The effect of trust in the intention to use m-banking. Brazilian Business Review, 15(2), 175–191. https://doi.org/10.15728/bbr.2018.15.2.5
Roca, J. C., García, J. J., & de la Vega, J. J. (2009). The importance of perceived trust, security and privacy in online trading systems. Information Management and Computer Security, 17(2), 96–113. https://doi.org/10.1108/09685220910963983
Saha, G. C., & Theingi. (2009). Service quality, satisfaction, and behavioural intentions: A study of low-cost airline carriers in Thailand. Managing Service Quality, 19(3), 350–372. https://doi.org/10.1108/09604520910955348
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. https://doi.org/10.1016/j.elerap.2009.07.005
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons, Ltd.
Shah, M. H., Peikari, H. R., & Yasin, N. M. (2014). The determinants of individuals’ perceived e-security: Evidence from Malaysia. International Journal of Information Management, 34(1), 48–57. https://doi.org/10.1016/j.ijinfomgt.2013.10.001
Sheikh, Z., Islam, T., Rana, S., Hameed, Z., & Saeed, U. (2017). Acceptance of social commerce framework in Saudi Arabia. Telematics and Informatics, 34(8), 1693–1708. https://doi.org/10.1016/j.tele.2017.08.003
Shiau, H. C. (2014). The impact of product innovation on behavior intention: The measurement of the mediating effect of the brand image of Japanese anime dolls. Anthropologist, 17(3), 777–788. https://doi.org/10.1080/09720073.2014.11891492
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 32(8), 860–873. https://doi.org/10.1002/mar.20823
Sobti, N. (2019). Impact of demonetization on diffusion of mobile payment service in India: Antecedents of behavioral intention and adoption using extended UTAUT model. Journal of Advances in Management Research, 16(4), 472–497. https://doi.org/10.1108/JAMR-09-2018-0086
Suh, B., & Han, I. (2003). The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce. International Journal of Electronic Commerce, 7(3), 135–161. Retrieved from http://mesharpe.metapress.com/index/925wunk9efe9n95a.pdf%5Cnpapers3://publication/uuid/44CFEC88-C9E5-443D-AE9C-7D1E8898921E
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon. Information Technology & People, 29(4), 830–849. https://doi.org/10.1108/itp-02-2014-0034
Teo, T., Zhou, M., Fan, A. C. W., & Huang, F. (2019). Factors that influence university students’ intention to use Moodle: a study in Macau. Educational Technology Research and Development, 67(3), 749–766. https://doi.org/10.1007/s11423-019-09650-x
Van Der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695–704. https://doi.org/10.2307/25148660
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412
Widyastuti, K., Handayani, P. W., Pinem, A. A., & Wilarso, I. (2017). e-Money Implementation Barriers and Challenges: A Case of Indonesia Interbank Network Company. Journal of Engineering and Applied Sciences, 12(12), 3281–3285. https://doi.org/10.36478/jeasci.2017.3281.3285
Wijoseno, J., & Ariyanti, M. (2017). Perceived Factors Influencing Consumer Trust and Its Impact on Online Purchase Intention in Indonesia. International Journal of Science and Research, 6(8), 961–968. https://doi.org/10.21275/8081706
Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013