Main Article Content
Abstract
This Study aims to determine the factors that influence users in using digital payment in transactions. The Unified Theory of Acceptance and Use of Technology (UTAUT) is used as a research model with independent variables: performance expectations,effort expectancy, facility conditions, social influence and extend UTAUT research model with trust and perceived innovativeness. This study also changes the relationship between the influence of intention to use E-WOM and Loyalty.This research method uses an online survey method that is distributed using Google Surveys. The research data were collected from 355 digital payment users of Indonesia private banks who had the experience of using digital payment. The structural equation modeling technique was used to test the research hypotheses. Primary data collected were analyzed using SmartPLS software. Findings suggest that performance expectancy, facilitating conditions, trust, perceived innovativeness factor in influencing the digital payment adoption intention. effort expectancy, social influence, do not have a effect on behavioral intentions. On the other hand, digital payment adoption intention has also had a significant positive effect on loyalty and word-of-mouth (WOM). This study contributes to the literature on digital payment services and usage behavior. This research can provide an overview for banking and non-bank financial services to always maintain the quality of digital payment applications so that they always provide benefits to improve performance, effectiveness and also productivity for those who use them. And innovate and also develop new features in digital payment applications in order to attract public attention. From theoretical and managerial aspects, this study has particular value for the literature on digital payment intention in general and banking in particular. The present study provides a conceptual framework for digital payment M-banking adoption intention, which could be used in digital services. In addition, this study sought to extend UTAUT and to examine the behavior intention in WOM and Loyalty.
Keywords: Digital Payment, WOM, Loyalty, UTAUT, behavior intention , digital payment adoption Paper type Research paper
Keywords
Article Details
Copyright (c) 2023 Alien Arianita, izar Alfansi, Sularsih Anggarawati

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
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- Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
- Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361–391.
- Agarwal, R., and Karahanna, E.(2000). "Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Infor- mation Technology Usage," MIS Quarterly (24:4) erly (24:4).pp 665-694
- Alfansi, L(2016). Pemasaran jasa finansial. Jakarta, Indonesia : Salemba Empat.
- Alfansi, L., & Daulay, M. Y. I. (2021). Factor affecting the use of e-money in millennial generation: Research model UTAUT 2. Jurnal Manajemen Dan Pemasaran Jasa, 14(1), 109–122. https://doi.org/10.25105/jmpj.v14i1.8212
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- Carter, L and Belanger, F ‘Diffusion of Innovation and Citizen Adoption of E-Government Services’ The Proceedings of the First International E-Services Workshop Vol 1 No 1 (September 2003) pp 57-63.
- Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods 12th Edition. In Business Research Methods
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- Gupta, K., & Arora, N. (2020). Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies, 9(1), 88–114. https://doi.org/10.1108/SAJBS-03-2019-0037
- Goularte, A. da C., & Zilber, S. N. (2019). The moderating role of cultural factors in the adoption of mobile banking in Brazil. International Journal of Innovation Science, 11(1), 63–81. https://doi.org/10.1108/IJIS-11-2017-0119
- Ghozali, Imam. 2012. Aplikasi Analisis Multivariate dengan Program IBM SPSS. Yogyakarta: Universitas Diponegoro
- Ghozali, I. (2014). Structrural equation modeling metode alternatif dengan PLS. Se-marang: Universitas Diponegoro. Ghozali, I., & Latan, H. (2015). Partial least squares: Konsep, teknik, dan aplikasi menggunakan program smart PLS 3.0 (2nd ed.)
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- Justino Aji Charisma, & Nur Asnawi. (2021). Memprediksi Niat Perilaku Terhadap E-Wallet : Mengintegrasikan Budaya Dalam Rangka Utaut 2 (Dua). An-Nisbah: Jurnal Perbankan Syariah, 2(1), 116–136. https://doi.org/10.51339/nisbah.v2i1.201
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- Puspitasari, A. A., & Salehudin, I. (2022). Quick Response Indonesian Standard (QRIS): Does Government Support Contribute to Cashless Payment System Long-term Adoption? Journal of Marketing, 1(March), 27–41. https://doi.org/10.35313/jmi.v1i2.29
- Sivathanu, B. (2018). Adoption of digital payment systems in the era of demonetization in India An empirical study. https://doi.org/10.1108/JSTPM-07-2017-003
- Tam, C., & Oliveira, T. (2015). Literature review of mobile banking and individual performance. International Journal of Bank Marketing, 35(7), 1044-1067. DOI: https://doi.org/10.1108/IJBM-09- 2015-0143
- Tusyanah, T., Wahyudin, A., & Khafid, M. (2021). Analyzing Factors Affecting the Behavioral Intention to Use e-Wallet with the UTAUT Model with Experience as Moderating Variable. Journal of Economic Education, 10(2), 113–123. http://journal.unnes.ac.id/sju/index.php/jeec
- Thakur, R., Angriawan, A., & Summey, J. H. (2016). Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness. Journal Journal of Business Research, 69(8), 2764–2773
- Karjaluoto, H., Shaikh, A. A., Saarijärvi, H., & Saraniemi, S. (2019). How perceived value drives the use of mobile financial services apps. International Journal of Information Management, 47(September 2017), 252–261. https://doi.org/10.1016/j.ijinfomgt.2018.08.014
- Khan, A., & Qutab, S. (2016). Understanding research students’ behavioural intention in the adoption of digital libraries. Library Review, 65(4/5), 295–319. https://doi.org/10.1108/LR-06-2015-0070
- Kim, S., Lee, K.-H., Hwang, H., & Yoo, S. (2015). Analysis of the factors influencing healthcare professionals’ adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital. BMC Medical Informatics and Decision Making, 16(1), 1–12. https://doi.org/10.1186/s12911-016-0249-8
- Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327-346.
- Kumar, D.S., Purani, K., Viswanathan, S.A., 2018. Influences of’appscape’on mobile app adoption and m-loyalty. J. Retailing Consum. Serv. 45, 132–141.
- Sharma, S. K., & Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65-75. https://doi.org/10.1016/j.ijinfomgt.2018.09.013.
- Shaikh, AA dan Karjaluoto, H. (2015), "Adopsi mobile banking: tinjauan literatur",Telematika dan Informatika,Jil. 32 No.1, hal.129-142.
- Srivastava, S. C., Chandra, S., & Theng, Y.-L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis. Communications of the Association for Information Systems, 27(1), 561–588.
- Le, M. T. H. (2021). Heliyon Examining factors that boost intention and loyalty to use Fintech post-COVID-19 lockdown as a new normal behavior. Heliyon, 7(August), e07821. https://doi.org/10.1016/j.heliyon.2021.e07821
- Lim, F.-W., Ahmad, F., Nizam, A., & Talib, B. A. (2019). Behavioural Intention towards Using Electronic Wallet: A Conceptual Framework in the Light of the Unified Theory of Acceptance and Use of Technology (UTAUT). Imperial Journal of Interdisciplinary Research (IJIR) Peer Reviewed-International Journal, 5(1), 79–86.
- Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393–403.
- Najib, M., & Fahma, F. (2020). Investigating the adoption of digital payment system through an extended technology acceptance model: An insight from the Indonesian small and medium enterprises. International Journal on Advanced Science, Engineering and Information Technology, 10(4), 1702–1708. https://doi.org/10.18517/ijaseit.10.4.11616
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- Vanduhe, V. Z., Nat, M., & Hasan, H. F. (2020). Continuance intentions to use gamification for training in higher education: Integrating the technology acceptance model (TAM), Social motivation, and task technology fit (TTF). IEEE Access, 8, 21473-21484. https://doi.org/10.1109/ACCESS.2020.2966179
- Venkatesh, V., Bala, H., 2008. Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39 (2), 273–315.
- Venkatesh, V., Brown, S.A., 2001. A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. Mis. Q. 71–102.
- 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., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178
- Yuan, S., Liu, L., Su, B., & Zhang, H. (2020). Determining the antecedents of mobile payment loyalty: Cognitive and affective perspectives. Electronic Commerce Research and Applications, 41(July 2019). https://doi.org/10.1016/j.elerap.2020.100971
- Wei, M. F., Luh, Y. H., Huang, Y. H., & Chang, Y. C. (2021). 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
References
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100–110. https://doi.org/10.1016/j.techsoc.2018.06.007
Ajzen, I. (1991), “Theory of planned behavior”, Retrieved February, Vol. 1, p. 2016, availavble at: http:// people.umass.edu/aizen/tpb.htm
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361–391.
Agarwal, R., and Karahanna, E.(2000). "Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Infor- mation Technology Usage," MIS Quarterly (24:4) erly (24:4).pp 665-694
Alfansi, L(2016). Pemasaran jasa finansial. Jakarta, Indonesia : Salemba Empat.
Alfansi, L., & Daulay, M. Y. I. (2021). Factor affecting the use of e-money in millennial generation: Research model UTAUT 2. Jurnal Manajemen Dan Pemasaran Jasa, 14(1), 109–122. https://doi.org/10.25105/jmpj.v14i1.8212
Ayaz, A., & Yanartaş, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports, 2(October). https://doi.org/10.1016/j.chbr.2020.100032
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.
Carter, L and Belanger, F ‘Diffusion of Innovation and Citizen Adoption of E-Government Services’ The Proceedings of the First International E-Services Workshop Vol 1 No 1 (September 2003) pp 57-63.
Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods 12th Edition. In Business Research Methods
Farzin, M., Sadeghi, M., Yahyayi Kharkeshi, F., Ruholahpur, H., & Fattahi, M. (2021). Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter? Asian Journal of Economics and Banking, 5(2), 136–157. https://doi.org/10.1108/ajeb-10-2020-0085
Gupta. P.K. Manrai. R. and Goek.U. (2019), “Factors influencing adoption of payments banks by Indian customers: Extending UTAUT with perceived credibility”, journal Of Asia Business Studies, https://doi.org/10.1108/JABS-07-2017-0111
Gupta, K., & Arora, N. (2020). Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies, 9(1), 88–114. https://doi.org/10.1108/SAJBS-03-2019-0037
Goularte, A. da C., & Zilber, S. N. (2019). The moderating role of cultural factors in the adoption of mobile banking in Brazil. International Journal of Innovation Science, 11(1), 63–81. https://doi.org/10.1108/IJIS-11-2017-0119
Ghozali, Imam. 2012. Aplikasi Analisis Multivariate dengan Program IBM SPSS. Yogyakarta: Universitas Diponegoro
Ghozali, I. (2014). Structrural equation modeling metode alternatif dengan PLS. Se-marang: Universitas Diponegoro. Ghozali, I., & Latan, H. (2015). Partial least squares: Konsep, teknik, dan aplikasi menggunakan program smart PLS 3.0 (2nd ed.)
Ghozali, I., & Latan, H. (2015). Partial least squares: Konsep, teknik, dan aplikasi menggunakan program smart PLS 3.0 (2nd ed.). Semarang: Universitas Dipone-goro Semarang
Hair, Joseph F.,G. Tomas M. Hult., Christian M. Ringle., and Marko Sarstedt. 2017. A Primer on Partial Least Squares Structural Equation Modelling (PLS-SEM). 2e Edition USA: Sage.
Indrawati, P. D, dkk Perilaku konsumen individu dalam mengadopsi layanan berbasis teknologi informasi dan komunikasi edisi pertama.bandung: PT Refika Aditama.
Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in the mobile banking literature : The moderating role of sample size and culture. Journal of Business Research, 132, 354–372. https://doi.org/10.1016/j.jbusres.2021.04.052
Jangka, A., Sistem, P., & Non, P. (2022). Quick Response Indonesian Standard (QRIS): Does Government Support Contribute to Cashless Payment System Long-term Adoption? Jurnal Inovasi Pemasaran(1) (2022) 27-41
Jogiyanto, Hartono. 2007. Model Kesuksesan Sistem Teknologi Informasi. Yogyakarta: Andi.
Justino Aji Charisma, & Nur Asnawi. (2021). Memprediksi Niat Perilaku Terhadap E-Wallet : Mengintegrasikan Budaya Dalam Rangka Utaut 2 (Dua). An-Nisbah: Jurnal Perbankan Syariah, 2(1), 116–136. https://doi.org/10.51339/nisbah.v2i1.201
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54(May), 102144. https://doi.org/10.1016/j.ijinfomgt.2020.102144
Puspitasari, A. A., & Salehudin, I. (2022). Quick Response Indonesian Standard (QRIS): Does Government Support Contribute to Cashless Payment System Long-term Adoption? Journal of Marketing, 1(March), 27–41. https://doi.org/10.35313/jmi.v1i2.29
Sivathanu, B. (2018). Adoption of digital payment systems in the era of demonetization in India An empirical study. https://doi.org/10.1108/JSTPM-07-2017-003
Tam, C., & Oliveira, T. (2015). Literature review of mobile banking and individual performance. International Journal of Bank Marketing, 35(7), 1044-1067. DOI: https://doi.org/10.1108/IJBM-09- 2015-0143
Tusyanah, T., Wahyudin, A., & Khafid, M. (2021). Analyzing Factors Affecting the Behavioral Intention to Use e-Wallet with the UTAUT Model with Experience as Moderating Variable. Journal of Economic Education, 10(2), 113–123. http://journal.unnes.ac.id/sju/index.php/jeec
Thakur, R., Angriawan, A., & Summey, J. H. (2016). Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness. Journal Journal of Business Research, 69(8), 2764–2773
Karjaluoto, H., Shaikh, A. A., Saarijärvi, H., & Saraniemi, S. (2019). How perceived value drives the use of mobile financial services apps. International Journal of Information Management, 47(September 2017), 252–261. https://doi.org/10.1016/j.ijinfomgt.2018.08.014
Khan, A., & Qutab, S. (2016). Understanding research students’ behavioural intention in the adoption of digital libraries. Library Review, 65(4/5), 295–319. https://doi.org/10.1108/LR-06-2015-0070
Kim, S., Lee, K.-H., Hwang, H., & Yoo, S. (2015). Analysis of the factors influencing healthcare professionals’ adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital. BMC Medical Informatics and Decision Making, 16(1), 1–12. https://doi.org/10.1186/s12911-016-0249-8
Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327-346.
Kumar, D.S., Purani, K., Viswanathan, S.A., 2018. Influences of’appscape’on mobile app adoption and m-loyalty. J. Retailing Consum. Serv. 45, 132–141.
Sharma, S. K., & Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65-75. https://doi.org/10.1016/j.ijinfomgt.2018.09.013.
Shaikh, AA dan Karjaluoto, H. (2015), "Adopsi mobile banking: tinjauan literatur",Telematika dan Informatika,Jil. 32 No.1, hal.129-142.
Srivastava, S. C., Chandra, S., & Theng, Y.-L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis. Communications of the Association for Information Systems, 27(1), 561–588.
Le, M. T. H. (2021). Heliyon Examining factors that boost intention and loyalty to use Fintech post-COVID-19 lockdown as a new normal behavior. Heliyon, 7(August), e07821. https://doi.org/10.1016/j.heliyon.2021.e07821
Lim, F.-W., Ahmad, F., Nizam, A., & Talib, B. A. (2019). Behavioural Intention towards Using Electronic Wallet: A Conceptual Framework in the Light of the Unified Theory of Acceptance and Use of Technology (UTAUT). Imperial Journal of Interdisciplinary Research (IJIR) Peer Reviewed-International Journal, 5(1), 79–86.
Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393–403.
Najib, M., & Fahma, F. (2020). Investigating the adoption of digital payment system through an extended technology acceptance model: An insight from the Indonesian small and medium enterprises. International Journal on Advanced Science, Engineering and Information Technology, 10(4), 1702–1708. https://doi.org/10.18517/ijaseit.10.4.11616
Oliveira, T., Faria, M., Thomas, M.A. and Popovic, A. (2014), “Extending the understanding of mobile banking adoption: when UTAUT meets TTF and ITM”, International Journal of Information Management, Vol. 34 No. 5, pp. 689-703
Vanduhe, V. Z., Nat, M., & Hasan, H. F. (2020). Continuance intentions to use gamification for training in higher education: Integrating the technology acceptance model (TAM), Social motivation, and task technology fit (TTF). IEEE Access, 8, 21473-21484. https://doi.org/10.1109/ACCESS.2020.2966179
Venkatesh, V., Bala, H., 2008. Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39 (2), 273–315.
Venkatesh, V., Brown, S.A., 2001. A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. Mis. Q. 71–102.
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., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178
Yuan, S., Liu, L., Su, B., & Zhang, H. (2020). Determining the antecedents of mobile payment loyalty: Cognitive and affective perspectives. Electronic Commerce Research and Applications, 41(July 2019). https://doi.org/10.1016/j.elerap.2020.100971
Wei, M. F., Luh, Y. H., Huang, Y. H., & Chang, Y. C. (2021). 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