How to cite this paper
Rahadi, R., Nainggolan, Y., Afgani, K., Yusliza, M., Faezah, J., Ramayah, T., Saputra, J., Muhammad, Z., Farooq, K & Angelina, C. (2022). Towards a cashless society: Use of electronic payment devices among generation Z.International Journal of Data and Network Science, 6(1), 137-146.
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Acheampong, P., Zhiwen, L., Antwi, H. A., Otoo, A. A. A., Mensah, W. G., & Sarpong, P. B. (2017). Hybridizing an Extended Technology Readiness Index with Technology Acceptance Model ( TAM ) to Predict E-Payment Adoption in Ghana. American Journal of Multidisciplinary Research, 5(2), 172–184. https://doi.org/ISSN: 2356-6191
Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified theory of acceptance and use of technology. Journal of Business Research, 67(11), 2282–2290.
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.
Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin. https://doi.org/10.1037/0033-2909.103.3.411
Asnakew, Z. S. (2020). Customers ’ Continuance Intention to Use Mobile Banking : Development and Testing of an Integrated Model. The Review of Socionetwork Strategies, 0123456789. https://doi.org/10.1007/s12626-020-00060-7
Cao, Q., & Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69(October 2017), 9–13. https://doi.org/10.1016/j.ergon.2018.09.004
Chang, C. C., Hung, S. W., Cheng, M. J., & Wu, C. Y. (2015). Exploring the intention to continue using social networking sites: The case of Facebook. Technological Forecasting and Social Change, 95, 48–56.
Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209–218. https://doi.org/10.1016/j.jretconser.2015.10.007
Cho, V., Cheng, T. C. E., & Hung, H. (2009). Continued usage of technology versus situational factors: An empirical analysis. Journal of Engineering and Technology Management - JET-M, 26(4), 264–284.
Choi, K., Wang, Y., & Sparks, B. (2019). Travel app users’ continued use intentions: it’s a matter of value and trust. Journal of Travel and Tourism Marketing, 36(1), 131–143. https://doi.org/10.1080/10548408.2018.1505580
Chong, A. Y. L., Chan, F. T., & Ooi, K. B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34–43.
Chopdar, P. K., & Sivakumar, V. J. (2019). Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk. Behaviour and Information Technology, 38(1), 42–64.
de Sena Abrahão, R., Moriguchi, S. N., & Andrade, D. F. (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), 221–230. https://doi.org/10.1016/j.rai.2016.06.003
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88.
Fedorko, R., Fedorko, I., Riana, I. G., Rigelský, M., Oleárová, M., & Obšatníková, K. (2018). The impact of selected elements of e-commerce to e-shop recommendation. Polish Journal of Management Studies, 18.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Foster, B., Saputra, J., & Grabowska, M. (2020). Communication strategy planning in influencing the intention to visit: An implication to marketing management. Polish Journal of Management Studies, 22(1), 117–133.
Gao, L., Waechter, K. A., & Bai, X. (2015). Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study - A case of China. Computers in Human Behavior, 53, 249–262.
Garcia, P. R. J. M., Restubog, S. L. D., Ocampo, A. C., Wang, L., & Tang, R. L. (2019). Role modeling as a socialization mechanism in the transmission of career adaptability across generations. Journal of Vocational Behavior, 111(July 2017), 39–48. https://doi.org/10.1016/j.jvb.2018.12.002
Ginanjar, I. R., Hurriyati, R., Adiwibowo, L., Gaffar, V., & Saputra, J. (2019). The Role of Supply Chain Management Consumer Attitude as Intervening between Brand Images, Perceived Value and Revisiting Intention. Inernational Journal of Supply Chain Management, 8(4), 901.
Goyal, A., Maity, M., Thakur, R., & Srivastava, M. (2013). Customer usage intention of mobile commerce in India: An empirical study. Journal of Indian Business Research, 5(1), 52–72. https://doi.org/10.1108/17554191311303385
Gupta, K., & Arora, N. (2019). 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.
Hair Jr, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertising: Review and recommendations. Journal of Advertising, 46(1), 163–177.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Herrando, C., Jimenez-Martinez, J., & Martin-De Hoyos, M. J. (2019). Tell me your age and I tell you what you trust: the moderating effect of generations. Internet Research, 29(4), 799–817. https://doi.org/10.1108/IntR-03-2017-0135
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
Huang, Y. M. (2020). Students’ Continuance Intention Toward Programming Games: Hedonic and Utilitarian Aspects. International Journal of Human-Computer Interaction, 36(4), 393–402. https://doi.org/10.1080/10447318.2019.1647665
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
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information and Management, 48(1), 1–8. https://doi.org/10.1016/j.im.2010.09.001
Isaac, O., Abdullah, Z., Aldholay, A. H., & Ameen, A. A. (2019). Antecedents and outcomes of internet usage within organisations in Yemen: An extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Asia Pacific Management Review, 24(4), 335–354. https://doi.org/10.1016/j.apmrv.2018.12.003
Junadi, S. (2015). A Model of Factors Influencing Consumer’s Intention To Use E-payment System in Indonesia. Procedia Computer Science, 59, 214–220. https://doi.org/https://doi.org/10.1016/j.procs.2015.07.557
Kaium, M. A., Bao, Y., Alam, M. Z., & Hoque, M. R. (2020). Understanding continuance usage intention of mHealth in a developing country: An empirical investigation. International Journal of Pharmaceutical and Healthcare Marketing, 20194. https://doi.org/10.1108/IJPHM-06-2019-0041
Keong, M. L., Ramayah, T., Kurnia, S., & Chiun, L. M. (2012). Explaining intention to use an enterprise resource planning ( ERP ) system : an extension of the UTAUT model. Business Strategy Series, 13(4), 173–180.
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
Khwaldeh, S. (2020). The impact of mobile hotel reservation system on continuous intention to use in Jordan. Tourism and Hospitality Research, 1–14. https://doi.org/10.1177/1467358420907176
Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404–416. https://doi.org/10.1016/j.ijmedinf.2008.12.005
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Korzaan, M., & Morris, S. A. (2009). Individual characteristics and the intention to continue project escalation. Computers in Human Behavior, 25(6), 1320–1330. https://doi.org/10.1016/j.chb.2009.05.005
Kurniawati, E., Siddiq, A., & Huda, I. (2020). E-commerce opportunities in the 4.0 era innovative entrepreneurship management development. Polish Journal of Management Studies, 21.
Lee, H. S., Loke, Y. J., & Tan, A. K. (2013). The demand for e-payments in Malaysia: an examination of usage intensity. Margin: The Journal of Applied Economic Research, 7(4), 371–389.
Liébana-Cabanillas, F., Munoz-Leiva, F., & Sánchez-Fernández, J. (2018). A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment. Service Business, 12(1), 25–64.
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Maillet, É., Mathieu, L., & Sicotte, C. (2015). Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT. International Journal of Medical Informatics, 84(1), 36–47. https://doi.org/10.1016/j.ijmedinf.2014.09.004
Marinković, V., Đorđević, A., & Kalinić, Z. (2020a). The moderating effects of gender on customer satisfaction and continuance intention in mobile commerce: a UTAUT-based perspective. Technology Analysis & Strategic Management, 32(3), 306–318.
Marinković, V., Đorđević, A., & Kalinić, Z. (2020b). The moderating effects of gender on customer satisfaction and continuance intention in mobile commerce: a UTAUT-based perspective. Technology Analysis and Strategic Management, 32(3), 306–318. https://doi.org/10.1080/09537325.2019.1655537
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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.
Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin. https://doi.org/10.1037/0033-2909.103.3.411
Asnakew, Z. S. (2020). Customers ’ Continuance Intention to Use Mobile Banking : Development and Testing of an Integrated Model. The Review of Socionetwork Strategies, 0123456789. https://doi.org/10.1007/s12626-020-00060-7
Cao, Q., & Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69(October 2017), 9–13. https://doi.org/10.1016/j.ergon.2018.09.004
Chang, C. C., Hung, S. W., Cheng, M. J., & Wu, C. Y. (2015). Exploring the intention to continue using social networking sites: The case of Facebook. Technological Forecasting and Social Change, 95, 48–56.
Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209–218. https://doi.org/10.1016/j.jretconser.2015.10.007
Cho, V., Cheng, T. C. E., & Hung, H. (2009). Continued usage of technology versus situational factors: An empirical analysis. Journal of Engineering and Technology Management - JET-M, 26(4), 264–284.
Choi, K., Wang, Y., & Sparks, B. (2019). Travel app users’ continued use intentions: it’s a matter of value and trust. Journal of Travel and Tourism Marketing, 36(1), 131–143. https://doi.org/10.1080/10548408.2018.1505580
Chong, A. Y. L., Chan, F. T., & Ooi, K. B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34–43.
Chopdar, P. K., & Sivakumar, V. J. (2019). Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk. Behaviour and Information Technology, 38(1), 42–64.
de Sena Abrahão, R., Moriguchi, S. N., & Andrade, D. F. (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), 221–230. https://doi.org/10.1016/j.rai.2016.06.003
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88.
Fedorko, R., Fedorko, I., Riana, I. G., Rigelský, M., Oleárová, M., & Obšatníková, K. (2018). The impact of selected elements of e-commerce to e-shop recommendation. Polish Journal of Management Studies, 18.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Foster, B., Saputra, J., & Grabowska, M. (2020). Communication strategy planning in influencing the intention to visit: An implication to marketing management. Polish Journal of Management Studies, 22(1), 117–133.
Gao, L., Waechter, K. A., & Bai, X. (2015). Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study - A case of China. Computers in Human Behavior, 53, 249–262.
Garcia, P. R. J. M., Restubog, S. L. D., Ocampo, A. C., Wang, L., & Tang, R. L. (2019). Role modeling as a socialization mechanism in the transmission of career adaptability across generations. Journal of Vocational Behavior, 111(July 2017), 39–48. https://doi.org/10.1016/j.jvb.2018.12.002
Ginanjar, I. R., Hurriyati, R., Adiwibowo, L., Gaffar, V., & Saputra, J. (2019). The Role of Supply Chain Management Consumer Attitude as Intervening between Brand Images, Perceived Value and Revisiting Intention. Inernational Journal of Supply Chain Management, 8(4), 901.
Goyal, A., Maity, M., Thakur, R., & Srivastava, M. (2013). Customer usage intention of mobile commerce in India: An empirical study. Journal of Indian Business Research, 5(1), 52–72. https://doi.org/10.1108/17554191311303385
Gupta, K., & Arora, N. (2019). 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.
Hair Jr, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertising: Review and recommendations. Journal of Advertising, 46(1), 163–177.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Herrando, C., Jimenez-Martinez, J., & Martin-De Hoyos, M. J. (2019). Tell me your age and I tell you what you trust: the moderating effect of generations. Internet Research, 29(4), 799–817. https://doi.org/10.1108/IntR-03-2017-0135
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
Huang, Y. M. (2020). Students’ Continuance Intention Toward Programming Games: Hedonic and Utilitarian Aspects. International Journal of Human-Computer Interaction, 36(4), 393–402. https://doi.org/10.1080/10447318.2019.1647665
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
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information and Management, 48(1), 1–8. https://doi.org/10.1016/j.im.2010.09.001
Isaac, O., Abdullah, Z., Aldholay, A. H., & Ameen, A. A. (2019). Antecedents and outcomes of internet usage within organisations in Yemen: An extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Asia Pacific Management Review, 24(4), 335–354. https://doi.org/10.1016/j.apmrv.2018.12.003
Junadi, S. (2015). A Model of Factors Influencing Consumer’s Intention To Use E-payment System in Indonesia. Procedia Computer Science, 59, 214–220. https://doi.org/https://doi.org/10.1016/j.procs.2015.07.557
Kaium, M. A., Bao, Y., Alam, M. Z., & Hoque, M. R. (2020). Understanding continuance usage intention of mHealth in a developing country: An empirical investigation. International Journal of Pharmaceutical and Healthcare Marketing, 20194. https://doi.org/10.1108/IJPHM-06-2019-0041
Keong, M. L., Ramayah, T., Kurnia, S., & Chiun, L. M. (2012). Explaining intention to use an enterprise resource planning ( ERP ) system : an extension of the UTAUT model. Business Strategy Series, 13(4), 173–180.
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
Khwaldeh, S. (2020). The impact of mobile hotel reservation system on continuous intention to use in Jordan. Tourism and Hospitality Research, 1–14. https://doi.org/10.1177/1467358420907176
Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404–416. https://doi.org/10.1016/j.ijmedinf.2008.12.005
Kline, R. B. (2012). Assumptions in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 111–125). The Guilford Press.
Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence : predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/02642069.2015.1043278
Korzaan, M., & Morris, S. A. (2009). Individual characteristics and the intention to continue project escalation. Computers in Human Behavior, 25(6), 1320–1330. https://doi.org/10.1016/j.chb.2009.05.005
Kurniawati, E., Siddiq, A., & Huda, I. (2020). E-commerce opportunities in the 4.0 era innovative entrepreneurship management development. Polish Journal of Management Studies, 21.
Lee, H. S., Loke, Y. J., & Tan, A. K. (2013). The demand for e-payments in Malaysia: an examination of usage intensity. Margin: The Journal of Applied Economic Research, 7(4), 371–389.
Liébana-Cabanillas, F., Munoz-Leiva, F., & Sánchez-Fernández, J. (2018). A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment. Service Business, 12(1), 25–64.
Lin, C., & Nguyen, C. (2011). Exploring e-payment adoption in Vietnam and Taiwan. Journal of Computer Information Systems, 51(4), 41–52. https://doi.org/10.1080/08874417.2011.11645500
Maillet, É., Mathieu, L., & Sicotte, C. (2015). Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT. International Journal of Medical Informatics, 84(1), 36–47. https://doi.org/10.1016/j.ijmedinf.2014.09.004
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