ISSN : 1738-3110
Purpose: The goal of this study is to examine what makes young people more likely to use digital banking. This is because digital banking services and their distribution channels are technologically advanced, which can be a double-edged sword between ease of use and resistance to technology. Research design, data and methodology: This study included 320 participants from generation Z in Jakarta who use digital bank and used a quantitative method with PLS-SEM. Results: This study explains how, in addition to usefulness, costs, and self-efficacy, resistance to technology has a direct effect on usage attitudes. Meanwhile, if the attitude of use is preceded by aspects of usefulness, self-efficacy, and awareness, resistance to technology will be felt indirectly. Conclusions: This demonstrated that most discussed factors, such as Ease-of-Use and security of use, are important for Generation Z users but no longer a major consideration in accepting digital banking. Aside from being more open to the use of technology in digital banks, Generation Z also desires a balance of technology services and benefits. The limitations of this study are that it excludes social variables, uses certain generations, and limits the research area to one large city, which can be expanded in future studies.
Abbad, M. M. (2013). E-banking in Jordan. Behaviour & Information Technology, 32(7), 681–694. https://doi.org/10.1080/0144929X.2011.586725
Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. (2022). Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 1–29. https://doi.org/10.3390/joitmc8030120
Ahmed, R. R., Štreimikienė, D., & Štreimikis, J. (2022). The extended UTAUT model and learning management system during COVID-19: Evidence from PLS-SEM and conditional process modeling. Journal of Business Economics and Management, 23(1), 82–104. https://doi.org/10.3846/jbem.2021.15664
Al-Zu’bi, Z., Abu-Assi, H., & Dmour, H. (2014). Determinants of Internet Banking Adoption in Jordan. International Journal of Business and Management, 9(12), 169–196. https://doi.org/10.5539/ijbm.v9n12p169
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
Ali, G. A., Hilman, H., & Gorondutse, A. H. (2020). Effect of entrepreneurial orientation, market orientation and total quality management on performance Evidence from Saudi SMEs. Benchmarking: An International Journal, 27(4), 1503–1531. https://doi.org/10.1108/BIJ-08-2019-0391
Alnsour, M. (2013). How to Retain a Bank Customer: A Qualitative Study of Jordanian Banks Relational Strategies. International Journal of Marketing Studies, 5(4), 123–131. https://doi.org/10.5539/ijms.v5n4p123
Alnsour, M., & Al-Hyari, K. (2011). Internet Banking and Jordanian Corporate Customers: Issues of Security and Trust. Journal of Internet Banking and Commerce, 16(1), 1–15.
Anouze, A. L. M., & Alamro, A. S. (2020). Factors affecting intention to use e-banking in Jordan. International Journal of Bank Marketing, 38(1), 86–112. https://doi.org/10.1108/IJBM10-2018-0271
Banu, A. M., Mohamed, N. S., & Parayitam, S. (2019). Online Banking and Customer Satisfaction: Evidence from India. AsiaPacific Journal of Management Research and Innovation, 15(1–2), 68–80. https://doi.org/10.1177/2319510X19849730
Barati, M., Taheri-Kharameh, Z., Farghadani, Z., & Rásky, É. (2019). Validity and Reliability Evaluation of the Persian Version of the Heart Failure-Specific Health Literacy Scale. International Journal of Community Based Nursing and Midwifery, 7(3), 222–230. https://doi.org/10.30476/IJCBNM.2019.44997
Bassiouni, D. H., & Hackley, C. (2014). ‘Generation Z’ children’s adaptation to digital consumer culture: A critical literature review. Journal of Customer Behaviour, 13(2), 113–133. https://doi.org/10.1362/147539214X14024779483591
Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(103168), 1–16. https://doi.org/10.1016/j.im.2019.05.003
Boons, F., & Lüdeke-Freund, F. (2013). Business models for sustainable innovation: state-of-the-art and steps towards a research agenda. Journal of Cleaner Production, 45(2013), 9– 19. https://doi.org/10.1016/j.jclepro.2012.07.007
Cheng, T. C. E., Lam, D. Y. C., & Yeung, A. C. L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558–1572. https://doi.org/https://doi.org/10.1016/j.dss.2006.01.002
Christian, M., & Agung, H. (2020). Urban Consumer Behavior On Buying Multi-Products On ShopeeUsing Technology Acceptance Model(TAM). Widyakala Journal, 7(2), 54–60. https://doi.org/10.36262/widyakala.v7i2.337
Christian, M., & Justinius, J. (2021). Identifying Determinants of Competitive Advantage for Ayam Geprek Business in Jakarta During the Pandemic Covid-19. Journal of Business & Applied Management, 14(1), 83–98. https://doi.org/10.30813/jbam.v14i1.2712
Christian, M., Wibowo, S., Indriyarti, E. R., Sunarno, S., & Yuniarto, Y. (2022). Do Service Quality and Satisfaction Affect the Intention of Using Application-Based Land Transportation? A Study on Generation YZ in Jakarta. Studies in Systems, Decision and Control, 216, 737–746. https://doi.org/10.1007/978-3-031-10212-7_60
Ciciretti, R., Hasan, I., & Zazzara, C. (2009). Do Internet Activities Add Value? Evidence from the Traditional Banks. Journal of Financial Services Research, 35(1), 81–98. https://doi.org/10.1007/s10693-008-0039-2
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
Giovanis, A., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile self-service retail banking technologies. International Journal of Retail & Distribution Management, 47(9), 894–914. https://doi.org/10.1108/IJRDM-05-2018-0089
Gounaris, S., & Koritos, C. (2008). Investigating the drivers of Internet banking adoption decision: a comparison of three alternative frameworks. International Journal of Bank Marketing, 26(5), 282–304. https://doi.org/10.1108/02652320810894370
He, D., You, K., Li, W., & Wu, J. (2019). Determinants of Technology Adoption: Evidence from the Chinese Banking Industry. Emerging Markets Finance and Trade, 57(11), 1–23. https://doi.org/10.1080/1540496X.2019.1678027
Hu, L., & 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. https://doi.org/10.1080/10705519909540118
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91–112. https://doi.org/10.1080/07421222.1999.11518247
Hussain, S., Fangwei, Z., Siddiqi, A. F., Ali, Z., & Shabbir, M. S. (2018). Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects. Sustainability, 10(1415), 1–25. https://doi.org/10.3390/su10051415
Jamshidi, D., & Hussin, N. (2016). Forecasting patronage factors of Islamic credit card as a new e-commerce banking service: An integration of TAM with perceived religiosity and trust. Journal of Islamic Marketing, 7(4), 378–404. https://doi.org/10.1108/JIMA-07-2014-0050
Jena, R. K. (2022). Examining the Factors Affecting the Adoption of Blockchain Technology in the Banking Sector: An Extended UTAUT Model. International Journal of Financial Studies, 10(4), 1–20. https://doi.org/10.3390/ijfs10040090
Kaur, S. J., Ali, L., Hassan, M. K., & Al-Emran, M. (2021). Adoption of digital banking channels in an emerging economy: exploring the role of in-branch efforts. Journal of Financial Services Marketing, 26, 107–121. https://doi.org/10.1057/s41264-020-00082-w
Lee, K.-W., Tsai, M.-T., & Lanting, M. C. L. (2011). From marketplace to marketspace: Investigating the consumer switch to online banking. Electronic Commerce Research and Applications, 10(1), 115–125. https://doi.org/10.1016/j.elerap.2010.08.005
Malaquias, R., & Hwang, Y. (2019). Mobile banking use: A comparative study with Brazilian and U.S. participants. International Journal of Information Management, 44(4), 132– 140. https://doi.org/10.1016/j.ijinfomgt.2018.10.004
Malatji, W. R., Eck, R. Van, & Zuva, T. (2020). Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM). Advances in Science, Technology and Engineering Systems Journal, 5(6), 113–117. https://doi.org/10.25046/aj050612
Mani, Z., & Chouk, I. (2017). Drivers of consumers’ resistance to smart products. Journal of Marketing Management, 33(1–2), 76–97. https://doi.org/10.1080/0267257X.2016.1245212
Memon, A. H., & Rahman, I. A. (2014). SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants. The Scientific World Journal, 2014(165158), 1–9. https://doi.org/10.1155/2014/165158
Nath, R., Bhal, K. T., & Kapoor, G. T. (2013). Factors influencing IT Adoption by Bank Employees: An Extended TAM Approach. Vikalpa, 38(4), 83–96. https://doi.org/10.1177/0256090920130406
Otache, I. (2019). The mediating effect of teamwork on the relationship between strategic orientation and performance of Nigerian banks. European Business Review, 31(5), 744–760. https://doi.org/10.1108/EBR-10-2017-0183
Ozdemir, S., Trott, P., & Hoecht, A. (2008). Segmenting internet banking adopter and non‐adopters in the Turkish retail banking sector. International Journal of Bank Marketing, 26(4), 212– 236. https://doi.org/10.1108/02652320810884777
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research, 14(3), 224–235. https://doi.org/10.1108/10662240410542652
Priya, R., Gandhi, A. V., & Shaikh, A. (2018). Mobile banking adoption in an emerging economy. Benchmarking: An International Journal, 25(2), 743–762. https://doi.org/10.1108/BIJ-01-2016-0009
Ratten, V. (2015a). International Consumer Attitudes Toward Cloud Computing: A Social Cognitive Theory and Technology Acceptance Model Perspective. Thunderbird International Business Review, 57(3), 217–228. https://doi.org/10.1002/tie.21692
Ratten, V. (2015b). Exploring Behaviors and Perceptions Affecting the Adoption of Cloud Computing. International Journal of Innovation in the Digital Economy, 4(3), 51–68. https://doi.org/10.4018/jide.2013070104
Rawashdeh, A. (2015). Factors affecting adoption of internet banking in Jordan. International Journal of Bank Marketing, 33(4), 510–529. https://doi.org/10.1108/IJBM-03-2014-0043
Roy, S. K., Balaji, M. S., Kesharwani, A., & Sekhon, H. (2017). Predicting Internet banking adoption in India: a perceived risk perspective. Journal of Strategic Marketing, 25(5–6), 418–438. https://doi.org/10.1080/0965254X.2016.1148771
Sadowski, B. M. (2017). Advanced users and the adoption of high speed broadband: Results of a living lab study in the Netherlands. Technological Forecasting and Social Change, 115(1), 1–14. https://doi.org/10.1016/j.techfore.2016.09.009
Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems, 101(4), 165–177. https://doi.org/10.1108/02635570110390071
Samsudeen, S. N., Selvaratnam, G., & Hayathu Mohamed, A. H. (2022). Intention to use mobile banking services: an Islamic banking customers’ perspective from Sri Lanka. Journal of Islamic Marketing, 13(2), 410–433. https://doi.org/10.1108/JIMA-05-2019-0108
Sánchez-Torres, J. A., Canada, F.-J. A., Sandoval, A. V., & Alzate, J.-A. S. (2018). E-banking in Colombia: factors favouring its acceptance, online trust and government support. International Journal of Bank Marketing, 36(1), 170–183. https://doi.org/10.1108/IJBM-10-2016-0145
Sarel, D., & Marmorstein, H. (2003). Marketing online banking services: The voice of the customer. Journal of Financial Services Marketing, 8(2), 106–118. https://doi.org/10.1057/palgrave.fsm.4770111
Shaikh, A. A., Alharthi, M. D., & Alamoudi, H. O. (2020). Examining key drivers of consumer experience with (nonfinancial) digital services—An exploratory study. Journal of Retailing and Consumer Services, 55(102073), 1–10. https://doi.org/10.1016/j.jretconser.2020.102073
Shaikh, A. A., & Karjaluoto, H. (2016). On Some Misconceptions Concerning Digital Banking and Alternative Delivery Channels. International Journal of E-Business Research, 12(3), 1–16. https://doi.org/10.4018/IJEBR.2016070101
Sharma, S. K., & Govindaluri, S. M. (2014). Internet banking adoption in India. Journal of Indian Business Research, 6(2), 155–169. https://doi.org/10.1108/JIBR-02-2013-0013
Sinha, I., & Mukherjee, S. (2016). Acceptance of technology, related factors in use of off branch e-banking: an Indian case study. The Journal of High Technology Management Research, 27(1), 88–100. https://doi.org/10.1016/j.hitech.2016.04.008
Suhartanto, D., & Leo, G. (2018). Small business entrepreneur resistance of ICT adoption: a lesson from Indonesia. International Journal of Business and Globalisation, 21(1), 5. https://doi.org/10.1504/IJBG.2018.10015253
Takieddine, S., & Sun, J. (2015). Internet banking diffusion: A country-level analysis. Electronic Commerce Research and Applications, 14(5), 361–371. https://doi.org/10.1016/j.elerap.2015.06.001
Wallace, L. G., & Sheetz, S. D. (2014). The adoption of software measures: A technology acceptance model (TAM) perspective. Information & Management, 51(2), 249–259. https://doi.org/https://doi.org/10.1016/j.im.2013.12.003
Willaby, H. W., Costa, D. S. J., Burns, B. D., MacCann, C., & Roberts, R. D. (2015). Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology. Personality and Individual Differences, 84(10), 73–78. https://doi.org/10.1016/j.paid.2014.09.008
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237
Yaseen, S. G., & Qirem, I. A. El. (2018). Intention to use e-banking services in the Jordanian commercial banks. International Journal of Bank Marketing, 36(3), 557–571. https://doi.org/10.1108/IJBM-05-2017-0082
