[
Akturan, U., Tezcan, N. (2012). Mobile banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence and Planning, 30(4).10.1108/02634501211231928
]Search in Google Scholar
[
Al-somali, S. A., Gholami, R., Clegg, B. (2009). An investigation into the acceptance of online banking in Saudi Arabia. Technovation, 29(2), 130–141.10.1016/j.technovation.2008.07.004
]Search in Google Scholar
[
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40.10.1016/j.jretconser.2017.08.026
]Search in Google Scholar
[
Almahri, F. A. J., Bell, D., Merhi, M. (2020). Understanding Student Acceptance and Use of Chatbots in the United Kingdom Universities: A Structural Equation Modelling Approach. 6th International Conference on Information Management (ICIM), 284–288.10.1109/ICIM49319.2020.244712
]Search in Google Scholar
[
Arif, I., Afshan, S., Sharif, A. (2016). Resistance to Mobile Banking Adoption in a Developing Country : Evidence from Modified TAM. Journal of Finance and Economics Research, 1(1), 25–42.10.20547/jfer1601104
]Search in Google Scholar
[
Bala, K., Kumar, M., Hulawale, S., Pandita, S. (2017). Chat-bot for college management system using AI. International Research Journal of Engineering and Technology, 4(11).
]Search in Google Scholar
[
Business Insider. (2021, January 13). Artificial Intelligence in Banking 2021: How Banks Use AI. https://www.businessinsider.com/ai-in-banking-report
]Search in Google Scholar
[
Cardona, R. D., Werth, O., Schönborn, S., Breitner, M. H. (2019). A Mixed Methods Analysis of the Adoption and Diffusion of Chatbot Technology in the German Insurance Sector A. 25th Americas Conference on Information Systems (AMCIS), January.
]Search in Google Scholar
[
Curs BNR. (2020). Lista bancilor din Romania. https://www.cursbnr.ro/lista-banci
]Search in Google Scholar
[
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.10.2307/249008
]Search in Google Scholar
[
Farah, M. F., Hasni, M. J. S., Abbas, A. K. (2018). Mobile-banking adoption: empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7).10.1108/IJBM-10-2017-0215
]Search in Google Scholar
[
Fishbein, M., Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley.
]Search in Google Scholar
[
Forza, C., Filippini, R. (1998). TQM impact on quality conformance and customer satisfaction: A causal model. International Journal of Production Economics, 55(1).10.1016/S0925-5273(98)00007-3
]Search in Google Scholar
[
Gefen, D., Karahanna, E., Straub, D. W. (2003). Trust and tam in online shopping: AN integrated model. MIS Quarterly: Management Information Systems, 27(1).
]Search in Google Scholar
[
Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., Sarmaniotis, C. (2019). Adoption of mobile banking services: A comparative analysis of four competing theoretical models. International Journal of Bank Marketing, 37(5), 1165–1189.10.1108/IJBM-08-2018-0200
]Search in Google Scholar
[
Giovanis, A. N., Binioris, S., Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24–53.10.1108/14502191211225365
]Search in Google Scholar
[
Guesalaga, R. (2016). The use of social media in sales: Individual and organizational antecedents, and the role of customer engagement in social media. Industrial Marketing Management, 54, 71–79.10.1016/j.indmarman.2015.12.002
]Search in Google Scholar
[
Gupta, A., Sharma, D. (2019). Customers’ Attitude towards Chatbots in Banking Industry of India. International Journal of Innovative Technology and Exploring Engineering, 8(11).
]Search in Google Scholar
[
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Second Edition. In California: Sage.
]Search in Google Scholar
[
Hanafizadeh, P., Khedmatgozar, H. R. (2012). The mediating role of the dimensions of the perceived risk in the effect of customers’ awareness on the adoption of Internet banking in Iran. Electronic Commerce Research, 12(2).10.1007/s10660-012-9090-z
]Search in Google Scholar
[
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).10.1007/s11747-014-0403-8
]Search in Google Scholar
[
Juniper Research. (2020). Chatbots, a Game Changer for Banking & Healthcare. https://www.juniperresearch.com/press/press-releases/chatbots-a-game-changer-for-banking-healthcare
]Search in Google Scholar
[
Koenig-Lewis, N., Palmer, A., Moll, A. (2010). Predicting young consumers’ take up of mobile banking services. International Journal of Bank Marketing, 28(5).10.1108/02652321011064917
]Search in Google Scholar
[
Kolodinsky, J. M., Hogarth, J. M., Hilgert, M. A. (2004). The adoption of electronic banking technologies by US consumers. International Journal of Bank Marketing, 22(4).10.1108/02652320410542536
]Search in Google Scholar
[
Laumer, S., Maier, C., Fabian, G. (2020). Chatbot acceptance in healthcare: Explaining user adoption of conversational agents for disease diagnosis. 27th European Conference on Information Systems - Information Systems for a Sharing Society, ECIS 2019.
]Search in Google Scholar
[
Li, J. P., Kishore, R. (2006). How robust is the UTAUT instrument? A multigroup invariance analysis in the context of acceptance and use of online community weblog systems. SIGMIS CPR’06 - Proceedings of the 2006 ACM SIGMIS CPR Conference, 2006.
]Search in Google Scholar
[
Martins, C., Oliveira, T., Popovič, 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).10.1016/j.ijinfomgt.2013.06.002
]Search in Google Scholar
[
McKinsey. (2020). Digital adoption through COVID-19 and beyond | McKinsey. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/the-covid-19-recovery-will-be-digital-a-plan-for-the-first-90-days
]Search in Google Scholar
[
Melián-González, S., Gutiérrez-Taño, D., Bulchand-Gidumal, J. (2021). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism, 24(2), 192–210.10.1080/13683500.2019.1706457
]Search in Google Scholar
[
Moldovan, I.-Z., Săplăcan, Z. (2018). What makes Romanians to bank on their smarthphones? Determinants of mobile banking adoption. Studia UBB Negotia, LXIII(1), 5–33. https://econpapers.repec.org/RePEc:bbn:journl:2018_1_1_moldovan10.24193/subbnegotia.2018.1.01
]Search in Google Scholar
[
Moore, C. G., Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. In Information Systems Research (Vol. 2, Issue 3, pp. 192–222).10.1287/isre.2.3.192
]Search in Google Scholar
[
Mordor Intelligence. (2019). Chatbot Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026). https://www.mordorintelligence.com/industry-reports/chatbot-market
]Search in Google Scholar
[
Nguyen, Q. N., Sidorova, A. (2017). AI capabilities and user experiences: a comparative study of user reviews for assistant and non-assistant mobile apps. AMCIS 2017 - America’s Conference on Information Systems: A Tradition of Innovation, 2017-August, 1–10.
]Search in Google Scholar
[
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. In Internet Research (Vol. 14, Issue 3).10.1108/10662240410542652
]Search in Google Scholar
[
Quah, J. T. S., Chua, Y. W. (2019). Chatbot assisted marketing in financial service industry. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11515 LNCS.10.1007/978-3-030-23554-3_8
]Search in Google Scholar
[
Richad, R., Vivensius, V., Sfenrianto, S., Kaburuan, E. R. (2019). Analysis of factors influencing millennial’s technology acceptance of chatbot in the banking industry in Indonesia. International Journal of Civil Engineering and Technology, 10(4), 1270–1281.10.34218/IJM.10.3.2019.011
]Search in Google Scholar
[
Ringle, C. M., Wende, S., Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved From.
]Search in Google Scholar
[
Rogers, E. M. (1983). Difiusion of innovations. New York: Free Press.
]Search in Google Scholar
[
Safeena, R., Date, H., Kammani, A., Hundewale, N. (2012). Technology Adoption and Indian Consumers: Study on Mobile Banking. International Journal of Computer Theory and Engineering.10.7763/IJCTE.2012.V4.630
]Search in Google Scholar
[
Sarbabidya, S., Saha, T. (2020). Role of Chatbot in Customer Service: A Study from the Perspectives of the Banking Industry of Bangladesh. International Review of Business Research Papers, 16(1).
]Search in Google Scholar
[
Sathye, M. (1999). Adoption of Internet banking by Australian consumers: an empirical investigation. International Journal of Bank Marketing, 17(7), 324–334.10.1108/02652329910305689
]Search in Google Scholar
[
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). https://doi.org/10.1016/j.elerap.2009.07.00510.1016/j.elerap.2009.07.005
]Search in Google Scholar
[
Shaikh, A. A., Karjaluoto, H. (2015). Telematics and Informatics Mobile banking adoption: A literature review. In Telematics and Informatics (Vol. 32, Issue 1, pp. 129–142). Elsevier Ltd.10.1016/j.tele.2014.05.003
]Search in Google Scholar
[
Shankar, A., Kumari, P. (2016). Journal of Internet Banking and Commerce Factors Affecting Mobile Banking Adoption Behavior in India. Journal of Internet Banking and Commerce, 21(1).
]Search in Google Scholar
[
Tabachnick, B. G., Fidell, L. S. (2007). Using Multivariate Statistics. In Boston: Pearson Allyn and Bacon (5th ed.). MA: Pearson.
]Search in Google Scholar
[
Tarbal, J. (2020). Chatbots in Financial Services: Benefits, Use Cases & Key Features | 2020. https://www.artificial-solutions.com/blog/chatbots-financial-services-benefits-use-cases
]Search in Google Scholar
[
Trivedi, J. (2019). Examining the Customer Experience of Using Banking Chatbots and Its Impact on Brand Love: The Moderating Role of Perceived Risk. Journal of Internet Commerce, 18(1).10.1080/15332861.2019.1567188
]Search in Google Scholar
[
Venkatesh, Thong, Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1).10.2307/41410412
]Search in Google Scholar
[
Venkatesh, V., Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2).10.1287/mnsc.46.2.186.11926
]Search in Google Scholar
[
Venkatesh, V., Morris, M. G., Davis, G. B., Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3).
]Search in Google Scholar
[
Vieira, A., Sehgal, A. (2017). How banks can better serve their customers through artificial techniques. In Digital Marketplaces Unleashed.
]Search in Google Scholar
[
Yang, S., Lu, Y., Gupta, S., Cao, Y., Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1).10.1016/j.chb.2011.08.019
]Search in Google Scholar
[
Yang, Y., Liu, Y., Li, H., Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253–269.10.1108/IMDS-08-2014-0243
]Search in Google Scholar
[
Yousafzai, S. Y. (2012). A literature review of theoretical models of Internet banking adoption at the individual level. In Journal of Financial Services Marketing (Vol. 17, Issue 3, pp. 215–226).10.1057/fsm.2012.19
]Search in Google Scholar