INFORMAZIONI SU QUESTO ARTICOLO

Cita

Aashima, & Mohanty, B. (2022). How blockchain can transform the financial services ındustry. In K. Sood, R. K. Dhanaraj, B. Balusamy & S. Kadry (Eds.), Blockchain technology in corporate governance (pp. 253–281). https://doi.org/10.1002/9781119865247.ch12 Search in Google Scholar

Altman, E., Iwanicz-Drozdowska, M., Laitinen, E., & Suvas, A. (2020). A race for long horizon bankruptcy prediction. Applied Economics, 52(37), 4092–4111. https://doi.org/10.1080/00036846.2020.1730762 Search in Google Scholar

Barboza, F., Kimura, H., & Altman, E. (2017). Machine learning models and bankruptcy prediction. Expert Systems with Applications, 83, 405-417. https://doi.org/10.1016/j.eswa.2017.04.006 Search in Google Scholar

Boot, A., Hoffmann, P., Laeven, L., & Ratnovski, L. (2021). FinTech: What’s old, what’s new? Journal of Financial Stability, 53, 100836. https://doi.org/10.1016/j.jfs.2020.100836 Search in Google Scholar

Cata, T., & Lee, S. M. (2006). Adoption of web-based applications in the financial sector: The case of online insurance. Journal of Internet Commerce, 5(2), 41–61. https://doi.org/10.1300/J179v05n02_03 Search in Google Scholar

Cashless. (2021). The map of Polish Fintech. https://www.cashless.pl/report/mapapolskiego-fintechu-2021-ang.pdf Search in Google Scholar

Durkin, M., Jennings, D., Mulholland, G., & Worthington, S. (2008). Key influencers and inhibitors on adoption of the Internet for banking. Journal of Retailing and Consumer Services, 15(5), 348–357. https://doi.org/10.1016/j.jretconser.2007.08.002 Search in Google Scholar

Eling, M., Nuessle, D., & Staubli, J. (2022). The impact of artificial intelligence along the insurance value chain and on the insurability of risks. The Geneva Papers on Risk and Insurance – Issues and Practice, 47, 205–241. https://doi.org/10.1057/s41288-020-00201-7 Search in Google Scholar

Faridpour, M., & Moradi, A. (2020). A novel method for detection of fraudulent bank transactions using multi-layer neural networks with adaptive learning rate. International Journal of Nonlinear Analysis and Applications, 11(2), 437–445. https://doi.org/10.22075/ijnaa.2020.4576 Search in Google Scholar

Harasim, J. (2021). FinTechs, BigTechs and banks—when cooperation and when competition? Journal of Risk and Financial Management, 14(12), 614. https://doi.org/10.3390/jrfm14120614 Search in Google Scholar

Hu, X. (2005). A data mining approach for retailing bank customer attrition analysis. Applied Intelligence, 22(1), 47–60. https://doi.org/10.1023/B:APIN.0000047383.53680.b6 Search in Google Scholar

Jünger, M., & Mietzner, M. (2020). Banking goes digital: The adoption of FinTech services by German households. Finance Research Letters, 34, 101260. https://doi.org/10.1016/j.frl.2019.08.008 Search in Google Scholar

Kitsios, F., Giatsidis, I., & Kamariotou, M. (2021). Digital transformation and strategy in the banking sector: Evaluating the acceptance rate of e-services. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 204. https://doi.org/10.3390/joitmc7030204 Search in Google Scholar

Kliber, A., Będowska-Sójka, B., Rutkowska, A., & Świerczyńska, K. (2021). Triggers and obstacles to the development of the FinTech sector in Poland. Risks, 9(2), 30. https://doi.org/10.3390/risks9020030 Search in Google Scholar

Lee-Ying, T., Hen-Toong, T., & Gek-Siang, T. (2022). Digital financial inclusion: A gateway to sustainable development, Heliyon, 8(6). https://doi.org/10.1016/j.heliyon.2022.e09766 Search in Google Scholar

Marano, P., & Li, S. (2023) Regulating robo-advisors in ınsurance distribution: Lessons from the Insurance Distribution Directive and the AI Act. Risks, 11(1), 12. https://doi.org/10.3390/risks11010012 Search in Google Scholar

Menendez, S., & Hassani, B.(2021). Expected shortfall reliability—added value of traditional statistics and advanced artificial ıntelligence for market risk measurement purposes. Mathematics, 9(17), 2142. https://doi.org/10.3390/math9172142 Search in Google Scholar

Metawa, N., Hassan, M. K., & Metawa, S. (2023). Artificial ıntelligence and big data for financial risk management. Intelligent applications. Routledge. Search in Google Scholar

Miguel-Dávila, J. Á., Cabeza-García, L., Valdunciel, L., & Flórez, M. (2010). Operations in banking: The service quality and effects on satisfaction and loyalty. Service Industries Journal, 30(13), 2163–2182. https://doi.org/10.1080/02642060903289936 Search in Google Scholar

Muganyi, T., Yan, L., Yin, Y., Sun, H., Gong, X., & Taghizadeh-Hesary F. (2022). FinTech, RegTech, and financial development: Evidence from China. Financial Innovation, 8(29) https://doi.org/10.1186/s40854-021-00313-6 Search in Google Scholar

Piotrowski, D. (2023). Privacy frontiers in customers’ relations with banks. Economics and Business Review, 9(1), 119–141. https://doi.org/10.18559/ebr.2023.1.5 Search in Google Scholar

Prisznyák, A. (2022). Bankrobotics: Artificial ıntelligence and machine learning powered banking risk management prevention of money laundering and terrorist financing. Public Finance Quarterly, 67(2), 288–303. https://journals.lib.uni-corvinus.hu/index.php/penzugyiszemle/article/view/1194/629 Search in Google Scholar

PwC. (2022). Uncovering the ground truth: AI in Indian financial services. PricewaterhouseCoopers Private Limited. Search in Google Scholar

Selimović, J., Pilav-Velić, A., & Krndžija, L. (2021). Digital workplace transformation in the financial service sector: Investigating the relationship between employees’ expectations and intentions, Technology in Society, 66, 101640. https://doi.org/10.1016/j.techsoc.2021.101640 Search in Google Scholar

Shala, A., & Perri, R. (2022). Regulatory barriers for fintech companies in Central and Eastern Europe. Eastern Journal of European Studies, 13(2), 292–316. https://doi.org/10.47743/ejes-2022-0214 Search in Google Scholar

Siddik, M. N. A., & Kabiraj, S. (2020). Digital finance for financial inclusion and inclusive growth. In B. George & J. Paul (Eds.), Digital transformation in business and society (pp. 155–168). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-08277-2_10 Search in Google Scholar

Solarz, M., & Adamek, J. (2022). Determinants of digital financial exclusion as a barrier to the adoption of mobile banking services in Poland. Ekonomia i Prawo, 21(2), 503–525. https://doi.org/10.12775/eip.2022.028 Search in Google Scholar

Steiner, P. H., & Maas, P. (2018). When customers are willing to disclose information in the insurance industry: A multi-group analysis comparing ten countries. International Journal of Bank Marketing, 36(6), 1015–1033. https://doi.org/10.1108/IJBM-12-2016-0183 Search in Google Scholar

Trivedi, S. K. (2020). A study on credit scoring modeling with different feature selection and machine learning approaches. Technology in Society, 63, 101413. https://doi.org/10.1016/j.techsoc.2020.101413 Search in Google Scholar

Wang, C., Qiao, C., Ahmed, R. I., & Kirikkaleli, D. (2021). Institutional quality, bank finance and technological ınnovation: A way forward for Fourth Industrial Revolution in BRICS Economies. Technological Forecasting and Social Change, 163, 120427. https://doi.org/10.1016/j.techfore.2020.120427 Search in Google Scholar

Wang, M., Cho, S., & Denton, T. (2017). The impact of personalisation and compatibility with past experience on e-banking usage. International Journal of Bank Marketing, 35(1), 45–55. https://doi.org/10.1108/IJBM-04-2015-0046 Search in Google Scholar

eISSN:
2450-0097
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Business and Economics, Political Economics, other, Finance, Mathematics and Statistics for Economists, Econometrics