| Keywords [eng] |
Financial Technology, FinTech, Banking Digitalization, Lithuanian Banking Sector, Recruitment, Grey System Theory, Forecasting, Internet Banking, Mobile Banking, Human Resource Management |
| Abstract [eng] |
The main purpose of this master thesis is to evaluate the percentage changes in the recruitment of banks due to the increasing use of financial technology in banks in Lithuania and to make predictions for the coming years. The Master thesis consists of three main parts; the analysis of literature, the research and its results, a conclusion and recommendations. Literature analysis reviews definition and history of financial technology, fintech ecosystem, determination of banking systems and the development of systems are examined. Furthermore, analysis of scientific problems in academic literature and the analysis of methods applied in academic research are mentioned in this section. Following the literature analysis, 7 different variables are used, including the total number of banks, branches, employees, ATMs, total number of payment cards, registered internet and mobile banking users and cards pos-terminals. The variables for which Pearson correlation analysis was made were then estimated for the values between 2022 and 2028 using the gray system method. In the last section, the results of the research were evaluated. In line with the results, the number of the total number of ATMs, payment cards, branches, employees and cards pos-terminals are expected to decrease in the coming years. On the other hand, it is estimated that there will be an increase in the number of banks, registered internet, and mobile banking user. The conclusions and recommendations contain the conclusions of the research conducted as well as recommendations for future analysis. Forecasts are based on data up to 2021; actual figures for later years were not included, as validation was beyond the scope of this research. |
