In the modern world, Mobile Banking concept is most important and it change people's life style also. But in Sri Lankan context, Mobile Banking usage and its adoption is at lower level than the offline banking usage. In order to improve this situation bank must identify what are the factors that influence customer adoption to mobile banking and bank must address directly those factors. The study was done to find the factors influencing customer adoption of mobile banking in Sri Lanka. This study hopes to identify impact of convenience to mobile banking, impact of reliability to mobile banking, impact of accessibility to mobile banking, impact of security to mobile banking and impact of awareness to mobile banking. Questionnaire was used to collect primary data for the study and the researcher used to 120 respondents as sample through the online survey . Secondary data also used for this research such as published data in bank websites, internet sources and documents. The researcher has used customer adoption on mobile banking as dependent variable and convenience, reliability , accessibility , security and awareness as independent variables. The study is used multiple regression analysis to assess the impact of factors influencing to customer adoption on mobile banking and SPSS is used as analysis tool of this research. According to the regression model, the study reveals that the all selected independent variables positively impact to the customer adoption on mobile banking. The recommendation is that bank must address those positively impact factors through their marketing programs. Then the bank will be increased their mobile Banking market space as well as people will be able to consume Mobile Banking facilities and its benefits.

Foreign Direct Investment (FDI) has become an engine of growth and vital for economic development. Sri Lanka has also been entertaining FDI seeking acceleration of economic growth through various channels such as employment generation, poverty alleviation and creating foreign exchange. However, the factors that are likely influence the FDI inflow has been varied country to country in terms of their Institutional and socio-economic characteristics. Accordingly, this study investigates the determinants of FDI in Sri Lanka during the time period from 1990 to 2017, using annual time series data extracted from the World Bank, and Central Bank databases. We can choose the data reason of 1990 to 2017, that datas have stronger and stability to identify in the determinents in FDI. As determinants, the study incorporates six variables such as gross domestic product, inflation, trade openness, labor force and tourism income. The study employs ADF unit root test, Johansen’s Co integration analysis and Error correction model based on the Vector error correction model (VECM) to ascertain the significance of macroeconomic and country specific factors on FDI inflow in Sri Lanka. The results derived from this study suggest that all variables are significantly influencing on the FDI in the long run. Gross domestic product and labor force have positive impact, whereas inflation, trade openness, and tourism income are found to hurt FDI.

As the use of artificial intelligence (AI) gradually becomes an integral part of contemporary work settings, the awareness of AI, which can be defined as the extent to which employees feel that their jobs can be replaced by the automated systems, has proven to be a potentially influential factor of affective and psychosocial consequences, such as affective states, work-family balance, and emotional well-being on the whole. The present investigation aims to clarify the mediating variables that relate AI awareness to emotional exhaustion, in particular, the mediating role of perceived job insecurity, work demands, and family obligations. The study used a convenience sample of 303 employees (49.8% men) and conducted hierarchical regression models with bootstrap resampling to investigate mediation. The analytic approach included direct effect, indirect paths of AI awareness to emotional exhaustion and their serial mediation, and then the indirect path of the same to work insecurity and through work-family interference. The results showed that there was a significant positive relationship between AI awareness and emotional exhaustion. Moreover, AI awareness was positively related to perceived job insecurity, which, in turn, was positively related to emotional exhaustion. Parallel analyses indicated that AI awareness was also associated with increased work-family interference, which in turn was associated with increased emotional exhaustion. More importantly, job insecurity and work-family interference sequentially mediated the relationship between AI awareness and emotional exhaustion, suggesting a compounded negative pathway. Such findings highlight the urgent need for organizational leaders to address the twin issues of maintaining job security and achieving a balanced work-life environment, given that AI is being introduced as a source of workplace stress. In practice, it will entail open discussion of AI implementation, the design of overall reskilling programs, and the introduction of flexible working models to help reduce AI-related stressors and protect employees' psychological well-being.

This study investigates the determinants affecting Sri Lanka's trade balance (TB) using time series data from 1990 to 2020. It explores key macroeconomic variables, including inflation (INF), foreign direct investment (FDI), gross domestic product (GDP), exchange rate (ER), tariffs (TFF), and broad money (BM), employing techniques such as the ADF unit root test, ARDL approach, CUSUM plot test, and long-run test. The results reveal that, in the long run, tariffs positively influence the trade balance, while inflation, GDP, and the exchange rate have a negative impact. In the short run, only the exchange rate shows a significant effect. These findings highlight the crucial role of macroeconomic factors in shaping Sri Lanka’s trade balance, offering valuable insights for policymakers to develop strategies that could improve the country's economic stability.

The aim of the study is to examine the impact of macroeconomic variables on stock market performance in Sri Lanka. This study uses yearly data collected from the annual report of the Central Bank of Sri Lanka for the period from 1990 to 2019. Macroeconomic variables used in this study are interest rate, inflation rate, real exchange rate, and money supply while All Share Price Index (ASPI) is used to measure the stock market performance. Inflation rate and interest rate are found stationary at zero levels while exchange rate, money supply and stock market performance are found stationary at levels one in the Augmented Dickey-Fuller (ADF) test. No serial correlation is found among variables by employing Breusch-Godfrey LM Test. The Auto-Regressive Distributed Lag (ARDL) bounds test is used to test the long-run and short-run relationships between variables. The empirical result reveals that there is a negative and significant impact of interest rate and inflation rate on stock market performance while exchange rate and money supply do not hold any significant impact on stock market performance in the long-run. Further, it is found that there is a negative and significant impact of interest rate on stock market performance in the short run.

Purpose: The project is a qualitative, descriptive study of the nexus between students positive emotional experiences in academic leadership courses and self-reported learning in leadership. Design/Methodology/Approach: The research team conducted a qualitative study of 298 comment entries collected in post-course surveys. These were the sentiments of students who completed leader-development academic courses over three years of academic studies. The surveys asked respondents to identify the prevailing emotions they often experienced in the classroom and how these emotions enhanced or hindered their learning during the semester. Findings -The findings reveal that students have identified their positive emotional experiences in a leadership course as having a significant impact on their leadership education and involvement in the course. Overall, the student commentaries indicate that positive emotions were triggered by their active participation in the course, and the three most frequently mentioned emotions were interest, joy, and serenity/contentment. The participants perceived these affective states as increasing their desire to attend classes, engage in classroom activities, deepen their understanding of leadership subjects, and transfer their learning about leadership outside the classroom. Originality/Value - Although educational research has long recognised the importance of emotions, their application to leadership-oriented classes has not been studied adequately. This is the first of its kind, as it explains the relationships between emotional responses to the leadership classes and students learning behaviours, revealing the major processes that help youths gain leadership skills through formal studies in academic institutions.