Purpose: The purpose of this study was to assess the impact of fiscal policies on Kenya's foreign direct investment inflows. The independent variable included fiscal policy with external public debt, domestic debt, infrastructure and tax. Materials and Methods: The research attempts to explain the FDI inflows in Kenya and was calculated quarterly on the basis of FDI inflows in the nation. For 20 years (January 1998-December 2017) secondary data were gathered annually. In order to investigate the association between the variables the study utilized a descriptive research methodology using a time series model. For data analysis objectives, Python software was utilized. Results: Regression of coefficients results shows that government expenditure on infrastructure and FDI are positively and significantly. It was also revealed that external debt and FDI are negatively and significantly related. Domestic debt and FDI are negatively and significantly related. The results regression results showed that taxation measured as tax revenues and FDI are positively and significantly related. Unique contribution to theory, practice and policy: The study findings validate the internalization theory. Findings indicate that the theory is applicable in the study of investments. In addition, the findings may in future serve as platform for additional studies in the same subject for other academics, students and researchers. Investors would benefit from the recommendations set out in this study to attract more FDI investment by implementing trade-balanced actions, limiting corruption, implementing income-collection tax policies and promoting international trade to ensure competitiveness in Kenyan products.

The main purpose of the study was to establish the moderating effect of government regulations on the relationship between internal control system and fraud prevention in baking sector. Structured questionnaire was used as tool for data collection. The study was based on all banks registered and operating in Kenya and the questionnaires were meant for branch managers, operations mangers and cash managers in head offices of all banks. One hundred and seventeen questionnaires were distributed and officers from 33 banks out 39 banks returned fully filled questionnaires. The questionnaires were analyzed using Structural equation Model (SEM). The findings indicated that the government regulations have significant moderating effect of control environment and risk assessment. However, there was insignificant moderating effect on control activities, communication and monitoring of activities. The study suggested that further studies and analysis should be undertaken to establish those legislations and regulations that should be enhanced, abolished and also establish need of new laws to enhance the functions of internal control system.

The current environment in Kenya's public Universities is a turbulent one and highly competitive. To ensure survival and sustainability, public Universities require to adopt and implement competitive strategies. Thus, the study sort to determine the moderating influence of sustainability strategies on the relationship between institutional management practices and performance of chattered public universities in Kenya. To achieve the objective, the study was based on a pragmatic philosophy and mixed research method with a target population of 31 chattered public Universities. Census approach was used with 234 respondents who were university top managers. Primary data was collected using a 5 point Likert type questionnaire. The instrument was validated by research experts and yielded a Cronbach's reliability between alpha of α= 78.7-80.6. Data was analysed using descriptive and inferential statistics. Primary data was collected using a 5 point Likert type questionnaire and an interview guide. Data was analyzed using descriptive and inferential statistics. The regression analysis revealed that institutional management alone accounts for 52% of the variation of performance of chattered public Universities (Adjusted R 2 =0.52). Sustainability strategies account for 39% (Adjusted R 2 =0.39). The interaction term (institutional management and sustainability strategies) accounted for 72 % of the variations in performance of chattered public

Predictive analytics is concerned with the prediction of future trends and outcomes. The approaches used to conduct predictive analytics can be classified into machine learning techniques and regression techniques. This study dteremined the influence of fintech predictive modeling on performance of investment firms in Kenya. The study population was 57 investment firms. The study employed mixed method research design by incorporating descriptive and explanatory research designs. Data was collected using questionnaires and an in-depth interview guide. Coefficient of fintech predictive modeling has a positive and significant effect on performance of investment firms. The study concluded that fintech predictive modeling allows investment firms to forecast business growth and customer behaviour chnages. It is important for an investment firm to be able to understand business growth by accurately forecasting future growth and survival. Moreover, it is of vital necessity to understand changes in customer buying/consumption behavior so as to develop products and services that suit their needs and preferences. As a result, predictive modeling is required to project future business growth and changes in customer consumption pattern.

The current operational setup in Kenya’s Universities is a turbulent one and highly competitive market condition. To ensure survival and sustainability, public universities require to adopt and implement competitive strategies. Many scholars have investigated sustainability efforts by Universities in pursuit of performance, however, it is still not clear how sustainable strategies have the greatest influence on the performance of Public Universities.  Thus, the study set to establish the influence of sustainability strategies on the performance of Public Universities in Kenya. The study was anchored on resource-based theory. To achieve the objectives, the study was anchored on a pragmatic philosophy and mixed research design with a target population of 234 University top managers. Primary data was collected using a 5 point Likert-type questionnaire and an interview guide. Data were analyzed using descriptive and inferential statistics. Findings revealed that sustainability strategies had a significantly statistical influence on the performance of public universities in Kenya. The regression analysis for composite results revealed that sustainability strategies (SS) alone account for 53% of the variation of performance of Public Universities (R2=0.53, (t=7.68, p<0.05). Regression analysis for individual results, cost reduction (CR) (R2 0.518, t=18.07 p, <0.05), collaboration (C) (R2=0.418, t=2.7 p, <0.05) and diversification (D) (R2=0.218, t=8.07 p, <0.05). This study concluded that implementation of sustainability strategies (cost reduction, diversification, and collaboration) are essential strategies Public Universities can use in their endeavor to improve their performance.