Role Of Automation Management Strategies On Revenue Growth Of Selected Lake Region Economic Bloc Counties In Kenya: Moderating Effect Of Political Influence

Abstract

The most important aspect of organizational management is revenue. It is the one that keeps the organization running day in day out. Thus, it is in order to manage revenue efficiently as the environments keep changing, thus adapting technology in response to the changes will greatly improve management in organizations. The goal of this study was to determine the effects of automation management strategies on revenue growth in Kenya's Selected Lake Region economic bloc counties. The specific goals were to ascertain the impact of the revenue mobilization strategy, ascertain the impact of the real-time strategy, ascertain the impact of the fraud control strategy, and ascertain the impact of the monitoring and tracking strategy on revenue growth in Kenyan county governments. The study was guided by McKinsey 7S Model, resource based view theory and organizational change management theory. Descriptive research design approach was used. The study covered 7 selected counties in the lake region economic bloc. The 331 employees who worked in revenue collection were the study's target population. 259 respondents made up the sample size, which was determined using a stratified and random sampling procedure. With the help of a closed-ended, structured questionnaire, primary data was gathered. The university supervisors and experts were consulted in order to establish the research instrument's face validity, construct validity, and content validity. Reliability was established by conducting a pilot study in Uasin-Gishu County where 26 questionnaires were administered and reliability was determined by using Cronbach Alpha coefficient of more than .746 was accepted. Data was collected, edited, and coded before being analyzed using descriptive statistics methods such as means, percentages, and standard deviations, and data was displayed as tables and figures. Pearson Product moment correlation was used to gauge the relationship's strength, and simple linear regression was used to gauge how the independent variable affected the dependent variable. The study discovered that increasing one unit of tax revenue resulted in a significant increase in revenue growth. Increase in one unit of real time report led to increase in revenue growth and it was found to be significant. An increase in one unit of fraud control led to a decrease in revenue growth and was significant. An increase in one unit of monitoring and tracking led increase in revenue growth and was found to be significant. Lastly increase in monitoring and tracking by one unit led to 1.263 increases in revenue growth and it was indicated as significant. The study concluded that: performance targets were being monitored and tracked on a daily basis, monitoring and tracking had a positive and significant relationship with political influence and revenue growth. The study recommended that revenue targets to be set in a way that they can be monitored and tracked easily in the system the study recommended that hiring and transfers should be done based on merits.