E-GOVERNANCE AND SERVICE DELIVERY IN KOGI STATE MINISTRY OF FINANCE, BUDGET AND ECONOMIC PLANNING

This study examined E-governance and Service Delivery in Kogi State Ministry of Finance, Budgeting and Economic Planning. Three research questions, objectives and two hypothesis were developed to guide the study The significance of the study was aimed at upholding transparency in Kogi State Ministry of Finance, Budget and Economic Planning and other Public organizations in Kogi State, as this will create development in all spheres of life. The study reviewed various theories relating to the concept of E-governance and service delivery which include; New Public Management theory, Unified Theory of Acceptance and use of Technology, Technology Acceptance Model (TAM) and the Technology Acceptance Model theory was adopted as the theoretical framework for the study. The study employed the use of survey descriptive research design. The total population for the study is 1,500 and 316 responses were used for the survey as the sample size. From the responses obtained and analyzed, the findings revealed that the null hypothesis which states that; there is no significant relationship between ICT infrastructure and service delivery in Kogi State Ministry of Finance, Budgeting and Economic Planning is rejected and the alternate hypothesis which states that; there is a significant relationship between ICT infrastructure and service delivery in Kogi State Ministry of Finance, Budgeting and Economic Planning is accepted based on the findings, the study recommended that; the government of Kogi State Ministry of Finance, Budgeting and Economic Planning should develop ICT policy specifically for the Ministry so as to ensure that challenges such as poor network, lack of ICT infrastructure and power interruptions are addressed, Kogi State Ministry of Finance, Budgeting and Economic Planning and other public organisations should understand their employees level of technophobia before implementing new technologies. This understanding may help them anticipate the likelihood of employee’s use of new technologies and help them change their strategies and approaches for implementing new technologies.