Determinants of the adoption of an integrated financial management system A case of Mombasa county government
In many developing countries, IFMIS is endorsed as an essential component for public financial reforms. The government of Kenya through the Ministry of National treasury set to carry out Public Financial Management (PFM) reforms with the adoption of the Integrated Financial Management Information System (IFMIS) in 1998 and its subsequent deployment to ministries in 2003. IFMIS is an information system customized to perform budgeting, accounting and reporting. It’s a system used by the Government of Kenya to plan and use its financial resources in a more efficient and effective manner. The purpose of this study was to evaluate the determinants for the adoption of IFMIS within one of the 47 Counties in Kenya; Mombasa County Government. The study looked at the determinants of the adoption of IFMIS including end user training and training materials at the time of adoption where the study found out that this is one of the key areas that determine the success of adopting a new system within an organization although most users tend not to pay much attention to training which leads to the system being underutilized or even not being able to meet its objective. The hardware and network infrastructure was required to support smooth and seamless running of IFMIS and from our findings, poor network infrastructure and lack of proper hardware equipment had a negative influence on the adoption of IFMIS. Lastly, the attitude from their stakeholders who in one way or another affect the adoption of a new system and from our findings, they were not intensely involved. The study adopted a descriptive survey design (quantitative methods) to help determine specific opinion of the people involved in the adoption process by the use of questionnaires. The population targeted by the study was 606 participants. Based on the work of Yamane (1967), a sample size of 86 participants was adopted form which 68 respondents successfully responded. Stratified sampling technique was further used to split the population into five strata. The study further adopted the simple random sampling for each strata. The data collected was analyzed using the statistical package for social science (SPSS). Descriptive statistics was used to present the results of the study; this involved tabulating and describing data. It is recommendable to have a learning environment planned early and have the right hardware as well as network infrastructure in place and tested before adopting a new system. Involving stakeholders at the planning stages of adopting a new system is important as they may critic the system in a positive way which positively affect the organization.