STRATEGIC DRIVERS AND ADOPTION RATE OF INTEGRATED FINANCIAL MANAGEMENT INFORMATION SYSTEM: A CASE OF KENYAN COASTAL COUNTIES
Abstract
This research aimed to explore the effects of strategic factors on the adoption rate of IFMIS by county governments in Kenya, with a particular emphasis on the Coastal area. In particular, the researcher objective was to explore the impact of corporate culture, and staff capacity building on the adoption rate of IFMIS by county governments in the Coast region. The research used a descriptive survey methodology. This study targeted employees of the six County Governments in Kenya's coastline region, specifically those in the Finance department. Using stratified random selection, a sample of 160 respondents was chosen from a population of 1,600 employees using the probability sampling method. Utilizing survey questions, the researcher collected primary data for analysis, which was then tallied in Microsoft Excel. Quantitative approaches were utilized in the study's analysis since they provide more in-depth information. Statistical Package for the Social Sciences (SPSS) software was utilized for analysis and derivation of the association between variables via correlation and regression analysis models. In the coastal counties of Kenya, there was a substantial positive correlation between employee capacity building, organizational culture, and the adoption rate of IFMIS. These strategic drivers have a substantial impact on the adoption rate of IFMIS in the Counties; hence, the study advises that county governments create policies to guide the installation of new systems, including IFMIS. This includes completing staff capacity building to provide them with the essential skills prior to implementing any new system. In addition, the report proposes that county governments provide accommodating corporate cultures, which are essential for implementing new systems such as IFMIS.
[1] Mbogho, P. K., Majalia, M. & Mwagandi, S.M., (2023). Strategic Drivers and Adoption Rate of Integrated Financial Management Information System: A Case of Kenyan Coastal Counties. Social Sciences & Humanities Open, 7(2023), 155-171
2590-2911/© 2023 The Authors. Published by Elsevier Ltd.
Social Sciences & Humanities Open 7 (2023) 100101.
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