RESOURCE ALLOCATION IN STRATEGY IMPLEMENTATION AND PERFORMANCE OF NAIROBI CITY COUNTY GOVERNMENT, KENYA

Abstract

County governments in Kenya have formulated very good strategies, but their implementation is poor and hence service delivery is still not satisfactory. Challenges facing the implementation of strategies include inadequate financial and human resources. The objective of this study was to establish the effects of resource allocation in strategy implementation on the performance of Nairobi City Government. The study was anchored on resource based-view theory and balanced scorecard theory. The study used an explanatory research design. The units of observation were 161 staff working in 10 departments in Nairobi City Government. Slovin's Formula was used to estimate the sample size and stratified random sampling was used to select 114 participants from the entire population. The research used of both primary and secondary data. Secondary data was obtained from the annual reports (commission on revenue allocation annual report and county public service board annual report) of Nairobi City Government while semi-structured questionnaires were employed in the collection of primary data. Quantitative data was generated from the closed-ended questions while qualitative data from open-ended questions. Analysis of qualitative data was done through use of thematic analysis and presentation of results was in a narrative form. Analysis of quantitative data was done through use of both Inferential and descriptive statistics with the help of Statistical Package for Social Sciences (SPSS version 22). Descriptive statistics included frequency distribution, mean (a measure of dispersion), standard deviation (a measure of dispersion) and percentages. Inferential statistics included Pearson correlation analysis and regression analysis. The study found that resource allocation explains 27.5% of the performance of Nairobi City County Government. The study revealed that that resource allocation has a positive and significant influence on performance of the county governments (p-value= 0.000