MONITORING TOOLS AND PERFORMANCE OF AFFORDABLE HOUSING PROJECTS IN NAIROBI CITY COUNTY, KENYA

Abstract

Affordable housing projects in Kenya play a crucial role in supporting economic development, trade, and social integration. However, these projects often face significant challenges, leading to delays, cost overruns, and compromised quality. The main focus of this study was to examine the influence of monitoring tools on performance of affordable housing projects in Nairobi City County, Kenya. Specifically, the study sought to determine the effect of logical framework on performance of affordable housing projects in Nairobi City County, Kenya and to find out the effect of result framework on performance of affordable housing projects in Nairobi City County, Kenya. The theories that were used in this study are realistic evaluation theory, and implementation theory. This study adopted a cross-sectional research design. The unit of analysis in this study was 105 interventions under the implementation of Nairobi City County (2024). The unit of observation, on the other hand, comprised of 85 members of county assembly, 170 members of the public (two members from each ward office), 17 project officers and 7 M&E officers. The total target population was therefore be 279 respondents. Due to small target population census method was adopted. This implies that all the respondents participated in the study. This research utilized a questionnaire as the primary data collection instrument. In this study pretesting involved 28 respondents (10% of the sample size). SPSS version 26 was used to analyze the data that was collected from the field. Quantitative data collected was analyzed using descriptive statistics techniques. Qualitative data was analyzed using content analysis and presented in prose form.  The inferential analysis was used where correlation and regressions were used in the data analysis. The findings were presented in tables and figures. The correlation analysis revealed a strong positive correlation between project performance of affordable housing projects in Nairobi City County and each of the monitoring tools, logical framework (r = 0.725, p < 0. 05), and result framework (r = 0.630, p < 0. 05). These significant correlations indicate that as the effectiveness of each monitoring tool increases, so does the performance of affordable housing projects. The study's regression analysis revealed significant coefficient findings for each variable. Logical Framework demonstrated the highest positive coefficient (β = 0.421, p < 0.05), emphasizing its critical role in influencing project performance. Similarly, Result Framework exhibited a significant positive coefficient (β = 0.313, p = 0.001), indicating its substantial influence on project performance. To optimize project outcomes, it is recommended to prioritize the implementation of comprehensive baseline surveys, enhance performance review mechanisms, strengthen logical and result frameworks, and ensure their effective integration into project management practices. These findings underscore the importance of strategic planning, monitoring, and evaluation processes in enhancing the performance of affordable housing projects in Nairobi City County, Kenya.

Key words: logical framework, result framework, performance, affordable housing projects