prefix: doi.org/10.52283/1.ajbmr |
Volume :9 Issue :2 Year :2025
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The Moderating Effect of Project Environmental Factors in Financial Risk Management Practices and Performance of Real Estate Construction Projects in Busia County, Kenya
► Murunga Anthony Ekisa Amoo(Corresponding Author)
murungaamoo@gmail.com
https://orcid.org/0000-0002-5504-5455
► Charles Mallans Rambo
► John Mwaura Mbugua
Received: 12 March, 2025
Final Revision: 26 April, 2025
Accepted: 26 April, 2025
Published: 20 May 2025
10.52283/NSWRCA.AJBMR.20250902A05
AbstractThe study aimed to investigate how the moderating effect of project environmental factors in financial risk management practices influences the performance of Real Estate Construction Housing Projects in Busia County. Guided by the objective; to assess the extent to which project environmental factors influence performance of Real Estate Construction Housing schemes in Busia County, Kenya. A descriptive survey research design with a sample size of 298 people drawn from a population of 1,832 was used. Data was collected using a structured questionnaire, interview schedule, focus group discussion, and an observation checklist. Quantitative data was analyzed using descriptive and inferential statistics. The Statistical Package for the Social Sciences (SPSS) version 25 was used for data analysis. Qualitative data was analyzed through thematic interpretation of respondents' accounts. Simple and multiple linear regression analyses, along with Pearson Correlation Coefficient models, were employed to determine the relationship between independent and dependent variables. The hypothesis was tested at an α = 0.05 level of significance, and the outcome was: H₀; There is no significant relationship between moderating project environmental factors in financial risk management practices and the performance of Real Estate Construction Housing Projects in Busia County was rejected, since P = 0.000 < 0.05. The study concluded that there is a significant moderating influence of project environmental factors in financial risk management practices on performance of real estate construction housing projects.Keywords: Project Environmental Factors, Real Estate Construction and Project Performance.Pages:01-16 :: Download-View
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Utilisation of Monitoring and Evaluation Information and Performance of Global Partnership for Education Projects: Ugandan Context
► Martha Christine Olwenyi(Corresponding Author)
► Doroty Ndunge Kyalo
► Raphael Nyaonje
► Reuben Wambua Kikwata
Received: 12 December, 2024
Final Revision: 10 March, 2025
Accepted: 29 March, 2025
Published: 8 June, 2025
AbstractThis study examines the extent to which utilisation of Monitoring and Evaluation information influence performance of Global Partnership for Education projects in Uganda. Uganda continues to grapple with systemic inefficiencies in primary education services such as low completion rates, overcrowded classrooms, inadequate teacher capacity, and poor literacy and numeracy performance among pupils. Despite slight improvement from previous between 2008-2023, literature indicates that more than half of the students do not finish the primary education cycle.
In response to these persistent challenges, the Global Partnership for Education (GPE) has played a critical role in supporting Uganda’s education reforms. Nonetheless, gaps in project performance persist, especially in non-donor-supported schools, where improvements remain marginal. These disparities point to the necessity of examining not only what inputs are provided, but how they are monitored, evaluated, and adapted over time to ensure sustained impact. Moreover, there is limited exploration into the organisational and contextual factors, such as institutional culture and leadership practices, that influence the effective use of M&E information. Consequently, there remains insufficient clarity regarding why considerable inputs from donor-supported initiatives like the GPE fail to consistently translate into sustained improvements in education project performance.
Besides, there is limited literature on the practical use of M&E information, with notable gaps in explaining why project inputs fail to translate into proportional, sustained improvements in education outcomes across different school categories, which merits further research. While theories such as Systems Theory, Results-Based Management, and Organizational Learning Theory are proposed to underpin effective M&E utilisation, there is a scarcity of studies examining how these theoretical frameworks operate practically within low-resource, donor-supported education contexts like Uganda. This presents a critical gap in understanding how theoretical models inform actual decision-making and adaptation processes within educational interventions.
This study adopted a pragmatic research paradigm, integrating both qualitative and quantitative methods. A cross-sectional, descriptive survey design was employed, targeting school staff, district officials, and ministry representatives. Data collection methods included questionnaires, interviews, and focus group discussions. Descriptive and inferential statistical analyses, including regression models, were used to evaluate correlations between study variables. Findings indicate that M&E data significantly informs decision-making, project scaling, and best practice adoption. Regression analysis revealed a positive correlation (R =0.436), with 19% of project performance variability attributed to M&E data utilisation.
The study’s findings indicate that M&E information utilisation significantly impacts GPE project performance. However, the model explains only 19% of the variance, suggesting other influencing factors. Methodological limitations include reliance on self-reported data, potential biases, the cross-sectional design prevents causal inferences and contextual constraints. Future research should explore additional determinants and broader geographical coverage for generalizability. The study confirms that effective use of M&E information enhances project efficiency and learning. The findings highlight the importance of data-driven approaches in improving education project outcomes.
The study highlights the importance of evidence-based decision-making in improving education project outcomes. Strengthening M&E utilisation fosters accountability, transparency, and informed policy-making, ultimately enhancing education service delivery. Improved project performance can lead to better learning environments, increased student success, and equitable access to quality education, contributing to overall community development and social empowerment. This study provides empirical evidence on how data-driven decision-making enhances project effectiveness, offering valuable insights for policymakers, education stakeholders, and development organizations seeking to improve education outcomes in similar contexts.Keywords: Monitoring and Evaluation, Information Utilisation, Project Performance, Global Partnership for Education, Data-Driven Decision Making, Education ProjectsPages:17-31 :: Download-View
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Influence Of Capacity Building for Monitoring and Evaluation on Performance of Smallholder’s Tea Farming Project in Nyamira County, Kenya.
► Stephen Moseria Mesa Corresponding Author)
► Charles Mallans Rambo
► Angeline Sabina Mulwa
Received: 2 March, 2025
Final Revision: 24 May, 2025
Accepted: 4 June, 2025
Published: 9 June, 2025
AbstractTea is a significant cash crop in the agricultural sector, particularly among smallholder tea farmers, for generating income. Smallholder tea farmers’ engagement in capacity building for monitoring and evaluation is crucial in promoting continuous development, enabling various organizations and communities to adapt and thrive. This leads to fostering a sense of ownership and empowerment.
However, research indicates that smallholder tea farmers especially in developing countries are affected by inconsistency and inadequate involvement in capacity-building methods for monitoring and evaluation. As a result, the performance of smallholder tea farming projects has been adversely impacted.
Therefore, the purpose of this study is to examine the influence of capacity building for monitoring and evaluation on the performance of smallholder tea farming projects. Drawing inspiration from the theory of constraints, this study employed purposive and simple random sampling techniques to achieve a non-biased sample of 379 respondents and 12 tea factory board members. Data were collected using questionnaires and interview guides. The Statistical Package for the Social Sciences (SPSS) was used to analyze the data. Quantitative and qualitative information were analyzed using both descriptive and inferential statistics.
The ANOVA results indicated that the F-statistic (1, 369) = 6.633 was significant at a p-value of 0.010 < 0.05, implying that the predictor coefficient is not equal to zero. Hence, the regression model provides a significantly better prediction of the performance of smallholders’ tea farming projects. The results revealed a significant relationship between capacity building for monitoring and evaluation and the performance of smallholder tea farming projects in Nyamira County.Keywords: Capacity Building, Monitoring and Evaluation, Smallholder tea Projects.
Pages:32-45 :: Download-View
