PORTFOLIO RISK MANAGEMENT AND PERFORMANCE OF SOCIAL PROTECTION PROGRAMME IN KENYA

Abstract

This study sought to establish the influence of project portfolio risk management on the performance of social protection programme in Kenya. This study was anchored on Modern Portfolio Theory. This study used descriptive research design and post positivism approach. This study targeted 88 NGOs working on social protection programme in Kenya. In every NGO, the study targeted 5 respondents comprising of 1 top manager, 2 project managers, and 2 donor representatives. The total target population was therefore 440 respondents. This implies that the unit of analysis was the 88 NGOs while the unit of observation was 440 respondents comprising of top managers, project managers, and donor representatives. This study adopted Yamane (1967) simplified formula to calculate the sample size of 210 respondents. Primary data collected using semi-structured questionnaire was used. The researcher carried out a pilot study on 10 % representative of the managers taken from the target population. Quantitative data collected was analyzed using descriptive statistics techniques.  Pearson R correlation was used to measure the strength and direction of the linear relationship between variables. A multiple regression model was fitted to the data to determine how the independent variables influence the dependent variable. The findings were presented in tables and figures. Qualitative data was analyzed using content analysis and presented in prose form. Based on the findings, the study concluded that portfolio risk management positively and significantly influences the performance of social protection programmes in Kenya. The study recommends that the management of social protection programmes in Kenya should develop a comprehensive risk assessment framework is essential. This framework should meticulously identify potential risks associated with social protection programs. It should encompass a thorough analysis of both internal and external risks, providing a solid foundation for risk management strategies.

Key Words: Portfolio Risk Management, performance of social protection programmes, and Modern Portfolio Theory