Volume 5 Issue 1
Permanent URI for this collectionhttps://repository.mua.ac.ke/handle/123456789/1484
Browse
Item INDIGENOUS LEAFY VEGETABLES AND SUSTAINABILITY OF RURAL ECONOMIES OF ELGEYO-MARAKWET COUNTY IN KENYA(management university of africa, 2024-11) Elizabeth Chemeli Kiprono; Dr. Domeniter Naomi KathulaThe study investigates the contribution of Indigenous Leafy Vegetables to food sustainability and rural economies in Elgeyo-Marakwet County, Kenya. The specific objectives were to assess the contribution of ILVs in sustainable food systems and explore their role in strengthening rural economic resilience. Anchored on Agroecology Theory, the study actually aimed at 320 members of both the Marakwet and Senger communities through the application of purposive sampling targeted at those households engaging in ILV farming and trade. Data were collected using semi structured questionnaires, describing the role of ILV in sustaining agriculture and income stability among rural dwellers. Findings indicate that ILVs are one of the most nutritious foods contributing to food sustainability and rural economic stability, as they require less input to produce and are perfectly adapted to local agroecological practices. However, poor market access and inadequate infrastructure, accompanied by low commercialization potential, limit the economic and sustainability impact of these ILVs. Policies are therefore recommended to support market linkages, value chains, and improvement of infrastructure that would enhance the role of ILVs in food sustainability and rural economiesItem STRATEGIC MANAGEMENT PRACTICES AND ORGANIZATIONAL PERFORMANCE OF STATE DEPARTMENTS IN KENYA: A CASE STUDY OF THE DEPARTMENT OF AGRICULTURE(management university of africa, 2024-11) Wangeci, Susan Kiogora; Dr. Domeniter Naomi KathulaThe main goal of this research was to investigate the effects of strategic management practices on the organizational performance of state departments in Kenya, with a focus on the State Department of Agriculture. The specific objectives were to examine the effect of environmental scanning and strategic implementation on the organizational performance of state departments in Kenya. The study was guided by system theory, resource-based theory, agency theory, and goalsetting theory. A descriptive research design was employed, targeting 659 employees at the State Department of Agriculture in Upper Hill, with a sample size of 249 respondents determined using the Yamane formula. A pilot investigation was conducted to test for reliability and validity. SPSS software Version 25 was used to analyze the data, with the findings presented in tables. Ethical considerations were observed throughout the study. The study concluded the following: Environmental scanning significantly impacts the performance of Kenyan state agencies. Regular monitoring of dynamic environments, coupled with attention to diversity, enhances competitive response and strengthens organizational effectiveness. Strategic implementation also substantially influences outcomes, with efficient resource allocation and monitoring being essential, though further adjustments in resources are necessary to fully achieve strategic objectives. The report recommends that Kenyan state agencies improve their environmental scanning and strategic implementation processes to improve overall organizational effectiveness. Agencies should improve their environmental scanning procedures by focusing on competitive and dynamic situations, formulating strategic responses, and incorporating multiple viewpoints to adjust quickly to changing conditions. Strategic implementation requires prioritizing effective resource allocation and creating rigorous progress monitoring tools. Clear communication and professional development options, such as mentorship and career advancement, can help employees integrate their positions with larger strategic goals, creating accountability and engagement. Future policy changes should emphasize extensive environmental scanning, consistent corporate communication, and effective resource allocation.