Thesis:

Logistics Management System And Performance Of Humanitarian Firms In Wajir County, Kenya

Successful logistics management systems are essential for timely and successful project delivery or disaster response in the dynamic world of humanitarian activities. The purpose of this study, which will take place in Wajir County, Kenya, is to comprehend how logistical systems affect the operations of humanitarian organizations operating in the county. The overall goal of the study will serve as its guide. The Performance of Humanitarian Firms in Wajir County, Kenya, and Logistics Management Systems and Has four distinct goals: to find out how much transport management strategies affect the effectiveness of humanitarian groups in Wajir County, Kenya. In order to ascertain the extent to which inventory management strategies influence the functioning of the humanitarian organizations operating in Wajir County, Kenya, to determine how much information exchange affects the effectiveness of humanitarian organizations operating in Kenya's Wajir County and to determine the degree to which humanitarian companies operating in Kenya's Wajir County are impacted by sufficient financing. The theories that support this study are Resource Based Theory, Relief Coordination Social Network Theory and Theory. With logistic coordinators, operations managers, program managers, field coordinators, and procurement managers serving as the primary respondents, the study focuses on eight humanitarian organizations in Wajir County, Kenya; as a result, 140 respondents are the target population. 104 respondents make up the sample size, which was determined using Yamane's Taro (1967). The target demographic as a whole is represented by this. Given the limited population, a census will be conducted. There will be a descriptive research design. Cronbach alpha will also be used to assess the study tool, and a score of 0.7 will be considered suitable. The quantitative data for this study will be collected using the Statistical Package for Social Sciences (SPSS) version 27, and the response rate will be calculated using descriptive statistics such as mean, median, standard deviation, and proportions. The gathered data will be analyzed using both qualitative and quantitative methods. We'll use content analysis to assess qualitative data. Quantitative data will be evaluated using descriptive and inferential statistics. The following will be used in descriptive statistics: means, standard deviation, percentages, and frequencies. Pearson correlation and multiple regression analysis are examples of inferential statistics. The link between the variables will be determined using the Pearson Correlation coefficient.