| dc.description.abstract | This study was conducted to establish the relationship between supply chain management
practices and service delivery in Humanitarian Organizations in Kenya. The study had
three objectives; to establish the supply chain management practices in Humanitarian
organizations in Kenya; to determine the impact of SCM practices on Service delivery; to
determine the challenges faced in the implementation of SCM practices in Humanitarian
Organizations in Kenya. The research design adopted a census study survey. The
population of study comprised of 26 humanitarian organizations operating in Kenya. The
study used primary data which was collected using self-administered questionnaires. The
data was analyzed using descriptive statistics and regression models used to establish
relationship between variables. The study established that most humanitarian
organizations in Kenya have adopted Supply Chain Management practices in their
Organization and this has led to integration of activities hence providing information
allowing the organization to operate more effectively. This has led to the increase in the
number of lives saved in the past few years , enabled the organizations to respond to
different magnitude of disasters , reduce the time taken for a relief chain to respond to a
disaster and utilize resources which indicates the level of efficiency in the supply chain.
Supply Chain Management practices are affected by few skilled SCM experts, few
investments and lack of planning and performance measurement. There is a significant
relationship between Supply chain management practices and service delivery
represented by R2 value of 0.753 which translates to 75.3% of the variations in service
delivery which are explained by the independent variables understudy. It is recommended
that the humanitarian Organizations in Kenya need to put in place measures that will
enable the evaluation of supply chain management practices. The study was limited to
humanitarian organizations operating in Kenya. Further research can be done to account
for the 24.7% changes in Y which needs to be explained by other factors not found by
regression model used in this research | en_US |
