Abstract:
Tea processing firms in Kenya face unique challenges; with supplier management being 
the most critical. Better supplier relationship management practices enable the
procurement function reduce costs in setting up deals with suppliers, foster innovation, 
improve quality, communication, and reduce problems related to delivery delays. Despite 
the implementation of supplier relationship management practices, there are still complex 
and strained relationships between green leaf suppliers and tea processing firms in Nandi 
County. Williamson Tea Limited in Nandi County has incurred annual losses of 
approximately 15 million as a result of engaging in business with a large number of 
suppliers, resulting in lapses in managing long-term relationships with suppliers, which 
has ultimately led in delayed deliveries, inconsistent leaf count, insufficient stock, and poor 
quality products due to a lack of a comprehensive approach for managing interactions with 
suppliers. The purpose of the study was to analyze the effect of supplier relationship 
management practices on the procurement performance of tea processing firms in Nandi 
County, Kenya. Specific objectives were to; determine the effect of supplier evaluation, 
examine the effect of supplier segmentation, establish the effect of supplier development, 
and assess the effect of supplier training on procurement performance of tea processing 
firms in Nandi County, Kenya. This study used resource dependence theory, networking 
theory, and Payne’s five forces model. A cross sectional research design was adopted on a 
target population of 96 respondents where census sampling technique was used and data 
collected from the entire sample using questionnaires. The study used positivism research 
philosophy. Reliability of research instruments was measured through Cronbach’s Alpha 
while construct validity tested through Kaiser Mayer Olkin and Barttlet’s tests. Data was 
analyzed using inferential and descriptive statistics and presented in form of frequency 
tables and percentages. Correlation results indicated that supplier evaluation, segmentation 
and training had a significant correlation with procurement performance given variable 
coefficient r; - 0.680, 0.538 and 0.378 respectively, while supplier development recorded 
an insignificant positive correlation with a variable coefficient - 0.471 and p- value 0.083 
which is greater than 0.05. Findings indicated that supplier evaluation, supplier 
segmentation and supplier training had significant effect on procurement performance 
given coefficients -0.185, 0.063 and 0.236 respectively with p-values < 0.05 while supplier 
development had insignificant effect on procurement performance given p-value > 0.05. It 
was concluded that supplier relationship management practices affect procurement 
performance. It was recommended that tea processing firms in Kenya to embrace supplier 
evaluation, segmentation, development and training as the coefficient of determination 
(0.618) was an indication that approximately 62% of variations in the procurement 
performance measured through cost level is explained by changes in the SRM practices.