Abstract:
Despite the importance of the food manufacturing industry in Kenya, it has been
experiencing a lot of turbulence in the recent past including a drop in the GDP, an
increasing imbalance of trade, and the exiting of large multinationals. The main focus of
this study was to assess the effect of outbound logistics on the performance of food and
beverage manufacturing firms in Kenya. The research design that was appropriate for this
study was a descriptive cross-sectional design.246 food and beverage manufacturing firms
formed the source from which the respondents will be sourced. The population frame was
thus the procurement managers of the246food and beverages firms. These firms are
registered under the Kenya Association of Manufacturers. The study used a Stratified
random sampling technique. The study further used simple random sampling within the
different strata of 152 food and beverage manufacturing firms. The heads of departments
concerned with procurement formed the unit of observation. The questionnaire was used to
collect primary data. Quantitative and qualitative data were generated from the closed
ended and open-ended questions, respectively. Descriptive statistics such as frequency
distribution, mean (measure of dispersion), standard deviation, and percentages were used.
Inferential data analysis was conducted by use of univariate regression analysis, Pearson
correlation coefficient, and multiple regression analysis. The inferential statistic is used to
make judgments about the probability that an observation is dependable or one that
happened by chance in the study. The study results were presented through the use of tables
and figures. the study found that Outbound Logistics is statistically significant in explaining
the performance of food manufacturing firms in Kenya. The influence was found to be
positive, indicating that an increase in Outbound Logistics would lead to an increase in the
performance of food manufacturing firms in Kenya. Therefore, the study concluded that
Outbound Logistics has a positive and significant relationship with the performance of food
manufacturing firms in Kenya. From the findings, the study recommends that
manufacturing firms should develop a more efficient distribution network to ensure timely
and cost-effective delivery of products to customers. The firms should utilize route
planning software to determine the most efficient delivery routes, minimizing travel tim