Abstract:
Supply chain collaboration is a process of two or more independent firms working together in
supply chain to form long term relationship and working closely for common goals. The purpose
of this study was to explain the effect of supply chain collaboration on the performance of
MOHA soft drinks industry in Nifas silk plant. To achieve the objective of this study, explanatory
and descriptive research design and quantitative research approach employed. The populations
of the study were employees of MOHA soft drinks industry, those employees who work in this
industry grouped in five departments via stratified random sample. The sample size from each
department determined through stratified proportional sampling, and sample units from each
department have been selected randomly. A total of 218 sample units were selected and 218
questionnaires were distributed to each sample units. Although, only 202 (93 %.) of
questionnaires were correctly filled, returned and used for analysis. Then, SPSS version 23 was
used for analyze, interpret and present the data captured via questionnaire through descriptive
and inferential analysis method: means, standard deviation, correlation and regression analysis
were used. Hence, the major finding indicates that, the descriptive analysis result shown
information sharing, joint knowledge creation, decision synchronization and resource sharing
has moderately implemented and incentive alignment respectively. Furthermore, Pearson
correlation result revealed existence of statistically significant positive correlation between the
set of supply chain collaboration components and performance of MOHA soft drinks industry.
Finally, the regression result suggested that components of supply chain collaboration have
statistically significant predicting power or effects on the performance of MOHA soft drinks
industry. Therefore, this study recommended, MOHA soft drinks industry to improve
performance and to ensure global competitiveness, giving more attention in properly
implementing and improving of those and other supply chain collaboration components is better.
