date_range 2024-07-25 00:00:00
The study investigated supply chain management practices and the impact they have on organizational performance at Dashen Brewery Factory. To achieve this, a quantitative research method was employed. A structured closed-ended questionnaire was used to collect data from the participants. Since specific sections are targeted, purposive sampling technique was used to select participants. Descriptive and inferential statistics were used to analyze the data. Means and standard deviations were used to look into the practices of the supply chain management. Correlation was computed to examine the relationships among the independent variables and between the independent and the dependent variables. Likewise, regression was computed to notice significant impacts of the independent variables over the dependent variable. The results of the study, in this regard, showed that supply chain management practices have considerable impact on organizational performance in terms of strategic supplier partnership, customer relationship, information sharing, and information quality. The study, furthermore, revealed that there found to be strong correlation among the indicators of supply chain management practices. It was also observed that with the exception of information sharing, the rest of the variables indicated positive correlation with organizational performance. Likewise, the result of R2 shows that the organizational performance of Dashen Brewery Factory may account of 93.1% of the practice of supply chain management. The coefficients ascertained the influence of each supply chain management practice indicator on organizational performance. In this case, strategic supplier management and level of information quality significantly and positively affect organizational performance. However, customer relationship and level of information sharing do not show significant positive impact on organizational performance at Dashen Brewery Factory. It is, therefore, recommended that attention should be paid to the most significant indicators that mainly affect the factory.