Modeling the Integrated Impact of Total Quality and Knowledge Management on Production Efficiency: A Case of ASKU PLC Aquaddis Spring Water
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Date
2024-10
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Addis Ababa University
Abstract
This study required to modeling the Integrated Impact of Total Quality Management and Knowledge Management on Production Efficiency on ASKU PLC'S Aquaddis spring water production efficiency. Aligning TQM with Knowledge management involves creating a holistic approach that emphasizes shared goals, employee engagement, continuous improvement, and effective knowledge sharing. By integrating these practices, organizations can enhance their production efficiency. The study adopts descriptive research method. While analyzing the problem, both qualitative and quantitative research method are utilized. The main tools of data collection are questionnaires and interviews. The quantitative data collect through questionnaire analyzes by creating and practicing of inferential statistics using SPSS version 20 software. The performance measurement variables and their effects on production efficiency dimensions are analyzed by involving appropriate parametric statistical methods to determine the level of association and degree of relationship based on the distribution of the collected sample data. The results of the study show a positive and strong correlation between integrated knowledge management and total quality management and overall production efficiency. The research contributes to the body of knowledge by analyzing the effects of knowledge management integration along with quality management ideas, which are helpful for increasing production efficiency. Therefore, the researcher highlights the problems involved in a very weak customer focus, employee involvement and integrated system, continuous improvement and other related activities that have to do with a production efficiency. In order to examine the links between dependent and independent variables correlation analysis was performed. The correlation matrix showed that all independent variables had positive coefficients of correlation and significantly correlated with the dependent variable. Further regression analysis was also conducted and results revealed that all the independent variables contribute to statistically significant level at (p-value = 0.001). When effectively combined, these two management practices create a powerful synergy that enhances production efficiency. Limits of the current research sample size the sample is too small, it might not be representative of the broader population, leading to issues with the generalizability of the results. Future studies should aim to include larger and more diverse populations to enhance the generalizability of the findings.
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Keywords
Total Quality Management, knowledge management, production efficiency, Integration, Aquaddis Spring Water