The Relationship Between the Critical Factors for Knowledge Management in Supply Chain Efficiency Amol's Kalleh Dairy Company


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Article type :

Original article

Author :

Seyedeh Malihe Mohammadi Takami

Volume :

4

Issue :

3

Abstract :

Organizations that operate in a variable and complex, competitive environment are continually looking for a sustainable competitive advantage. In this regard, knowledge management is one of the most critical factors affecting the success of organizations. Relying on knowledge and knowledge management, organizations can make more reasonable decisions and achieve sustainable development. Therefore, knowledge management is one of the most influential and essential factors in comprehensive development and gaining a more significant market share. This study's primary purpose was to investigate the relationship between critical aspects of knowledge management on Kale Amol Dairy Products Company's supply chain productivity. Five main factors of organizational strategy, organizational structure, knowledge team, knowledge map, and knowledge audit were used as independent variables to achieve this goal. The research method was a correlation, and data collection tools were library and internet resources. The statistical population consisted of high and middle-class managers and staff members involved in knowledge management and supply chain in Amol Calais Dairy Products Company, of which 58 were. Chang china et al. standard questionnaire was used to measure the variables, and SPSS software was used to analyze the statistical data. Descriptive statistics were used for the frequency of data. The Pearson correlation test was used to determine the relationship between variables, and the Friedman test was used to prioritize the variables. After data analysis, it was found that there is a relationship between all independent variables and supply chain productivity. The knowledge map variable had the highest and organizational strategy variable with the lowest relationship with the dependent variable among independent variables.

Keyword :

The Relationship Between the Critical Factors
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