Designing a model of influential factors in creating a knowledge management strategy (research example: automobile parts technology companies in Iran)

Abstract

Knowledge management strategies help auto parts technology companies tailor their products and services and personalize all communications with customers based on their identified needs. Giving importance to knowledge management strategies leads to increase in knowledge and ultimately economic profitability. The aim of the current research is to achieve the design of the model of influential factors in creating a knowledge management strategy in the automotive parts technology companies in Iran. In terms of method, this research is a part of mixed exploratory research with qualitative and quantitative methods. In the qualitative part of the research, theoretical foundations and previous studies have been used to determine the components and indicators of the research; Then, using the structural-interpretive method (ISM), the leveling of the factors has been done. The findings indicate that the development of procedures variable is at the first level and the intellectual property protection variable is at the second level. Also, the variables of protection of common knowledge and software infrastructure and exploitation of the two-level system of the learner are at level three. The variables of hardware infrastructure and discovery of common knowledge base and continuous improvement of organizational performance are at the fourth level. In the quantitative part, using random cluster sampling method, 217 people from Iran Khodro parts field managers were selected and with SmartPLS software and Confirmatory factor analysis method has been done. The results showed that there is a significant relationship between the components of creating a knowledge management strategy in automotive parts technology companies in Iran.

Keywords

• auto parts
• knowledge management
• strategy
• technology companies