Objective: This research aimed to design a model for intergenerational knowledge sharing in order to identify the dimensions and rank the factors and components affecting intergenerational knowledge sharing in the car leasing industry.
Methodology: This is an applied research conducted using a mixed exploratory method. The research population was divided into two parts: in the first part (qualitative), the population consisted of 17 experts and specialists in the leasing industry who were selected purposefully, and in the second part (quantitative), the population was 970 employees working in the car leasing industry. Based on the Cochran formula and a 22% minimum sample increase, 336 individuals were randomly selected as the sample. Data was collected through library and field methods using semi-structured interviews and questionnaires. The MAXQDA and SMART PLS software were used to analyze the obtained data.
Findings: The findings showed that the components of knowledge sharing, external environment, innovation, future orientation, reactive, analytical, IT governance, organizational structure, learning organization, organizational learning, and knowledge management have a direct and significant impact on intergenerational knowledge sharing in the leasing industry.
Conclusion: Based on the analysis and identification of the components (knowledge sharing, external environment, innovation, future orientation, reactive, analytical, IT governance, organizational structure, learning organization, organizational learning, and knowledge management), it can be concluded that all these components constitute a suitable model for improving the performance of the car leasing industry, and it is recommended that this model be considered to advance the goals and success of this industry.
