Identifying the effective factors on aging entrepreneurship and providing an interpretive structural model

Given that Iran is on the path of development and older entrepreneurs have an increasing share in economic activities in developed countries, the category of elderly entrepreneurship can help accelerate the country's development. Therefore, the aim of this study was to identify the factors affecting aging entrepreneurship and model design with an interpretive structural approach. The present research is applied and based on the method, descriptive-correlation. The decision team consisted of 11 senior entrepreneurs and university professors. In the first step, the factors affecting elderly entrepreneurship were identified using in-depth interviews using data-based method, which includes 24 components in eight dimensions (personality traits, entrepreneurial skills, entrepreneurial competence, entrepreneurial motivation, entrepreneurial attitude, cognitive factors, human networks and behavioral characteristics. Are entrepreneurs). In the second step, interpretive structural modeling with Excel software was used to present the model. The results showed that the elderly entrepreneurship model has four levels: human networks in the first level, dimensions (entrepreneurial skills, entrepreneurial competence, entrepreneurial motivation, entrepreneurial attitude and cognitive factors) in the second level, entrepreneurial behavioral characteristics in the third level and personality traits in the fourth level. Are located. Therefore, it can be said that the foundation of aging entrepreneurship is personality traits. Also, MICMAC analysis showed that the dimensions (1-8) are in the independent cluster and the dimension (7) is in the dependent cluster and the dimensions (2-3-4-5-6) are in the link cluster. Findings Research reflects aging entrepreneurship as a process of seizing opportunities by combining resources by human factors in order to create new values.