Investigating the success factors of digital startup accelerators in the post-Corona era

The purpose of this study is to investigate the success factors of digital startup accelerators in the post-Corona era. In terms of purpose, this research is in the field of applied research, and since it describes the variables and the relationships between them, recognizes the current situation and finally provides a model, it is descriptive-survey method. The statistical population of this study includes experts related to digital accelerator startup accelerators in the post-corona era. In order to achieve apparent theoretical saturation, 25 people were selected as a sample by interview method and the required information was collected. To analyze the qualitative data and extract the factors affecting the success of startup accelerators in the digital field and the factors affecting it, the content analysis method (theme analysis) was used. Structural-interpretive modeling has been used to identify the relationships between variables. The research findings include describing the success pattern of digital startup accelerators and analyzing the results of correlation penetration. Examining the results obtained from the nineteen main factors of identified agility, it was found that the flexibility of organizational structure and data analysis have the greatest influence and the ability to respond to environmental issues and the ability to change business goals, have the greatest dependence