Designing of a Model for Improving the Performance of Start-Up Accelerators

The current research was conducted with the aim of designing a model to improve the performance of start-up accelerators and identify its dimensions and components. This research, in terms of its nature and method, is among mixed exploratory research and has a practical purpose. This research includes two qualitative (supercomposition and Delphi) and quantitative parts. In the qualitative part of the studied community, there were 25 Persian and Latin articles related to the improvement of performance in the accelerator, which were selected by census method with metacombination method. The statistical population in the Delphi section included 30 faculty members in the field of management and managers related to start-up accelerators. In the quantitative part, 250 samples of employees of Iranian accelerators were selected using a systematic random stratified method. Data collection was done using the researcher's questionnaire, the validity of which was obtained and confirmed by the methods of construct validity and factor loadings, as well as the calculation of Cronbach's alpha. For data analysis, exploratory and confirmatory factor analysis as well as path analysis were used using spss and smart pls software. According to the results obtained from exploratory factor analysis, 73 questionnaire items are classified into 12 main components and 61 sub-components. The results of confirmatory factor analysis show that 12 human resources components of coaching, management techniques, customer perspective, continuous improvement, support, financial relations, internal processes, business model, program ecosystem, competitors and environment are effective in improving the performance of startup accelerators.