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

Chehreh, Saeed; Sarlak, Mohammadali; Rahimian, Ashraf

doi:10.30473/ipom.2024.69663.4916

Document Type : Causal

Authors

¹ Ph.D. Candidate, Department of Public Managemen, Payam Noor University, Tehran, Iran.

² Professor, Department of Public Management, Payame Noor University, Tehran, Iran.

³ Assistant Professor, Department of Public Management, Payame Noor University, Tehran, Iran.

https://doi.org/10.30473/ipom.2024.69663.4916

Abstract

This research was conducted to design a model to improve the performance of start-up accelerators and identify their dimensions and components. This research is a mixed exploratory research in terms of nature and is applied in terms of purpose. It includes two qualitative (supercomposition and Delphi) and quantitative parts. In the qualitative part, the research population was 25 Persian and Latin articles related to the improvement of performance in the accelerator, which were selected by census method with the metacombination mode. The statistical population in the Delphi section included 30 faculty members in 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 were collected using the researcher's questionnaire, the validity of which was obtained and confirmed by construct validity and factor loadings, as well as the calculation of Cronbach's alpha. For data analysis, exploratory and confirmatory factor analysis and path analysis were used using SPSS and Smart PLS software. According to the results obtained from exploratory factor analysis, 73 questionnaire items were classified into 12 main components and 61 sub-components. The results of confirmatory factor analysis show that 12 human resource 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 start-tup accelerators

Keywords

Main Subjects

Modeling

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Public Organizations Management

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

References

References

Volume 12, Vol 2 , Series 46 - Serial Number 46
May 2024
Pages 41-66

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

References

References

Volume 12, Vol 2 , Series 46 - Serial Number 46May 2024Pages 41-66

Volume 12, Vol 2 , Series 46 - Serial Number 46
May 2024
Pages 41-66