Document Type : Original Article
Authors
1
Department of Management and Entrepreneurship, Faculty of Economics and Entrepreneurship. Razi University, Kermanshah, Iran
2
Assosiate Proffesor, Department of Management and Entrepreneurship, Fasulty of Economics and Entrepreneurship, Razi University, Kermanshah, Iran
3
Management and Entrepreneurship Department, Social Sciences, Economics, Entrepreneurship Faculty, Razi University, Kermanshah, Iran
4
Assistant Professor, Department of Management and Entrepreneurship, Faculty of Economics and Entrepreneurship, Razi University, Kermanshah, Iran.
10.22034/popsci.2023.394419.1267
Abstract
The success of accelerators requires continuous growth and improvement of the capacity to absorb knowledge from internal and external organizational resources. In this regard, the present study is aimed to design a model for improving the capacity of knowledge absorption in Iran's accelerators. This study is an applied-developmental design in terms of purpose, and non-experimental (descriptive) in terms of data collection and a cross-sectional study. Also, in this study, a mixed research method (qualitative-quantitative) is used. The data collection measure in the qualitative section is semi-structured interview, and in the quantitative section, the Likert scale questionnaire is used. The Holsti coefficient is used to validate the qualitative section, and the quantitative section is validated with face validity and Cronbach's alpha calculation. The statistical population in the qualitative section includes the managers of Iran's accelerators who are selected by the purposeful sampling method and theoretical saturation was achieved with 15 interviews. The statistical population of the quantitative section includes the managers and experts of Iran's accelerators. The sample size is calculated by Cochran's formula with 137 individuals. Sampling in the quantitative section is performed by simple random method. Grounded theory method and Nvivo software were used for data analysis in the qualitative section. Then, the validation of the knowledge absorption capacity improvement model is done using partial least squares. The research findings indicated that promoting knowledge absorption capacity includes knowledge management, acquiring knowledge from external resources, startup hybrid capabilities, interaction-based knowledge absorption,the diversity of knowledge and the characteristic and level of knowledge of other accelerators.
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