Identify the ‎‏»‏Organizational DNA‏«‏Model in the IRIB ‎Organization

Document Type : Research Paper

Authors

1 Ph.D. Candidate of Payame Noor University

2 Associate Professor Department of Public Management of Payame-Noor University

3 Professor Department of Public Management of Payame-Noor University

4 Assistant Professor of Curriculum Studies at Kharazmi University

Abstract

Purpose: In the last two decades, there has been a question of how can a successful organization be modeled? To answer this question, the concept of "organizational DNA" has been suggested. "Organizational DNA" is a tool for analyzing and recognizing the difference in the behavior and personality of organizations, and many of the behavioral practices, actions, and organizational structures affected by it. The main question in this study is what are the factors that influence the modeling of successful parts of an organization?  Therefore, the purpose of this research is to propose a model for organizational DNA in the IRIB.
Method: In this study, the qualitative data method of the foundation was used and 30 national media managers were selected and interviewed to collect information. The organization's archival documents and resources were also used. Then, the data analysis of this research was done through open, axial and selective coding.
Findings: In this study, 312 extraction codes and 4 main (selective) axes of decision-making, selection and method of using motivational factors, organizational structure and communication networks, information and organizational knowledge were identified, each of which is influenced by axial factors.
Conclusion: By managing the key factors identified in this research, the organizational DNA of the IRIB and its weaknesses and strengths are identified and managed and implemented in order to realize organizational goals, such as benchmarking successful areas and improving the quality of radio and television productions.
 

Keywords

References

 
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Journal of Iran Futures Studies
Volume 4, Issue 2 - Serial Number 7
March 2020
Pages 157-179

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