Identifying The Methods for Manager’s learning in NTBFs: a Qualitative Approach

Authors

1 Doctoral Student of Educational Management, Educational Science and Phycology Faculty of Shahid Beheshti University, Tehran, Iran

2 Associate Professor of Educational Science and Psychology Faculty of Shahid Beheshti University, Tehran, Iran

3 - Associate Professor of Educational Science and Psychology Faculty of Shahid Beheshti University, Tehran, Iran

10.22034/jstp.2019.11.3.1026

Abstract

The importance of managers learning in different organizations is clarified to everybody, but in Technology based firms (NTBF) because of their inexperience of managers and the complex nature of these companies, manager learning is more important. Actually, manager`s learning plays an important role in innovating these companies and overcoming the challenges of the changing and complex environment around them. However, the methods of learning in this managers have not been well studied. So, the aim of this study was to identifying the methods for manager`s learning in this firms.  In order to attain this aim, the research data collected regarding to Interpretivism paradigm and qualitative approach. 19 managers and experts of new technology-based firms were interviewed with semi-structured interview questions. The data collecting in this way, coded and analyzed with thematic analysis method in three stages. For analyzing of this data, qualitative analysis software Maxqda used. Based on the extracted findings of this research, 30 incidental themes or methods identified which categorized in five main methods consist, “learning from experience”, “self-directed learning”, “learning from stakeholders”, “explicit learning methods”, “benefiting of mentoring capacity in learning”. It can be said that the five identified methods of manager`s learning in NTBFs can be used both individually by the managers themselves and by the stakeholders of the NTBF`s domain and can be used for development of this managers and subsequently the success of NTBFs.
 

Keywords

References

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Journal of Science and Technology Policy
Volume 12, Issue 3 - Serial Number 43
September 2019
Pages 63-76

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