Presenting Human Resource Risk Management Model in the Banking Industry Based on Grounded Theory (Case Study: Mellat Banks of Tehran)

Document Type : Research Paper

Authors

1 Associated Prof., Department of Business Management, University of Tehran, Tehran, Iran.

2 Assistant Prof., Department of Business Management, University of Tehran, Tehran, Iran.

3 PhD Candidate, Department of Human Resource Management, Kish International Campus, Tehran University, Kish, Iran.

Abstract

Objective: Identifying and evaluating human resources risks under a holistic model with respect to time components and identifying the best decisions for financial organizations and credit institutions to reduce risk is the main objective of this study.
Methods: This research is a qualitative research method. In this research ،, grounded theory is used as a rigorous and systematic method to study complex multidimensional problems. The Participants of the study was considered HR experts of the banking industry who had full knowledge of HR and banking performance in the financial market.
Results: According to the research method,the coding and classification process was performed based on three stages of open coding, axial coding and selective coding. The outputs of these three stages were presented in the form of key points,codesconcepts and categories. Data was analyzed several times during and after the collection and by identifying the key points the relevant codes were extracted. A total of 301 codes (labels) were obtained from the collected data and converted to 107 concepts through coding logic. Finally, 22 categories were related to the main research topic.
Conclusion: According to the research model, HRM model is not only about reducing risks such as staff displacement or poor performance, but also about balancing risk and discussing when to take risks and when not to take a risk. Therefore, examining all aspects of HR risk in the model can increase the synergy of the model components.

Keywords

References

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Journal of Public Administration
Volume 12, Issue 2
2020
Pages 346-376

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