A Human Resource Risk Management Model in Investment Banking Companies

Human resource risk management has been proposed as a controversial approach to the continuous growth of investment companies. Hence, companies should be able to identify and evaluate existing risks and manage them properly. The present study aims to develop a model for human resource risk management in investment banking companies. The research method is qualitative, based on a data-driven theory. Semi-structured interviews were used to collect the data and data analysis was performed by Strauss and Corbin method and paradigm model. Sampling was purposive and was done using targeted (judgmental) techniques. In accordance with the systematic pattern of data-driven theory, experts and managers with experience in investment companies were selected as the statistical population of the study. The results of the optained data from the interviews, using open, axial, and selective coding, led to a human resoursce risk management model based on a data-driven theory. Thus a model for human resource risk management in investment companies was identified. The findings of this study indicate that for the success of human resource risk management in investment companies, managers must pay attention to all the categories and sub-categories identified in the present study, and have the necessary sufficient information about each of them. In addition, this study shows the need to pay attention to human resource risk management for the development of investment companies.