Document Type : Research Article (with mixed approaches)
PhD student of public management, University Of Islamic Azad, Isfahan Branch (Khorasgan), Isfahan, Iran
Associate Professor, Faculty of Management, University Of Islamic Azad, Isfahan Branch (Khorasgan), Isfahan, Iran
Assistant Professor, Faculty of Management, University Of Islamic Azad, Isfahan Branch (Khorasgan), Isfahan, Iran
Purpose:The purpose of this study is to identify human resources risks that are being carried out in the semi-governmental Cement Investment and Development Company (cidco).
Design/Methodology/Approach: First, using the method of Meta synthesis, a deep study of qualitative studies on the subject was considered. At first, the original model was designed and verified by the Delphi method and the questionnaire was used. To determine its validity, the method of judgment of the experts was used and the reliability of the Cronbach's alpha method was used. With respect to Cronbach's alpha, 0.78, the reliability of the questionnaire is confirmed. A Judgment sampling of 20 university and industrial experts in the cement industry was selected and a questionnaire was distributed among them and collected .Then, The findings of the study were evaluated through content validity test. The findings of the study were evaluated through content validity test.
Research Findings:Finally, with the elimination of the components with content validity index (CVI) and their content validity ratio (CVR) less than the limit, a model with four dimensions and 20 indicators was presented.
Limitaions & Consequences: The cross-sectional nature of data that is seen in the face of human resource risks in the organization due to the passage of time and changes in management and legal styles.
Practical Consequences: By identifying human resource risks and their related indicators in the organization, it is possible to control and reduce the level of risk in the organization.
Innovation or Value of the Article: A model with a holistic perspective and in-depth study of the proposed models in the field of human resource risks with the approach of semi-government manufacturing plants was presented.