Assessment of Managers' Understanding of the Effectiveness of Human Resource Management Based on Treasure Network Approach
Keywords:
Human Resource Management, Effectiveness of Human Resource Management, Treasure Network ApproachAbstract
This research examines and develops a conceptual model for evaluating the effectiveness of Human Resource Management (HRM) based on the experiences and perspectives of organizational managers. The purpose of this study is to identify key factors influencing the effectiveness of HRM and to present a conceptual framework that can assist managers in improving organizational performance. Given the lack of a comprehensive model in existing literature, this study has been conducted to fill this cognitive gap regarding the phenomenon. In this regard, a cognitive approach and treasure network methodology were utilized to create a network of mental constructs related to the effectiveness of HRM. This research employed a mixed-method approach, which included in-depth interviews (until data saturation was achieved) with 12 experienced managers (both academic and practical) in the field of human resources, along with the distribution of questionnaires to 31 other managers with similar characteristics. Qualitative data analysis revealed that four main factors—empowerment, participation and communication, holistic perspective, and culture and commitment—play a significant role in the effectiveness of HRM. Furthermore, the quantitative results confirmed the positive impact of these factors on organizational performance. This model not only contributes to the existing literature but also aids managers in adopting more effective strategies in HR management. It is important to note that since this model is derived from the mental constructs of managers within the Iranian Social Security Organization, generalizing the results of this research to other organizations requires further investigation, and it is recommended that future research utilize the model derived from this study across various organizations.