Productivity Model of Knowledge of Human Resources in the Insurance Industry

Considering the importance of the insurance industry in the country's economy, the purpose of this study was to provide a model of productivity of human resources knowledge in the insurance industry.

The research method is qualitative. Research data were collected through field research and semi-structured interviews with 11 experts. After reviewing scientific theories and previous research and gathering information through interviews, this study presented the productivity model of knowledge in the insurance industry. The interviews were implemented in MAXQDA version 19 text analysis software. Then, according to the method of Strauss and Corbin (1998), the open, axial, and selective coding process was performed.

The research model was presented with seven central categories and six categories of "phenomenon," "consequences," "causal conditions," "contextual conditions," "strategies," and "obstacles and intervening conditions," with 731 selected initial codes. The main categories include knowledge, knowledge management (causal conditions), capital (contextual conditions), environmental and organizational barriers (intervening conditions), main phenomenon (knowledge productivity), strategy, and outcome (competitive advantage, growth, and development).

The results show that knowledge productivity in the insurance industry is a central phenomenon, and it is necessary to generate and use the knowledge of employees. Also, knowledge alone does not improve the organization and improve its performance; knowledge productivity plays a significant role in this regard, so organizations' competitive advantage is based on their ability to use knowledge.