Exploring emerging approaches to job evaluation and classification

In the present era, social, economic, and technological forces have challenged the traditional and static structures governing organizational systems more than ever. Especially in the field of job evaluation and classification, the linear and mechanical models of the past have faced fundamental changes due to effective internal and external forces. With the formation of new production patterns in the post-industrial economy, the previous systems of job analysis and job valuation also need to be reconsidered and redefined. In the meantime, the country's labor relations policymakers, in order to fulfill the legal duties stipulated in the labor law, are seeking to monitor and predict these changes in order to appropriately design relevant regulations. Due to its increasing complexity and dynamism, the labor-employer relations system requires future research and the design of flexible policies to deal with emerging trends in this field. This research was conducted with the aim of identifying emerging approaches in the field of job evaluation and classification and has used the data-based technique. In the first step, key themes were extracted by reviewing the theoretical literature. Then, interviews were conducted with 17 job classification experts to theoretical saturation, and their opinions were categorized and analyzed in the form of codes based on the data-driven technique. The results of the measures led to the identification of five emerging components of significance for policymakers in the field of labor relations, including ethics, challenge, innovation, documentation, and motivation.