Document Type : Research Paper

Authors

• Somayeh Eskandari
• Hadi Hemtian
• Abolfazl Danaei

Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran

Abstract

Sustainable achievement and survival in the challenging business of modern life depend on the ability of employees to perform the tasks assigned to them. Thus, recruiting the best employees with a fitting job with target posts may play an important role in organizations. The present study aims to provide a model for recruiting and hiring competency-based human resources based on structural equations in the Social Security Organization of Iran. This study was applicable in terms of aim and " combined" in terms of the method. In the qualitative stage, data-based strategies were used to design a model; in contrast, in the quantitative stage, structural equations of smart pls were used. The statistical population was managers and experts in human resources of the Social Security Organization of Iran. They were selected by the purposeful sampling method; in the quantitative stage, this sampling continued until we reached theory saturation. In the quantitative stage, 250 employees were selected from the section of human resources. After collecting data and extracting concepts, categories, the final model was determined. Given fitness indexes in the quantitative section, it became clear that data was fit with underlying structural factors and they were consistent with fit indexes. After collecting data and extracting concepts and categories, the final model was determined. Given fitness indexes in the quantitative section, it became clear that data fitted with underlying structural factors, consistent with fit indexes. Given the dimensions, the Social Security Organization of Iran needs this model, thus implementing this model based on its capacities and recruiting employees as important organization resources to improve the organization and decrease costs.

Keywords

• recruiting human resources
• Social Security Organization of Iran
• competency
• modeling of structural equations