Designing a Model for Evaluating the Key Competencies of Human Resources (Human Resources Managers of Yazd Province Executive Organizations)
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Abstract:

The purpose of this study was to design a model for assessing key human resources competencies of Yazd executives. Accordingly, the study was mixed (quantitative – qualitative(Therefore, first, the synthesis method was used, then the Delphi technique was used to design the model, and finally, the quantitative method was used for validation. Due to the nature of the research, there are different sampling and sampling methods. The first part of the statistical population consists of all articles related to key human resource competencies, scientific documents and all specialists, academics and elites with relevant experience and expertise. The sample included 84 documents (45 internal sources and 39 external sources) selected by census method and in the second part 10 targeted individuals (saturation limit of 10 persons) using purposive sampling method were chosen. For the design of the sample, the statistical population includes experts who were selected by purposeful sampling method (31 persons saturation limit) and for statistical population validation including senior experts and human resources managers of provincial executive agencies including deputy. Manpower Development Management and Planning Organization, Governorate, Human Resources and Administrative Transformation Committee in the province with a bachelor's degree or higher and with at least 4 years of work related to 828 people. In this section, 267 persons were selected using simple random sampling. Semi-structured interviews and researcher-made questionnaires were used for data collection. Based on this, a questionnaire was prepared and then provided to the instructors and consultants and the questions were modified. The coefficient of agreement was 0.81 which was confirmed by 3 experts. The results showed that the components of key competencies of human resources in executive systems consist of 4 components including individual characteristics (36 indices), knowledge (16 indices), skills (23 indices) and value (36 indices( In the last step, using structural equation modeling, model validation was performed. The results indicate that the questionnaire data can be reduced to a number of underlying and fundamental factors. And the result of Bartlett test showed that the correlation matrix is not a single matrix and the same matrix and finally 4 factors (components) have higher than one specific value. These components include 4 components including individual characteristics, knowledge, skills and values.

Language:
Persian
Published:
Iranian Society for Training and Development, Volume:6 Issue: 22, 2020
Pages:
118 to 143
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