Volume 11, Issue 44 (Fall 2023)                   IUESA 2023, 11(44): 11-11 | Back to browse issues page

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Designing a human resources development model for the employees of the municipalities of Tehran province (mixed fertility). IUESA 2023; 11 (44) :11-11
URL: http://iueam.ir/article-1-2067-en.html
Abstract:   (185 Views)
The current research was conducted with the aim of providing a model for the development of human resources of municipal employees. The research method is applied in terms of purpose, and in terms of data, it is mixed exploratory (qualitative-quantitative), and in terms of nature, in the qualitative dimension, it is an emerging database, and in the quantitative dimension, it is a cross-sectional survey. The statistical population of the qualitative part includes professors and experts in the field of human resources who have specialized doctorate education and in the quantitative part all the municipal employees of the cities of Tehran province who have a master's degree and above in the number of 1000 people (236 women and 764 men). The sampling method in the qualitative section was purposeful, theoretical, and 15 experts were selected, and we reached theoretical saturation. In the quantitative section, the sample size was 278 people (66 women and 212 men) based on Morgan's volume determination formula. In the current research, after the open and axial coding of the measurement tool, it was set up in the form of a form and sent to the experts for selective coding and validated, and based on this, the researcher-made questionnaire was designed and distributed among the randomly selected statistical sample. Then the collected data was analyzed using descriptive and inferential statistics and at the end of 4 dimensions, 19 components and 135 indicators were finalized for the human resource development model of municipal employees. After the final approval and prioritization of the experts, the dimensions, components and indicators of the model were drawn, and the said model was again validated by the experts.
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Type of Study: Research | Subject: Special
Received: 2024/01/16 | Accepted: 2024/02/13 | Published: 2023/11/1 | ePublished: 2023/11/1

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