Explaining and Identifying the Empowerment Components of Staff of Ardabil University of Medical Sciences (with a Qualitative Research Approach)

P. Akharbin, T. Soleimani, S. Sattari
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Abstract

Background & objectives: Employee empowerment is one of the most basic categories of human resource management in the present era, especially in dynamic environments such as medical science universities which are the pillars of capital and human resource management and requires systemic thinking. This study was conducted to identify the empowerment components of Ardabil university of medical sciences staff. Methods: The present study was conducted by qualitative methodology (grounded theory). The statistical population of the study consists of all employees working in the university of medical sciences who were working in 1398. From this number, 20 experts were selected as study sample using purposive sampling method. The data of this study were obtained using semi-structured interviews. Descriptive statistics (frequency, mean, standard deviation) and inferential statistics (content analysis method including open, axial and selective coding) were used to analyze the data. Results: The results of analyzing the data obtained from the semi-structured interview showed that the empowerment indicators included individual, interpersonal, organizational and technical indicators. Conclusion: The final results of the study indicate that various factors are effective in the components of empowerment, including individual, interpersonal, organizational and technical indicators, and university managers and decision makers can use those components to improve and enhance the empowerment of university staff.
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解释和确定阿达比尔医科大学员工赋权的组成部分(采用定性研究方法)
背景与目的:员工授权是当今时代人力资源管理最基本的范畴之一,特别是在医学大学这样的动态环境中,作为资本和人力资源管理的支柱,需要系统的思考。本研究旨在确定阿达比尔医科大学工作人员的授权成分。方法:本研究采用定性方法(扎根理论)。本研究的统计人群包括1398年在医学科学大学工作的所有员工。采用目的抽样法,从中选取20名专家作为研究样本。本研究的数据是通过半结构化访谈获得的。采用描述性统计(频数、平均值、标准差)和推断性统计(内容分析方法包括开放编码、轴向编码和选择性编码)对数据进行分析。结果:对半结构化访谈数据的分析结果显示,授权指标包括个人、人际、组织和技术指标。结论:研究的最终结果表明,在个体、人际、组织和技术指标的赋权成分中,各种因素都是有效的,大学管理者和决策者可以利用这些成分来改善和增强大学员工的赋权。
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