Analysis of the pattern of retirement of human resources in sports with an emphasis on organizational behavior

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
One of the neglected issues in sports organizations is paying attention to retirement and having a suitable model for manpower retirement with the least harm to the organization. Therefore, the present study was conducted with the general aim of analyzing the path of manpower retirement pattern in sports. The present research method is a mixed method (qualitative and quantitative) which in terms of purpose is exploratory research and in terms of results is part of basic and applied research. The statistical population of the research in the qualitative section included experts related to the subject and sampling in this section was done purposefully and snowball technique. The statistical population in the quantitative part included all sports managers and experts, sports coaches who were sampled by simple random sampling. The measuring instruments of the research were interview (qualitative part) and questionnaire (quantitative part). The interview was conducted in a semi-structured manner and the results of the interviews were used to construct a questionnaire and distributed after confirming its validity and reliability. In order to analyze the path of the manpower retirement model in sports, structural equation analysis was used with the help of Smart PLS software version 3. Reforming the structure and reducing the surplus forces on transparent and logical indicators has a positive and significant effect on the planning and implementation of the plan and planning and recruitment and retirement of human resources (p = 0.01), as well as meritocracy and succession on transparent and logical indicators on the program. The planning and implementation of the plan for managing, recruiting and retiring manpower has a positive and significant effect.
Language:
Persian
Published:
Journal of Organizational Behavioral Management in Sport Studies, Volume:10 Issue: 1, 2023
Pages:
11 to 27
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