Designing a Human Resource Productivity Model for the Deaf Sports Federation: A Combined Delphi-Fuzzy and Interpretive Structural Modeling Approach
DOI:
https://doi.org/10.61838/kman.intjssh.7.1.7Abstract
Objective: The objective of this study was to design a human resource productivity model for the Deaf Sports Federation using a combined Delphi-Fuzzy and Interpretive Structural Modeling approach.
Methods and Materials: The methodology of this research was mixed (qualitative and quantitative). Participants included managers and officials of committees within the Deaf Sports Federation of the Islamic Republic of Iran and elites in deaf sports, including coaches, referees, and athletes. The selection of these individuals was purposeful, based on criteria of expertise and experience, representation, diversity, and cooperation potential, with 18 individuals chosen. Data collection tools were a 41-question questionnaire and a 17x17 dimensional matrix, both validated for reliability and validity. Data analysis was conducted using Delphi-Fuzzy and subsequently Interpretive Structural Modeling. It is noteworthy that for these analyses, Excel macros and the SmartISM web program were utilized respectively.
Results: Findings identified 17 determinant factors related to human resource productivity in the Deaf Sports Federation, which were categorized into five levels based on interpretive structural analysis, forming a hierarchical relationship model that indicates the fundamental factors in optimizing human resources in the Deaf Sports Federation are the alignment of authority-responsibility and organizational culture, which ultimately lead to an individual’s perception of their role.
Conclusions: Accordingly, in planning to enhance human resource productivity in the Deaf Sports Federation, the initial step should involve establishing a balance of authority-responsibility and promoting values that assist employees in understanding their roles.
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Copyright (c) 2024 Masoud Farahanitajar, Mahdi Naderinasab, Hossein Kalhor (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.