Elucidating and Evaluating the Digital Human Resource Management Model in Iran's Sports System

This study aims to elucidate and evaluate the digital human resource management model within Iran's national sports system. The research employs a developmental objective and adopts a descriptive-qualitative approach, utilizing the fuzzy Delphi method. In the initial phase, relevant indicators and dimensions were gathered through documentary and library research. Subsequently, the fuzzy Delphi method was applied. The statistical population for the qualitative approach consisted of 20 experts in sports management. A total of 23 digital human resource training and management models with various components were presented. The synthesis of these models identified 5 dimensions, 25 components, and 52 indicators. The five dimensions derived include digital recruitment, employee socialization and alignment, performance management and compensation systems, digital training and development, and digital retention and exit. The validity of the questionnaires in the qualitative section was confirmed using CVR and CVI methods, based on the opinions of sports experts. In the quantitative section, validity was affirmed through factor analysis. The normality test and reliability of the questionnaire were assessed using Cronbach's alpha, yielding a value of 0.96, which indicates strong reliability. SPSS23 and AMOS26 software were utilized for path analysis to illustrate the analytical model. Finally, based on the findings, research recommendations are presented.

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Publication Details

Journal
Digital Transformation and Administration Innovation
Published
2025-01-01
DOI
https://doi.org/10.61838/dtai.169
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Elucidating and Evaluating the Digital Human Resource Management Model in Iran's Sports System

leila Zargham Zanjani, Seyyed Hamid Sajjadi Hazaveh, Zahra Haji Anzehaei
Digital Transformation and Administration Innovation
Big Data and Business Intelligence
article

Elucidating and Evaluating the Digital Human Resource Management Model in Iran's Sports System

leila Zargham Zanjani, Seyyed Hamid Sajjadi Hazaveh, Zahra Haji Anzehaei
article en

Abstract

This study aims to elucidate and evaluate the digital human resource management model within Iran's national sports system. The research employs a developmental objective and adopts a descriptive-qualitative approach, utilizing the fuzzy Delphi method. In the initial phase, relevant indicators and dimensions were gathered through documentary and library research. Subsequently, the fuzzy Delphi method was applied. The statistical population for the qualitative approach consisted of 20 experts in sports management. A total of 23 digital human resource training and management models with various components were presented. The synthesis of these models identified 5 dimensions, 25 components, and 52 indicators. The five dimensions derived include digital recruitment, employee socialization and alignment, performance management and compensation systems, digital training and development, and digital retention and exit. The validity of the questionnaires in the qualitative section was confirmed using CVR and CVI methods, based on the opinions of sports experts. In the quantitative section, validity was affirmed through factor analysis. The normality test and reliability of the questionnaire were assessed using Cronbach's alpha, yielding a value of 0.96, which indicates strong reliability. SPSS23 and AMOS26 software were utilized for path analysis to illustrate the analytical model. Finally, based on the findings, research recommendations are presented.

Digital Transformation and Administration InnovationVol. 3(3)
Islamic Azad University Central Tehran Branch (IR)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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Elucidating and Evaluating the Digital Human Resource Management Model in Iran's Sports System — leila Zargham Zanjani, Seyyed Hamid Sajjadi Hazaveh, et al. · Digital Transformation and Administration Innovation (2025) | TGRS Research Map | TGRS