A Conceptual and Analytical Examination of the Alavid Governance Model in Public Non-Profit Organizations: A Quantitative Approach with Deep Content Analysis
Keywords:
Alavi governance, public non profit organizations, content analysis, structural equation modeling, Nahj al BalaghaAbstract
Objective: This study aims to conceptualize and empirically validate the Alavid governance model in public non-profit organizations using a mixed-methods approach and deep content analysis.
Methodology: This applied research adopts a mixed-methods (qualitative–quantitative) design. In the qualitative phase, purposive sampling was employed, and semi-structured interviews were conducted with 20 managers, key informants, and experts. Data were analyzed using content analysis through open, axial, and selective coding. In the quantitative phase, a researcher-developed questionnaire based on qualitative findings was administered to 52 managers at different organizational levels. Validity and reliability were confirmed using Cohen’s Kappa, Cronbach’s alpha, composite reliability, and average variance extracted (AVE). Data analysis was conducted using one-sample t-tests and structural equation modeling (SEM) via Smart PLS software.
Findings: The findings indicate that the Alavid governance model consists of six core dimensions: causal conditions, contextual conditions, intervening factors, central phenomenon, strategies, and consequences. Quantitative results revealed that all constructs demonstrated factor loadings above 0.3, reliability indices above 0.7, and AVE values exceeding 0.5, confirming the model’s validity and reliability. The overall model fit index (GOF = 0.48) indicated a strong fit, and the relationships among variables were statistically significant.
Conclusion: The Alavid governance model, as a multidimensional indigenous framework grounded in Islamic values, demonstrates strong empirical validity and offers an effective approach for improving organizational performance, reducing administrative corruption, and enhancing public trust in public non-profit organizations.
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Copyright (c) 2025 Sadegh Sharifnia, Hamidreza Ghasemi, Kiomars Khatirpasha (Author)
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