Presenting and Analyzing a Social Capital Pathology Model in Organizations

Document Type : Original Article (Quantified)

Authors

1 PhD Student, Department of Public Administration, Faculty of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, Department of Management, Center for Public Management Education, Tehran, Iran.

3 , Department of Public Administration, Faculty of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

10.22034/jmep.2026.532161.1536
Abstract
The purpose of this study is to present and analyze a pathology model of social capital in organizations. In terms of purpose, the present research is exploratory. Regarding the time dimension, it is cross‑sectional, and in terms of the theoretical approach, it is inductive. The statistical population of the study consisted of 86 managers and experts from the Tehran Municipality, who were selected through non‑probability and non‑random sampling. A questionnaire was used to collect the research data. Data were analyzed using SPSS and AMOS software.The results showed that the pathology model of social capital in organizations consists of six categories: causal conditions (3 components), contextual factors (4 components), the central phenomenon (6 components), intervening factors (3 components), strategic factors (10 components), and consequences (8 components). The results of confirmatory factor analysis indicate that the factor loadings of all items are above 0.4 and none were removed from the model; therefore, the indicators are appropriate measures for the identified factors. Furthermore, based on the results of structural equation modeling, the significance level of the indicator paths is less than 0.05, indicating that the relationships among the variables are statistically significant. The path coefficients also show that positive relationships exist among all variables.

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Articles in Press, Accepted Manuscript
Available Online from 20 June 2026

  • Receive Date 02 July 2025
  • Revise Date 19 November 2025
  • Accept Date 28 January 2026