Designing a Dynamic Model to Analyze Social Capital with System Dynamics Approach

Document Type : Research/Original/Regular

Authors

1 Ph. D. Student, Faculty of Management and Economics, Science and Research branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran

3 Professor, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

4 Professor, Faculty of Economics and Administrative Sciences, Science and Research branch, Islamic Azad University, Tehran, Iran

5 Associate Professor, Faculty of Economics and Administrative Sciences, Science and Research branch, Islamic Azad University, Tehran, Iran

Abstract

The main goal of this study is to analyze the complex and dynamic behavior of influential participants in the process of social capital. Considering the complex nature of human relations, this study seeks to describe the mechanisms of trust networks and normalization as sub-systems of social capital and their mutual relations, their effects on economic and social systems, and the way they bring about profitability. By taking account of the theoretical framework developed by nine experts in this field and through Fuzzy Analytical Network Process and combining it with system dynamic methodology, three sub-systems were designed. Using Venism software, a general model was simulated in which the behavior of these mechanisms could be analyzed in different situations. Considering the structure of the model and the behavior of the systems, and analyzing the sensitivity level of proposed policies, one could map optimistic, pessimistic and normal scenarios based on the proposed eightfold policies. Finally, a comparison of the most likely scenario with the current state of affairs and the initial state of the actual system allowed us to select the optimal policy for the implementation of long term changes.

Keywords

Main Subjects

References

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Social Capital Management
Volume 6, Issue 4
January 2020
Pages 445-473

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