Quarterly Journal of The Macro and Strategic Policies

Quarterly Journal of The Macro and Strategic Policies

Identifying Mental Patterns of Cultural Policymaking Based on Network Governance Using Q Method (Case Study: Islamic Student Organizations)

Document Type : Research/Original/Regular Article

Authors
1 Department of Cultural Policy, NT.C., Islamic Azad University, Tehran, Iran.
2 Assistant Prof. Department of Management, Science and Research Branch, Islamic Azad University,Tehran, Iran
3 Department of Management, Faculty of Strategic Management, Higher National Defense University, Tehran, Iran
4 Department of cultural and media management,SR.C, Islamic Azad Univercity, Tehran, iran
10.30507/jmsp.2026.545335.2841
Abstract
The art of network governance is to create synergy in adopting policies that creatively manage the diversity of patterns. The purpose of this research is to identify the mental patterns of student organization members regarding cultural policy-making within the framework of network governance. This research is applied and developmental in terms of its purpose. The research methodology is qualitative-quantitative or mixed and uses both interpretive and positivist paradigms. The strategy chosen in this research is a case study to deeply and comprehensively examine the desired dimensions and ultimately uses both inductive and deductive reasoning logic. Therefore, using theoretical literature and semi-structured interviews, 51 Q samples were sorted by 16 active members of Islamic student organizations who were selected through purposive sampling from the statistical population of teachers and members of Islamic organizations. The data collected from the Q-table were subjected to exploratory factor analysis using SPSS 26 software. In total, six mental models of policymaking were discovered from the data analysis: "identity-based, basic culture," "dialogue-based and facilitative," "education-based and structured," "value-based, transformational," "motivational incentive-based," and "trust-based participation," which together account for 65.98 percent of the total variance.
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Articles in Press, Accepted Manuscript
Available Online from 27 February 2026

  • Receive Date 05 September 2025
  • Revise Date 21 February 2026
  • Accept Date 27 February 2026