Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

The Place of Incrementalism in Policymaking: Challenges in the Political Development of the Islamic Republic of Iran.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Subject Terms:
    • Abstract:
      المقالة تستعرض دور التدرج في عملية صنع السياسات وتأثيره على التطور السياسي في الجمهورية الإسلامية الإيرانية. وتدعي أن التدرج، الذي يتميز بالتغييرات السياسية التدريجية بدلاً من الإصلاحات الكبيرة، قد ساهم في الركود السياسي وأصبح عقبة أمام التحديث والحكم الفعال. تستخدم الدراسة نظرية المؤسسات التاريخية ونظرية الاعتماد على المسار لتحليل كيفية تعزيز القرارات السابقة والهياكل البيروقراطية القائمة للسياسات المحافظة، مما يحد من التقدم السياسي. في النهاية، يقترح المؤلفون أن التفاعل بين التدرج والاعتماد على المسار قد أعاق إنشاء ثقافة سياسية قوية ومؤسسات سياسية فعالة في إيران. [Extracted from the article]
    • Abstract:
      Objective: The present study aims to analyze the conditions that led to the lack of political development in the Islamic Republic of Iran by utilizing the tenets of Incrementalism theory and its related perspective (path dependency). Method: Historical institutionalism and a descriptive-analytical approach. Results: The strategy of incrementalism is considered a tool in the policymaking arena of the Islamic Republic of Iran, which leads to policy accumulation and creates an impasse in the country's political development. This is deeply conservative and serves anti-political development forces. Conclusions: The research results show that incrementalism is considered an obstacle in the Islamic Republic of Iran, which, as much as any conceptual framework related to the policymaking process, has created challenges in the field of political development in the Islamic Republic of Iran. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Journal of Contemporary Research on Islamic Revolution is the property of University of Tehran and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)