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Identifying and determining the main variables of good governance in Iran's regulatory bodies using the meta-analysis method (Case of Study: Accounts Court)
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Mohammad Abednejad   , Rostam Derakhshan * , Nasrin Jazani |
| 2. Assistant Professor, Department of Public Administration, Ramhormoz Branch, Islamic Azad University, Ramhormoz, Iran |
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Abstract: (401 Views) |
| One of the important topics that has been paid attention to in the last decade is governance and the way of governance. Therefore, the purpose of this research is to identify and determine the main variables of good governance in Iran's regulatory bodies using the meta-analysis method. This thesis is practical and descriptive in terms of purpose. The present research has analyzed all the articles, books, theses and treatises between the years 1385 and 1402 about good governance by using the meta-analysis method, and 42 cases were selected after screening. In this research, an exploratory design of categorization type has been used. In this project, qualitative data were first collected through library studies and evaluated based on the meta-analysis method. The results of data analysis show that the main variables of good governance in Iran's regulatory bodies can be divided into five categories: contextual, structural, regulatory, cultural, social, and functional, each of which is defined by an index. (25 indicators) are defined. The results of this research showed that by focusing on the identified variables and implementing applicable proposals, regulatory institutions in Iran can strengthen their governance practices, improve organizational performance, and increase their overall effectiveness in performing their regulatory responsibilities. The obtained results can contribute to the continuous improvement of governance methods in regulatory institutions, especially the National Audit Office in Iran, and provide valuable insights to increase organizational effectiveness, transparency, and accountability. |
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| Keywords: governance, good governance, regulatory institutions, meta-analysis |
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Full-Text [PDF 1444 kb]
(99 Downloads)
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Type of Study: Research |
Subject:
Auditing
Received: 2024/06/5 | Accepted: 2024/06/30 | Published: 2024/11/30
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