Document Type : Research Paper
Authors
1
Department of Communication and Epistemology, Faculty of Literature, Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
2
Professor, Department of Communication and Epistemology, Faculty of Literature, Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3
Associate Professor of Knowledge and Information Science, Islamic Azad University, Yadegar Emam Branch
4
Assistant Professor, Faculty of Law, Theology and Political science, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abstract
Information is considered as one of the most important components of transparency in legislation. Transparent legislation requires compliance with the principles of the rights of stakeholders to quick and easy access to information available to the legislature. Stakeholders (natural and legal) to participate in legislation must be fully aware of the law-making process and their related information. Lack of transparency is one of the main causes of corruption and its increase in countries. The purpose of this study is to design a transparent model of legislative information through e-government. Indicators were extracted from domestic and international literature (10 indicators: mechanism to increase the clarity of laws and regulations; the need to promote stakeholder participation in legislation, etc.) and to codify the content of interviews (20 interviews with experts in legislation, policy and communication sciences) by analysis The content and software of MAXQDA were used based on the data theory theory strategy and from this stage onwards, the process of descriptive and interpretive coding of the extracted indices began. While coding, categories were identified that helped to extract the research pattern. After content analysis, 48 concepts were identified and summarized in the form of 10 categories and became the basis for template design. After designing the model and collecting data through surveying, the final model was designed and tested with AMOS software and the necessary corrections were made. In the final model, the relationships were accepted at the significance level of 0.001.
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