Administrative Health Research (AHR)

Abstract English Manufacturing and production activities in the country face numerous challenges and obstacles. Both external factors and the domestic situation have jeopardized production and halted its growth and momentum. One of these internal obstacles is the bureaucratic administrative system, characterized by features such as centralization, lengthy and time-consuming processes, lack of coordination between different sectors, rigid and inflexible procedures and processes, and other issues that have caused significant problems for production. Although the government cannot manage society, including its economy and production, without an administrative system, it must find a way to reform and mitigate the drawbacks of the bureaucratic management method to eliminate at least some of the obstacles to production in the country. New Public Management is the solution that, by applying its components, both increases the efficiency of the administrative system in the production sector and improves the quality of production and the provision of goods, while freeing production activities from the trap of ambiguous and complex administrative processes. This theory seeks to reform drawbacks such as the proliferation of ambiguous laws, governmental centralization, and process-oriented administrative procedures by emphasizing contract-based approaches, decentralization, and a focus on the results of administrative procedures. If successful in this endeavor, it can be hoped that bureaucratic obstacles to production will be removed. Therefore, the government must, in line with the changing conditions of the times and the country, based on the general policies of the system and development plans, revise the administrative system and take steps to reform and remove its obstacles. The New Public Management theory can play a significant role in this process.

Abstract The High Council of Civil Aviation (the HCCA) is considered one of the oldest and most important associative institutions in governance of the civil aviation industry of Iran. This article has attempted to reach a good recognition and analysis of the Council. This aim has been realized through considering the history of the HCCA in terms of its constitution and developments, a critique of the functioning and situation of the HCCA, as well as, discussing about the possible approaches to the existence and the future of the HCCA. The fundamental conclusion of the present analysis and recognition, demonstrates that two propositions concerning the existence of HCCA and its future, could be set up, based on the insufficiencies and difficulties which the HCCA encounters nowadays and also other existing laws and regulations. First, the necessity of continuance of Council’s existence (reinforcement and rehabilitation of the Council) and the second, the necessity of abolishment and annulment of the Council. Both of them are supported by the special arguments and documents but it seems that the first proposition avail itself of more authority and reputation compared to the second proposition. Additionally, if we are taking into consideration the historical background of the Council and the philosophy of constitution behind the “High Council of Aviation” as the predecessor of “HCCA”, that would aid the Iranian aviation industry significantly so that decides positively in respect of the reinforcement or rehabilitation of the Council and conversely, its abolishment.

Abstract Decent governance is a multifaceted concept, the goal of decent governance is to increase the efficiency of a political system for the administration of society. In traditional politics, the main issue of power is government, but in governance, the main issue is better to run society and institutions with the support of government power. Although researchers in various sciences have looked at the issue of good governance from their perspective and make recommendations for implementation, given the limitations of governments, it is necessary to identify priorities in good governance; evaluating good governance indicators in developing countries requires a multifaceted approach, so the present study was conducted with the aim of evaluating and ranking good governance indicators from the perspective of experts using the method of Phase hierarchical analysis. According to studies, the key components of decent governance can be considered political stability, quality of supervision, control of corruption, rule of law, effectiveness of government and participation. On the other hand, in order to evaluate Governance Indicators, three methods of calculating the Millennium Challenge, The Global Governance Index and the combined index were also evaluated. Corruption control was considered the most important criterion for evaluating among the criteria for evaluating the indicators of decent governance; the next rankings belong to the criteria of the rule of Law, popular participation, quality of supervision, political stability and effectiveness of the state, respectively. In view of the results obtained in response to the question of which method is best suited to evaluate decent governance, taking into account all the evaluation criteria among the methods examined, it can be said that the Global Governance Index is ranked first. The next rankings are the combined Index and the Millennium Challenge Account, respectively.

Abstract Administrative corruption remains a critical impediment to economic development, public trust, and the realization of effective governance. This study conducts a comprehensive meta-analysis of over 150 scholarly sources—both domestic and international—published between 2000 and 2025, to identify the root causes of corruption and evaluate strategic preventive measures within institutional and corporate contexts.



The findings reveal that corruption is not a singular phenomenon but a systemic outcome driven by the interaction of four key dimensions: socio-cultural norms, economic pressures, managerial-organizational deficiencies, and legal-political frameworks. Countries such as Japan, Denmark, New Zealand, Germany, and Singapore have demonstrated measurable success in reducing corruption—by 20–30%—through integrated approaches including financial transparency systems, digital governance platforms, blockchain technologies, artificial intelligence, and robust legal protections for whistleblowers.



This research applies advanced analytical tools such as the CASP checklist, Leave-One-Out sensitivity analysis, and cross-impact matrices to assess the dynamic interplay between internal and external factors influencing corruption. The result is a multidimensional, adaptable framework tailored to the Iranian context, offering policymakers a practical model for risk assessment and regulatory enhancement.



The study’s innovation lies in its simultaneous focus on public institutions and private corporations, its holistic methodology encompassing structural, cultural, managerial, and technological aspects, and its alignment with international standards such as the United Nations Convention Against Corruption (UNCAC). By integrating global best practices with Iran’s socio-economic and legal realities, the research proposes a localized, actionable model for corruption prevention.



Ultimately, this study serves as a foundational resource for developing evidence-based, operational anti-corruption policies at the national level. It provides strategic insights for leaders and decision-makers seeking to strengthen oversight mechanisms, reduce systemic vulnerabilities, and foster a culture of integrity across both governmental and corporate sectors.

Abstract The present study seeks to identify the factors affecting people's participation in submitting corruption reports to the General Inspection Organization and to model and interpret the relationships between these factors for further explanation and understanding among managers and policymakers. The study was conducted in a qualitative-quantitative manner; first, the effective factors were identified using the systematic review method, and in the next stage, the relationships between the factors were modeled and interpreted using the comprehensive fuzzy structural-interpretive modeling method. The findings in the systematic review section showed that the factors affecting people's participation in reporting corruption include 8 components. The components are: individual characteristics, moral and spiritual (value) characteristics, structural characteristics, legal characteristics, motivational characteristics, communication and informational characteristics, security characteristics, and educational and cultural characteristics. The findings in the comprehensive fuzzy structural-interpretive modeling section showed that there is a cause-and-effect relationship between the factors affecting people's participation in reporting corruption, and the factors were classified into three levels; in such a way that at level one, which is the most influential level, there are motivational characteristics, moral and spiritual (value) characteristics, and educational and cultural characteristics; at level two, there are individual characteristics, communication and informational characteristics, and security characteristics; and at level three, which is the most influential level, there are structural characteristics and legal characteristics. The results showed that the existence of a precise and specific structure and rules are the basic foundations in attracting people's participation in reporting corruption. After attracting public participation, maintaining security, creating a communication and information circle, and personal characteristics will strengthen public participation. Finally, creating motivation, maintaining ethics and values, and proper education, and creating an appropriate cultural context will lead to the peak of public participation in reporting corruption.

Abstract In the era of digital transformation, traditional oversight mechanisms no longer suffice to address the complexity and speed of governance decision-making. The emergence of new technologies, data-driven approaches, and participatory models has intensified the need to design a digital oversight ecosystem. This study aims to identify and prioritize the factors influencing the formation and advancement of such an ecosystem at the national level. The research employs a mixed-method approach, conducted in two phases: meta-synthesis and interpretive structural modeling (ISM). First, through meta-synthesis of 15 reputable international scientific documents published between 2015 and 2025, key factors contributing to the development of a digital oversight ecosystem were identified. Then, using ISM analysis, expert opinions were examined to prioritize the identified factors.

Findings reveal that the factors influencing the digital oversight ecosystem fall into five conceptual levels:Leadership (the most fundamental factor),Digital technologies, data, nd culture (infrastructural factors),Support and oversight processes (operational factors),Ecosystem processes (structural factors),Governance values such as transparency, justice, and public trust (as the ultimate outcomes of the structure)

The proposed model demonstrates that successful implementation of digital oversight requires sustained interaction among technical, cultural, and institutional elements. Sole reliance on technology, without structural reforms and transformative leadership, is insufficient. The innovation of this study lies in presenting a multi-level, interactive, and generalizable model for analyzing the digital oversight ecosystem—one that is conceptually useful for policymakers and can serve as a foundation for designing indicators, evaluations, and digital transformation programs within national oversight institutions.