rouhollah shafieian; Mirali Seyed Naqvi; Vojollah Ghorbaniazadeh; Alireza Koushki Jahromi
Abstract
his study aimed to design a Tipping Point Leadership model with a priority on Resource Mobilization at Golrang Pharmaceutical Investment Holding Company. A developmental–applied orientation, the research employed a mixed qualitative–quantitative method. In the first phase, a PRISMA-based ...
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his study aimed to design a Tipping Point Leadership model with a priority on Resource Mobilization at Golrang Pharmaceutical Investment Holding Company. A developmental–applied orientation, the research employed a mixed qualitative–quantitative method. In the first phase, a PRISMA-based systematic review of 1,291 documents (2015–2025) from four Latin and three Persian databases was conducted, with documentation managed through Zotero. In the second phase, thematic analysis of semi-structured interviews with experts and senior managers was conducted to extract key concepts. In the third phase, Interpretive Structural Modeling and MICMAC analysis were applied to the structure dimensions and examined their relationships. Findings revealed 12 dimensions across three levels. Identifying and creating tipping points, cognitive–perceptual, and resource mobilization act as primary drivers. The second level includes strategic change management, dynamic capability building, contextual values, motivational and psychological leadership, communication management and stakeholder participation, management of political barriers, innovation and technological transformation, and organizational agility. At the third level, identifying and creating tipping points, cognitive–perceptual capability, and organizational resource mobilization function as primary drivers.
reza bastami; mahdi mortazavi; rashid ghanei
Abstract
The aim of the research is to identify and analyze the challenges of policy implementation in the licensing process in the petrochemical industry using a mixed method. In the qualitative phase, data were collected through semi-structured interviews with 6 experts consisting of managers and specialists ...
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The aim of the research is to identify and analyze the challenges of policy implementation in the licensing process in the petrochemical industry using a mixed method. In the qualitative phase, data were collected through semi-structured interviews with 6 experts consisting of managers and specialists with at least 5 years of direct experience in obtaining licenses in the petrochemical industry, who were selected using a snowball sampling method, and thematic analysis led to the identification of 4 organizing themes and 15 basic themes. In the quantitative phase, the themes were agreed upon after two rounds of expert surveys and quantitative analysis using the Fuzzy Delphi method. The most important challenge identified was “insular performance and conflict of interest among relevant institutions”. The findings reveal structural and process challenges affecting the efficiency of licensing policies in the implementation phase and provide solutions based on the findings to improve licensing and development in the petrochemical industry.
Amir Reza Narimani; Ahmad Reza Abazari
Abstract
Privatization, as one of the key instruments for restructuring economies, has garnered significant attention in many countries over recent decades, aiming to enhance efficiency, promote competitiveness, and reduce state ownership. In Iran, the implementation of the general policies of Article 44 of the ...
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Privatization, as one of the key instruments for restructuring economies, has garnered significant attention in many countries over recent decades, aiming to enhance efficiency, promote competitiveness, and reduce state ownership. In Iran, the implementation of the general policies of Article 44 of the Constitution has elevated privatization to a central pillar of economic policymaking. However, the privatization experience in strategic industries, particularly the petroleum sector, has been fraught with considerable institutional and governance challenges. The present study seeks to analyze the efficacy of privatization policies in Iran's oil industry, examining this process not merely as a transfer of ownership, but rather as an institution- and governance-centered phenomenon. Methodologically, this research adopts a qualitative approach with an applied objective, and data were collected through documentary analysis and semi-structured interviews with experts in energy policy. Data analysis was conducted using Braun and Clarke's thematic analysis method, employing MAXQDA software. The findings led to the identification of four major themes: the dominance of short-term financial logic over developmental privatization objectives, weak regulatory governance and institutional incoordination, the failure to effect genuine managerial control transfer, and the reproduction of monopoly in a new form. The results indicate that privatization in Iran's petroleum industry has largely taken the form of "quasi-privatization," failing to achieve goals such as increased productivity, competitiveness, and reduced government intervention. The paper concludes by offering policy recommendations at strategic, institutional, and operational levels, emphasizing the necessity of reforming the governance and regulatory framework as a prerequisite for successful privatization in the petroleum sector.
Hormat Asghari; Abbas Khodaparast
Abstract
With the expansion of new technologies in governance, artificial intelligence has become a key tool in decision-making and public policy. Although the application of this technology within the country’s policymaking system remains in its early or limited stages, the shift toward intelligent decision-support ...
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With the expansion of new technologies in governance, artificial intelligence has become a key tool in decision-making and public policy. Although the application of this technology within the country’s policymaking system remains in its early or limited stages, the shift toward intelligent decision-support systems has made it increasingly necessary to identify the human requirements of this transformation. Nevertheless, the human dimensions that shape policymakers’ interactions with intelligent decision-support systems warrant further investigation. This study aims to identify and elucidate the human factors influencing policymakers’ participation in AI-based decision-making processes. This qualitative study employs thematic analysis and collected data through semi-structured interviews with 20 experts in public policy and digital transformation. The findings identified six overarching themes: cognitive competence; psycho-behavioral characteristics and communication capabilities; attitudes toward technology; professional experience; and institutional and contextual conditions. These themes comprised 14 main themes and 39 basic themes, reflecting the diverse and complex dimensions of human factors in intelligent decision-making. The results emphasize that the effective use of intelligent systems requires strengthening human capacities alongside the development of technological infrastructures.
sepideh moazen; Pejman Salehi; mohamad ahmadiyan
Abstract
Today, the survival of organizations largely depends on customer satisfaction. In other words, improving customer service and increasing satisfaction enable an organization to progress. There are fundamental differences among customers; customers themselves are divided into various groups, each with ...
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Today, the survival of organizations largely depends on customer satisfaction. In other words, improving customer service and increasing satisfaction enable an organization to progress. There are fundamental differences among customers; customers themselves are divided into various groups, each with different processes, needs, and requirements. However, in general, the customer is the key to an organization’s survival. Despite the importance of citizens’ rights as a key indicator of development and democracy, evidence suggests that in Iran, particularly in urban management, there is still no integrated, indigenous, and practical model for the operational realization of citizens’ rights. This study sought to identify the essential components for ensuring citizens’ rights in the Tehran Municipality. The research is applied in purpose and qualitative in data collection methodology. The results showed that the model for ensuring citizens’ rights in the Tehran Municipality comprises 6 overarching themes, 21 basic themes, and 72 thematic codes. Based on the results of the thematic analysis, the main dimensions of the model for ensuring citizens’ rights in the Tehran Municipality include: 1) Level of awareness of citizens’ rights, 2) Behavior and experience, 3) Implementation of policies and citizens’ rights, 4) Organizational structure, 5) Behaviors and interactions, 6) Monitoring and evaluation mechanisms, and 7) Follow-up strategies.
mohammad yazdaniziarat
Abstract
The present study aims to design a public value-creation model for provincial governance, focusing on the role of public service management and excellence in advancing the public interest. Employing a qualitative approach and grounded theory methodology, this study conducted in-depth, semi-structured ...
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The present study aims to design a public value-creation model for provincial governance, focusing on the role of public service management and excellence in advancing the public interest. Employing a qualitative approach and grounded theory methodology, this study conducted in-depth, semi-structured interviews with 30 key governance stakeholders in North Khorasan Province, including senior and middle managers, experts, council members, private-sector activists, and citizens. Data analysis through three stages of open, axial, and selective coding resulted in a paradigmatic model in which "the necessity of transition from execution-oriented governance to value-creating governance" was identified as the core phenomenon. Findings indicate that this phenomenon—i.e., the awareness of the necessity of transition—emerges at the intersection of institutional pressures, functional inefficiencies, and increasing stakeholder demands, and is shaped within six contextual conditions: socio-cultural, economic-resource, geographical-infrastructural, institutional-governance, environmental-climatic, and human-organizational capacity. Influenced by political, economic, managerial, and environmental intervening conditions, actors pursue six categories of strategies: institutional-strategic, operational-service, communication-trust-building, human capacity development, governance role-making, and technological-adaptive. The consequences of this process manifest at economic-developmental, social-institutional, governance-institutional, functional-service, and macro-symbolic levels, with feedback loops placing the governance system on a self-regulating path in interaction with national governance. By presenting a dynamic, process-oriented model for public value creation, this study demonstrates that public service excellence depends on local actors' capacity to adapt strategies creatively to multifaceted provincial contexts through feedback loops and continuous learning, while interacting with national governance levels and aligning with upstream documents.
