Digital Transformation and Administration Innovation

The purpose of this study is to examine the status of District 12 of Tehran in terms of women’s security indicators and to identify the most important factors reducing women’s security in this district. This research is descriptive–analytical in method and applied in purpose. Data were obtained through the distribution of questionnaires among 38 women residing in District 12 of Tehran. The results were analyzed using Spearman’s correlation coefficient, exploratory factor analysis, and Friedman’s test in the SPSS environment. Field survey results indicate that, based on the average of 10 research indicators, women’s security in 7 dimensions—including physical, structural, functional, urban management, urban furniture, urban transportation, and cultural–social dimensions—is below 3. This indicates that the status of various indicators related to women’s security in District 12 of Tehran is unfavorable. Moreover, the status of three dimensions—urban quality of life, accessibility, and behavioral—is at a relatively moderate level. The correlation coefficient between dimensions also shows that accessibility and quality of life are correlated with the behavioral dimension; the cultural–social dimension is correlated with urban management and urban furniture; and the physical dimension is correlated with the structural dimension. These correlations are at a moderate and positive level. Therefore, any weakness in one dimension can negatively affect its corresponding dimension, thereby reducing overall women’s security in District 12 of Tehran. As a result of exploratory factor analysis, latent factors or constructs within the 10 dimensions of women’s security were extracted, and 15 factors underlying the 59 research variables were identified. The final 15 extracted factors were able to explain 47.01% of the variance of all research variables. In each factor, among the 15 factors derived from factor analysis, most variables with higher factor loadings were related to physical, urban furniture, urban quality, and accessibility issues. A comparison of dimension averages using the one-sample t-test showed that the women’s security index, with a significance level of less than 0.05, is not in a better situation. Furthermore, the results of Friedman’s test showed that the structural and urban furniture dimensions ranked eighth and ninth in mean rank, respectively. Therefore, it can be said that these two dimensions play a major role in reducing women’s security compared to other dimensions. Overall, the status of women’s security indicators in District 12 of Tehran is unfavorable. Moreover, the structural and urban furniture factors are the most important contributors to the reduction of women’s security in urban spaces in District 12 of Tehran and should receive special attention from urban managers to improve women’s security in urban spaces. Among the indicators affecting women’s security in urban spaces, the structural and urban furniture dimensions play a significant role in enhancing both the subjective and objective aspects of women’s security. Organizing urban spaces in these dimensions can greatly contribute to increasing the sense of security among citizens, particularly women.

Undoubtedly, human capital constitutes the core pillar of every organization. On the other hand, innovation is indispensable for the survival of organizations. The present study analyzed the structural equations of the organizational innovation model, emphasizing the role of intellectual capital within organizations. Methodologically, the study employed a quantitative-descriptive approach based on structural equation modeling. Furthermore, the study is applied in nature. The statistical population comprised experts, managers, supervisors, and board members of the Ur Company in Iraq, totaling 195 individuals. Accordingly, the sample size was determined as 130 based on Cochran's formula. A researcher-made questionnaire was used as the data collection instrument. To evaluate the reliability of the instrument, Cronbach’s alpha method was applied, yielding an overall reliability coefficient of 0.93. For data analysis, structural equation modeling was conducted using Amos version 24. Based on the research findings, causal conditions had a significant effect on the core phenomenon. The standardized path coefficient (β) was 0.66. The standardized path coefficient for intervening factors on strategies was 0.26, indicating a positive and moderate relationship between contextual factors and strategies. The standardized path coefficient (β) for strategies was 0.32, reflecting a moderately positive relationship between strategies and outcomes. Ultimately, all model fit indices, including RMSEA and CFI, demonstrated acceptable results, indicating a good fit of the proposed model with the data. It can be concluded that innovation based on an intellectual capital approach—especially in large companies such as Ur Company in Iraq—can, through the utilization of appropriate organizational infrastructures, innovative strategies, and knowledge management, lead to enhanced performance and organizational credibility.

The present study was conducted with the aim of clarifying the research methodology in the field of the information technology security governance model. The overall objective of this meta-analysis study is to examine research using keywords such as security governance, information technology security, information and communication technology security, data security, cybersecurity, and cyberspace security. This research is carried out in the form of a meta-analysis. The study covers the time period from 2010 to 2021. A total of 98 domestic and international studies were selected by applying relevant filters. During the review period, there was a significant increase in research related to information technology security governance. Findings show that in qualitative methodologies, data collection methods are primarily based on interviews, field observation, use of secondary sources, brainstorming, or a combination of these methods. In quantitative methodologies, the predominant data collection tool was the questionnaire. Data analysis methods in qualitative research were mainly content analysis, grounded theory, thematic analysis, and Delphi technique. In quantitative methodologies, correlation and regression analysis, structural equation modeling (SEM), analysis of variance (ANOVA), descriptive statistical analyses, and the F-test were used.

This study aims to identify and categorize the key components of an e-government governance model that facilitates the creation and development of digital businesses in Iran. The research employed a qualitative methodology using semi-structured interviews with 13 purposively selected experts, including senior managers, policymakers, scholars, and digital entrepreneurs. Participants were chosen based on their expertise and active engagement in the fields of e-government and digital business. Data collection was conducted through recorded face-to-face interviews, each lasting between 45 to 70 minutes. The interview protocol included open-ended questions focusing on governance mechanisms, infrastructure, regulatory frameworks, and cross-sector collaboration. Thematic analysis was applied to analyze the transcribed interviews. Initial coding resulted in 238 raw codes, which were refined into 57 basic themes. These were further categorized into 15 organizing themes and synthesized into 7 overarching (global) themes. The analysis revealed that effective e-government governance for digital business development relies on seven global themes: smart policy-making and digital management, technological infrastructure and interoperability, integrated digital services and collaborative platforms, human resource empowerment and innovative culture, supportive legal frameworks, stakeholder collaboration, and continuous evaluation mechanisms. These themes reflect the interdependence of institutional, legal, technical, and participatory factors. Furthermore, the findings emphasize the necessity of coordinated policymaking, user-centered platforms, data security, inter-organizational collaboration, and adaptive evaluation processes to sustain digital transformation and entrepreneurial growth. The study concludes that a robust and multidimensional e-government governance model must integrate strategic policymaking, institutional agility, stakeholder participation, and technological inclusivity to foster digital entrepreneurship. The proposed framework offers actionable insights for policymakers seeking to harmonize public sector digitalization with private sector innovation and economic development.

The present study was conducted with the aim of developing a framework for managers’ engagement enthusiasm with smart technologies in the context of a platform government. This research is applied in nature, employs a qualitative data collection method, and utilizes a thematic analysis approach as its research execution method. Using the three-step thematic analysis method, the study offers a conceptual framework for understanding the enthusiasm of managerial engagement with smart technologies in the platform government. A total of 15 interviews were conducted, and through analysis and coding of related texts, the descriptive codes derived from the first phase were grouped into related categories. Based on the subject literature and theoretical sensitivity, a total of 231 open/descriptive codes, 159 basic themes, 22 organizing themes, and 8 overarching themes were identified. In the subsequent sections, the framework for managerial engagement enthusiasm with technology in the platform government was presented as a thematic network. The proposed framework in this study identifies the various dimensions that governments must consider in their activities and programs to realize and institutionalize a smart government. The research attempts to provide a comprehensive framework by identifying key dimensions that can serve as the basis for government planning and policymaking.

Human resource practices are the primary tools and methods through which organizations can influence individuals’ skills, attitudes, and behaviors to perform their tasks and achieve organizational goals. The aim of the present study was to examine the impact of strategic human resource practices on the quality of work life in a financial holding company. To this end, 123 employees were selected through a simple random sampling method. This study is applied in terms of purpose and descriptive-survey in terms of implementation method. Data collection was conducted through library research and two standardized questionnaires: Sanchez’s Strategic Human Resource Practices and Walton’s Quality of Work Life, comprising a total of 42 items. The validity of the questionnaire was confirmed by expert opinion, and its reliability was verified with a Cronbach’s alpha coefficient of 0.93. Data analysis was carried out at both descriptive and inferential statistical levels using SPSS software. The results of linear regression analysis indicated that strategic human resource practices have a positive and significant impact on employees’ quality of work life.

This study aims to elucidate and evaluate the digital human resource management model within Iran's national sports system. The research employs a developmental objective and adopts a descriptive-qualitative approach, utilizing the fuzzy Delphi method. In the initial phase, relevant indicators and dimensions were gathered through documentary and library research. Subsequently, the fuzzy Delphi method was applied. The statistical population for the qualitative approach consisted of 20 experts in sports management. A total of 23 digital human resource training and management models with various components were presented. The synthesis of these models identified 5 dimensions, 25 components, and 52 indicators. The five dimensions derived include digital recruitment, employee socialization and alignment, performance management and compensation systems, digital training and development, and digital retention and exit. The validity of the questionnaires in the qualitative section was confirmed using CVR and CVI methods, based on the opinions of sports experts. In the quantitative section, validity was affirmed through factor analysis. The normality test and reliability of the questionnaire were assessed using Cronbach's alpha, yielding a value of 0.96, which indicates strong reliability. SPSS23 and AMOS26 software were utilized for path analysis to illustrate the analytical model. Finally, based on the findings, research recommendations are presented.

The present study investigates the opportunities and threats related to the commercialization of renewable energy businesses with a focus on household consumption. Given the increasing demand for clean energy sources and the limitations of fossil fuel resources, renewable energies—particularly in the residential sector—have emerged as a sustainable solution for energy provision. Utilizing a descriptive-analytical research method, this study identifies and analyzes existing opportunities and threats while also examining the factors influencing the commercialization of such businesses. The findings indicate that declining costs of renewable energy technologies, governmental support, and growing public awareness of the benefits of these sources offer significant opportunities for commercialization. However, challenges such as high initial costs, regulatory complexities, and insufficient public awareness remain as obstacles in this domain. Overall, the commercialization of renewable energy businesses in the household sector requires collaboration and coordination among the government, the private sector, and the community. Addressing these barriers and leveraging existing opportunities are essential for the effective development of these businesses.