نورمحمد یعقوبی

The purpose of this research is to design an entrepreneurial government model in recruiting and selecting public sector human resources (case study: Sistan and Baluchistan province). The present research is practical and exploratory in terms of purpose; And it is specifically based on structural equation modeling. The statistical population of the research is all human resource managers and experts in government organizations located in Sistan and Baluchistan province, whose number in 2019 is about 700 people, and the sample size is based on the rule proposed by Bentler and Chu (1987). 390 people were selected by simple random sampling method. The collection tool in this research is a researcher-made questionnaire, taken from the qualitative part. In order to analyze the data, structural equation technique was used using Lisrel statistical software and Spss statistical software. The results showed that seven hypotheses out of the total of nine formulated hypotheses according to the research model, at the 5% error level, there is no evidence to reject them and it has a positive and significant effect, as well as the results of the average values ​​of common values ​​and the average values ​​of R Squares; It shows that the value of GOF is equal to 0.790, which indicates the strong fit of the model.

This study aims to design a model for enhancing the acceptance level of electronic services. The research philosophy is interpretive, and a mixed-method approach (qualitative and quantitative) was applied. The research is practical in purpose and exploratory in nature and method. The qualitative phase's statistical population comprised experts in executive and academic sectors related to electronic government, with a sample of 17 participants selected through purposive (snowball) sampling. The quantitative phase's statistical population included active employees in the information technology departments of executive agencies as electronic service providers, along with citizens of Zahedan as service recipients; the sample was selected using stratified sampling. The research strategy involved thematic analysis in the qualitative phase and fuzzy DEMATEL in the quantitative phase. Data collection tools included library studies, semi-structured interviews, and questionnaires, analyzed using SPSS and NVivo12 software. The content analysis results identified factors affecting the acceptance of electronic services in four categories, 16 dimensions, 33 components, and 146 indicators. The findings also indicated that causal enablers of acceptance level had the highest row and column differentiation values in the fuzzy total relations matrix (R-C), highlighting their impact, whereas consequences had the lowest values, indicating their higher level of dependency.

In recent years, the emphasis on community-oriented capacities as one of the important approaches to the resilience of societies in crisis conditions has attracted the attention of many experts and researchers. Therefore, the present research was conducted with the aim of identifying factors affecting resilience based on community-oriented capacities in crisis conditions and providing a model in this field using the meta-synthesis method.

The Behavioral Finance Affairs Are Related to Investors' Spirit and Its Role in Financial Decisions. We Know that Humans Have Feelings That Can Affect Their Decisions. Such Decisions are Commonly Inefficient and Unreasonable and Can Result in Some Damages and Disasters in Stock Markets.The Present Study Is Aimed to Present an Appropriate Model for Bridling The Emotional Behaviors of The New Investors in Tehran Stock Exchange. In This Study, The Grounded Theory Is Used for Answering The Questions. This Study is Conducted Based on The Theoretical Sampling Introduced by Strauss and Corbin (2008). In The Sample Group, 12 Semi-Structured Interviews Were Conducted with Managers, Traders, and Instructors of Financial Institutions. The Obtained Results Indicated 230 Primary Codes, Which Were Classified Into 21 Main Categories. Education And Culture-Creation, Planned and Organized Offering, Capital Management, Innovation and Structural Factors, Rules, Regulations, and Punishments, and Economic and Political Factors Are The Identified Strategies That in The Case of Being Prioritized by Organizations, Financial Institutions, and New Investors, Then We Can Expect Reduction in The Investors' Emotional Behaviors.

This research has been compiled with the aim of designing a model of public persuasion in good urban governance in Khorasan-Razavi executive bodies. The research method is of a mixed type, which in the qualitative part is based on data theorizing and in the quantitative part, it is a survey with the approach of structural equations. The sampling method in the qualitative part is purposeful and snowball type, the number of participants is 12 people. The statistical population in the quantitative stage is all the managers of executive bodies of Razavi Khorasan in the 2021, whose number is 8936 people. The research method in the quantitative part is a survey with the approach of structural equations and the researcher-made questionnaire tool. The sampling method in the quantitative stage is stratified random sampling proportional to the volume of 368 people. Data analysis in the qualitative part is through coding using MaxQDA software. The findings of the research have shown that factors such as social capital and governance of issues cause public persuasion to form and lead to consequences such as improved performance in the form of sustainable human development and improved problem-solving. The context of these strategies are supportive and cultural policies. In the meantime, one should not ignore the intervenors, such as environmental barriers and communication barriers.

The purpose of this research is the model of recruitment and selection of human resources of the public sector with the approach of the entrepreneurial government. This research is applicable in terms of its purpose, qualitative in terms of the data collection method, and a meta-composite approach in terms of the research implementation method. The statistical population of the research includes all elites and university professors and relevant experts in the field of human resources and entrepreneurial government in Sistan and Baluchistan province, whose number in 2020 is about 200 people, who were selected non-randomly in a purposeful way. Meta-composition method was used for data analysis. Extraction of components and indicators was obtained from background investigation and theoretical foundations, and then coding was used for analysis. According to the data analysis, 545 final codes were extracted through open coding and then, using axial coding were categorized in the form of 121 concepts and 16 categories; contextual (environmental) factors, structural (organizational) factors, behavioral (content) factors, Recruiting human resources, selecting human resources, identifying entrepreneurial opportunities in the public sector, exploiting entrepreneurial opportunities in the public sector, executive and managerial obstacles, political and legal obstacles, economic obstacles, cultural and social obstacles, combined selection with domination of internal resources in experience-based jobs, combined selection with the domination of external resources in knowledge-based jobs, individual consequences, organizational consequences, social consequences, and finally, in the stage of selective coding, the process and multidimensional model has been presented for the first time at the level of government organizations of Sistan and Baluchistan province.

The emergence of new issues and their complexity has led to the issue of good policy making. Therefore, the purpose of this research is to provide a good policy making model in the field of higher education. The current research is practical in terms of its purpose and descriptive-survey in terms of its nature and research method. The statistical population of the research study is professors, master's and doctoral students of decision-making and public policy-making. According to the size of the research population the statistical sample is 80 people based on Morgan table. The research measurement tool includes library studies and four questionnaires. The collected data has been analyzed using PLS software. According to library studies, literature background and interviews, the conceptual model of the research including fundamental-structural,contextual-situational, mediating-intermediate factors and the consequences of good policy-making was identified. In the second phase of the research, in order to test the model, the relationships between the variables were tested. The results showed that the effect of the fundamental-structural variables of the policy on the mediating-intermediate variables of the policy is (0.277), the effect of the contextual-situational variables of the policy on the mediating-intermediate variables of the policy is (0.670), and the effect of the mediating-intermediate variables of the policy on the consequences of good policy-making is (0.686). also it can be said that the fundamental-structural and contextual-situational variables of the policy have a positive and significant effect on the consequences of good policy-making through the mediating-intermediate variables of the policy.

In recent years, the use of information technology in the health industry has expanded, and in order to improve the quality and speed of providing services to patients, telemedicine has been proposed as a new solution. Therefore, for the successful implementation and optimal use of telemedicine, in addition to the necessary infrastructure and success factors of this technology, such as high-speed Internet, up-to-date hardware and software, remote video communication systems, and distance education equipment, Specialist human resources should also be used. Sistan and Baluchistan province is a vast province, and due to the uneven distribution of specialized healthcare facilities and specialists, as well as the lack of adequate health care centers in its cities and villages, people do not have adequate access to medical services. Therefore, the current research seeks to provide a model for establishing telemedicine in selected hospitals of Sistan and Baluchistan province.

Sistan region, having rich potentials in the field of renewable resources, has many opportunities for sustainable development. In this article, the importance and necessity of appropriate policy in the field renewable resource management in this region is investigated and explained. The main goal of this article is to provide practical solutions and policies for the effective and efficient implementation of renewable resources management policies in Sistan region. The current research is applied in terms purpose and descriptive-survey in terms its nature and method. In order to achieve the goals in the present study, first by reviewing the literature and theoretical foundations of the research, field observations and exploratory studies author, the data were obtained, and in the next step, content analysis was used for coding. In this study, category of renewable resources management policy tools in line with the sustainable development of Sistan region, five sub-categories of economic, regulatory, policies and planning, financial, informational and normative encouragement and the extracted codes include infrastructure development, investment encouragement, market development, Research and development of technology, education and workforce preparation, determination technical standards, safety of renewable energy production licenses, attention to land restrictions construction, electricity market regulations, pricing, property rights, laws and regulations, economic measures, setting goals and policies, financial support, support From research and development, financial facilities, tax discounts, rewards and financial privileges, encouraging foreign investment and government investment, promotion and advertising, research and research, transfer knowledge and information, creation of standards and systems, promotion of public awareness and research and development.

Evaluation of service quality is one of the main concerns of government and non-government service providers. With the advancement of mobile technologies and the provision of government services to citizens in the framework of mobile government, the evaluation of the quality of this type of service has already received the attention of governments and researchers in the field of mobile government service quality. In this research, thematic analysis method and interpretive structural modeling (ISM) technique have been used. By analyzing the theme of the identified factors and themes and using the interpretive structural modeling method, the factors have been identified and classified among these factors.The method of theme analysis and interpretive structural modeling is based on the opinion of experts. The experts in this research consist of 14 expert professors, researchers and executives in the field of mobile government. The results of the research show that evaluating the quality of mobile government services at the first level, satisfying citizens at the second level, educating citizens and building trust in mobile government services at the third level, designing aapplication at the fourth level, data security and the culture of mobile government services at the fifth level, organizational policy, Web3 capabilities, and software and hardware infrastructure are at level six.

The phenomenon of unreasonable escalation of commitments and decisions, well-known in organizational behavior, is where individuals, particularly managers, persist in investing in failed actions. This study aims to design a model for managing escalation of commitment in the public sector.

Design/Methodology/Approach: 

We employed a qualitative research method based on a data-driven approach. The study population included managers with experience in governmental organizations in Khorasan Razavi Province. Utilizing the saturation principle and snowball sampling method, 12 participants were selected as the sample size. Data collection involved general guidance and semi-structured interviews. Data analysis was conducted using quantitative methods and MaxQDA software.

The study reveals that the escalation model for managers' commitment in the public sector comprises several elements: causal conditions with individual, collective, and organizational factors; a central category featuring the escalation of commitment factor; a strategy with resource absorption, time application, and non-limitation strategy components; consequences including undesirable governance and performance reduction; and context with cultural factors, social factors, and environmental factors as the observer.Implications: The negative connotations of the issue and managers' fear of consequences lead them to avoid responding.

Practical Implications: 

Understanding these factors can help managers recognize and address the impacts of commitment escalation.

Innovation or Value of the Article: 

This research uniquely designs a model for managers' commitment in the public sector, highlighting the originality of this article.Paper Type: Research Paper

Insisting on commitments means persistently pursuing decisions despite negative feedback and causes a person to hesitate in removing their wrong plans. The current research is of a mixed type and has been compiled with the aim of managers' insistence on initial commitments in government organizations (causes and consequences). The research strategy in the qualitative part is foundational data theorizing and in the quantitative part, survey. The participants of the qualitative part were 12 managers with management experience in government agencies, who were selected as the sample size using the saturation principle and snowball sampling method, and in the quantitative part, all the managers of the government agencies of Khorasan Razavi province were 386. People were selected by stratified random method according to the volume. The findings include causal conditions with three components of individual, group and organizational factors; A central category with a component of insisting on commitment; Strategy with three components of attracting resources, using time and not limiting; Consequences with two components of unfavorable governance, reduced performance; contexts with two components of cultural factors and social factors; The intervention was with the component of environmental factors. The results showed that the mentioned model has the necessary validity.

Nurses who are at the forefront of the health system and have one of the most challenging jobs, experience high levels of risk and emotional conflict due to the fact that they often face stressful situations, which more likely reduce their job satisfaction and organizational commitment that eventually leads to quit their jobs. The purpose of the current research was to provide a comprehensive and clear overview of psychological contract research and finally recommended research directions for future researchers to fill research gaps. Psychological contract is defined as the employees' beliefs and perceptions about the terms and conditions of a reciprocal exchange agreement between them and the organization. Psychological contract is important in labor relations and is shaped based on the attitudes and behaviors of the various parties to the contract.

A systematic search was conducted in international and domestic databases in Azar 1400. Following the protocols of the proposed tools for systematic review and inclusion and exclusion criteria, finally 22 articles were selected for analysis.

Total of 22 articles were identified from 1999 to 2021, of which 14 were conducted in the last seven years. The number of samples varied from 10 nurses for interviews to 1039 nurses through online questionnaires. All records were cross-sectional of which 16 were quantitative, 5 were qualitative and one used combined method. Nurses' psychological contracts were divided into three general themes. The first theme focused on the process of formation and development of psychological contract. The second theme focused on identifying the content and nature of these contracts. The third theme focused on the process of fulfilling and breach of the psychological contract. The results showed that despite the growing interest and effort of published research on nurses and psychological contracts, and despite recognizing that the concept of psychological contracts is a valuable theoretical framework to understand nurses' experiences and how to better manage hospitals, yet there is a lot of information about nurses' psychological contracts that future papers should study.

Moreover, as cross-sectional approach was the only used method so far, it is suggested to do longitudinal designs in future studies. In a cross-sectional study, it cannot be said with certainty that the effective factors unilaterally affect the fulfillment or breach and there is no inverse relationship. In addition, the impact of the COVID-19 epidemic on the process of formation, development, content, fulfillment and breach of nurses' psychological contracts can be noted in future studies.

The transformation and reform of the administrative system, which is carried out with the aim of adapting the roles, capacities, and capabilities of the administrative system, is a vital matter, so that the second plan of the road map for the reform of the administrative system of Iran has been compiled in line with this need, and it emphasizes administrative smartness to facilitate the provision of services to the people. Therefore, this research was formed with the aim of identifying the requirements of creating a smart organization and presenting a model for it. The nature of the research is exploratory, which was carried out under the umbrella of interpretive paradigm, using the grounded theory methodology. The statistical population of the research was university experts who were aware of organization and management issues, who were selected using the purposeful sampling method. Based on the rule of theoretical saturation and in order to collect the required data, seventeen in-depth and semi-structured interviews were conducted with them. The data obtained from the interviews were analyzed using the content analysis technique in the MaxQDA software in three stages of open, axial, and selective coding. Finally, 54 concepts and 19 categories were extracted from the analysis of the interviews, which formed the causal, contextual, intervening factors, strategies, and consequences of the research model. The robustness of the research was confirmed by the four criteria of validity, transferability, reliability, and verifiability.

Technology_based reforms with an emphasis on the digital society, especially in the public sector, have been put on the agenda of most countries and have become a new issue for the government today. The open government model relying on open data, is one of the new models for implementing technology-based reforms. The purpose of the current research is to identify the components of open government and to present its model. This is an applied research and was conducted with a meta-synthesis approach. The data obtained from a systematic review of related studies and researches in the last five years (27 sources), in the field of open government, were selected for analysis with the meta_synthesis approach. Based on this, 8 concepts and 15 indicators were identified and prioritized using the Shannon Antropy method. The results of the research indicate that the codes of communication, information, accuracy, continuous cooperation, participation, reliability , quality, consultation, trust , security, protection, comprehensiveness, inclusiveness respectively have the highest coefficient of importance.

Knowledge must be a key value-creating resource for organizations and the knowledge management system (KMS) shall be embedded into the overall enterprise management system. Accordingly, KM has been included in the ISO 30401 standard specifying requirements for KMSs. The implementation of the ISO Knowledge Management (KM) standard is gaining increasing attention among organizations and it is bringing out several issues to investigate, such as required factors (RFs) for the implementation of KM in them based on ISO 30401 ways of “standardizing” KM systems, and risks, challenges and benefits of implementing the standard.

Research Question (s): 

This paper aims to answer the question: What factors are required to implement KM in organizations based on ISO 30401?

Literature Review:

In the past 40 years, management theory has come a long way toward explaining how value can be created from knowledge. Building on the Resource-based View, the disciplines of intellectual capital (IC) theory and knowledge management (KM) theory have thoroughly theorized the links between knowledge and firm value. On this basis, countless management initiatives have been devised and empirically examined. Against this backdrop, the International Standards Organization (ISO) released a Management Standard on Knowledge Management Systems (KMS(, which aims “to support organizations to develop a management system that effectively promotes and enables value-creation through knowledge. The ISO 30401 Knowledge Management Systems – Requirements is based on the intention to create a common denominator of an international KM development history and implementation guide. The proposed standard is an opportunity to create a common language for global conversations about KM that just might help organizations manage knowledge more effectively. One may add that the standard can also support KM scholars in agreeing on a joint theoretical and conceptual basis for future research and teaching. However, this requires a theoretical foundation. To date, the ISO 30401 has been examined at a general level, with the analysis focusing on the advantages of and criticisms to the overall structure and content of the standard. There have also been some publications on specific narrow aspects of ISO 30401, such as its implications for risk management, controlling, or enterprise architecture models. The standard has, however, not yet been systematically researched to the identified required factors (RFs) for the implementation of KM in the organizations based on ISO 30401. To fill this gap, this paper aims to the identified required factors (RFs) for the implementation of KM in the airport industry based on ISO 30401. This Is Level 2  Drawing on a review of the literature on the ISO standard for KM, the paper provides a conceptualization of the ISO KM standard through some conceptual and mind maps in Airports that systematically combine the KM requirements of ISO.

Knowledge management factors in the airport industry were first identified by utilizing a Meta-synthesis method, classified based on ISO 30401, and embedded them into a conceptual model. The questionnaire was distributed to 384 employees of Iran Airports and Air Navigation Company (IAANC) and the relationship between RFs and the structural validity of the conceptual model of research was examined by the method of confirmatory factor analysis.

The findings showed that the RFs to implement a management system for KM in IAANC include the strategy, organization’s KM culture, structure, governance and leadership; roles and responsibilities; planning, technology, processes, and operation and includes requirements that each representing a dimension of the KMS, which are interdependent: Knowledge development, knowledge conveyance and transformation and KM enablers. This study is the first to provide an integrative perspective of RFs for implementing KMS in airports based on ISO 30401. Such an identification of the RFs of the KMS could well formulate effective strategies for enhancing value-creating and improving the performance of organizations.

The findings of the structural validity of the theoretical construct using confirmatory factor analysis showed that the variables of support, the culture of knowledge management, and leadership have the greatest effect on knowledge management with values close to 0.94, 0.93, and 0.92 respectively. Planning, structure, strategy, operation, and technology and infrastructure with values of 0.88, 0.86, 0.80, 0.74, and 0.68 are respectively in the next priorities.

Public persuasion plays a pivotal role in fostering strong bonds and interactions between government officials and citizens, advocating shared values and objectives, and enhancing the quality of urban life. In light of this, the primary objective of this study is to formulate a model for public persuasion within the context of effective urban governance. In today's rapidly evolving world, characterized by the swift growth and development of cities, the importance of effective urban governance has become more pronounced. Public persuasion emerges as a potent tool within the realm of urban governance, prompting the need to design a comprehensive model for its application.
The research method is qualitative and is of Grounded Theory type hypothesised by Strauss and Corbin. The sampling method is purposeful and of Snowball type. A total of 17 individuals participated in the survey, including 10 general managers of the executive bodies in Khorasan-e- Razavi Province, and 7 university teachers. Data analysis was undertaken through open coding, axial coding and selective coding using MAXQDA platform.
The research findings encompass key causal conditions, a central category, strategies, consequences, contexts, and interveners. The research findings elucidate that specific conditions, notably social capital factors and governance concerns, provide the foundation for public persuasion. Importantly, these conditions significantly impact the selection of strategies, specifically those aligned with effective urban governance, including the use of efficient media and impactful communication. These strategies, in turn, yield tangible outcomes, such as the enhancement of performance in terms of sustainable human development and the improvement of problem-solving capacities. The context for the deployment of these strategies is shaped by supportive and cultural policies. However, it is imperative to acknowledge intervening factors such as environmental barriers and communication obstacles.
It is possible to convey effective and efficient messages to society through public persuasion in the context of urban governance. This approach fosters a better understanding of urban issues, empathy, positive interaction with citizens, and increased citizen participation in public matters. Based on the research findings, it can be concluded that effective public persuasion requires a thorough analysis of goals and target audiences. The intended objectives of persuasion, the overarching goals of urban governance, and societal needs should be carefully examined. Furthermore, the target audience should be thoroughly identified and analyzed to design appropriate persuasive content and tools. The use of credible evidence and statistics can enhance the credibility of public persuasion. Presenting information in an engaging and understandable manner can better inform the audience and encourage them to embrace the desired ideas. Additionally, the use of effectiveness indicators and signs can vividly demonstrate the outcomes and objectives of persuasion, thereby promoting transparency in the persuasion process. In conclusion, the research offers suggestions and solutions for its various components.

The purpose of this study is to design an architectural model of innovation networks based on the benefits of network governance in Iran. In this research, a mixed approach has been used. Because first, by using the exploratory method and reviewing 64 articles in the field of network governance, innovation and network governance, a large number of drivers have been obtained in the form of theme analysis. The statistical population of this study includes experts related to the subject. In order to reach a theoretical consensus, 25 people were selected as a sample through interviews and the required information was collected. Thematic analysis method (theme analysis) was used to analyze qualitative data and extract the factors affecting innovation networks and the factors affecting it. Structural-interpretive modeling has been used to identify the relationships between variables and networks of network innovation and governance. Findings include explaining the pattern of innovation networks focusing on the benefits of network governance and analyzing the results of influence-correlation. Findings show that the level of cooperation of innovation networks is based on the benefit of the advantage of network governance in a high network government, stable and comprehensive. The duration of contracts and relationships of innovation networks increases and is stable based on the benefit of the advantage of network governance. Management capabilities in innovation networks are increasing and comprehensive based on taking advantage of network governance. In the following, 18 dimensions were identified for designing the architectural model of innovation networks based on the benefit of network governance. The research results indicate the effect of network structure and specialization on public-private sector relations and contracts, innovation ecosystem and consequently sustainable economy.

Over the past few decades, the mobile government has attracted a lot of attention around the world. The governments are seeking quality services to citizens to achieve the desired level of satisfaction. Therefore, in order to provide better services, it is necessary to study of the quality of mobile government services and ultimately explain the factors affecting the quality of its services. The present study is a type of qualitative research in terms of purpose, applied, and in terms of data collection.In this study, the method of meta synthesis and the approach of Barrosu and Sandeluski was used to investigate the research literature. Data collection tools are open coding to identify themes and components Drivers of of mobile government service quality. The validity of the analysis was assessed using the kappa coefficient, which was equal to 0.771 In this study, 39codes were identified as basic themes to identify the quality of service quality components. Of these, 21codes were selected as Sub themes and 7were identified and formed as Main themes:Quality orientation, meritocracy, personal privacy, commitment, infrastructural measures, pragmatism, efficient management.

One of the new approaches to human resources development is the organizational coaching model, which can be achieved through the roles of human resources and the organizational position, which is called the development of organizational coaching. Considering the vastness of the literature and the lack of a complete and comprehensive model for organizational coaching in government organizations, the present study was conducted to design a model for the establishment and development of organizational coaching in government organizations based on the data theory of the foundation.

This research is of mixed nature (qualitative-quantitative) and practical in terms of purpose. According to the theoretical saturation of the data, the statistical population of the research includes 13 human resources professors and international ICF coaches with five years of coaching experience. For the reliability of the interview, the within-subject agreement method of two coders was used by calculating the percentage of agreement, and the Delphi method was used to evaluate the validity of the findings and results.

Based on the research findings, 154 primary codes, 32 concepts, and 13 subcategories were extracted, which include the design and development of organizational coaching as a central phenomenon, causal conditions (characteristics and conditions of individuals and organizations), intervening factors (coaching models, characteristics of individuals). , contextual factors (coaching culture, organizational environment and atmosphere), strategies (organizational learning and change, organizational trust and self-awareness) and consequences (organizational and individual development)..

Based on the findings of the research, the proposed model is presented in three stages checking and identifying the requirements, establishment and development of organizational coaching, and this model can be a suitable model for the establishment and development of organizational coaching in Iran's government organizations.

Based on the findings of the research, the proposed model is presented in three stages checking and identifying the requirements, establishment and development of organizational coaching, and this model can be a suitable model for the establishment and development of organizational coaching in Iran's government organizations.

In recent decades, the issue of entrepreneurship has attracted a lot of attention in the public sector, creating a new approach to government management called entrepreneurial government which has been raised to address the chronic problems of administrative and government services. Hence, there is a need to study and identify the drivers that affect this approach. Accordingly, the present study aims to investigate the drivers for developing entrepreneurial government in the country. To this end, after defining the subject and conducting initial exploratory and library studies, the relevant factors and components were considered by experts using the Delphi method and a researcher-made questionnaire. Having revised the factors and their components qualitatively and quantitatively based on related statistical methods, the experts reached a consensus on the balance among the model, its components, and combination of factors. The study sample in this section included 33 academic experts and professionals familiar with the subject who were recruited through non-probability, judgmental sampling. Then, in order to test the designed model, a researcher-made questionnaire was distributed among 335 managers and experts of the selected public sector organizations in Sistan and Balouchestan province who were recruited through random cluster sampling. Finally, PLS 3 was performed to analyze the data. The results showed that three categories of structural, content and contextual drivers are effective on the development of entrepreneurial government in the country, from among which content factors with an impact factor of 43.6 have the greatest impact on the development of entrepreneurial government.

The current research was conducted with the aim of identifying the factors affecting the effective establishment of network governance in the country. This research is descriptive-survey in terms of applied purpose and in terms of data collection method. The study population in this study includes 28 academic experts and professionals familiar with the subject who were unlikely and judiciously selected. After defining the subject and conducting exploratory studies and primary libraries, the relevant factors and components were considered by experts through the Delphi method and by a researcher-made questionnaire. The components and the combination of factors reached their consensus. Then, confirmatory factor analysis of each research variable was performed separately by SmsrtPLS3 software for each variable to determine whether the data are consistent with a certain factor structure. Finally, the results showed that there are three categories of underlying factors (including infrastructures, required resources, conditions and platform of formation and actors involved), content factors (including strategies, internal and external organization preparation, network management, participation and integration and network thinking) and structural factors (including Network characteristics and network shape) are effective in establishing network governance in the country. At the end, some suggestions were presented according to the obtained results.

The aim of this study is to investigate the effect of e-governance on organizational sustainability mediated by good governance in governmental organizations in Kerman city.

Design/Methodology/Approach: 

The present study is an applied research and descriptive-survey research. The data was analyzed using structural equation modeling within LISREL and SPSS software. Data collection tools in this study were standard questionnaires. The validity and reliability of the questionnaire were confirmed using the content validity method and Cronbach's alpha. Also, to ensure the construct validity of the research, divergent validity was evaluated.

Research Findings:

 The findings showed that e-governance and good governance have a positive, significant effect on the organizational sustainability at 95% confidence interval. The findings also indicate the mediating role of good governance in the relationship between e-governance and organizational sustainability. According to the output of LISREL software, e-responsiveness is the most important feature for e-governance in governmental organizations. Furthermore, the Commitment to Resilience and promote values are the most important features that affect organizational sustainability and good governance in governmental organizations.

Limitations & Consequences: 

The neglect of organizational sustainability and ICT in governmental organizations is due to the fact that state-owned companies use government for public services and often do not need to compete with other organizations when providing a similar set of services to the public.

Practical Consequences: 

Importance and necessity of the role of e-governance and good governance that can provide practical strategies to promote organizational sustainability.

Innovation or value of the Article:

 No research has been found to simultaneously examines the effect of e-governance on organizational sustainability with respect to the mediating role of good governance.

The drivers of human capital engagement development are the factors influencing the processes, events, actions, and images that produce distinct results and consequences for the concept of engagement. The purpose of this study was to identify and categorize the drivers of development of human capital commitment and the views of human resource experts about the drivers of human capital commitment. To this end, the Q methodology was employed. First, the related literature and research background were reviewed and then, based on the documents, interviews and questionnaires from 12 experts, the phrase Q (49 phrases) was formed. In the next step, human resources and academic experts were asked to categorize the Q statements on the agreed-upon, opposite, and abstracted axes in the form of a six-choice spectrum of 6+ to -6. Then, based on the inferential statistics (factor analysis) using SPSS software, the data were analyzed and categorized into different mental patterns, and finally, three mental patterns were identified. Based on the results, it can be stated that the Q statements obtained are capable and comprehensive. Therefore, it has an accepted and approved narrative. In this study, re-test was used to confirm the reliability. In this way, at least 20% of the sample subjects, that is, three people (12 experts in total) were tested twice, and the correlation coefficient obtained was 82% (0.82), which indicates a high level of reliability. The mentalities obtained based on the order of importance are: first pattern: leadership and personal and identity development; third pattern: structural, process and procedural; and second pattern: management and organizational resources.