نشریه آینده پژوهی مدیریت
سال سی و یکم شماره 2 (پیاپی 121، تابستان 1399)

The purpose of this research is to investigate the role of strategic leadership on strategic innovation with the role of entrepreneurial alertness moderation in manufacturing companies in Ilam province. The research method is descriptive-analytic, which is applied in terms of its nature and in terms of its implementation method, is a survey. The statistical population of the study consisted of 1900 employees of the manufacturing companies of the province, of which 320 random samples were selected from the Cochran formula. The data gathering tool was a questionnaire. To analyze the data, descriptive statistics (mean, frequency, cumulative percent) and inferential statistics (Kolmogorov-Smirnov test, Pearson correlation coefficient test and regression analysis, Watson's camera test, and...) was done with the Spss software. The results of Pearson correlation test at 99% confidence level showed that there was a positive and significant relationship between strategic leadership on strategic innovation and the role of moderating entrepreneurial alertness among sample employees. The results show that all six dimensions of strategic leadership (perspective on the future, organizational structure and process, human capital, ethical values, competence and organizational culture) had a positive and significant effect on strategic innovation with the role of moderating entrepreneurial vigilance. And have been approved.

Today, among the various approaches proposed in the field of urban management, good urban governance is one of the most famous and most effective approaches

The purpose of the study was to identify and evaluate the most significant variables and principal determinants affecting the future of urban governance up to the 2031 horizon for the Tehran metropolis. It was also looking for the most likely scenarios in the field of urban governance in the 2032 horizon for the Tehran metropolis. Research

The present study used structural analysis and cross-effect analysis to look to analyze the data. The data and information required for the research were a combination of quantitative and qualitative data, which were gathered through documentary research and survey method (questionnaire) and interview with experts in a Delphi model. For data analysis, MICMAC software was used to analyze the interactions of variables and Morphol software to compile scenarios.

Finally, out of a total of 100,000 output scenarios, 5000 scenarios were identified as valid and, given the impossibility of analyzing this number, 10 scenarios with high inertia were selected, and among these 10 scenarios, 4 scenarios with the highest inertia and repeat rates of over 90% were analyzed in subsequent scenarios.

The results showed that there was no any ideal scenario among the scenarios and the only favorable scenario was the response variable that has been repeated in all four scenarios, which indicated the weakness of Tehran's metropolitan management structure in realizing good urban governance.

the structure of organization of states is shaped by the purposes, necessities, needs and necessities of every era. With this aim, the main purpose of this research is to present a model of the challenges of fitting the structure of the government in implementing a comprehensive reform of the administrative system. This research in terms of collecting data is a descriptive-survey research,, and in terms of research purposes is an applied research. The statistical population of the research has been scientific and executive experts in the academic environment and governmental organizations. A researcher-made questionnaire was used to collect data, and to analysis the data multi-criteria decision-making approaches (MCDM) was used. In this research, by examining the literature of research and interviewing with experts, 66 indicators were identified and extracted. After judging the experts, using Fuzzy Delphi test, 29 indicators were approved and organized in 5 main components. The results of the Dematel test (studying the effectiveness and impact of variables) showed that the variables of privatization, decentralization and proportionalization, effectiveness variables, and the state structure and bureaucracy are impact variables. Interpretative structural modeling analysis also showed that variables were classified in two levels. At the highest level, the component of bureaucracy and at the lowest level are the components of government structure, adjustment, privatization and decentralization.

One of the new and emerging concepts in the Branding Industry is the Comprehensive Brand Development, which plays an important role in increasing market share, number of customers, and making a distinct distinction.

The purpose of this study was to predict universal branding in organizations organizing non-academic educational events based on qualitative and quantitative approach.

In order to achieve the research goal, the mixed method was used. The two sections were qualitative and quantitative. In the qualitative section, interviews with experts in the education and branding industry were used. The coding method was used to analyze the information obtained from the interview. Inclusive branding model includes individual factors (individual competencies, human relationships, self-confidence, continuous effort and individual attractiveness), organizational factors (corporate credibility, corporate social responsibility, organizational identity, organizational image and organizational brand value), management factors (manager's attitude) Branding, managerial competence, branding planning, branding process monitoring, and environmental factors (advertising, financial reasons, and social environment).

The Delphi method was used to confirm or reject the components of the qualitative stage which confirmed the results of the interview with the experts of the extracted factors in the qualitative section. Then, structural equation modeling was used to test the model. 407 managers, assistants, and experts from companies and non-academic non-university training institutes participated in the study.

The results showed that individual factors, organizational factors, management factors and environmental factors predict pervasive branding.

It is a fact that companies need the scientific and technological achievements of different universities, but the commercialization of university research cannot be successful, given the many academic research proposed by universities for Meet the real needs of companies as well as markets.

The purpose of this study was to identify the components of commercialization of knowledge in order to provide a model for higher education in the country.

The research method was a sequential exploratory combination. In the qualitative section of the study, the subject analysis of inductive loading was used. The inferential statistics of the confirmatory factor analysis were used. Regarding the Chi-square fitting, comparative fit, adaptive fit, and Holder model, the fit was appropriate.

In this research, three main themes of wealthy culture, university of wealth and observatory were identified, in which the rich content of rich culture included two themes of support and selection. The comprehensive content of the wealthy university consists of two organizing themes Business thinking and orbital quality, and the overwhelming content of the observation site needed to include two themes of equalization of interests and positioning.

According to the main themes extracted, it can be said that the development of the university in order to provide the facilities and training of the staff, taking into account the needs of society and the market and the three-way communication between the university, government and industry, are key factors in the creation of knowledge commercialization In higher education

Today, poverty is considered from the most important problems in a country. This study dynamically models the poverty and deprivation alleviation in community livelihoods, with emphasis on armed forces retirees. The modeling of this study was performed using system dynamics, which is a computer simulation modeling technique. In this study, firstly, effective and impressive factors on poverty were identified and then analyzed by combining retirement empowerment policies. The results of the study on performing political scenarios and retiring decisions, such as the adoption of support services decisions, self-employment facilities, interest-free loans, sport services, consuming and educational services, show that the behaviors of the model variables tend to be in the direction of alleviating deprivation and poverty in society. In this regard, correct decision-making for retirees will improve empowerment, promote research and development, reduce demand for merchandise, increase entrepreneurship, improve wages and income, and further, reduce poverty. All analyzes are performed by Vensim software, which is the most comprehensive simulation software to improve the performance of actual systems.

Selecting suitable suppliers and assigning orders to them, is one of the most important strategic supply chain management activities. In this research, a mathematical model for choosing the supplier in the supply chain in the framework of the operational research methods in dairy production units in the city of maku was proposed. The model was designed as Linear programming with assumptions such as supplying a variety of milk products with the same requirements, such as quality, timely delivery, obligations and envirmental require mental for all suppliers. This model includes parameters such as milk purchase cost, transportation cost, milk purchase, milk suppliers, production capacity, and minimum required milk. The objectives of this research include minimizing the cost of supplying milk, supplying the minimum required milk and selecting suitable suppliers of milk. the research method, mathematical descriptive, is applied in terms of purpose, Information gathering tools, such as documentation tools, interviews with experts and production managers were used in relation to production, to determine the sample size were selected by cluster sampling method and random sampling method. Due to complexity of the problem solving, the meta-heuristic bee algorithm approach using MATLAB software was solved. The results obtained from the findings showed that with the bee algorithm, the suitable supplier of milk was selected in the supply chain, so that the cost of milk supply minimized and the minimum material required was estimated by the suppliers. It is Conclude that the suggested bee algorithm is an acceptable performance in a suitable time period.

In order to have an effective and efficient management system, powerful and courageous managers must be trained. The main purpose of this study is to design a model of managerial courage in governmental organizations that has been done qualitatively using the data-driven approach. The statistical population of this research is the managers of governmental organizations in Kurdistan province. In-depth and semi-structured interviews were used to collect data and the data were analyzed by Strauss and Corbin method. The theoretical sampling method was purposeful and snowball technique, based on which interviews were conducted with managers of government organizations. Data were obtained after 11 interviews, duplication and theoretical saturation, but 15 interviews were conducted. The results of the data obtained from the interviews during the open, pivotal and selective coding process resulted in the creation of 140 codes, 8 concepts, 3 main categories and the formation of a foundation data theory in the field of modeling managerial courage in governmental organizations. Findings were compiled in three axes of managerial courage dimensions, effective factors on creating managerial courage and consequences of managerial courage in organizations based on data obtained from managers' opinions.

The present study has been carried out in view of the rapid growth of banking activities in the business environment of the country and contributed to the further development of these activities in the banking industry. The ultimate goal of the research is to provide a model for entrepreneurial banking according to our banking system so that it can cover the growing needs of banking. The sampling used in this article was theoretical sampling. After conducting interviews and collecting information, the codes obtained in different sections are analyzed and after the triple stages of open source coding, the axis and the choice of the final model are obtained by the researchers of this paper. The final version of the issue axial scientific terms, conditions meddler, strategies and finally, consequences and results of entrepreneurial banking is formed. Each of these conditions and the factors that make up the model has variables and categories that make them realize the general goals of entrepreneurial banking.

Environmental monitoring and sustainability improvement while maintaining productivity and profitability are accepted as strategic objectives in in current business. Therefore, it is necessary to implement management practices that not only improve the performance and efficiency of the supply chain. But also focus on economic, environmental and social dimensions.

The purpose of this paper is to provide an integrated approach to the lean, agile, resilient and green supply chain management in automotive industry in Iran to achieve sustainability.

This paper aimed to present a new LARG strategy by reviewing the studies on lean, agile, resilient, green supply chain management. This paper is presented an analytical-hybrid model based on fuzzy DEMATEL and fuzzy analytic network process for integrating of LARG supply chain management practices in the supply chain in automotive industry in Iran. Using the fuzzy DEMATEL, the relationships between the criteria and the sub-criteria were identified and then the weights were calculated by the fuzzy analytic network process and their significance was determined.

The integrated LARG supply chain management approach includes: Strategic stock (resilient), just in time (lean), Supplier relationships (lean), Total Quality Management(lean), Ability to Change delivery times of Suppliers order (Agile), lead Time reduction (resilient), Flexible Transportation (resilient), and to Reduce Energy Consumption (Green).

according to the findings, LARG integrated strategy for achieving sustainability in the supply chain is proposed. Moving towards sustainability through implementing LARG supply chain practices is a key strategy in automotive industry in Iran.

The main goal of the research is to Create innovation ecosystem with the systemic dynamics approach in the Tabriz. Data collection tools are research literature and semi-structured interviews. The statistical population of the study includes researchers from Tabriz University of Medical Sciences, managers of knowledge-based companies and health policy makers. Eighteen members of the statistical population were selected by targeted snowball sampling. According to this methodology, first to explain the problem and identify the boundary of the model, the key variables and the trend of these variables were studied over time. Then, the structure of the problem was identified in the form of causal-loop diagrams and accumulation stock and flow map. After testing the model in the fourth stage, four scenarios for improving the innovation ecosystem in the fifth stage were evaluated. Analysis of the scenarios showed that improving government rules, reducing bureaucracy, and increasing the percentage of profits that industry should devote to research and development have the greatest impact on the dissemination of health innovation. Improving international relations came in second, and the scenario of material and immaterial incentives came in fourth