mohammad ataei

Creating a safe environment is of utmost importance in any project. One crucial aspect of ensuring safety is addressing potential hazards. In the context of road construction projects involving hard rock, one significant risk is flyrock. Flyrock refers to the occurrence of fragments being propelled outside the blast area with high energy and speed during blasting operations. These flying rock fragments have the potential to cause severe and irreversible injuries to both people and equipment. The objective of this research is to identify and assess the risks associated with flyrock in road construction projects involving hard rock. To accomplish this, a collaborative approach was adopted, involving experts, analysis of scientific records, as well as observations and inspections. A thorough examination revealed a total of 54 flyrock events, which were prioritized for further analysis. To quantify the probability of flyrock occurrence, a fuzzy fault tree analysis was employed. This analysis method takes into account various factors and uncertainties to yield a calculated value of 0.4907, indicating the likelihood of flyrock incidents. Additionally, the intensity of flyrock consequences was determined to be 0.2248 using the fuzzy Delphi analytical hierarchical process. These assessments collectively indicate the potential severity of flyrock incidents. Based on the evaluations conducted, the resulting risk number associated with flyrock reached an undesirable level of 12. It highlights the imperative need to recognize and evaluate the risks posed by flyrock during road construction projects. By doing so, appropriate measures can be implemented to mitigate the occurrence of flyrock and minimize potential harm to individuals and equipment. Recognizing and understanding the risks associated with flyrock is a crucial step towards improving safety in road construction projects involving hard rock. Through the insights gained from this research, proactive measures can be taken to prevent flyrock incidents and ensure a safe working environment for all involved.

In this study, the tourism industry is more than just an industry, it is similar to the phenomenon of global and social dynamics, which has its own complexities. In the next few years, the tourism industry will be at the top of the world's existing industries in terms of income, and it will be the largest part of international trade. And the tourism industry affects all the different economic, political, cultural, social, and environmental aspects. In order to analyze the data, pre-processing of the data, including the calculation of descriptive statistics, has been used. Inferential statistics in this research are from the structural equation model Used. For the quantitative part of the research, the statistical community has identified 384 tourists and presented their demographic characteristics. The results of the present study showed that sports-recreational tourism services had the highest correlation index between constructs (Q^2) (0.416). And the digitalization of tourism services had no effect on the index of predictive communication between structures (0.0). Also, the results of the relationship between the strategic planning of tourism services and the quality of perceived intangible factors had the highest effect size (0.706) and the relationship between the characteristics of tourists and sports-recreational tourism services showed the lowest effect size (0.025).

One of the most critical designs in open-pit mining is the ultimate pit limit (UPL). The UPL is frequently computed initially through profit-maximizing algorithms like the Lerchs-Grossman (LG). Then, in order to optimize net present value (NPV), production planning is executed for the blocks that fall within the designated pit limit. This paper presents a mathematical model of the UPL with NPV maximization, enabling simultaneous determination of the UPL and long-term production planning. Model behavior is nonlinear. Thus, in order to achieve model linearization, the model has been partitioned into two linear sub-problems. The procedure facilitates the model solution and the strategy by decreasing the number of decision variables. Naturally, the model is NP-Hard. As a result, in order to address the issue, the Dynamic Pit Tracker (DPT) heuristic algorithm was devised, accepting economic block models as input. A comparison is made between the economic values and positional weights of blocks throughout the steps in order to identify the most appropriate block. The outcomes of the mathematical model, LG, and Latorre-Golosinski (LAGO) algorithms were assessed in relation to the DPT on a two-dimensional block model. Comparative analysis revealed that the UPLs generated by these algorithms are consistent in this instance. Utilizing the new algorithm to determine UPL for a 3D block model revealed that the final pit profit matched LG UPL by 97.95%.

Ensuring the stability of the working face in longwall coal extraction is a crucial factor in the economic viability of this method. Numerous parameters influence working face stability, necessitating a comprehensive understanding of their impact on safe and economical mining. This study investigates the stability of a mining face in the actual extraction area, focusing on the E3 Panel of the Tabas Parvade coal mine. A numerical model is employed to examine the effects of mining and layer displacement on working face stability.Initially, the influential parameters for working face stability are categorized and analyzed. Subsequently, using FLAC3D software, the stability of the E3 Panel working face in the Tabas Parvade coal mine is simulated and evaluated. Sakurai criteria are applied to assess wall and working face stability by calculating shear strain values in these areas.The simulation explores the impact of initial and periodic wall weighting effects on the stability of the extraction face during coal extraction. Initial and periodic collapses are predicted to occur at approximately 11.5 and 2.5 meters, respectively, with the initial roof collapse following the extraction of the fourth coal seam. Results from numerical modeling indicate a likelihood of instability within 6 to 10 meters after progressing in the working face, coinciding with initial and periodic roof collapses.In summary, the working face in the E3 Panel of the Tabas Parvade coal mine is described as transitioning between slippage and stability, with the upper roof prone to sloughing after extracting six coal seams. Pressure on the mine openings is notably higher on the Tailgate side, and there's a risk of the working face collapsing near the main cutters during the coal extraction process. Cuttable Rock Bolts are recommended to prevent roof and face falls.

Letters of credit are commonly used in business transactions to ensure payments, especially, when the parties reside in different locations. While the determination of the law governing the letter of credit is very important for the parties, in many cases, it is ignored by the parties, and it is not mentioned in their contract. The silence of the parties leaves the duty for the courts to determine what law should govern the letter of credit agreement. This article examines and evaluates each of the contractual relationships between the parties of the letter of credit, and the law governing each legal relationship is examined independently and separately so that due to the independence of the legal relationships of the multiple parties of the letter of credit, the law governing each One of the contractual obligations should be determined precisely.In this regard, after reviewing relevant international regulations, including the Rome I Regulation and the Uniform American Trade Act, Iran's legal position is examined. The main question of the article is which law governs the contractual relations of the letter of credit parties? In line with the procedures and developments governing international trade law and international contracts , it is suggested that Iran's legislator, in line with the laws of other countries , move towards accepting the principle of the sovereignty of the will, and Article 968 of the Civil Code, which is currently is not in line with the requirements of trade law,  The international and broad global trends regarding the acceptance of the principle of the rule of will should be adjusted in line with Article 27 of the International Commercial Arbitration Act and to move in the direction of influencing the will of the parties and the effectiveness of international contracts. This article concludes that in the absence of uniform provisions of letters of credit as the governing rules of letters of credit and if the credit does not have a choice of governing law, the governing law is the legal system that has the closest and most real relationship with the credit. In the relationship between The law of the applicant and the credit opening bank , the closest connection is to the law of the country where the credit opening bank is located. In the case of the beneficiary and the notifying bank, the closest connection is to the law of the country where the notifying bank operates.

In the realm of deep coal mining, a notable difficulty faced is the occurrence of methane gas and abrupt emissions of coal gas. This study scrutinizes coal gas outbursts via laboratory investigations. The study investigates the dynamics of coal gas outbursts, focusing on the analysis and mitigation of abrupt coal gas releases via laboratory experiments. Results suggest that the prevention of coal gas outbursts in the test sample is achievable by a 20% pressure reduction using degassing techniques.Drawing from engineering observations during the mining process, this study investigates the mechanism of coal gas outbursts using a specifically constructed test device. This study reveals that a gas outburst occurs when the boundaries of coal seams become unstable due to coal failure. In cases where fractures are not connected or are closed due to coal/rock stress, the fractured zones can maintain a certain level of carrying capacity due to self-sealing gas pressure. However, once the accumulated gas energy reaches a critical point, the coal seams become unstable, leading to gas outbursts. This study presents a laboratory analysis of coal gas outbursts, methane drainage, and methods for managing these events. Findings indicate that the outburst of coal gas can be effectively managed by lowering the tank pressure through gas drainage techniques.

The phenomenon of coal gas outbursts, with its direct influence on preserving the safety of mining through tension alleviation and sustaining operational continuity, as well as the reliance on its quality for various concerns, warrants scrutiny during the planning phase. Consequently, accurately forecasting these sudden gas expulsions is a critical and primary measure in the initial design stage, continuing through the mining and extraction processes. Although the subject has been extensively researched, a complete model is lacking to predict the interrelated impacts of methane gasification and outbursts. Hence, considering its national significance and widespread adoption of this technique globally, it is imperative to investigate the dynamics of sudden gas discharge and drainage. For numerous years, across various research disciplines, experiments utilizing physical models have been conducted to explore and comprehend systems' behaviors and physical properties. A fundamental aspect of these models is the requirement that both the modeled system and the primary model abide by the same physical principles. In the study detailed within this document, following the recognition of critical parameters in the outburst process, a novel apparatus was constructed through dimensional analysis. Utilizing this specially designed laboratory equipment, the outburst emissions were assessed on two coal samples.

Euler-Lagrange systems include a wide class of dynamic systems such as electrical, mechanical and robotic systems. In this paper, a disturbance observer-based control methodology is developed for a multi-agent network including several agents with Euler-Lagrange motion dynamics. The control objective is to reach the same position by all agents in both leader-less or leader-follower situations. The proposed control scheme estimates the disturbance term due to the dynamic uncertainties, and the estimated value is utilized in the control law as a feedforward term. In contrast to the existing adaptive control methodologies for handling uncertainties, the proposed scheme guarantees satisfactory performance in the presence of uncertainty without the need for a dynamic structure of the system. Stability analysis of the proposed scheme is done using the Lyapunov theory. The effectiveness of the proposed method is validated by simulation studies for regulation and tracking objectives in leader-follower cases and consensus objectives in leaderless scenarios.

Investigating forest structure is an important and necessary topic, especially in line with the goals of close-to-nature silviculture. This research aimed to quantitatively analyze the complexity of stand structure during the transformational phase of understory formation in the oriental beech (Fagus orientalis Lipsky) forests of Kheyrud, Nowshahr. After field inspections, three one-hectare sample plots in the transformational phase of understory formation were selected, and a full inventory of all stand parameters, including tree diameter at breast height, natural regeneration, size and distribution of gaps, and deadwood, was carried out. To analyze the structural complexity in forest stands, the structure complexity indices, Cox coefficient, coefficient of variation, and Gini coefficient of tree diameter were used. According to the research results, in this evolutionary phase, the highest frequency is in small diameter classes, while the lowest frequency is in large trees. The distribution curve of trees forms a decreasing exponential with a steep slope in small diameter classes. The average deadwood volume was 30 m³, and the average gap factor of crown coverage was 6.4%. Additionally, the mean Gini coefficient and diameter change coefficient were 0.7 and 6, respectively. These values, along with the Cox coefficient, indicate optimal complexity in the stand structure during this phase. In the understory, the average abundance was 306 stems per hectare, with beech being the most abundant species. Based on these results, to maintain heterogeneity in the managed forests while preserving large trees in the stand, it is suggested to implement operations to increase the complexity of the forest stand structure and perform thinning from below.

The governance system has both the ability to grow and develop, and it can cause malfunctions, delays and disruptions in the development process. This means that the challenges of governance are capable of diverting each of the four sectors of the country's policymaking and putting the lofty goals out of reach. Policy-making is the basic function of the government and the process of intervention in order to achieve results and realize its political vision. Studying in the policy space seeks to describe and explain the policies of governments and how to influence and create changes in the way of governance and of course the body of the government. Therefore, it is necessary to explain or investigate what and why these challenges are in the policy environment. The purpose of this article, in a scientific review study, is to give a glimpse of the issues raised from the perspective of thinkers and experts of governance think tanks, as well as examine new challenges and provide solutions to change the governance of the headquarters or centralized to governance. It is provincial and decentralized. Also, this study aims to take a brief look at the state of excellence and empowerment of local governance in the northwestern provinces of the country (East Azarbaijan, West Azarbaijan, Qazvin, Zanjan and Ardabil).

The mining industry operates in a complex and dynamic environment and faces many challenges that can negatively affect sustainable development goals. To avoid these effects, mining needs to adopt strategic decisions. Therefore, it requires effective decision-making processes for resource optimization, operational efficiency, and sustainability. Multicriteria decision-making methods (MCDM) have been considered valuable decision-support tools in the mining industry. This article comprehensively examines MCDM methods and their applications in the mining industry. This article discusses the basic principles and concepts of MCDM methods, including the ability to prioritize and weigh conflicting, multiple criteria and support decision-makers in evaluating diverse options. According to the results, 1579 MCDM articles in mining have been published from the beginning to April 15, 2023, and a scientometric analysis was done on these articles. In another part of this article, 19 MCDM methods, among the most important MCDM methods in this field, have been examined. The process of doing work in 17 cases of the reviewed methods is presented visually. Overall, this paper is a valuable resource for researchers, mining industry professionals, policymakers, and decision-makers that can lead to a deeper understanding of the application of MCDM methods in mining. By facilitating informed decision-making processes, MCDM methods can potentially increase operational efficiency, resource optimization, and sustainable development in various mining sectors, ultimately contributing to mining projects' long-term success and sustainability.

In all mining communities, mining is one of the major economic activities affecting the gross domestic product (GDP). Energy supply plays a vital role in numerous industries, including mining, transportation, construction, and industries. With the increase in the world population, the demand for minerals is growing, and this increase in demand causes an increase in energy consumption in the activities of exploration, extraction, exploitation, processing, smelting, and refining of minerals. One of the challenges of mining today is that many mines are located in remote areas and far from urban areas, which has increased the dependence of mining on fossil energy. However, using renewable energies such as solar and wind energy in mining activities is possible, which can help reduce this dependence and provide sustainable energy in this industry. This article examines renewable energy's challenges, opportunities, and effects on sustainable development indicators in mining activities. It has also provided a strategic management plan for using renewable energy in mining using the SWOT method. The results showed that despite the many opportunities that these technologies create in mining, there is a need for more studies to introduce and implement them. Also, the results showed that the use of renewable energy in mining has a positive effect on sustainable development indicators. Therefore, an aggressive strategy (maximizing the strengths to take maximum advantage of the created opportunities) is proposed as a solution that can help achieve sustainable development goals in the mining industry. In general, using renewable energy in mining not only helps mines diversify their energy sources but also helps increase efficiency and reduce negative effects on the environment. This technology benefits the economy and society and can help achieve sustainable development in the mining industry

Due to longwall mining, a large space without any support is created, and the in-situ stress regimes change. The change of the in-situ stress regimes affects the roof and face of the adjacent panel. In other words, the strata behavior would be different from the intact condition during the previous panel mining. In this study, two adjacent panels are simulated in the FLAC3D software to study the effect of panel extraction on its adjacent panel strata behavior during longwall mining. The available data of the Tabas Parvadeh Coal Mine panels is used for this purpose. According to the numerical modeling results, the length of the first roof’s weighting effect (FRWE) in the gob of the first and second panels is calculated, respectively, as 26 and 21 meters. In other words, the gob dimension in the second panel is reduced by about 19.2%, and the vertical displacement value is increased by about 18.5%. In addition, the chance of roof collapse and face spalling during the first-panel mining is more than the second-panel. It means that roof and face instability in the (FRWE) during the first-panel mining is confirmed, while in the second-panel extraction is just very likely.

The stability of waste dumps is a significant and at times critical issue in the development of surface mines. Due to insufficient space for waste disposal, environmental concerns, and various other factors, Mine No. 4 at Golgohar Sirjan is not capable of establishing a new waste dump. Given the existing limitations of the mine, the investigation has focused on increasing the dump capacity through the implementation of benches. In this research work, the stability of the waste dump has been investigated using the limit equilibrium method with the Slide3D software, along with a Monte Carlo simulation approach for probabilistic analysis. The results obtained from these methods have been compared with each other. The acceptable safety factor considered for this assessment ranges from 1.15 to 1.2. By adding benches to the eastern waste dump of the mine, a displaced volume equivalent to 36,715.565 cubic meters has been added to the capacity. The constructed model is based on the topography of the area, with dimensions of 1850 meters in length, 1750 meters in width, and 160 meters in height. The results indicate that the safety factor of the waste dump has been calculated as follows using the Spencer, Janbu, and Bishop methods respectively: 1.26, 1.199, and 1.226. Mine No. 4 needs to extract 983.58 million tons of waste to produce 73 million tons of iron ore. In total, by discharging 428 million tons of waste in the northeastern and eastern dumps and adding a bench, a volume of 555.571 million tons of waste is available for disposing of the remaining waste. Considering the remaining waste volume, space must be allocated for waste disposal to Mine No. 4.

Nowadays, using telecommunication systems and advanced measuring devices underlies cyberattacks on electrical grids. Bad data injection and failure to detect it on time, cause drastic damage to the network. This paper presents a new method for bad data detection (BDD) in state estimating when a cyber attacker manipulates the important measurements. Therefore, the new attack index is defined by simultaneously manipulating the network parameters and injecting incorrect data into the measured values. For this purpose, considering the masking and swamping effect, the diagnostic robust generalized potential (DRGP) algorithm detected and isolated high-leverage measurements installed in important locations from low-leverage measurements. Then, the state estimation process performs using low-leverage measurements. The Generalized Studentized Residual (GSR) algorithm detects bad data. With simultaneous manipulation of network parameters and measurement values, conventional BDD methods are unable to detect an attack. To evaluate the performance of the proposed method, they were implemented on the IEEE standard 14-bus network using MATLAB and Rstudio software. The simulation results show the ability of the proposed algorithm to detect a bad data attack.

Mining design is a key part of the mining life cycle and the integration of sustainable development (SD) considerations makes the project a profitable activity with the least adverse social and environmental impacts. Applying sustainability considerations in the very late stages of project development and focusing on impact mitigation and control measures has been one of the most important reasons for not integrating the principles of SD in the feasibility and design stages of projects. In this study, the attributes of the three principles of SD discussed in various studies were collected and a logical approach was adopted to identify the social and environmental attributes effective in the design, optimization, and selection of the ultimate pit limit (UPL). Then, political-security problems, creation of employment, pollution of underground/surface waters, acidic depositions, materials existed in the tailings dam, soil physical specifications, the recycle/removal of waste, restore habitat post-mining, tailing dams and waste dumps and respect of sensitive areas was selected for quantification and integration in the sustainable design of the Songun copper mine as a case study.

One of the criterions for evaluating the cutting of building stone using the diamond wire cutting system is the energy consumption of the cutting wire machine. In this study, in order to evaluate the amount of energy consumed in the cutting process, a laboratory diamond cutting wire system was designed and built with the ability to change and stabilize the operational and tooling parameters of cutting, including linear velocity, backward pulling speed and angle of impact of diamond wire. In order to determine the relationship between the physical and mechanical properties of the stone with the energy consumption of the cutting machine, 6 different samples of travertine were prepared from the mines of East and West Azerbaijan, Isfahan, Yazd and Markazi provinces and The values of physical and mechanical properties including density, porosity, water absorption, uniaxial compressive strength, tensile strength and the speed of ultrasonic waves passed through them were measured in the laboratory. Then, by cutting cubic blocks of the samples with the laboratory diamond cutting wire system, the energy consumption of the device in different situations of the angle of the wire with the sample was recorded. Using regression and univariate fitting, the relationship between each of the rock properties and the specific cutting energy with respect to linear, logarithmic, power and exponential functions was investigated. The results showed that the best value for the angle at which the wire hits the specimen, at which the lowest specific energy consumption is recorded, was 15 degrees.

To increase production in coal mining panels along with the use of other equipment, the use of coal machines (shearers) is very beneficial. Predicting the shearer rate and determining the effective parameters in it plays an essential role in estimating costs. Full knowledge of the Strength and properties of coal gas and evaluation of the performance of shearer loader devices causes an increase in the speed of the loader and coal-rock production. Therefore, to achieve high production efficiency in the extraction of coal seams, it is necessary to predict the shearer rate and determine the effective parameters in it. In this paper, the shear rate prediction in relation to the Strength and gas bitumen properties of coal is investigated with the help of statistical analysis.For this purpose, 1260 types of coal cutting were done by coal machine (shearer) in E3 Tabas extraction panel No. 1 of Parvadeh coal mine. In the first stage, after harvesting and recording the shearer rate of each cut, information about degassing was done at three points along the entire length of the panel. These three points include the percentage of methane gases emitted in sensor number 88 and the input sensor (TG) and the sensor installed on the armored face conveyor (AFC). Then, using the strength properties such as coal hardness and methane degassing system, the shearer rate prediction was investigated. Using statistical studies, Shearer rate prediction was performed with three models of linear and nonlinear multivariate regression (exponential and logarithmic). To develop the predicted models, 70% of the data (882 data) were used as educational data and 30% of the data (378 data) as test data. Among the three regression models performed, the results show that the linear multivariate regression model has a more accurate prediction than the other two methods. Therefore, using the linear multivariate regression model, the amount of shearer rate in the coal mine number one of parvadeh Tabas can be predicted with good accuracy.

In today's world, relying on traditional knowledge is not possible to manage modern and new organizations and requires continuous training to strengthen and transfer knowledge in the organization. The purpose of this study is to provide strengthening solutions for the teaching organization model in universities. That is why it has tried to strengthen the model of the teaching university by using the views of the Teaching Organization. The teaching organization is a reinforced model of the learning organization. Therefore, in this study, a semi -structural interview was conducted using library studies on the various models of the reminder and learning organization with 19 academic experts selected by targeted judicial sampling. Among the participants in the interview are about 37 percent females and 63 percent males.  According to interviews conducted in the reminder organization, 836 significant propositions and five categories: a teaching perspective, ideas, values, decision -making and emotional energy were extracted, the results of the analysis of the interviews indicate the positive effects of the reminder components in universities and the greatest positive impact. The respectively of values, emotional energy, a teaching perspective, ideas, and decision -making in decision -making, the greatest influence on values and the least impact on the component of decision –making.

Extraction and exploitation is one of the important parts in the field of mines and mining industries. Blast hole drilling is the first stage of the production cycle in open pit mines. Which account for a large part of the exploitation costs. In operational processes, bits are one of the most sensitive and important parts of drilling, due to the type of application and high costs. Wear of these tools are an important parameter for estimating the efficiency of drilling equipment in mining projects. Wear of drilling bits is a function of various factors, some of which are related to machinery, operational parameters and management parameters, and some are dependent on the conditions and rock properties and rock mass and the surrounding environment. Examining the parameters affecting the tricone rotary bits wear can prevent wasting time and additional costs of the drilling process. Therefore, in this study, the evaluation of the factors affecting the tricone rotary bits wear in Sarcheshmeh copper mine has been investigated. For this purpose, the tricone rotary bits wear has been calculated through weight loss and by determining the effective parameters, the relationship between these factors and the tricone rotary bits wear has been determined through statistical methods. Then, using sensitivity analysis, the effect of input parameters on the target is determined. The results of these analyzes show that all the parameters of the study except the Chemical Index of Alteration (CIA), porosity and Equivalent Quartz Content on the desired output (the tricone rotary bits wear).

The Remaining Useful Life (RUL) valuation of mining machinery is a principal to ensure the production/output and customer satisfaction in the mining zone. In many cases, it may be of attention to know the expected value of the remaining life of the item before it fails from an arbitrary time that known RUL. The system's failure is also evaluated with the reliability index, which describes up-times. An individual unit's reliability during field use is essential in many mining equipment applications. This index, especially in industrial systems, and being affected by the internal condition also affects operating environmental conditions. For example, the loader performance in cold weather will be different from that of warm, which will affect the machine's reliability and thus the RUL. In reliability engineering, operating environmental conditions are considered "Risk factors or Covariates". Therefore, in this paper, an approach is proposed first to analyze the system's reliability considering covariates' effect and then estimate the RUL for different scenarios. The proportional hazard model was used in reliability analysis to be realistic and take the operational influencing factors in calculation. Methods are presented for calculating the reliability function and computing the RUL as a function of the current conditions to guarantee the desired output. The remaining useful life estimation of a Komatsu PC-1250 from the Sungun copper mine was evaluated as a case study of this approach. Systems operating environmental factors such as shift, dump-truck kind, rock kind, … (known as covariates) are assumed to influence covariate in this context. As a result, the Weibull proportional hazard model was fitted to describe the failure behavior, and the RUL of four selected scenarios was evaluated. Presented results can be used, e.g., for developing operational performance, planning of maintenance activities, spare parts provision, and the profitability of the owner of an asset.

The present study aimed at presenting the elements and characteristics of human resources’ supply and recruitment at fourth generation universities, through a mixed method and the meta-synthesis approach. The qualitative part included all related scientific works (212 retrieved works). Adopting Sandelowski and Barroso’s (2007) method, the initial screening availed 52 works, and after the second screening based on CASP, 39 documents were finally entered into meta-synthesis coding. The conceptual modeling and opinion polling stages included 12 experts and managers in the field of human resource management. Main categories’ reliability was 0.64 based on Kappa formula. The relative content validity coefficients for the categories of recruitment based on value creation for internal capacities, value increase for external talents, and cyberspace of recruitment were 1, 1, and 0.66, respectively; all greater than the minimum value (0.79). In the quantitative process that was based on descriptive and documentary methods, the analytical model of the study was proposed using the opinions of experts and evaluation of CVI-CVR. The findings confirmed the study model with 3 sub-categories, 9 concepts, and 76 codes. Finally, we maintain that the recruitment function at fourth generation universities of Iran, in accordance with the indicators of the proposed model, should be one of the priorities of the application of recruitment in the human resource management process at claimed fourth generation universities our country.

The competence of managers, especially at senior levels, is the basis for the success of companies and the development of the country. Corporate governance as a set of principles, requirements and processes for monitoring and governing the company has been notified to the governmental companies by the relevant authorities and its executors are senior managers (members of the board of directors); Therefore, designing the competency model of senior managers according to their role in the optimal implementation of corporate governance is the goal of this research.

This research is developmental in terms of purpose and mixed (qualitative-quantitative) in terms of data type and method of analysis. In the qualitative section, by studying the background and theoretical foundations, the dimensions of competence and the components of corporate governance were identified. Eleven members of the board of directors of governmental companies in various fields of production, services and investment, and selected academic experts were interviewed, and by content analysis method, the themes were identified at three levels: basic, organizer, and comprehensive. In the quantitative part, structural-interpretive modeling, leveling and determining the relationships of the components and dimensions of the model were performed.

The findings of the qualitative section were obtained by combining theoretical studies and content analysis of interviews, 55 basic themes (index), eleven organizer themes (component) and three comprehensive themes (dimension). The dimensions of the model include knowledge, skills and character. 

Based on the results of quantitative analysis of the research, the main components of the competency model are classified into four levels. Dimensions of character (including moral virtues, personal characteristics and values) are the most effective role models and guider of other components. All the main components have two-way influence on each other. The output of the study led to the design of a competency model for senior managers of governmental companies with a corporate governance approach.

Designing the 3D model of social responsibility for public organizations (Iranian-Islamic approach)The aim of this research designing 3D model of social responsibility for public organizations in Iran. This study, based on the perpouse is development-applied and based on methodology is mixed method. To identify the elements of social responsibility we using qualitative methods such as Delphi and get key-informant opinions were refined. In the next step, we used the fuzzy inference system to provide the final 3D model. For analysis, we use SPSS and Matlab softwares.In the first step, for social responsibility seven elements approved, then according to opinions’s connoisseurs and Delphi method for each element determine components. In the second section, results shows the ethical approach and organization strategy have a positive impact on all of the social responsibility elements.Keywords: Social responsibility, Islamic approach, Strategy, Public organizations, fuzzy method.Keywords: Social responsibility, Islamic approach, Strategy, Public organizations, fuzzy method.

After the glorious victory of the Islamic Revolution of Iran, a style of management was established based on the Islamic value system. And caused the practical methods of managers to be valued and the understanding of the necessities and needs of society combined with the spiritual, religious spirit and revolutionary consciousness to be considered and practiced by managers. In this regard, the management of the balance of the revolution can be considered based on the values and views of the Supreme Leader, which arises from the revolutionary culture and indicates management based on Islamic values. The thought and menus of the Supreme Leader with innovative approaches and explanation of Islamic-revolutionary values have given a special freshness and dynamism to this way. The purpose of this study is to explain the dimensions of revolutionary behavior of managers and its adaptation to management literature. What plays a key role in the well-being of a society is the competence and comprehensiveness of the managers and agents of that society. In organizations, the success of the organization in achieving organizational goals and missions depends on skilled and competent managers. Therefore, the selection of the right brokers and managers deserves a lot of attention and review, and criteria should be considered for measuring people and selecting them. Certainly, the criteria of measurement in any society should be defined in accordance with the values and worldview of that society. The material worldview is unique to the material world, but in the Islamic worldview, both this world and the hereafter are considered. In the Islamic worldview, the goal is not just to produce more, but the ultimate goal of human transcendence and reaching the position of God's caliph on earth. This difference in worldview is the difference between Islamic management and Western management, each of which has its own criteria