فهرست مطالب احمد قربان پور

In the last decade, concern about the environment has increased increasingly around the world. One of the serious environmental challenges is urban solid waste, the management of which has been raised as one of the main concerns of human societies. According to the World Bank, by 2025, more than 1.4 billion people will live in cities around the world, and each of them will generate an average of 1.42 kilograms of municipal waste per day. Estimates show that municipal waste worldwide triples every year. The annual generation of municipal waste worldwide has increased from 0.68 billion tons to 2.2 billion tons. Based on available data from countries up to 2012, the World Bank has published a report focusing on municipal solid waste generation. Waste is materials or objects that are discarded or thrown away. Solid waste is waste or discarded materials and objects obtained from industrial, commercial, mining, agricultural, and general daily activities (Ugwu, Ozoegwu & Ozor, 2020). Solid waste is one of the serious environmental issues in developed and developing countries. Solid waste management is a major challenge in urban areas around the world, especially in developing countries. The main reason for this challenge is the rapid population growth along with the expansion of cities, the reduction of financial resources, and the weakness of urban planning. Human activities and changes in lifestyle and consumption patterns have led to an increase in waste production rates (Bovard & ilanloo, 2019). Controlling environmental pollution, including waste, is an important part of human duty in maintaining human health, which has a special place in new sciences and techniques according to economic health standards. Waste production is inevitable in human daily life and population increase will increase it. Municipal solid waste is defined as waste generated by human, commercial, and construction activities that are collected and treated by municipalities (Xiao, Dong, Geng, Tian, Liu, & Li, 2020). The main composition of these wastes is almost the same in different countries of the world. However, the amount of production waste, density, and share of each part of it is different from country to country and city to city. This difference is caused by economic development, geographical location, weather conditions, and cultural and social considerations (Afshar Kazemi, Eftekhar & Omrani, 2014). About, 2.01 billion tons of municipal solid waste is produced annually in the world, of which at least 33% is not environmentally managed. Worldwide, waste generated per person per day averages 0.74 kg but varies widely from 0.11 to 4.54 kg. Of course, it is predicted that by 2050, the amount of waste produced in the world will increase to 3.40 billion tons, which is equivalent to 2 times the population growth in that year. The East Asia and Pacific region produces the most waste in the world at 23%, while this number for the Middle East countries is about 6%. Of course, it is expected that the total waste production in this region will more than double by 2050. It is worth noting that in these areas, more than half of the waste is discarded without reuse. This waste growth will bring many adverse environmental, health, and welfare consequences. Therefore, it requires basic measures.

The purpose of this study is to evaluate the efficiency of circular economies in Persian Gulf countries in terms of Municipal Solid Waste Management. This research is applied in terms of purpose and descriptive survey in terms of data collection. Its statistical population was formed from Persian Gulf countries. In this research, the per capita value of MSW production and the dimensions of the social progress index "basic human needs", "basics of well-being" and "opportunity" are used as input and recycling as output in the model. SPI indicators show how well society can cover the needs of its members and improve their quality of life. Data on MSW generation and recycling rates were obtained from the World Bank and data on the three SPI indicators were extracted from the Essential Social Progress website. The data of this research is for the year 2021. The DEA model was implemented in LINGO Softer.

The findings show that the countries of Kuwait (1), United Arab Emirates (0.952), Saudi Arabia (0.654) and Iran (0.453) respectively have the highest circular economy performance compared to other countries in the Persian Gulf. The aim of this study is to analyze the efficiency of DMUs from the perspective of variable returns to scale (VRS).

The main purpose of this evaluation is the efficiency of circular economy in the Persian Gulf region in terms of urban solid waste management. The results show that Kuwait and the United Arab Emirates respectively have the highest circular economy performance compared to other areas of the Persian Gulf. Data analysis shows that according to the statistics of the World Bank, these three countries recycle 21% and 20% of manufactured products respectively. They have good performance compared to other input indicators. It should be noted that these results can be partially under the conditions of the Covid-19 pandemic. As, Iran will produce more solid food with more population and monitoring of health protocols. This could have caused it to fall to fourth place. Data analysis shows that production per capita in Iran is much lower than other countries. Iran has an average performance in terms of SPI indicators. But in terms of long-term performance, it has been ranked fourth. The reason for this is its very low recycling. Policymakers should use advertising, education, etc. to increase the collection rate of recyclable products. In order to improve their performance, the system needs to produce and at the same time increase the recycling rate. Education and public investment can help in this regard. Also, it should improve its performance in terms of SPI indicators. The province also improves access to basic medical care, food, water and housing. Also, they should provide access to basic education and even advanced education for those in the country who wish to increase their knowledge and skills. According to the results, it is suggested that other Persian Gulf areas improve their performance in recycling. The country's data shows that they recycle less than 10% of their production. It is suggested to evaluate the performance of the Persian Gulf with Europe for a better explanation. It is also suggested to use other indicators of reuse in calculating circular economy performance. Since it is new for environmental management and circular economy at the study level. This means that the special indicators of recycling evaluation and SPI indicators in previous years are different from previous years and practically will not reach a comparative output. For this purpose, it is suggested that future researchers study in different years with an interval of 5 years in the same field and compare the results of different years. However, there is no validity and reliability of this research. But more thought is needed in generalizing the results.

Smart technologies have brought changes in the supply chain. This study was conducted with the aim of investigating the impact of the Internet of Things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with the fuzzy cognitive mapping method. The statistical population is academic experts and active experts in the drug distribution company in Bushehr province. After identifying the components from the background of the research, an interview was conducted. Then the questionnaire was presented to 10 experts and experts and it was analyzed in several stages, and finally, the main factors of the use of Internet of Things in the supply chain were determined in 9 categories of criteria and 41 sub-criteria. The criteria include: intelligent management of inventory and warehousing, intelligent management of operations, intelligent management of information, intelligent management of products, intelligent management of costs, intelligent management of corporate productivity, intelligent management of customers and drug suppliers, intelligent management of sales and marketing, and intelligent management of the environment.The results showed that intelligent information management was obtained as the most important indicator; Because it affects all indicators. intelligent management of customers, intelligent management of sales and marketing, and intelligent management of operations are the second most influential. Therefore, managers of the drug distribution industry should use Internet of Things technology to intelligently manage information in their organization, improve relationships with customers, improve operations and focus on the sales process, and optimize supply chain processes and profitability.

In the age of globalization, awareness of sustainability issues is rapidly increasing among organizations, which creates a greater need to implement sustainable actions in supply chains to reduce social, economic and environmental problems. Sustainability is defined by the World Environment Commission as a development that meets the needs of the current generation with an awareness of natural resource scarcity. Over time, the relative importance of social, economic, and environmental dimensions to sustainability has varied. Managing all aspects of sustainability in an organization has become challenging due to the need for its overall restructuring with a focus on adopting fourth-generation industrial technologies, clean production, and circular economy measures. To address the challenges of changing the paradigm to sustainable, the concept of circular economics has received a great deal of attention around the world and has increasingly emerged as a new approach to creating sustainable business. A circular economy is a model that reduces waste production and emissions. Achieving economic benefits, minimizing environmental impacts and increasing resource efficiency are the main goals of the circular economy. This concept has emerged as a new industrial model and as a solution to reduce the negative effects of linear economics. This type of economic system is a good opportunity to reduce the use of raw materials, protect material resources and also reduce the impact of carbon. Its main purpose is to distinguish economic growth from the constraints of natural resources and social effects. Clean production is one of the new concepts that integrates several environmental design strategies and can be considered as a potential factor in a circular economy. Clean production emphasizes the integration of the relationship between the environment and management. In the age of industrial digitalization, the connection between fourth generation industries and the circular economy has made it possible to discover different ways in which environmental sustainability goals can be achieved. In this interaction, the digitalization of industries is increasingly playing the role of facilitator in clean production. This revolution is playing an important role in the sustainability of businesses. These technologies can enable real-time resource allocation programs and coordination with suppliers in sustainable production by gathering the information needed in real time from the intelligent manufacturing system. In view of the above, industries must increase their efforts to achieve sustainability goals and adopt innovative approaches during the action. Therefore, the main question of the research is: what are the factors of circular economy, clean production and fourth generation industrial revolution effective in evaluating sustainable performance in food industry and improving its productivity? And what is the relative importance of each of them? The present study is innovative in terms of combining and simultaneously paying attention to the components of circular economy, clean production and the fourth generation industrial revolution in the era of digitalization of industries to evaluate their performance.

The present research is applied in terms of purpose and descriptive-survey in terms of method and nature. The research area is the active manufacturing industries in the food sector of Bushehr province. At first, dimensions and indicators were identified by library method and based on the study and content analysis of theoretical and experimental foundations of research.The statistical population of this research consisted of experts and industrial and academic experts who were familiar with the subject empirically and theoretically. Eight of them were selected as sample members by non-randomized purposive judgmental method. In this section, the criteria for selecting experts were their theoretical familiarity and expertise in the fields of environmentalism, sustainable management, the 4.0 generation industrial revolution, and circular economics. The data collection tool is a researcher-made questionnaire. The validity of this questionnaire was confirmed by face content analysis approach and its reliability was confirmed by Cronbach's alpha method with a value of 0.705. In order to analyze the data, the stepwise or equilibrium evaluation ratio analysis approach was used in fuzzy environment. This approach is one of the multi-criteria decision making methods for weighting the indicators. The main feature of this method compared to other similar methods is its ability to evaluate the accuracy of experts' opinions about the weight indicators given during the method process, ease of implementation and no need for high comparisons. In addition, in this method, experts can consult with each other, which makes the results more accurate than other methods.

In order to analyze the data, the stepwise or equilibrium evaluation ratio analysis approach was used in fuzzy environment. After identifying the indicators, a questionnaire was designed and provided to the experts in absentia to receive comments.

The results showed that clean production and circular economy have the highest relative importance of improving the sustainable performance of manufacturing industries, respectively. Gupta et al. (2021), in their study, stated that circular economy and clean production have the most prominent role in the sustainable performance of organizations, which is consistent with the results of this study. Also, among the indicators; Excellent management support, waste recycling, energy and resource management and 3D printing have the highest weight. Therefore, more attention should be paid to these factors. However, it should be noted that the implementation of each of the indicators is likely to have many obstacles and contradictions; Therefore, researchers can explore these problems in future studies.This can be due to the lack of access to technology transfer and learning channels (including imitation through observation of fourth generation industries, import of equipment and technical knowledge, scientific and technological relations with leading countries). Strengthen the infrastructure and prerequisites needed for the country's industries to implement the developments of the Fourth Industrial Revolution. One of the limitations of this research can be in collecting data with a researcher-made questionnaire in the form of new dimensions and concepts based on the opinions of experts. The basic premise of this method is the equality of experts in terms of knowledge. Since there is a knowledge gap between experts in terms of familiarity with the concepts of these dimensions, this can lead to bias. Therefore, it is hoped that this limitation will be removed in other research by taking the necessary measures.

Aim and Introduction :

In the last decade, the design of the green supply chain network has become very important due to the increase in competition in global markets to achieve success, which requires the simultaneous commitment and cooperation of suppliers, manufacturers and distributors in the form of a network. One of the generalizable fields of the green supply chain network is the aquatic processing industry as one of the most important food industries that has paid less attention to optimize its supply chain in order to provide environmental benefits. In recent decades, the demand for food has increased more than the capacity to provide resources for it. Hence, the traditional food supply chain can no longer effectively manage demand. The increase in world population, globalization, global warming, drought and groundwater crisis in recent years have led to the loss of natural resources needed for animal husbandry and the reduction of marine reserves in Iran as well as in other Middle Eastern countries. The expansion of aquaculture farms has not only contributed to the development of sustainable food in the country, but has also been very effective in preserving endangered species. The aquaculture industry has grown significantly in recent decades. In this industry, green supply chain network design seems to be critical for aquatic processing.

This study is a descriptive research and applied one in terms of purpose. In this research, after examining the theoretical foundations and experimental background, the network design was proposed. The aquatic supply network was designed in three levels, for four farms, three factories, and two customers. The first level includes aquaculture farms. The second level consists of models of aquatic processing factories. The third level includes customer networks. Of course, other levels of the aquaculture supply chain, i.e. retailers, can also be considered in network design. Then the appropriate mathematical model was formulated and validated with a case study. LP-metric method was used to solve this model. The GAMS software was used in this study.

In this research, the network of green aquatic management has been designed to achieve the goals of minimizing costs and carbon dioxide emissions and maximizing the capacity of units at three levels for four farms, three factories, and two customers. In this research, after drawing the network of the problem and explaining the mathematical model, it was solved using the comprehensive criterion method with p equal to 1, 2, and 3.The value of the objective function was calculated with p equal to 0.09. By increasing the value of p, it became clear that there is no distance between the values of the objective functions and the ideal values. Then, the value of decision and binary variables was calculated. The first factory has the highest aquatic receiving capacity from the second, third and fourth farms.

In order to achieve the goals with an emphasis on reducing the carbon footprint, the first factory should process the third product, the second factory should process all three types of products, and the third factory should process the second product. In this research, certainty is considered for the parameters. If the surrounding environment is very dynamic, this turbulence can increase the uncertainty of model parameters. Therefore, it is suggested to solve the research model assuming uncertainty in the parameters in other researches. In this research, the same weight has been considered for three purposes.In this study, it is assumed that the transportation cost between nodes depends only on the distance. It is important to note that the cost of transportation between two points can be affected by various factors. Therefore, it is suggested to pay attention to these factors in other researches. Using the research model can minimize the total costs in the aquaculture network and maximize the capacity of using the components of the entire chain, bringing the environmental destruction to the lowest level. Therefore, it is suggested to use this model. One of the factors affecting the production and emission of carbon is the number of car trips. In other words, the lower the number of trips (carrying times), the lower the emissions. It is suggested managers to use a means of transportation with a higher capacity. Timely servicing of goods transport vehicles can also be effective in carbon emissions. It is recommended to periodically repair the car. In the chain under study, most of the cars were worn out and without fuel consumption reduction technology. It is suggested to replace the old vehicles carrying goods with modern and high-tech vehicles. It is recommended to use gas-fueled vehicles for transporting goods.

Aim and  In today's digital age, achieving and maintaining a sustainable competitive advantage in terms of delivering the expected value of stakeholders is the key to the success of organizations. The value created by businesses as a perceptual concept is formed based on the knowledge, feelings, and experiences of stakeholders and emerges over time and under the influence of various factors in the form of new paradigms. In the current context, attention to the environment, efforts to reduce poverty, health promotion become one of the main components of identity for businesses, its sustainability and institutionalization in organizational value can be a long-term investment for an organization. Understanding and creating sustainable value has always been one of the strategic elements of business. To this end, organizations must focus on developing and applying green business models to create sustainable value. By examining the relationship between the environment as a new model of management and value creation, organizations can create opportunities to create sustainable value through cost and risk reduction, product differentiation, and the provision of environmentally friendly products. Green processes are an effective tool for realizing this philosophy agreed upon by organizations. The purpose of this study is to investigate the impact of environmentalism and green service processes on creating sustainable value for the petrochemical industry.  This research is applied in terms of purpose and descriptive-survey in terms of data collection method and is of correlation type. The level of analysis of this study is the petrochemical industries of Bushehr province, which were selected by a simple random sampling method. The statistical sample size was calculated as 84 units. In this study, a researcher-made questionnaire was used as a data collection tool, the validity of which was confirmed by the face content analysis method, and its reliability was confirmed by Cronbach's alpha method. The analysis of research data was performed using structural equation modeling with partial least squares approach in Smart pls software.  the research model was fitted with software in the measurement and structure sections. The reliability of the measurement model was measured by combined reliability indices and Cronbach's alpha coefficient and factor loads. Also, the validity of the measurement models was evaluated with the mean value of the extracted variance index. The results showed that the measurement models have good convergent validity. Then the validity of the structural part of the model was fitted and confirmed. Finally, the overall fit of the model was done. The results of data analysis showed that environmentalism has a positive and significant effect on creating sustainable value and green service processes. Also, the results showed that green service processes have a positive and significant effect on creating sustainable value. Therefore, it can be said that green service processes play a positive mediating role between the environment and creating sustainable value.Discussion and Based on this finding, it was determined that environmental actions are effective tools to achieve and strengthen sustainable organizational values. Therefore, managers of petrochemical companies are advised to focus on the components of internal environment management, green purchasing, and management of energy consumption and resources, which have a higher factor burden than others, in order to improve and enhance the environmental performance of their company. Another finding of the study showed that green service processes have a positive and significant effect on creating sustainable value. Therefore, the managers of petrochemical companies are suggested to try to strengthen and redesign their organization's green service processes in order to achieve the advantage of creating sustainable value. In this way, they can focus more on redistribution and waste reduction measures that have a higher factor load than others. Another result of the study showed that the environmental actions of the petrochemical industry have a positive and significant effect on green service processes. In other words, managers of petrochemical industries can improve the green processes and consequently create sustainable organizational value by emphasizing environmental measures and their implementation. Also, managers of other organizations in the current dynamic world are advised to use the model of this study to create sustainable value.

Inventory management and order planning in medical centers is very important, especially in the context of epidemic diseases, and can have a significant impact on reducing costs, providing optimal services to patients and meeting the needs of medical staff. The main purpose of this study is to design a time-varying multi-commodity dynamic model for optimal inventory management and planning of consumer goods orders of hospitals in the pandemic of Quaid 19. The study area is the Persian Gulf Hospital in Bushehr. In this study, a particle-genetic swarm optimization algorithm under multiple scenarios has been used to solve the mathematical model. The results showed that the proposed model based on the supply of initial demand, in the type and amount of consumption of different goods, has the ability to minimize costs by considering the limit of warehouse volume under multiple scenarios. Also, the hybrid algorithm has a better performance compared to genetic algorithms and particle swarm optimization.

In recent years, the most important philosophy agreed upon by organizations has been to create both economic, social, and environmental value in the form of the concept of sustainable management. Circular economy is a new concept to account for the sustainable management. The main purpose of this study is to analyze the performance of manufacturing industries from the perspective of the circular economy components. This research was conducted in the second half of 2020. The statistical population of this study includes the food industries in Bushehr province, which due to the limited size of the population, all of them were selected as statistical sample. The data collection tool of this research is a researcher-made questionnaire whose validity was checked by face content analysis method and its reliability was checked by Cronbach's alpha method. In this research, first, by studying the theoretical foundations and empirical background, effective components in circular economics were identified. Then, using the k-means algorithm, clustering of selected food industries was performed. The results showed that the food industries are in two industrial clusters: circular and linear. Next, the species detection function was obtained. It is suggested that linear industrial cluster managers pay more attention to energy efficiency, water consumption management, and sales of recyclable materials in order to transition to a circular economy. This research is of innovative nature in terms of developing the theoretical concept of circular economy and applying it to improve the performance of the food industry.

Over the past decade, there have always been new paradigms in supply chain design. The green supply chain is a new concept that helps organizations deal with unexpected disruptions and minimize environmental impacts. The main purpose of this study is to present a multi-objective optimization model for a green-resilient supply chain network in cement industries. Dashtestan cement industries have been selected for validation and implementation of the model.

After reviewing the theoretical foundations and experimental background, the network was designed. Then, an appropriate mathematical model was developed and validated by a case study. In this study, scenarios were defined in two modes of production surplus and non-production surplus. Data analysis in each scenario was performed with MATLAB software. The CPLEX solver was also used to solve the model.

The results showed that Dashtestan Cement Company's production surplus has no effect on supply chain resilience. Also, it can be concluded that if there is a production surplus, the cost of carbon dioxide emissions is less than the one in the absence of surplus production.

The company's production level has little effect on the cost of carbon dioxide emissions and the amount of that in the designed network is mostly due to the carbon emission rate in the production nodes and arcs. Therefore, the reduction of carbon footprint in these parts of the network should be considered.

Reliability is one of the most important performance evaluation indicators in maintenance and repair filed. The present study is a mixed design attempting to identify the antifragility components and their effect on the system reliability using the system dynamics. In the qualitative section, using by the thematic analysis method, with the participation of 10 organizational and academic experts, antifragility factors were identified in the form of 254 open codes, 18 organizing codes and two global codes with the review of literature and using Maxqda 2020 software. In the quantitative part of the research, the relationship between the antifragility factors with the system reliability was investigated using multiple regression method. The three criteria of learning, redundancy and exploratory discussions were identified and selected as the factors that have the highest impact on system reliability. The effect of these indicators on system reliability in a dynamic environment was simulated using the Vensim software, DDS version. The results show the positive effect of all three criteria of learning, redundancy and exploratory discussions on improving the reliability of the system in the area in gas transmission Company-zone 10. Also, the redundancy index had the highest effect and learning components and explorative discussions were in the next classes of impact on improving the system reliability.

In the modern era, gamification is increasingly used as an essential part of services, software, and systems to engage and motivate users and arouse their appropriate behaviors. The main assumption is that gamification can increase the system's ability to meet innate needs and promote the productivity of the staff and system, accordingly. Thus, the present study aims at identifying and prioritizing the factors affecting gamification by applying the fuzzy SWARA approach. This study is applied and qualitative-quantitative in terms of objective and methodology, respectively. The population includes the faculty members of Persia Gulf University who were familiar with the research topic. The sample members were selected through a purposive non-random sampling method of judgment with several 14 members. The researcher-made questionnaire was used to collect the data. By comparatively reviewing the literature and taking the experts' opinion, 16 factors affecting gamification were identified and analyzed. The research results indicate that the variables of ease of use, learning opportunities, and game identification have the highest weights, while the factors of signs, progress ladder, and sociability have the lowest weights. Hence, to implement the gamification approach in Persia Gulf University, the factors with the highest weights should receive the most attention.ty, the factors with the highest weights should receive the most attention.

This paper aims to propose a mixed approach for evaluating preventive maintenance performance based on anti-fragility factors in Iranian Gas Transmission Company (IGTC) district 10.

Design/methodology/approach: 

In the quantitative part of this mixed research, using the Fuzzy Delphi Method (FDM), out of 131 key performance indicators taken from different standards, 16 indicators identified suitable for the activities of IGTC district 10. In the qualitative section, using the thematic analysis method, ten organizational and academic experts participated, and anti-fragility components in the form of 254 open codes, 18 organizing codes, and two comprehensive codes identified and categorized using Maxqda2020 software. The effect of these indicators on maintenance key performance indicators investigated using the canonical correlation method.

Findings indicated that learning and growth, panarchy, heuristics, harmonization, and Barbell strategy of behavioural components, and redundancy, participation system, and high reliability of structural components had the highest impact on key maintenance performance indicators including condition-based maintenance cost, average downtime, percentage of accidents involving personnel, and the mean time between failures.

 Research limitations/implications: 

The most important limitation of this research is that due to the case study unique characteristics, the results could not be generalized to other companies. Besides, the proposed model developed based on anti-fragility factors that are not available simply or difficult to define for every company. So, it is suggested that in order to apply the proposed model, first the anti-fragility factors for the company should be localized.

 Practical implications: 

By applying the proposed model, companies can expect a significant decrease in the total preventive maintenance cost and human injuries caused by defects and breakdowns. Also, managerial planning in the preventive maintenance system toward the resource allocation to the equipment and PM personnel will be simple.

Social implications: 

Recognizing anti-fragility factors and reducing irreparable human and technical damages will lead to positive employee and social attitude towards the company. Also, the proper performance of a preventive maintenance system will result in a clean and carbon-free environment.  

Originality/value :

The proposed approach is suitable for evaluating preventive maintenance performance based on anti-fragility factors in companies. The use of quantitative and qualitative analysis in the proposed methodology was not considered in the reviewed literature, simultaneously. So this approach can be a model for other subsidiaries in the oil and gas industry to follow.

Today, human life has become increasingly like games, not just because games have become a big part of human life, but most of the activities, systems and services are game-based. Therefore, the main challenge for organizations in the current digital age is to use skill-based game systems to enhance employee motivation and learning. The main purpose of this study was to investigate the game-based capabilities of learning management systems (LMS). This research, in terms of purpose, is in the field of applied research and in terms of method, in the form of qualitative-quantitative research. In first, a number of seven capabilities were identified by studying theoretical background and empirical background and obtaining expert opinions. The statistical population of the study includes professors as well as administrators and experts. The number of ten of them were selected as sample members. Data collection tool was a researcher-made questionnaire whose validity was confirmed by content analysis method and its reliability by Kendallchr(chr(chr('39')39chr('39'))39chr(chr('39')39chr('39')))s coefficient. To analyze the data was used the CRITIC-COPRAS approach. The results show that among the four types of learning management system studied, iSpring LMS received the highest score. Finally, discussion and conclusions are presented.

Given the importance of optimizing and improving energy efficiency in society and the need for policymakers to consider this issue in different dimensions, this study aimed to identify and analyze the role of economic, cultural, social, technical, climate and demand side management in improving efficiency. Electricity consumption has been done in the domestic sector of Fars Regional Electricity Company. The statistical population of this study included 1951 experts, deputies and managers working in the field covered by Fars Regional Electricity Company. This research lasted from March 2017 to the end of January 2017. The statistical sample of this study was selected by simple random sampling method. Questionnaire was used for data collection. Validity of the questionnaire was confirmed by content validity and its reliability was confirmed by Cronbach's alpha. The data analysis method used in this study is structural equation modeling with partial least squares approach. The results show that the components of technical, cultural, social, demand, economic and climatic factors have the greatest impact on improving the efficiency of electricity consumption in the household sector, respectively

Earthquakes are one of the most important disaster in cities and often occur on different scales. One of the most pressing needs after the earthquake is determain location for the temporary accommodation of the affected population. To this end, this study seeks is ranking initial response centers by use of mixed approach.

First, the performance indicators identified by examining the theoretical findings. Then, the relative importance of functional indices was calculated using the CRITIC Approach. Second, the emergency accommodation centers were ranked using a multi attribute utility theory approach. The statistical population of this study consisted of managers and specialists in Bushehr province as well as faculty members of the Persian Gulf University who had appropriate theoretical and empirical knowledge in crisis management with special emphasis on earthquakes. The statistical population of this study includes managers and specialists of Bushehr province as well as faculty members of the Persian Gulf University who had good experimental and theoretical knowledge in the field of cris management with special emphasis on earthquakes. In this study, data analysis was performed with CRITIC approach to evaluate the importance of indicators and multi-criteria tool theory approach for ranking emergency accommodation centers.

The indicators "distance from unsafe areas", "access to medical centers", "access to a fire station", "distance from a natural hazard" and "distance from inappropriate items" are very important. They weigh 0.18, 0.16, 0.14, 0.09, 0.08, respectively. Also, the options of "Phase 2 of Imam Ali Park" with a weight of 0.92, "Air and Marine Base" with a weight of 0.91, "Niayesh Town" with a weight of 0.8 and "International Exhibition" with a weight of 0.55, to You have a higher ranking order.

The results showed that indicators of distance from unsafe areas (such as dilapidated areas), access to medical centers and access to the fire station are of higher importance, respectively. Therefore, in order to respond quickly and appropriately after an earthquake, decision makers need to pay more attention to these indicators. Also, the results show that in case of an earthquake in Bushehr, the locations of "Phase II of Imam Ali Park", "Air and Marine Base" and "Niayesh Town" as serious and suitable options for emergency accommodation in the event of an earthquake crisis in They are Bushehr.

Nowadays, environmentalism is a new paradigm for improving the organizations performance. Aligning green human resource management activities as the main organizational asset with the environmental organizations practices is essential. The main purpose of this study was to investigate the effect of green human resource management components and the organization's environmental practices on the sustainable performance in downstream petrochemical industries. Based on the main purpose, the present study is among the applied researches and from the view point of data collection method, it is descriptive-survey and correlational. The statistical population this study includes downstream petrochemical industries located in Bushehr province that 72 of them were selected as sample members by simple random sampling method. In this study, the necessary data were collected through a researcher-made questionnaire whose validity was confirmed by content validity and its reliability was confirmed by Cronbach's alpha. Data analysis was performed by structural equation modeling with partial least squares approach. Findings showed that green human resource management has a positive and significant effect on the sustainable performance in downstream petrochemical industries directly and also through the mediation of the organization's environmental practices.

In the last decade, the most important philosophy agreed upon in organizations has been environmentalism that can help them to achieve a sustainable competitive advantage by improving their reputation and position. A very important tool for organizations to achieve this goal is to observe the importance of green management practices. The main purpose of this study is to provide a clustering and conducting a discriminant analysis of public organizations in terms of performance in green management and its components. This study is applied in terms of purpose, and regarding method and nature is a descriptive survey. The statistical population of this study consists of the public organizations of city of Bushehr, which were selected using simple random sampling method. Finally, 74 organizations were selected as sample members. A researcher-made questionnaire was used for data collection. The validity and reliability of measures were confirmed employing content analysis method and Cronbach's alpha method, respectively. In this study, nine influential components in green management were identified by studying the theoretical foundations, literature reviewing and examining the main documents. Then, collected data were analyzed by genetic algorithms, K-means and discriminant analysis. The results show that public organizations, participated in this study, are in the "action-oriented" and "reactionary" clusters from the perspective of green management, and the proposed predictive function has a very high power in distinguishing organizations. In terms of contribution, this study has clustered public organization from a new perspective.

In the present era, green supply chain management is considered as an important organizational philosophy in reducing environmental hazards and a preventive approach to increase organizational performance. Different industries are obliged to enforce environmental compliance during various supply chain processes to meet environmental obligations in their production or service activities. Hence, the main purpose of the current enquiry was to design a two-level model for green supply chain management practice and to analyze the relevant importance of each component, via fuzzy analysis, in enhancing green productivity in the Petrochemical Industry in Bushehr province, Iran. The research population consisted experts and specialists from both the industry and the university. The research data were gleaned through a researcher-made questionnaire. To serve the purpose, the study commenced with reviewing the existing literature via a qualitative content analysis approach which identified 12 important measures that can be taken in the field of green supply chain management. Having validated the Two-Level Model, the importance of each of the measures was computed via Fuzzy analysis. Finally, the managerial measures in Green Supply Chain were classified and, accordingly, suggestions were presented to the Petrochemical Industries Managers concerning how to improve their situation.

In recent decades, supply chain uncertainties have significantly increased mainly due to rapidly changing business environments. This has put the resiliency at the top of priority issues of service provider firms. This paper aims at designing an interpretive structural model (ISM) to analyze the supply chain resiliency of the Power Distribution Company of Bushehr Province based on the data collected through a questionnaire filled by a sample of experts from both industry and academia. After literature review and using content analysis approach, factors affecting the supply chain resiliency were identified. A multi-level interpretive structural modeling was proposed and then validated using structural equation modeling approach. According to the results agility, flexibility, adaptability, and visibility are the most significant factors affecting the supply chain resiliency of the Power Distribution Company of Bushehr Province.

Green supply chain management is consideredas an important organizational philosophy in the reduction of environmental hazards as well as a proactive approach to improve the environmental performanceand Achieve sustainable competitive advantages in organizations. The main aim of this study is to identify and measures the importance of a green supply chain management practices in the Field of Iran's Oil Industries. By reviewing the literature and using text content analysis approachwe recognizedfifteen green practices.The statistical population ofthis research included managers and experts familiar with the issue and working in the field of Iran's Oil Industries.
Sample members were selected with targeted non-random sampling method.A researcher made questionnaire was used for data collection that its validity and reliability was confirmed. In order to achieve the purpose of research fuzzy mixed approachwas used. The results of analysis showed that legal requirements and regulations, and internal environmental management, design green, and green technology are the effecting practices in green supply chain management which require more emphasis and attention of managers on this kind of practices. It should be noted that the present study has innovation for development of theoretical concepts and the use of subjective judgment in determining the interal relations and using Fuzzy Integrated Approch.

Today, one of the major challenges that planners and managers are grappling with in the field of banking services is customer recognition, and distinction between different groups of customers. It is obvious that the use of appropriate model gives the bank the opportunity that fits your valuable suggestions along with demands for targeted sectors and provides design and thus improves bank performance from different perspectives. The aim of this study is using and appropriate model for clustering customers based on indexes including novelty, number of transaction and financial factors. In this paper, for clustering data, the genetic algorithm combining with fuzzy C-means is used to overcome problems such as being sensitive to the initial value and getting trapped in the local optimum. The simple random sampling method is used to obtain the sample. The findings show that the first cluster of customers due to its high performance in "novelty", "number of transaction" and "financial factors" index are loyal customers and the second cluster of customers because of low performance in "novelty" index, mean performance in "number of transaction" index and high performance in "financial factors" are among those customers who are turning away from bank.

Today human is engaged with a great crisis as a result of his unbalancing the life, neglecting indigenous and environmental factors, and hegemonic behavior toward nature. This has ended to creation of an approach called sustainable development whose main aims are to meet the essential needs, improvement of life quality, and better management of ecosystems. Obviously it is meaningless to discuss sustainability and sustainable development in the absence of cities and urban life. Cities are counted for as the main reasons for unsustainability the world over, however urban sustainability and global sustainability are the same concepts. Therefore, knowing key elements to reach this station is necessary, whereas recognition and prioritization of effective key elements in sustainable development is strategic and entails economic, social, and health-related results in the sequence of time. The current study is descriptive-analytic in which attempts have been made to estimate the importance of main indices of sustainable development based on the opinions of elites using a fuzzy hierarchical analysis process technic. Analysis of the data shows that from among main indices, urban health, desirable governmental system, and sustainable environment are respectively of the highest importance.

In the era of the knowledge economy, knowledge is known as a critical resource for competitive advantage and to be able to compete organizations, management of knowledge assets has become necessary. However, when knowledge could lead to the improvement of the performance of organizations in the organization to be exchanged. Therefore, the transfer of knowledge as a key element in the process of knowledge management is recognized. Accordingly, the present study the feasibility of tacit knowledge transfer in the enforcement of the Islamic Republic of Iran - Bushehr. In conducting this research, survey research method was used. In order to collect information on this case study, a standard questionnaire was used. In order to analyze the data and verify hypotheses inferential statistics such as t-test (t) is used. The results showed that tacit knowledge transfer between law enforcement organizations, the province can not go there. And how this transition can be considered as subject for future research.

Despite the financial and economic corruption is one of the major obstacles to economic development in developing countries is. Financial and economic corruption undermines the rule of political stability on the one hand and on the other hand with the government's role in the disruption of allocation of resources, stability, income distribution and the government's economic goals will be prevented. So pay attention to it is necessary. Accordingly, the present study attempts to identify key practices and strategies to take advantage of bank loans and determine their hierarchical relationships through a combination of literature review and experts and law enforcement experts in Bushehr province, fuzzy model for the assessment of presented techniques be. This hierarchical fuzzy pattern can be regular and targeted approach to identify methods and techniques more important than the goals and strategies of an organization and identify the appropriate components and an adequate standard to facilitate the decision-making process create. The results show that the reliability and validity of the proposed model for abusive practices of credit rating is important.