farshad faezy razi

Counterproductive work behavior is a form of deviant behavior that leads to financial losses. Counterproductivity behaviors have varying impacts on organizations and harm public trust in them. Considering the importance of the topic, this research, conducted within a qualitative framework using grounded theory, aimed to design a model for counterproductivity behaviors in monetary and financial organizations. The present research is qualitative, fundamental in terms of purpose, and exploratory in nature. It was conducted using the systematic approach of Strauss and Corbin (1998) in grounded theory. The statistical population of the study included experts from monetary and financial organizations. Through non-probability purposive sampling (snowball technique) and based on the principle of theoretical saturation, 24 participants were selected as the sample. Data collection was carried out through semi-structured interviews, and the data were analyzed based on the Strauss and Corbin approach in the grounded theory model. For data coding, the three stages of open coding, axial coding, and selective coding were performed using NVivo software. A total of 108 initial codes, 36 concepts, and 17 categories were identified as findings of this study. The results of the study identified the lack of approval of laws and regulations and the absence of external oversight as contextual factors; lack of job commitment, lack of job attachment, lack of employee career development, and lack of job specialization as intervening factors; neglect of the physical environment, lack of managerial excellence, and lack of human resource development as causal factors. The core phenomenon was found to revolve around employees and the organization. Furthermore, lack of governance, lack of transparency development, lack of accountability, and lack of performance monitoring and evaluation were identified as strategies. The consequences were determined to impact the organization, employees, and customers.

The purpose of this research is the effective factors on the design of the management dashboard framework with an emphasis on the components of human resources productivity. The research method is applicable in terms of purpose, qualitative in terms of execution method, and cross-sectional survey in terms of nature. The statistical population of the research includes 15 senior managers of Mapna Company and knowledgeable academic staff members in the field of research; and the interviews continued until reaching theoretical saturation. Semi-structured interviews were used to collect information. Delphi method was used to analyze the data. The findings of the research showed that after collecting data and conducting interviews and conducting the Delphi method, 15 dimensions and 53 indicators were counted in the final model in 4 main components. Among these, group dynamics and team spirit, success motivation and talent assessment and completion of talent banks of employees, documentation and continuity in learning, creating motivation and success among employees with a weighted average of 4.9 are among the most important factors identified.

Known as financial intermediaries, banks should direct capital toward different projects and industries in a bid to play a positive role in the sustainable development of society and fulfill their social responsibilities. However, the design frameworks of Iran’s banking business models have failed to simultaneously provide financial interests for firms and banks. Despite the analysis of the agents affecting the liquidity problems of manufacturing firms, the literature has nearly neglected the conflict of financial interest between banks and those firms. Hence, this study aims to design and simulate a social banking model based on agent-based modeling to reduce the conflict of financial interest between banks and manufacturing firms. The social banking model was simulated in NetLogo for Resalat Qard–al-Hasan Bank of Iran, selected due to its leading role in providing inexpensive microfinance services to develop social entrepreneurship without expecting dividends. The proposed model pursues the cash flow and other important financial parameters related to firms, the bank, clients, and Iran's state during the 2017–2022 period. Tested, implemented, and analyzed in multiple simulation intervals, the results indicated changes in the parameters in response to developments based on social banking implementation.

Many studies have addressed supply chain that shows the importance of the subject and the competition in the supply chain consisting of several companies. The previous studies address the issue of reducing the Bullwhip Effect in the supply chain, which is possible by predicting the correct amount of customer demand. This paper improves the accuracy of the model prediction and reduces the existing error in the previous models to attain an accurate and very close-to-reality forecast and also to reduce the Bullwhip Effect in the supply chain. Literature shows the absence of research on the presentation of a metaheuristic algorithm consisting of a neural network and bat algorithm to forecast supply chain demand in manufacturing companies; therefore, this article is innovative. On the other hand, no researchers have addressed Bullwhip Effect reduction using mixed metaheuristic algorithms. Therefore, this article improves the previous models, reduces the number of errors in demand forecasting, and reduces the Bullwhip Effect. For this purpose, the scalable gradient algorithm method is used for better network training. The results indicate the optimal performance of neural network training with a comparable gradient and bat algorithm on reducing the Bullwhip Effect.

The current research was conducted to identify the themes of managers' digital competencies with a thematic analysis approach with a qualitative strategy.

Thematic analysis was based on the model of Clark and Brown (2006). The data collection tool was a semi-structured and in-depth interview, which was analyzed using open and axial coding. The research community was (managers and experts of the country's education assessment organization), and among them, the data reached the saturation level with 15 people.

The digital competencies of managers with the title of comprehensive theme include 3 comprehensive themes of knowledge and awareness, skills and abilities, and individual characteristics with 14 organizing themes and 58 components in the form of basic themes.

The required skills are knowledge of data science, knowledge of information security, organizational management and leadership abilities, soft skills and communication methods, digital leadership and efforts for digital creativity and innovation, digital literacy in this era, and having professional training and developing digital interaction and communication in line with The development of digital talent of employees of the measurement organization, management of digital change and transformation and the use of digital platforms, management of attitudes and finally social and moral responsibility are among the skills needed by the employees of the measurement organization.

This research provides a data-driven model of electronic banking customer experience using digital marketing knowledge. The study is applied-developmental research, and it is a cross-sectional survey research. A semi-structured interview and a Likert scale questionnaire were used to collect data. The statistical population in the qualitative section includes banking industry experts. Using targeted method, 15 experts participated in this section. The statistical population is one million people (active customers of electronic banking) and the sample was calculated based on the Cochran table of 384 people. To analyze the data in the qualitative part, the foundation data analysis method was used in MAXQDA, and for the validation and presentation of the final model, the structural equation modeling method and SMARTPLS software were used. Based on the designed model, 6 categories for causal factors (proper decision-making, time management, digitalization effects, cost management, business trends, and relationship management), 2 categories for background conditions (banking industry and digital economy), 2 categories for intervening conditions (individual factors and environmental factors), 4 categories for strategy (digital tools, trust building and training, digital differentiation and digital platform), 3 categories for outcomes (prosperity of the banking industry, customer satisfaction, and economic productivity) became. Banks are an important pillar of the economy and the strategies they adopt will affect the recovery of the economy after the pandemic. Digitization is one of the important options for banks in order to provide the best and most reliable solutions to customers in their current business with the bank.

the current research was conducted with the aim of validating the model of digital competencies of managers in a mixed method. The research method of the qualitative part was thematic analysis based on the model of Clark and Brown (2006), and the data collection tool was a semi-structured and in-depth interview, which was analyzed by open and axial coding. The research community was the managers and experts of the qualitative department of the country's education assessment organization, and the data reached the saturation level with 15 of them. In the quantitative part, the confirmatory factor analysis method and Smart-Pls2 software were used, and the statistical population of the quantitative part included managers and supervisors working in the country's education assessment organization in the number of 250 people. Digital competences of managers with eight overarching themes including knowledge and awareness, individual characteristics, new approach to management, digital infrastructure of the organization, technological development, creative digital environment, strengthening technological human resources and updating the organizational system with 20 organizing themes and 93 components. It was identified in the form of basic themes. All the coefficients of the above model are in the acceptable range with a confidence level of 95%. The models of the research variables are in a good condition from the point of view of all three categories of fit index. As a result, according to the obtained results, it can be said that the model is approved.

Background &

Social media are considered as the leader of the web and the businesses under it and have been able to have the most influence among internet users, and with the spread of corona, human life and the world's health system have been affected in such a way that its negative effects on the systems Global health is quite evident; Therefore, the purpose of this study was to determine the causal factors affecting the marketing of social networks in order to improve the general health of the society, focusing on the purchase of medical equipment in the conditions of Covid-19.

The statistical population of this qualitative study included all academic experts and experts in the field of marketing, most of whom were members of the faculty of universities in the country, as well as experienced people in the field of marketing, especially marketing of medical products and equipment. The statistical sample size was 25 people until reaching theoretical saturation through semi-structured Delphi interviews. The statistical population of the quantitative part includes all the customers and sellers of medical equipment stores in the country, which were more than 4048 people in total, so according to the Jersey-Morgan sampling table, the number of (384) people from this population was randomly available from all over the country as The sample was selected and answered the questionnaire extracted from the qualitative section. Exploratory factor analysis and confirmatory factor analysis were used for data analysis with the help of SPSS and Smart PLS statistical software.

In general, in the quantitative results of the research, there is a significant relationship between its 8 categories (psychological dependence of community members on social media, the role of brands in social media marketing, optimal cost and time management of people in marketing, personal factors (customers and sellers), social media capabilities. In marketing, the reasons for being on social media, the legal and legal factors of social media marketing and the infrastructural factors of social media marketing) were confirmed with effective causal conditions in the development of social media marketing in the purchase of medical equipment.

According to the results, it can be acknowledged that the determined components in the development of social media marketing are effective in the purchase of medical equipment. Different governments have implemented various strategies such as border closures, travel restrictions, and quarantines even in the countries that make up the world's largest economies, raising fears of an impending economic crisis and economic stagnation. Its pandemic had a significant impact on world economic growth, and estimates so far show that the virus could reduce global economic growth if current conditions continue and increase the risk of global economic recession by approximately 2% per month, similar to what will happen during the Great Depression of the 1930s. Therefore, it is important to identify the appropriate solutions for the market to be active and the economy wheel to move, so that these solutions can play an effective role in dealing with the spread of the coronavirus and increasing the public health of society while increasing the economic cycle. The present age is the age of communication and information. In this era, the use of the Internet is expanding and it forms an important part of people's lives. Nowadays, people use the Internet and virtual space for shopping, collecting information, having conversations, and many other activities. Meanwhile, social media are the most popular parts of virtual space for public use. Social media are a group of Internet-based tools that are based on the ideological foundation and web technology and allow users to create content and exchange it. Unlike traditional media that send a one-way message to customers, social media is an ideal tool for continuous and two-way conversations with customers. Social media marketing forces organizations to use social media applications to complement traditional business methods and offers them a new way of relational evaluation. Give It seems that due to the ambiguities and limitations in the field of social media marketing, medical equipment sellers do not take much advantage of this marketing tool in the conditions of the corona disease.  Social media have several features in common. One of the most important features is that most of these sites rely heavily on user- generated content, where it is the users who largely determine the product offered by the company. Do The large customer base has made social media very popular not only among users but also among companies that use social media as a marketing communication medium. Marketing programs based on social media are usually focused on creating content that can attract the attention of users of social sites and encourage them to share the desired content on social media. In this way, the message of the desired company/person/organization is transferred from one user to another in the form of a chain.

The present research has analyzed the dynamic risks of the stability of the supply chain of banking services using social network analysis (SNA) and system dynamics (SD) in order to policy the stability of the supply chain of banking services. According to the results of SNA; Corruption risks of receiving facilities, customer dissatisfaction, shareholder dissatisfaction, bank service costs, the cost of establishing a new bank branch, demand for facilities, payment claims to customers and the bank's supervisory weakness as critical risks and risks of paper waste, urban traffic, cyber security, supervisory weakness and Lack of human resources were identified as the most causal risks . Next, the SD model was designed based on the interactions of critical risks and its effects on the stability of the supply chain of banking services using the data of Iran's Mehr Bank. According to the sensitivity analysis, the sustainability policies of the bank service supply chain, including financial, social and environmental sustainability, were identified and the results were compared and analyzed, finally, the selected combined policies included:1-Managing 5% reduction in bank costs through agility processes and expenditure monitoring; 2-Increasing the efficiency of the validation process by 4 times; 3-Increasing the fee income of banking services by increasing the allocation 3 times to the development of electronic banking infrastructure; 4-Implementation of employee empowerment training programs;5-Proportionalization of the number of employees; 6-Increasing electronic services in order to increase access to the bank; 7-Appropriate location of branches and ATMs; 8-Awareness and promotion of electronic services were provided

Demand planning based on demand data in the supply chain includes the most significant steps in production planning. Therefore, the supply chain's correct demand forecasting may reduce this effect, known as the bullwhip effect or uncertainty concerning customer demand, thus reducing companies' and organizations' costs and surplus activities. Therefore, this article examined the statistical population characteristics to test the hypotheses through the path analysis drawn using descriptive statistics and FCM(fuzzy cognitive map)  method. Then, the model strength was investigated using structural equation modeling (SEM) in AMOS software, and structural equations were presented. This article selected the Aftab oil factory as a case study. The findings of this study emphasized that demand management performance is highly essential for industries. Companies can design the sector independently as a demand management sector for evaluating customer demands at different levels of the supply chain. According to the fit of the main model, CFI and NFI indices are equal to 0.99 and 0.97, respectively, which are close to the optimal fit threshold. RMSEA and SRMR indices are equal to 0.01 and 0.01, respectively, both showing a relatively good fit of the model.

The outbreak of COVID-19 has had a devastating effect on global health systems with a ripple effect on all aspects of human life, and the outbreak of this disease began as an acute global emergency on January 30, 2020. Different governments have implemented various strategies such as border closures, travel restrictions, and quarantines even in the countries that make up the world's largest economies, raising fears of an impending economic crisis and economic stagnation. Its pandemic had a significant impact on world economic growth, and estimates so far show that the virus could reduce global economic growth if current conditions continue and increase the risk of global economic recession by approximately 2% per month, similar to what will happen during the Great Depression of the 1930s. Therefore, it is important to identify the appropriate solutions for the market to be active and the economy wheel to move, so that these solutions can play an effective role in dealing with the spread of the coronavirus and increasing the public health of society while increasing the economic cycle. The present age is the age of communication and information. In this era, the use of the Internet is expanding and it forms an important part of people's lives. Nowadays, people use the Internet and virtual space for shopping, collecting information, having conversations, and many other activities. Meanwhile, social media are the most popular parts of virtual space for public use. Social media are a group of Internet-based tools that are based on the ideological foundation and web technology and allow users to create content and exchange it. Unlike traditional media that send a one-way message to customers, social media is an ideal tool for continuous and two-way conversations with customers. Social media marketing forces organizations to use social media applications to complement traditional business methods and offers them a new way of relational evaluation. Give It seems that due to the ambiguities and limitations in the field of social media marketing, medical equipment sellers do not take much advantage of this marketing tool in the conditions of the corona disease. At the same time, all the market players need to use new methods of income generation to face threats such as many consumers and buyers not visiting in person due to the fear of corona disease. In addition, despite conducting numerous types of research in the field of social media abroad, this important field of science in the market of medical equipment has been less investigated in the current conditions of the market and especially its corona conditions. . It seems that considering the internet penetration rate of 82.12% in Iran, it is necessary to investigate and solve the issue of social media marketing in the purchase of medical equipment in the conditions of corona disease, considering the existing foundations of the society; Based on this, this research aims to clarify the role of social media marketing in the purchase of medical equipment in the conditions of the corona disease with the foundation's data theorizing approach. With this method, the researcher intends to produce a theory that has a deep connection with the data. As a result of this research, with the aim of identifying, categorizing, and designing the development model of social media marketing in the purchase of medical equipment in the conditions of corona disease, with the approach of data theorizing, the foundation, with an emphasis on qualitative and quantitative evaluation, developed the development model of social media marketing in the purchase of equipment. Medicine deals with the corona disease, which is a basic and absolutely necessary field to deal with the field of social media marketing in the current market conditions. Therefore, the researcher seeks to design the development model of social media marketing in the purchase of medical equipment in the conditions of corona disease in order to improve the general health of the people of the society with two qualitative and quantitative approaches and to answer this question: the qualitative paradigm model of social media marketing in How is the purchase of medical equipment in the conditions of corona disease to improve the public health of the society?

The statistical population of this qualitative study included all academic experts and experts in the field of marketing, most of whom were members of the faculty of universities in the country, as well as experienced people in the field of marketing, especially the marketing of medical products and equipment. The statistical sample size was 25 people until reaching theoretical saturation through semi-structured Delphi interviews.

The results showed that the categories were identified in the form of 41 categories, 136 conceptual codes and 256 items (measures) and in the heart of the 6 structures of the paradigm model in the form of causal conditions (8 categories, 49 items, and 28 concepts), the main phenomenon and central: social media marketing in the purchase of medical equipment, (3 categories, 40 items, and 13 concepts), strategies (5 categories, 46 items, and 19 concepts), background conditions (8 categories, 49 items, and 32 concepts), conditions Intervenor or mediator (8 categories, 37 items, and 29 concepts), and consequences (4 categories, 35 items, and 15 concepts) were placed.

In general, it can be said that paying attention to the qualitative model of the development model of social media marketing in the purchase of medical equipment in viral crisis conditions can be a fundamental and necessary basis for dealing with the field of social media marketing in viral crisis conditions. Be in the market the use of social media has become a big social phenomenon as group applications, online tools, and technologies that encourage and enable participation, dialogue, free-thinking, creation, and socialization in a group of users. . Social media have several features in common. One of the most important features is that most of these sites rely heavily on user-generated content, where it is the users who largely determine the product offered by the company. Do The large customer base has made social media very popular not only among users but also among companies that use social media as a marketing communication medium. Marketing programs based on social media are usually focused on creating content that can attract the attention of users of social sites and encourage them to share the desired content on social media. In this way, the message of the desired company/person/organization is transferred from one user to another in the form of a chain.

With the advent of the Industry 4.0, the financial services business model will change. in order to succeed in the digital world of the future, banks must know the structure of their supply chain well and analyze the developments of this chain in the the Industry 4.0.Despite research in the field of digital banking, the issue of examining the evolution and recognition of the banking service supply chain in the the Industry 4.0 has been almost neglected. Therefore, in this article, with review of research and in-depth interviews with experts, the effects of the the Industry 4.0 on the supply chain of banking services were identified. The results showed that with the entry of banks into the Industry 4.0, new players, including fintechs, will be connected to the supply chain of banking services, followed by factors such as systematic sharing of information throughout the supply chain, inter-organizational cooperation, sustainability and transparency. Flexibility and personalization of services, etc. will increase and financial, information and service flows in the supply chain of banking services will change. the biggest distance between Iranian banks and digital banking is the lack of full use of artificial intelligence to automate all processes.

Today, new banking financial technology is very important in the world due to the widespread use of the Internet and information technology. The present study was conducted with the aim of presenting a model for accepting new financial and banking technologies. This study was performed in two parts: qualitative and quantitative. In the qualitative section, 15 experts were selected by judgmental sampling and saturation level as a statistical sample and interview. The interviews were analyzed by content analysis method and the categories of the model of acceptance of new financial and banking technologies were identified. Thus, 77 sub-categories, 16 main categories and 10 final documents were obtained from qualitative section analysis. In the quantitative part, a questionnaire of the identified categories was designed and given to 384 customers of banks and financial institutions selected by the Cochran's formula. The categories identified by Shannon entropy method were weighted and prioritized to identify the most important categories for the adoption of new financial and banking technologies. The results showed that the indicators of organizational strategies with a weight of 0.0231, creating speed in accepting innovation with a weight of 0.0222 and investment and challenges with a weight of 0.0222 are the most important among the other identified indicators.

Bank credits should be provided to support production and vulnerable groups in the form of small loans in small and home-based businesses, but most of the financial institutions' resources are spent on non-priority sectors. On the one hand, banks want to fulfill their social obligations by providing services in the context of social banking, and on the other hand, they want to maximize their profits, and for this reason, they are faced with a dual mission and financial conflict with small enterprises. And they must find a way to resolve this conflict. Therefore, in this article, while systematically reviewing research and in-depth interviews with experts, the role of social banking in reducing the conflict of financial interests between banks and manufacturing firms is analyzed. The results showed that with the bank moving toward social banking and fulfilling social responsibilities, the conflict of financial interests between banks and manufacturing firms through financing the banks, securing the financial benefits of enterprises, and, consequently, securing long-term benefits of all customers will be reduced.

There are specific frameworks and criteria for activity in the traditional and non-digital fields and also there are appropriate models for organizing the digital media activities and their branding in the majority of countries; nonetheless, the lack of appropriate, accurate, and efficient business models in the field of digital media and online activities in Iran has caused a lot of confusion. Consequently, no specific rights and responsibilities have been set even for those involved and employees in this field. This may facilitate the likelihood of unauthorized activities and prepare the ground for the violation of public rights. The purpose of this research is to design a digital media business model based on creating a distinctive brand in the Digital Media Lab Agency. For this purpose we will examine these two issues: how can the media business model affect value creation in the organization and what tasks (derived from the digital media business model) can become key factors in creating value.

Therefore, "interpretativism" paradigm was used in this research. Since detailed information will be used in this research and a general verdict will be inferred by examining the relationship between the components, and the observations focus on specific events in a sample of the media industry, the findings will be generalized to all members of the industry based on observations of events. "Inductive" research approach will be employed for this qualitative research, because it seeks to create a new theory and expand the knowledge regarding the digital media business model. The present research aims to explore the data collected through semi-structured interviews. Moreover, the data-driven theory method has been used in this research. The statistical population of the present study includes all the people active in the digital agency of the media laboratory. Based on the estimated statistical sample size, fifteen managers, experts, deputies, and members of the board of the Digital Agency of Media Lab were selected for this study.

The results of this qualitative study indicate that the design and implementation of media business model can help increase sales, intra-organizational interactions, and organizational productivity; it can also improve stakeholders’ satisfaction and the use of distinction in business processes. The present study includes the categories of intra-organizational knowledge and technologies in the field of business, sharing ideas, technology development in business, providing and receiving authentications to conduct business activities, and redefining the business model. In addition, digital media business model is categorized based on creating a distinct brand that includes classifying and exploiting the company's internal knowledge, acquiring companies and using their knowledge, as well as creating partnerships with customers and investing in ideas.

The results showed that the present study includes categories related to knowledge and intra-organizational technologies regarding business, sharing ideas, developing technology in business, obtaining permission to conduct business activities, and redefining the business model. Moreover, the following categories were classified: digital media business model based on creating a distinct brand, which includes categorizing and exploiting the company's internal knowledge, acquiring companies and using their knowledge, collaborating with customers, and investing in the idea. According to the findings, designing a media business model can increase external interactions and, consequently, increase sales. In terms of internal interactions, it can help increase company productivity and the satisfaction of those involved in the business processes as well as improve the utilization of distinctive business processes.

in the industry 4.0 the emergence of major technologies such as artificial intelligence and the Internet of Things has led to widespread changes in business models, with banks having a larger share of these developments. Despite the research done to change the business model in the Fourth Industrial Revolution, the issue of change in the banking supply chain in the industry 4.0, has been almost neglected.Therefore, in this article, after reviewing the research conducted in this field, in order to identify the influential variables and understand the existing relationships, using a fuzzy dimatel technique and system dynamics modeling approach, a dynamic model is presented, which with Drawing Circular diagram to help better understand the role of the industry 4.0 on the supply chain of banking services. The results show that the connection of new actors to the supply chain of banking services, cooperation between organizations, systematic sharing of customer information between partners, investment in the IT department of the bank and development of digital banking infrastructure by the central bank, respectively, have the most impact and trust. Through perceived usefulness and supply chain stability, it has the greatest impact on the model of the impact of the industry 4.0 on the development of digital banking.

Considering the formulation of general policies of the administrative system, development programs, etc., in the eleventh and twelfth governments, as well as the adaptation of these policies in institutions related to public health, the purpose of this study is to provide a conceptual model of dimensions, categories. Macro and basic is the evaluation of administrative system reform programs implemented in medical universities in Semnan province.

The research paradigm is an interpretation that was used with an inductive approach of the data theory theory strategy, in addition to the data obtained from the review of relevant texts, the opinions of presenters, observers and policy makers are also used; Thus, while analyzing the content of texts related to policy evaluation, administrative reform programs and documents related to the administrative reform program, snowball sampling was used to obtain the opinions of stakeholders. In this study, after interviewing 12 people in 37 sessions No new data appeared and theoretical saturation occurred.

 Extracting a systemic conceptual model from the administrative system reform programs of the first and second periods implemented in the executive bodies of Semnan University of Medical Sciences includes 280 basic concepts, 71 basic categories, 9 macro categories and six dimensions.

Current evaluation of administrative policy in the executive organs of Semnan province with characteristics; Method-oriented, goal-oriented, retrospective and focused on the implementation of the policy-making process that these results can be used in designing a comprehensive system of administrative policy evaluation of medical universities in Semnan province.

The main purpose of this study is to provide a suitable model for improving banking services based on a comparative study of behavioral sciences and consumer behavior with respect to the function of mem theory.

Mem is a hereditary theory and an idea, behavior, or method that is transmitted from one person to another through culture. Inheritance theories differ in the degree of adaptation and capability, that is, adaptation to the socio-cultural environment in which they are spread. More adaptable and more capable memes will be more successful in transmitting, spreading to more people, and thus spreading to a larger population. The concepts in this theory can be used as a model for cultural evolution. Therefore, this research was formed with the aim of providing a suitable model for improving banking services based on the theory of memes.

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.

In this study, the main factor to improve livelihood is supposed to be good governance and social capital and empowerment as are assumed as representatives of two socio-cultural approaches and development factors and knowledge management as a moderating variable that can improve governance and livelihood.

The research method of this study is analytical-descriptive correlational. The statistical population of the study is all retirees of the Armed Forces of Tehran. The number of samples was 384 and the information was obtained from simple stratified sampling. Then, using the structural equation method, the relationships between variables are examined. To collect the necessary data, a questionnaire was used. Convergence validity method was used to assess validity and Cronbach's alpha method was used to determine reliability. According to the alpha level of good organizational governance (0.894), social capital (0.816), empowerment (0.797), knowledge management (0.831) and lack of livelihood (0.747), the questionnaire has appropriate reliability.

The findings show that there is a significant relationship between social capital and empowerment with good governance. There is also a significant relationship between good governance and livelihood improvement but knowledge management has not been able to moderate this relationship.

Increasing social capital and civic participation among employees along with empowering human resources, by providing opportunities and opportunities for prosperity, strengthens good governance and further improves the living conditions.

The purpose of this study is to design a model to improve the livelihoods of retirees. In this study, the main factor in reducing poverty is the establishment of good governance with regard to the review of theoretical foundations, the authors have considered social capital and empowerment as representing two socio-cultural approaches and an approach to developmental factors and it is assumed that knowledge management is a moderating variable that can improve governance and reduce poverty.

This modeling study was conducted using a descriptive-analytic approach using quantitative and qualitative techniques based on theoretical foundations and previous studies. Considering the increase in the number of retirees in the country and the importance of the well-being of the corps that has been working for many years, The statistical population of the research is a small dimension of all retired armed forces in Tehran and in the Numerical section, professors with a Ph.D. Professional in Semnan city. In the Qualitative section, the views of 10 professors were used and it was determined in a small part of the sample number that equals 384 people. Information is obtained from simple stratified sampling the following is a survey of relationships between variables with the help of Structural Equation and Smarrt PLS software. A questionnaire was used to collect data and used to determine the validity and reliability of the pre-test. The convergence validity method was also used to assess validity and the Cronbach's alpha method was used to determine the reliability.

In this paper, instead of the classical approach to the multi-criteria location selection problem, a new approach was presented based on selecting a portfolio of locations. First, the indices affecting the selection of maintenance stations were collected. The K-means model was used for clustering the maintenance stations. The optimal number of clusters was calculated through the Silhouette index. The efficiency of each cluster of stations was determined using the Charnes, Cooper and Rhodes input-oriented data envelopment analysis model. A bi-objective zero one programming model was used to select a Pareto optimal combination of rank and distance of stations. The Pareto solutions for the presented bi-objective model were determined using the invasive weed optimization method. Although the proposed methodology is meant for the selection of repair and maintenance stations in an oil refinery Company, it can be used in multi-criteria decision-making problems.

Considering the concept of clustering, the main idea of the present study is based on the fact that all stocks for choosing and ranking will not be necessarily in one cluster. Taking the mentioned point into account, this study aims at offering a new methodology for making decisions concerning the formation of a portfolio of stocks in the stock market. To meet this end, Multiple-Criteria Decision-Making, Data Mining, and Multi-objective Optimization were employed. First, candidate stocks were clustered using two-step clustering method. Available stocks in each cluster were independently ranked using grey relational analysis. Firefly algorithm was employed for Pareto analysis of risk and ranking. The results of clustering in the stocks revealed that all candidate stocks were not placed in one cluster. The results of robustness analysis employed in ranking method verified the accuracy of calculations in the grey relational analysis through stock repetition of candidates in each cluster.

In the science of operation research and decision theory, selection is the most important process. Selection is a process that studies multiple qualitative and quantitative criteria, related to the science of management, which are mostly incompatible with each other. The multi criteria selection of a renewable energy portfolio is one of the main issues considered in multi criteria literature. In the present study to form a portfolio of renewable energy, first, the KOHONEN neural network algorithm was used, and theneachportfolio was evaluated usingmulti criteriadecision-making methods. Further, throughMeta heuristicmulti objectivealgorithms Pareto rankanalysis was conducted andsocial acceptance ofrenewable energy production methods was assessed. Finally, the portfoliofor studied energies was composed. Theresults indicated that Cuckoo SearchAlgorithmand Grey Relational Analysis are effective and efficient for the selection of optimalParetoportfolioofrenewable energy.

Project selection is considered as an important problem in project management. It is multi-criteria in nature and is based on various quantitative and qualitative factors. The main purpose of this paper is to present a new rank-based method for project selection in outranking relation. According to this approach, decision alternatives were clustered in the concordance matrix and the discordance matrix through the ELECTRE model based on intuitionistic trapezoidal fuzzy numbers. Then, the two matrices were integrated and ranked using grey relational coefficients and the Minkowski space distance. The results of the model were compared with grey relational projection method with intuitionistic trapezoidal fuzzy number. To illustrate the proposed methodology, a case study was conducted to select National Iranian Oil Company projects.