فهرست مطالب محمود البرزی

Over fifty years have passed since the introduction of the information technology strategy. This concept has changed drastically due to variations in the basic concepts of strategy, both theoretically and practically. The present study is aimed to examine the historical process of the formation of this concept. Therefore, using the systematic review method and compendium content analysis, a comprehensive search was conducted on different databases. After refining the retrieved documents, they were classified into six categories: methodology of information systems, formal planning, IT strategic planning (including strategic alignment, searching and discovering IT opportunities in the domain of competitive advantage, IT portfolio management, and development of technology policy and architecture), IT capability development, IT micro strategy development and IT platform as a strategy. Then, by studying selected texts, conceptual codes were extracted in accordance with the problem question. The codes are categorized into different categories. Then, five concepts of IT strategy were identified based on basic theories related to each category: IT strategy as a plan, as supporting businesses, as a pattern, as a business transformer, and as a perspective. Results revealed that the two concepts of IT strategy as a plan and as supporting businesses are rarely studied nowadays. Few studies have focused on IT strategy as a pattern, including the experimental examination of the results of this concept in various organizational contexts and the investigation of dynamic capabilities. The concept of IT strategy as a business transformer focuses on the integration of business strategy.

The aim of this study was to provide a model of supply chain management enablers of government agencies with a causal mapping approach. This study is based on interpretive philosophy and with a research approach in soft operations. This research has been done in terms of purpose, foundation and in terms of nature and form of implementation as a cross-sectional survey.

In the first step, previous research has been used to identify the factors; In the second step, the causal mapping method is used to present the pattern of factor relationships. Data analysis was performed with UCinet5 software and NetDraw6 software. The statistical population of this study includes experts of government agencies who have been selected by purposive sampling. Data collection tools are taking notes, interviewing and holding workshops. To achieve the objectives of the research by analyzing interviews with experts, a set of supply chain management indicators were identified.

Based on the network model of supply chain management indicators in government agencies, 19 categories and 294 relationships have been identified. The Senior Management Support Index is at the heart of the cluster model relationship. Government support along with senior management support in government institutions can pave the way for achieving supply chain management goals. In addition to these factors, the IT infrastructure in the organization must be available and the strategic path of the supply chain must be determined.

Among the types of supply chain risks disruptions are risks that resulting from natural disasters, sanctions, transportation problems and equipment failure.
These risks can seriously disrupt the flow of materials, information and cash flow. This study proposes a hybrid model for managing, evaluating and rating disorders. In this research, by presenting a mathematical model with disruption parameter, supply chain disruption risk assessment is investigated. Initially, the relationships between the disturbances are formulated by fuzzy DEMATEL technique, and the DEMATEL output as a weighted parameter, and then the model is solved using meta-heuristic algorithms, genetic and local search methods. Finally, the disruptions are evaluated and ranked based on the costs incurred in the chain, and then the number of appropriate suppliers for each disruption is determined.

Startups as a new model of business development, have been considered by governments and investors around the world. Also startups have played an important role in economic development of countries. The success rate of startups around the world is low, so in recent years efforts have been made to identify the factors behind their failure and success. The purpose of this article is to investigate these factors in the Iranian business ecosystem by conducting interviews with activists in this field. In this research, By conducting 25 interviews, 7 general categories, 32 categories and 87 concepts were extracted. General categories include having the suitable business model, fund-raising and support, Analyze and managing the market, the founder's managerial ability, product / service characteristics, team characteristics, and legal issues. The results show that a number of effective factors, are independent of the society hosting business and also have been mentioned in numerous global studies, but a number of others are depending on the culture and conditions of the society. So in order to improve the performance and success rate of startups, in addition to global efforts in this field, it is important to know the culture and community-related factors

This research was done with the aim of providing a dynamic model of factors affecting the effective implementation of the civil service law in the field of human resources measures.

The research approach in terms of method is mix method.  In the qualitative part, with the theoretical sampling method, 46 scientific documents in the field of civil service law and implementation of public policy were content analyzed and effective factors in the implementation of civil service law in the form of three main dimensions, 29 components and 108 indicators after screening. Two rounds of fuzzy Delphi were explained with the participation of 11 experts. The statistical population of the quantitative part includes executive and academic experts who are proficient in the civil service law, which are 11 informed and knowledgeable experts in the field of non-probability (targeted) sampling in the form of a snowball. Civil Service Law were selected and their opinions and views were used in order to screen the research indicators in Delphi technique and analyze the trend of influential variables in the design of the dynamic model of effective implementation of the Civil Service Law in the field of human resources in the Venzym software environment.

The dynamic analysis of the variables showed that the accumulation variables include infrastructure, government, society, organizational structure and human resources. Flow variables also include human and financial capacities, organizational strategy, political factors, legal, cultural and social factors, recruitment and employment, service compensation and improvement of human resources, and by extracting the flow chart and simulating data over 5 years, Four dynamic hypotheses were presented for the effective implementation of the civil service law.

Originality:

 In terms of concept, for the first time with a qualitative and comprehensive approach, the factors affecting the implementation of the civil service law in the field of human resources management are explained, and in terms of methodology, modeling using the system dynamics method in this field is another new aspect. in this research. In terms of practical value, this research, by identifying the important feedback cycles of intervening factors in law enforcement, by presenting a scenario, has provided the context to pay attention to strengthening positive circles and planning to break negative reinforcing circles in effective law enforcement.

The belief of the stakeholders who provide tourism services in the destination plays an important role in the sustainability of destinations. The values ​​of variables affecting these beliefs are always ambiguous and the causal relationships between them are uncertain. If we want to consider the reality of the dynamics in their opinions, the complexity of the issue will increase. For this purpose, we used fuzzy logic, Bayesian belief networks and opinion dynamics models. It is implemented on the data of Iranian stakeholders with the aim of attracting Chinese tourists. The data was collected by the questionnaire during the years 2019, 2020 and 2021 and is related to 540 stakeholders. Finally, not only an agent-based simulation is provided to visualize trends and how they evolve or co-evolve, but the possibility of predicting defective and desirable trends is provided to prevent or strengthen them, respectively.

One of the important issues that organizations face is the issue of effective decision making in different stages of the organization''''''''''''''''''''''''''''''''s activities. It is the right or wrong decision that determines the survival or death of the organization and in today''''''''''''''''''''''''''''''''s world determines the fate of the organization. Because of the importance of decision making in organizations, the need for methods to evaluate the effectiveness of decisions in organizations increases. Therefore, in this research, a comprehensive model for measuring the effectiveness of decisions is presented through an extensive review of the subject literature using the theme analysis method. After identifying the indicators of effective decision, questionnaires were designed and distributed among a group of experts in the organization who were selected by purposeful judgment, and based on their opinions, the model for evaluating the effectiveness of decisions in three consecutive stages using the Delphi method. Fuzzy was finalized. The model has 1 dimension, 4 components and 24 indicators and can be used as a suitable framework for evaluating the effectiveness of decisions made in different organizations. Finally, in order to determine the appropriateness of the proposed model and its compliance with the needs and requirements of each organization, using the Mikhailov hierarchical analysis method, the coefficients of importance of each of the dimensions and indicators in the model in the Mashhad Social Security Organization And the results were reported.

Organizations are trying to improve performance in providing smart services. An intelligent Q&A system is a virtual assistant that is able to interact with users. The purpose of this article is to investigate whether the characteristics of the Q&A system can improve the performance of the tax organization.

First, the question and answer system on the web platform is provided to the taxpayers. The tool used to evaluate the components and sub-components was a researcher-made questionnaire. Formal validity measurement tool was used to assess the validity and Cronbach's alpha calculation method was used for reliability. Using Cochran's sampling formula, 384 taxpayers were determined as the statistical sample size. The data are then analyzed by modeling the structural equations of least squares to evaluate the model.

Features related to intelligent question and answer systems have a positive effect on improving organizational performance.

This study shows the importance and positive effect of organizational investment in accepting factors related to service intelligence and the effects of new technologies based on artificial intelligence to strengthen the client-organization relationship.

The alignment of marketing and business strategy and their relationship with the organization’s financial performance are research domains which are still investigated despite having a long history. This is due to the different aspects of the topic and the different results in various organizational contexts and time periods. Although marketing and business plans are similar, there are differences between their characteristics. The present study attempted to analyze the relationship between the alignment of marketing and business strategies with the organization’s financial performance in a five-year period from 2014 to 2018 in a group of companies registered in Tehran Stock Exchange. The configuration theory in strategic management was used to develop the conceptual model. The marketing strategy was divided into the configurations of aggressive, mass, minimizer, and value-related, and the business strategy was divided into the four configurations of prospector, low cost defenders, differentiated defenders, and analyzers. Research hypotheses involved the relationship between the combination of configurations and the organization’s financial performance. One of the well-known tools for identifying marketing strategy is the self-typing paragraph approach. The Miles framework was used to identify the business strategy. To measure the performance, a questionnaire was used with six factors including sales growth volume, market share status, net profit growth status per share, operating profit margin status, net profit margin, and P/E ratio. The list of the Iranian stock exchange companies was used to select the companies. These companies were filtered based on three conditions. The first condition was the existence of an independent marketing department in these companies, the second condition was the existence of a competitive or semi-competitive environment, and the third condition was the companies’ lack of a joint venture investor. Thus, 108 companies cooperated with the research. First, marketing and business strategies and organization’s financial performance were identified. Then, the companies were divided into two groups including aligned and non-aligned groups. After that, the mean test was used for the statistical comparison of the performance of the aligned and non-aligned states. As the results revealed, the mean performance of the aligned states significantly differed from that of the non-aligned states. In the field of marketing strategy, the post hoc test showed that the mean performance of the aggressive strategy was higher than in other strategies. The value-related and mass strategies had a higher mean performance than the minimizer strategies but were not different from each other. In the field of business strategy, the prospector strategy and the differentiated defenders had higher mean performances than the low-cost defenders and analyzer. In general, the statistical results rejected the equality of mean performance in different combinations of business and marketing strategy.According to the research findings, four bodies were identified. The first body was the combination of the low-cost defenders with the minimizer strategy. In this body, the company's main focus was on maintaining the market share. These businesses reduce their risks by delaying the introduction of the product in the market until the product is established by others in the market. Adequate quality, low price and very wide distribution strategy are pursued by them. They generally focus on the product line and use the least amount of professional marketing staff. The second body was the combination of the differentiated defenders with the value-related strategy. In this body, the ratio of operating profit to sales was high. Also, the integrated chain of communication with customers was active, and the company used a relatively conservative and somewhat risky approach to activities. The company paid only some attention to market share and focused on maintaining the market. The company paid attention to capacity building, as compared to its competitors, and implemented the market-product strategy. The company considered its marketing strategy combination to be innovative, and high-quality products and the main value were in close relationship with the customer. They conducted mediocre marketing research and generally demanded a fair price. Their distribution strategy was somewhat selective, and they used moderate advertisement. In fact, the focus was on customer orientation, and there was a tendency for niches markets. The Third body was the combination of the analyzers with the mass marketing strategy. In this body, the ratio of the operating profit to sales was high. Also, an integrated chain of communication with customers and suppliers was active, and the company used a relatively conservative view. The company paid some attention to market share and focused on maintaining the market. There was a lot of focus on market-product strategy, but serious attention was also paid to cost reduction. The company was dominated by the engineering-oriented view. An extensive data analysis was performed every day for optimal decision making and long-term planning. These businesses generally produce high-quality products that follow market innovation and use very wide distribution channels. The fourth body was the combination of the prospectors with the aggressive strategy. In this body, the operating profit margin was taken into consideration, the integrated chain of communication with the customers and suppliers was active, and the company used a very risky view. The company paid serious attention to the market share. It was a leader in terms of innovation, diversity and capacity development, compared to its competitors, and fully implements the market-product strategy. The development of new markets was a priority and the company had an entrepreneurial outlook. These businesses usually produce innovative and high-quality products, and have a very close relationship with the customer and conduct a very extensive marketing research. This research is done to identify and encourage market segments where buyers tend to pay high prices. Buyers in these markets are selected with a selective distribution strategy and are contacted with through intense and focused advertising. These results indicate the proximity of marketing and business strategies and the direct effect of marketing strategy on the organization’s performance. The research contributes to managers’ knowledge of successful and high-performance alignments. Therefore, organizations can intensify marketing activities and reinforce their alignment skills.

The oil industry is one of the most significant strategic industries in countries with oil reserves. For this reason, politicians desire to know how to choose a condition with maximum exploitation but minimum cost. In recent years, most of the experts have been paying attention to intelligent oil fields owing to their advantages. Intelligent oil fields and operational integrated systems can reduce the number of drilling operations and as a result, lower the costs of drilling. On the other hand, intelligent equipment will decrease water production from the field, improve the quality of the produced oil, and reduce the costs of water production. This paper focuses on generalizing production data values and exploitation costs of the oil field, from the conventional field to an intelligent one. To this end, a model of the system dynamic was developed in VENSIM software to assess the effective factors on intelligent oil fields, the value of reducing water production, and lowering drilling cost in the intelligent state. Eventually, it was found out that the costs of drilling and water production are dependent on the price variation of each oil barrel, the percentage of the lack of equipment, and the power of current suppliers. The variation of each factor has a remarkable effect on the costs of drilling and water production with oil.

The advancement of technology and its impact on organizations has complicated the decision-making process; as a result, ethical decision-making has become a vital discourse in information technology organizations. This empirical study is an attempt to present a model of individual ethical decision-making in the area of information technology with an emphasis on big data. We used ethical scenarios and conducted quantitative methods to analyze data that were collected from 163 IT experts. Results show that the variables "locus of control and ego strength" affect an individual’s ethical behavior and "self-esteem and self-efficacy" affect "ego strength". Moreover, the variable "perceived probability of disclosure", which has been proposed by authors, has an effect on ethical intention. We conclude by stressing practical solutions to reduce ethical risks.

Customer retention is one of the most important issues of any organization and finding a way to retain and maintain the customer is one of the critical needs of any organization. The main purpose of the present study in the field of machine learning is to focus on the problem of correctly identifying customer needs with a method based on extracting opinion and sentiment analysis and quantifying customers' sentiment orientation. In the other word, the main issue is to design a Recommender System to provide appropriate services in accordance with customer satisfaction, sentiment, and experiences. The proposed method is that customers' opinions and experiences are obtained by evaluating tweets containing hashtags with the titles and headings of banking services as statistical population, and after revision, it results in providing correlation scores in terms of people's sentiment score due to the tweets, cosine similarity and reliability, consideration of relevant characteristic groups as well as recorded ideas in the training and testing process, in the form of submitting personalized offer to receive banking services. In order to represent a recommending solution, suitable classification methods are used along with opinion mining methods and proper validation approach as well, and the terminal designed system with a little error will take steps to provide personalized services as well as help banking system. Since there is no thorough provision of banking services tailored to the customers’ situation, so in this regard, the mentioned system will be extremely beneficial.

Customer retention is an important issue for any organization, so finding a way to retain the customer is one of the critical needs of any organization. In this regard, the goal in the field of machine learning is focusing on the problem of accurate customer needs with a method based on extracting opinion and sentiment analysis and quantifying customers' emotional orientation.In the other words, the issue is designing a recommender system to provide appropriate services to customers, using their opinions and experiences. The proposed solution, by receiving and reviewing customers' opinions and experiences in the form of extracting variables such as user sentiment score for tweets, relation score, cosine similarity, and confidence factor, and considering groups of relevant features and registration ideas in the process of training and testing, the result is presented in the form of a banking service suitable offer. In order to provide a recommending solution, appropriate classification methods are used along with opinion mining methods and an appropriate validation approach, and the final designed system with a small error, in order to provide personalized services, will step in to help bank managers.Since currently there is no complete provision of banking services tailored to the situation of customers, so in this regard, this mentioned system will be very helpful.

Technological innovation in the financial industry created the financial technology ecosystem. With the advent of artificial intelligence, the technology and financial worlds are intertwined to allow smarter financial processes to enable managers to make smarter decisions. It is not a fixed method of using the machine and accurate prediction of the test results using the machine algorithms is challenging. Much research has been done on the specific management of the customer experience, but research on financial technology in the artificial intelligence and machine industry in the sense of constructing a theory that can create a customer experience is a subject that pays less attention to. . This article, by reviewing 75 articles and summarizing it in 41 research articles, has examined the subject of the present study. In order to predict the presentation of theory, research method is a fundamental theory. The purpose of this article is to cover the gap of studies through which a research path is studied and the field of financial technology and artificial intelligence is examined. Findings show that what is done in extraordinary networks can be divided into five main parts of innovation. The findings provide a good way to address some of the issues in financial and artificial technology research for knowledge management experience through the possibility of providing a customer performance model.

The possibility to renewal of loan contracts in Iran may lead to the identification of fictitious profits by banks and ultimately lead to a banking crisis and disruption of the country's monetary system, so to prevent banks from reaching the stage of this, Measuring customers' credit risk is essential. The aim of this study is to increase the accuracy of customer accreditation using the structure of hybrid models and has been done as a case study on Mellat Bank. In this regard, 14 learning models were compared with each other and their ability to validate customers was determined. Learning models show that based on both accuracy criteria (success rate) and measurement F (harmonic mean between accuracy and recall), the combined learning model (KNN-NN-SVMPSO) - (DL) - (DBSCAN) with an accuracy rate of 99.90 is the highest It has more performance than other basic and hybrid models. Also, using the principal component analysis (PCA), Gini index, interest rate ratio (IGR) and interest rate (IG) methods to calculate the weight of features and their average rank, it was shown that features such as collateral, The type of collateral and the amount of facilities have been the most important features in distinguishing good from bad customers, respectively.

Focusing on the diversity of human capital in organizations and its possible role in the effectiveness of the compensation system, the purpose of this study was to predict the effectiveness of the compensation system for various types of human capital in Police Force of Qazvin Province.

The present research is descriptive, and it is applied in terms of purpose. The statistical population of the study includes 53 senior, middle, and operational managers of Qazvin Police Force, of which it was possible to access the opinions of 46 of them. The assessment tool was a questionnaire. In order to analyze the data, network analysis methods and fuzzy inference system were used.

According to the results, the effectiveness of the service compensation system varies according to its types of human capital. Priority of the elements of compensation for core human capital included perquisites, rewards, salaries, benefits, welfare services, awards; for idiosyncratic human capital: salaries, benefits, perquisites, rewards, welfare services, awards; for compulsory human capital: salaries, benefits, welfare services, rewards, awards, perquisites; for ancillary human capital: benefits, rewards, salaries, welfare services, awards, perquisites respectively. Also, the evaluation of the model in the police force suggested that the most observed effectiveness belongs to compulsory human capital.

The most important achievement of this article is designing an effective compensation system in the Police Force, which will dynamically determine the amount of output based to the amount of inputs. This model can be used to predict the effectiveness of the service compensation system.

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

Business intelligence systems has become a vital part of organizations during the past several years. Pragmatically, there is limited research investigating the impact of using this system on coporate financial performance. The results of This researchs are also contradictory. This paper develops a model based on balance scorecard approach. The research data were collected from 82 private and public corporations that implemented BI system. The proposed relationships between constructs were tested by structural equition method. The results indicate that the financial performance of the organization does not improve directly through the acceptance of the business intelligence system. Indeed, system acceptance improves the performance of internal processes, customers, and organizational learning, and consequently indirectly improves financial performance. From practical viewpoint, the acceptance of this system makes achieving tangible financial benefits in terms of improving process performance, customer and learning. Therefore, financial performance is the last advantage of using this system.

Considering the importance of the issue of effective implementation of macro-administrative policies, this study was conducted with the aim of presenting a model of factors affecting the effective implementation of the Civil Service Law in the field of human resources. The main tools of data collection are taking notes in qualitative stage and questionnaires in quantitative stage. By analyzing the content of research conducted in the field of implementation of the general policy of the Civil Service Law, a model with three main dimensions and 9 sub-dimensions including process (employment and recruitment, training and improvement, service compensation), structure (strategy and policy, structure, resources and infrastructure) and underlying factors (government-regulators, socio-cultural, political-economic), 29 components and 108 post-screening indicators were presented in two fuzzy Delphi rounds with the participation of 11 knowledgeable experts in the field of civil service law. The results of the significance-performance analysis of the model variables indicated that the variables of depoliticization of the implementation environment, communication and freedom of action, observance of competence, policy implementation tools, infrastructure, comprehensiveness, coherence and adequacy, budget, financial and economic support, regulated recruitment, empowerment, financial capacity, aid and support, review and oversight, technical systematization and executive guarantee are in the weak zone

Social responsibility is a mechanism through which organizations are obligated to use their resources to secure the interests of the society and to improve public welfare. The aim of this research is designing a 3D model of social responsibility for public organizations in Iran. In the first step, using Delphi method, collecting experts’ opinions, and taking the national conditions into consideration, a number of components of social responsibility were identified. They consisted of accountability, economics, respect for cultural-social dignity, observing people’s rights, environmentalism, and finally, respect for spirituality, Islamic values, fairness and justice. In the second step, compatibility was established between the degrees of organization’s ethics and its public issues strategies, and the degrees of the impact of each social responsibility items were identified. To analyze the data, fuzzy inference system was employed. Results show that the impact of ethical approach on social responsibility is upward and positive.

Nursing informatics is effective on the optimal use of technology and health promotion. Using the experiences of successful countries in this field, can facilitate the improvement of nursing care quality. The purpose of this study is a comparison of nursing informatics development factors in Iran and leading countries.

The present study was conducted in a descriptive-comparative study in 1398. The leading countries in nursing informatics were selected by determining the top countries with the highest number of articles published in the field of nursing informatics. Research steps were based on Rosswurm and Larrabee’s Conceptual Model. The principles of the TIGER international project as indicators were reviewed in the literatures of Iran and selected countries and compared with the comparative matrix.

The results showed that Iran with 15 years of activity in the field of nursing informatics is new and the United States with a history of 60 years of activity in this field has been the most pioneer. In terms of development factors of nursing informatics, Iran scored the lowest activity in the comparative study compared to the countries surveyed, including the United States, the United Kingdom, Canada, Australia and Taiwan. Iran is not in a desirable position compared to these countries in terms of indicators of management and leadership, education and training, communication and cooperation, informatics design, information technology, policy-making and culture in nursing informatics.

Considering the importance of using information technology in nursing, providing national empowerment programs for nurses can improve the useful use of information tools in order to improve the quality of nursing services and the outcome of health care.

The purpose of this study; was studying of hierarchical analysis of the supply chain optimal model in Iranian government agencies.After reviewing the research background as well as interviewing the experts, the four main components; Individual factors, organizational factors, supply chain process and rules and regulations for research modeling were identified. In this study, using Delphi technique, the criteria were classified as sub-criteria of the study. Then, using structural equations, the relationship between components and sub-components with each other and also their impact on the supply chain in government agencies were evaluated. Finally, different models were investigated using system identification dynamics. The results of estimating structural equations showed that organizational factors with a coefficient of 0.901 have the greatest effect on the supply chain. Other results also showed that the rules and regulations and the supply chain process have a significant effect on the supply chain, while individual factors do not have a significant effect on the supply chain. The results of evaluating the score model using the AHP method showed that reliability with a score of 0.301 has the highest score among other components. Measures of supply chain agility with 0.226, supply chain costs with 0.191, supply chain asset management with 0.180 and supply chain accountability with a score of 0.102 are in the next priorities. In the section on system identification dynamics, dynamic hypotheses, causal relationships, and flow-state were also examined.

This paper presents a method for improving steganography and enhancing the security using combinatorial Meta-heuristic algorithms. The goal is to achieve an improved PSNR value in order to preserve the image quality in the steganography process. Steganography algorithms, in order to insert message signal information inside the host data, create small changes based on the message signal in the host data, so that they are not visible to the human eye. Each cryptographic algorithm has two steps: insert a stego signal and extract it. You can use the area of the spatial or transformation area to insert the stego signal. Extraction can be done using the correlation with the original watermark or independently of it. Clearly, the choice of insertion method and how to extract are interdependent. In spatial techniques, information is stored directly in pixel color intensity but in the transform domain, the image is initially converted to another domain (such as frequency), and then the information is embedded in the conversion coefficients. Using optimization algorithms based on Metahuristic algorithms in this field is widely used and many researchers have been encouraged to use it. Using a suitable fitness function, these methods are useful in the design of steganography algorithms. In this research, seven commonly used Metahuristic algorithms, including ant colony, bee, cuckoo search, genetics, Particle Swarm Optimization, Simulated Annealing and firefly were selected and the performance of these algorithms is evaluated individually on existing data after being applied individually. Among the applied algorithms, cuckoo search, firefly and bee algorithms that have the best fitness function and therefore the highest quality were selected. All 6 different modes of combining these 3 algorithms were separately examined. The best combination is the firefly, bee and cuckoo search algorithms, which provides a mean signal-to-noise ratio of 54.89. The proposed combination compared to the individual algorithms of optimization of ant colony, bee, cuckoo search, genetics, Particle Swarm Optimization, Simulated Annealing and firefly, provides 59.29, 29.61, 37.43, 52.56, 54.84, 57.82, and 3.82% improvement in the PSNR value.

This paper attempts to use VSM as a design and diagnosing tools in the banking systems that are at the risk of losing their business because of dynamic changes in their business. Rapid changes in today complex environment cause organizations at the risk of bankruptcy. Systematic action research did at one of the major banks in Iran. According to VSM subsystems, the diagnostic results show some failure detected for adaptability in this bank. After diagnosing, the model of the viable banking system proposed