ali hajigholam saryazdi

 The historical area of cities is a valuable heritage that plays a special role in identifying urban life over time. Therefore, in the meantime, the historical knowledge of the constituent elements of cities their role in sustainability in the dynamism sustainability of cities is very decisive. Meanwhile, the market has long been one of the social important neighborhoods both economically and culturally, politically, socially urban.

In this article, by recognizing the market category its role in the development of the city, especially Islamic cities, to identify the factors affecting the old market in order to analyze the face performance of the market using qualitative analysis method based on documentary study MAXQDA software.

The results of this study showed that in previous studies, there are 9 main components including 91 different sub-components.These are: market characteristics, market architecture shape, urban landscape, the effects of the market being Islamic, Islamic market characteristics, market changes evolution, market location, market elements, market functions.The results showed that market functions include economic, political, religious, cultural, social, recreational communication functions. To perform these functions, market elements include various economic components of the market (shop, main  sub-order, sera (khan), household There were Qaisaria, Chaharsoo, Maidan, Jalukhan  Khojreh), mosque, shrine, school, water storage, Saqakhaneh, caravanserai bath.

In this paper, a new comprehensive model has been developed to guide organizations regarding the establishment of a productivity management system with all essential elements and relations. Using the knowledge available in the literature and expert views, this research has tried to propose an evaluation scheme to measure the maturity of the system in Iranian organizations.

Design/Methodology/Approach: 

This study is typically an applied-developmental research as it introduces a framework for the assessment of productivity management systems in Iranian companies (developmental) and also attempts to offer a method for solving or simplification the complex, chronic problem of productivity in Iranian businesses (applied). From another perspective, the current research should be regarded as a qualitative research approach that seeks to describe and explain the phenomenon of productivity management system maturity based on an analysis of both quantitative and qualitative data. The main strategy adopted in identifying conceptual elements concerning the productivity management system has been encoding. The primary signs of conceptual elements have been identified with a systematic search of databases containing scientific documents and reports on one hand and during interviews with experts on the other. The main concepts and categories about the topic have been extracted through a combination of homogeneous signs.

Four categories were identified in the encoding process (labelled as four modules of the productivity management system) and 18 concepts underlying such categories were included within the four modules. Then, 76 signs were extracted from the analysis of documents and interviews as peripheral aspects or features expected from the corresponding elements. Accordingly, the first step in the establishment of a productivity management system in an organization was to provide the infrastructures required for the managerial subsystem. Next, the main processes of productivity needed to be activated based on the available or generated infrastructures. In the third step, the appropriate measures had to be taken to guarantee the sustainability of the subsystem and ensure its constant growth and development. Finally, the impacts of the establishment of the productivity management system were expected to be evaluated to indicate the extent to which the attempts made have helped to meet the various needs of different groups of extra-organizational beneficiaries (including environmental activists and local community members).

Social implications:

 Constant enhancement of productivity as one of the most significant aims of any organization, requires the establishment of a series of factors and elements that make up an organization’s productivity biome, all the aspects and layers of which need to be shaped correctly. Such a requirement can be operationalized in an organization only through the establishment of a comprehensive productivity management system, a managerial system that has not been considered accurately and practically so far in the rich literature review concerning the subject of productivity. This study was conducted to eliminate this research and administrative gap and plotted the conceptual map of such a structure through the extraction of signs of the conceptual elements concerning the managerial system using scientific documents and interviews with experts. By developing organizations that perform their activities more productively, they are more successful in achieving their goals. Therefore, people will also benefit from the performance of this productive organization and will be more satisfied.

Originality/value: 

This study has proposed a conceptual map for productivity management systems through the extraction of signs of the conceptual elements concerning the managerial system using scientific resources and interviews with experts. It has also proposed a comprehensive model showing how the productivity management system could be established in an Iranian organization using procedural documents such as the administrative guidance developed by the National Productivity Organization. The validity of the model (referred to as i-MAPS) was confirmed through the formulation and administration of the evaluation logic for the measurement of the maturity of the system and its pilot implementation in some private and public organizations in Yazd Province. The maturity of an organization in the establishment and utilization of the productivity management system can be analyzed using the developed model. Besides, the measures can be taken based on instructions extracted from the model contents to increase the organization’s success in the roadmap and to overcome probable challenges and obstacles.

The city and urban management issues, especially the issue of doctors' concentration in an urban area, are inherently dynamic and complex due to the existence of different actors with different perspectives.
The current research has examined the issue of concentration of managers in Taleghani Boulevard of Yazd city by identifying and analyzing the interaction of key actors influencing the problem, which has different strategies and goals.
The research method of this research is based on the descriptive-analytical method and the data collection method based on documentary and field methods. In other words, the initial identification of actors and their strategies and goals has been done through library study (documentary method). Then, through group interviews with experts (field method), the completion of actors and their goals was discussed, and by using Mector method and software, these actors and their goals were analyzed in relation to the issue of concentration of doctors in an urban area.
The results of the research showed that among the 9 actors identified, although there is no dominant actor in this issue, traffic, police, patients and doctors are highly influential. Also, among the 7 identified goals and strategies, traffic reduction and access to parking have great sensitivity among actors.
Based on these findings, it can be concluded that in the short term, online scheduling with the participation of knowledge-based companies and doctors will reduce traffic, and with the establishment of a parking lot by the municipality on Taleghani Boulevard in Yazd, traffic will decrease. On the other hand, it was found that the qualitative method and case study are used in urban management studies.

The purpose of this study is to review and develop advanced strategies for using natural dyes in the art of handwoven carpet industry in the country. The current research is a descriptive-analytical type with an applied nature. The statistical population of this study includes 32 beneficiaries that have been purposefully identified and selected. Using the SOAR strategic model and Shannon's entropy method, information was collected via interviews and then analyzed, and strategies were developed to describe the organization's strengths, opportunities, ideals, and results. Based on the results from this research model, the strategies of using wastes, food waste, and agriculture industries as absorbents, and sources of natural dyes in handwoven carpet dyeing, strengthening and developing the cultivation of natural dyes, and optimal productivity in handwoven carpet production was introduced. The scores for benefiting techniques, new scientific methods in dyeing to enhance absorption and improve color stability are respectively 0.2209, 0.1652, and 0.1479. These effective strategies strengthen and develop natural dyes in the art of the handwoven carpet industry. 

Today, by advent of major changes in the economic –social environment of world, the air transport industry is also experiencing fundamental changes. This industry in Iran, because of severe international sanctions, increasing demand, need to develop better and more air transport, as well as long-term effects of aircraft manufacturing technology; has its own complexities. One of the planning requirements in any industry is corrected anticipation for future needs of the industry. To predict fleet needed to be considered required things such as economic growth, population growth, state of other means of transport, the existing fleet and how to provide the required Fleet. These combine to form a complex and dynamic system. Therefore, a suitable approach to predict the behavior of these systems is required. In this article, first identify dynamics of the industry and then predict the number of fleet required in air transport for Iran's aviation industry in1404. In other word, by modeling air industry and then validating model, we have discussed about behavior of airline industry's fleet number, under various scenarios. The following represents the output of simulation models: 1) the aviation industry demand is growing due to economic growth, population increases and the bad state of other means of transport; 2) In 1404 the number of aircraft required to per capita 3.4 times be 322 and 5 times is 428 fleets. Although the need for fleet and demand is increasing, but ultimately demand in the long-term is decline because of various reasons including limited Iran's market

The aviation industry is one of the strategic, technology-based, and capital-seeking industries. One of the most important challenges in this industry is proper financing. On the other hand, crowdfunding is one of the new methods of financing, which is based on Web 2. It has expanded today in various fields, including business and technology. However, due to its characteristics, this method requires proper design and adaptation to the intended industry to be implemented in a specific industry, so this article seeks to design a crowdfunding model in the aerospace industry. To design an appropriate model, first, a systematic review of the literature and empirical studies of crowdfunding platforms in the world and Iran was used, and then using semi-structured in-depth group interviews with experts to accurately determine stakeholders, models, and components of crowdfunding in The field of aerospace industry was addressed and the final model of mass financing for the aviation industry was designed. Findings showed that the crowdfunding model in the aviation industry has 5 stakeholders including platforms and social networks, founders, investors (funders), financial institutions, and legal and regulatory institutions. The components are involved in crowdfunding include law, project, campaign, benefits, communication, proximity, dissemination, and credibility.

The purpose of this study is to investigate the dynamic structure of the support system in the human resource structure of science and technology parks using systems dynamics and group modeling. This research is a mixed method research (qualitative and quantitative) and in terms of purpose, it is an applied research. In order to conduct the present study, using expert opinion in in-depth group modeling interviews, problem redefining as well as dynamic hypothesis and various models of system dynamics (including behavior diagrams over time, rich picture, cause and effect diagrams and flow) were designed. For this purpose, according to Winz and Gary (2007) from a group of 8 people whose members were purposefully selected, which included two managers from the park headquarters, two managers from technology companies, two employees from technology companies and two university graduates. The findings of this study were analyzed in the form of system dynamics modeling steps using Vensim software. The results of modeling led to the identification of three strategies for reducing park support along with the development of park services, the establishment of a center for evaluation and development of human resources and the development of institutions and educational processes of science and technology parks.

Given the increasing demand for dairy products and price fluctuations in the market in Iran, factories are looking for the proper allocation method of resources to produce each dairy product. Therefore, in this paper, by using the system dynamics approach, we analyze the dynamics of production and allocation of resources in a dairy factory.

By using the system dynamics approach, we analyze the dynamics of production and allocation of resources in a dairy factory.

The results showed that among the variables affecting production and allocation in the dairy processing plant, the price variable is one of the most effective factors and an important policy variable. On the other hand, two methods of price and fixed allocation were identified for both input sources (raw milk) and production capacity. The modeling results showed that price-based methods are more efficient than other methods. In fixed allocation methods - allocation capacity and price allocation - allocation capacity, the amount of production is more than fixed allocation methods - price capacity and price allocation - price capacity, but the income of products and total factory income is less, which is due to price reduction. In addition, because of the benefits of powdered milk, the factory is moving towards more production than cheese

This study uses system dynamics approach to design an allocation model and explain the effects of different policies in the dairy industry.

One of the most important factors in developing in science and technology parks is the understanding of human-organizational actions that are complex and dynamic phenomena. These actions are more important in the science and technology parks because of the focus of knowledge workers and the heterogeneity of human resources. Therefore, it is necessary to analyze these actions using valid theories and make the necessary planning accordingly. In this regard, this paper focuses on the theory of the dynamics of human-organizational actions derived from critical ethnography and using the systems dynamics. The name of this theory, which explains the effect and weaknesses of the organization's weak and evil forces on good and knowledge forces, and then on the whole organization, is the theory of dwarfism epidemic. This theory explains the behavior of some science and technology parks in Iran. After explaining the theory and constructing its model, simulating a model under various policies showed that when forces are effective based on performance evaluation in system change, the epidemic is weakened. In other words, the use of good forces by theories of organizational forgetfulness and organizational ignorance has a positive effect in the short run, but in the long run does not correct the behavior of dwarfism.

In the age of digital economy, the use of electronic devices and consequently e-waste has increased so that e-waste is considered as the fastest growing waste in the world. Also, these wastes, like other wastes, have a detrimental effect on the environment. Therefore, control of e-waste and planning for its recycling is a management problem at the national, global and environmental levels. In this research, using the system dynamics approach and using document model building (DMB) and reviewing the literature, the dynamics model is designed to identify the structure governing the generation of e-waste and its recycling and predict the amount of e-waste and the capacity required for its recycling. The results of the model showed that although the amount of waste and consequently its recycling has increased, this growth is limited and is S-shaped. However, recycling industries have increased revenues.

Assumptions play a big role in decision-making and policy-making. In other words, assumptions are one of the important components of the mental model that affects the identification, prioritization, and definition of the problem by affecting the type and amount of information received from the problem and also by influencing the model of analysis, analysis, solution identification, and prioritization. They influence decisions and ultimately affect the world around us (Real World). Thus, identifying key assumptions that have led to important decisions helps managers, decision-makers, and policy-makers to make better decisions and policies and correct mistakes. Therefore, this article aims to explain the role of assumptions in decision-making and policy-making by providing several examples of wrong assumptions (misconceptions) that have led to major policy mistakes. These examples are gasoline pricing, steel pricing, and companies' support of science and technology parks. In this article, by examining the numerical database, the policy mistakes were explained, and the governing structure was constructed using the opinion of experts. In the end, a suitable solution to prevent wrong assumptions is presented. The results of the article showed that assumptions by changing the mental model of individuals lead to wrong policies and decisions in various fields. Therefore, to make the right policy and decision, it is necessary to identify and review the assumptions through various means, such as using the opinions of a group of experts and correcting the assumptions.

In the present age, intangible assets such as branding, quality, technology, innovation, creativity, and knowledge capital are the source of organizations' competitive advantage. Organizations need to be able to create the right mental image of themselves in the minds of their community, customers, and employees to attract and retain motivated, committed, and talented human resources. Given the importance of this issue in science and technology parks as technology and knowledge-based institution, whose most important assets are knowledgeable people, this article seeks to use the system dynamics approach of dynamic relationships of brand promotion policy on human resource performance in the park. Examine science and technology and provide appropriate solutions to improve the structure, quality, and quantity at the level of parks and ultimately improve the performance of science and technology parks. In this regard, using the opinions of experts in in-depth interviews in group model building (GMB) sessions, the problem was explained and a dynamic hypothesis was developed and a qualitative model (cause and effect diagrams - CLDs) and a quantitative model (stock and flow diagram - SFD) were developed. The results of group modeling in this paper lead to the identification of three strategies to increase agility and performance flexibility through the development of revenue sources, development of national and international science and technology parks, development of communications, and the scope of influence and development of specialized institutions, Technology, and communication with industry/market.

Olive Industry is one of the most important industries. In recent years, there has been good planning for the development of this industry in different parts of the supply chain of agriculture and planting of olive tree to conversion industries. To develop industry, we need to estimate the supply and demand behavior of the whole supply chain in the longterm. Therefore, in this paper, using system dynamics, we analyze the dynamics of the olives industry in Iran. The olive industry supply chain has four main parts: olive cultivation and harvest; processing, production, distribution and consumption of olive oil; processing, production, distribution and consumption of table oil; and the cost of oil and table olive. The results of the modeling showed that it was 25 years to reduce the import of table olive and 40 years for olive oil and 60,000 hectares of cultivated land and required 20 processing companies. Also, The behavior of the model under various scenarios indicated that to increase the consumption of olive products, incentive policies in consumption should be accompanied by developmental policies of production, since the consumption is a function of price and price is a function of production. It was also found that the need for investment in land would be reduced by strengthening planting and harvesting technology. The model also showed that because of damage to olive, had to be compensated for by olive imports, so it was necessary to amend the ban bill on imports of olive.

As a strategic commodity, petrol has a profound effect on both government and society. Therefore, the government as the determinant of petrol price in Iran because of the petrol price changes have economic, political, social, cultural, environmental effects has always been challenged with respect to petrol prices. In recent years, various policies have been adopted, including gradual change, one-off change, and petrol sequestration, each with different consequences. On the other hand, the price of petrol is influenced by various factors as well. Therefore, it is essential to understand the structure of petrol pricing and price change policies in the country and its effects. For this purpose, the system dynamics approach is used as a holistic and dynamic problem solving method to model the structure governing petrol price and to investigate and simulate the effect of different policies on model behavior in this paper. The model simulation results showed that the gradual pricing policy was appropriate with the assumption that the dollar and petrol price did not change with inflation the year before and that the price stabilization policy was not appropriate.

The systems dynamics emphasize the participation of individuals in modeling as well as modeling evaluation. In recent years, participative model building methods have been developed, both individually and in groups, as well as crowd model building, which are based on the mass participation of people through the Web 2 and social networks. However, so far no systematic study has been done to evaluate the effectiveness and compare these modeling methods. On the other hand, in the development of modeling methods, especially crowd model building; special features and characteristics have been enumerated for each of them, which needs to be carefully examined by evaluating them. Therefore, this article seeks to systematically evaluate and compare the crowd and group model building. For this purpose, these two modeling methods have been studied through an online questionnaire. The results showed that the participants acknowledged the positive effect of crowd and group model building sessions in achieving the goals as well as the importance and usefulness of these sessions. However, the results showed that crowd model building is more useful in recognizing different dimensions of crowdfunding with a divergent view, dissemination of topics, and culture building in society, while group model building has been more useful in deepening peoplechr(chr('39')39chr('39'))s knowledge of the dimensions of crowdfunding with a convergent view, increasing the commitment of individuals. The results also showed that the diversity of individuals and the informal structure of the sessions have a significant effect on the success of crowd and group model building.

Science and Technology Parks and technology incubators lead to the resilience of technology firms by creating the necessary infrastructure and providing high value-added services. Various studies have differentiated the effects of technology parks and technology incubators and considered them to be influenced by the policies of these centers. Considering the particular policies of the IT incubators of Yazd Science and Technology Park and since some of the firms located in the park have been successful and stable and some other unsuccessful, the effect of incubator policies on the resilience of technology firms based in it was investigated in this study through the System Dynamics Approach. For this purpose, document model building (review of the literature) and group model building (interviews with several managers of the Information Technology incubator and firms located in it) were used to examine the firm-level resilience. The model simulation shows that the incubator's policies affect the performance of firms and it should move towards real evaluation instead of self-expression by the firms.

Science and technology parks are institutions supporting technology companies. The performance evaluation of technology companies will help them to improve their performance and make the park supportive services more effective and helpful. Performance evaluation is one of the most important priorities of Yazd Science and Technology Park. Therefore, the purpose of this paper is to design and explain a performance evaluation model of technology companies in this Park and analyze the results of its implementation. The evaluation model of Park is based on various performance evaluation models and theories, as well as through brainstorming with park managers and technology companies. This model evaluates the technology companies in four areas: nature of the company, structure and human resources, main idea and technology, and market. The evaluation process is designed according to both quantitative (documents and non-confrontational??) and qualitative (face to - face interviews) indicators. Then, based on this model, information of technology companies are collected and analyzed by an evaluation system. The results of evaluation showed that although the status of companies is far from the park's expectations and goals, it is acceptable in comparison with the community (province and the average of country) in terms of the value-added of manpower and the cost of employment. Also, the analysis of the results represented the validity and comprehensiveness of the model in assessing technology companies.

Considering the importance of knowledge management (KM) in current organizations; in this article, we have tried to find out attitudes and important points about knowledge management in Imam Ali’s (AS) Sire and provide some strategies to improve knowledge management in organizations and facilitate the implementation of it. In this article, based on the knowledge management cycle, we investigated in Nahj al-Balaghah & Qorar al-Hekam and Dorar al-Kalem, then the reinforcing and balancing Dynamism identified (Casual Loop diagram) and has been modeled based on System Dynamics approach. In the following, we tested the model then formulated and simulated it. In the end, based on simulated results, we suggested some strategies: identify Knowledge Separation Indicators, knowledge management strategy based on the need of the individual, moving towards creating a learning organization through the learning of each individual, Identifying barriers to knowledge sharing and its growth engines, developing an appropriate human resource training strategy.

Considering the problem of funding start-ups because of their nature, some entrepreneurs developed crowdfunding in which funding is done via the Internet and social network instead of traditional methods. Crowdfunding is a complicated and dynamic phenomenon due to the fact that it has many models with distinctive characteristics, numerous stakeholders with different intentions, interdisciplinary nature, and differences in various countries due to diverse cultural, social, economic and technological conditions of such countries. In addition, studies conducted on this method are not significant in number and they have been conducted in an exploratory and partial manner so as to offer a preliminary understanding. As a result, it is necessary to adopt an approach capable of understanding complex-dynamic phenomena so as to be able to explain crowdfunding. The present paper designs a system dynamics model of crowdfunding for support of new Iranian knowledge-based IT start-ups so as to highlight the complexities and dynamics of the method. The sources for the development of the model include relevant literature (document model building), public opinions (crowd model building) and experts’ viewpoints (group model building). The results of model simulation suggest that the revenue of the platforms in their expansion, the existence of monitoring mechanisms, evaluation, and screening in the platforms have a significant effect on increasing the attraction of investors and capital, but activity in social networks is not very effective.

Aviation technology parks aim to develop the aviation industry and the development of advanced technology, operate in Iran.. Due to needing for designing an appropriate model for science and technology park, and also because aviation technology park is a specialist park, as well as a new experience in Iran, so comprehensive look for designing technology park is undeniable. Hence, system dynamics approach has been selected. In this study, we extracted cause and effect model, by studying relevant literature, and using group model building. Based on model building, macro-strategies in order to designing parks was developed that include: Developing technology and product roadmap, working together new tenants with spin-off tenants which comes from large companies, creating communication network among industry, university and other stakeholders, Directing companies along with park purpose project, professional management, matrix structure for park, creating performance measurement system focused on completing the project, developing zoning and compliance mechanisms, creating technology management and transferring center, creating small clusters to complete the project, culture building, systemic management.

In recent years crowdfunding is created as a web 2.0 and social network -based on financing for business startups and creative projects. This method has grown in many aspects, such as the number of platforms, the number of campaigns and their success rate, the volume of funding and the number of models offered. This growth has led researchers to investigate this phenomenon of the different dimensions and aspects. So this article is followed by a comprehensive review of the literature associated with this method. In this study, we have done a systematic review of 60 published articles until 2017 about the concept of crowdfunding. The research findings have been summarized. Moreover, the research orientation pattern has been determined by identifying the focus of great attention. Also the existing research gaps and suggestions for future research in the field of crowdfunding identified and explained. The results of the survey showed that the number of studies carried out on this new method are not very high but are increasing. It is necessary for the researchers to study this method (phenomenon) with a comprehensive and holism approach, using a review of the views of its various actors, stackholders and costumers and extracting the factors influencing the success and failure of this method.

In recent years, in system dynamics society has increased attention to qualitative approaches. One method of extracting models of qualitative system dynamics has been many used is a Group Model Building. In this method, clients are involved in the modeling process. But it has not been systematically studied to assess the effectiveness of Group modeling. Systematically assess is important because the following reasons: 1) understand the impact of this approach on the customer and target organizations; 2) Enhance the effectiveness of a modeling process. In this paper we have evaluated a Group modeling that was used in the design of aviation Technology Park by a questionnaire was filled out by participants after modeling sessions. The results of this survey indicate that participants acknowledged the importance, usefulness and the efficiency of these sessions. Also in the regard of meetings, open discussion, external facilitator and meetings as a group, using cause and effect diagrams, images and graphics to visualize the process, meetings outside the office environment, using workbook and the clear instructions in the meetings are important. Participants Expressed the Informal meetings have been useful.

In recent years, in system dynamics society has increased attention to qualitative approaches. One method of extracting models of qualitative system dynamics has been many used is a Group Model Building. In this method, clients are involved in the modeling process. Based on Participants mental models are extracted key structures and latent variables in the system. In this regard, compare the group models with reference models from the literature can be a way to test and evaluate a model. And provide new insights. In this paper we evaluate and compare models of group modeling sessions extracted from the project "Designing Aviation Technology Park" with the reference model derived from the literature review, by using the distance ratio approach of three levels, including the elements, the causal loops and the full model level. As became clear from the results of this approach the MDR = 6.84 which indicates that the model as the reference model and the group models were similar. EDR and LDR values indicate between model elements and the loops level were similar. In conclusion we can say that the model is a valid model and the resulting models are consistent with other studies in the literature.

The most important support for knowledge-based start-up businesses is their financing, as the most important challenge of those businesses lies in the financing stage. With the advent of Web 2 and social networks, crowd funding has risen as the latest method of external financing. So far, many exploratory empirical studies have examined various aspects of this method mostly based on the features of advanced countries and superior crowd funding platforms in the world. Hence, it is necessary to study crowd funding and to develop the method in Iran too. This paper aims to provide propositions, crowd funding business models, and a typology of actors of this method in Iran by analyzing the exploratory empirical data obtained from active crowd funding platforms in the country. The analysis is conducted of the empirical data of five active platforms and 307 campaigns. The results show that the internal platforms, although recently launched, have been able to attract 24771 funders and to raise approximately 20,379,773,066 Rials. The success rate of crowd funding in Iran is 54 percent, and platforms with reward and donation models have the highest success rates. Since this paper is an exploratory study based on empirical data, only nine propositions have been made.

Problem definition is the most vital and important step in system dynamics approach. It is the basis for other steps of dynamic modeling and one of the main conditions in the effectiveness of modeling and its success. Considering its importance, there is scant literature on process of problem definition and attributes as well as indicators of dynamic problems. With aims to explain the problem definition, this article creates problem definition framework through the systematic and structured process by extracting the indicators and factors that determine a dynamic problem. At this point all the articles listed at the first two rounds of system dynamics research conferences in 1976 and 1981 and also 33 around of the system dynamics conference from 1983 to 2015 as well as the Journal of System Dynamics Review (SDR) and scientific databases include Elsevier, Wiley, Springer and Emerald were examined. Finally, a framework was designed with 6 indicators including structure of the problem, problem`s stakeholders, border of problem, problem complexity, dynamics and nature of the problem, which altogether consists of 24 indexes. A comprehensive framework for the diagnosis of dynamics problem is main finding of this paper.