حسن دهقان دهنوی

The purpose of this research is to evaluate the performance of organizations and municipalities of Shahrized based on balanced scorecard and fuzzy inference system.

In terms of practical purpose and in terms of data collection,this research is analyticaldescriptive from the survey branch.The statistical population of the research is1176managers and employees of5districts of the municipality,the central municipality and10organizations affiliated to the municipality of Yazd city.Cochran's method was used to determine the sample size in the structural equation modeling section.According to Cochran's formula,290people were selected as the sample size.In order to collect information from the electronic balanced score card(BSC)questionnaire(1400),including dimensions,financial,growth and Learning,internal processes and customer orientation were used,which has21items and is based on a5point Likert scale.To check the reliability of the first questionnaire,Cronbach's alpha method was used by SPSS software and the value of Cronbach's alpha was0.881The second research questionnaire was based on The system method is fuzzy inference.

Structural equation modeling(SEM)was used to analyze the information obtained and confirm the balanced scorecard model by SmartPLS3software,and the findings showed that the proposed model of the balanced scorecard and four financial factors,customer orientation,and internal processes,growth and learning are approved.

two factors of internal processes and customer orientation had the greatest effect(betacoefficient)in confirming the model.In order to evaluate the organization's performance,a fuzzy inference system under the software(MATLAB)based on four inputs(balanced scorecard factors)and one output(organization performance)was designed and then validated and compared with the average opinion of experts.Considering the previous results,the system It has high accuracy.

The present study aimed to perform a thematic analysis of factors influencing the development of an agile electronic entrepreneurial organization evaluation model and to determine its desirability using the diagnostic analysis technique. This research employed a mixed-methods approach, encompassing both qualitative and quantitative components. The qualitative population consisted of managers from Bank Saderat, from which 19 managers were purposively sampled. The quantitative population included all senior, middle, and operational managers of Bank Saderat. Since the exact size of the statistical population was unknown, a convenience sampling method was used, and based on Cochran’s formulafor indeterminate populations, a sample size of 384 individuals was determined. Data collection tools included semi-structured interviews and a researcher-designed questionnaire. The qualitative section of the study employed thematic analysis and groundedtheory, while the quantitative section utilized the diagnostic analysis technique. All qualitative data analyses were conducted using Maxqda software, and quantitative analyses were performed with SPSS24. The results revealed that three variables had the most significant impact on distinguishing organizations in evaluating agile electronic entrepreneurial organizations. These were the organization's lack of attention to continuous improvement, lack of social outcomes, and lack of effective internal and external communication. As the findings showed, the most important variables affecting the evaluation of agile electronic entrepreneurial organizations included social dynamism, social outcomes, and the existence of effective internal and external communication. The variables of social dynamism, proper internal and external communication, and alignment of agile electronic entrepreneurial organization evaluation with organizational strategy and structure played the most critical roles in the evaluation process.Ultimately, based on real data, 24 organizations achieved high success in evaluating agile electronic entrepreneurial organizations. According to the diagnostic model, the status of 21 organizations was correctly assessed, while three were inaccurately classified.

The main goal of this research is to draw and analyze scientific maps of international researches that are indexed in the reliable Web of Science database in the field of sustainable development and new products. This study, which is a type of systematic review studies, aims to describe the existing knowledge and introduce the trends and future direction of science in a cross-sectional manner and through library studies, and has an exploratory approach, using scientometric indicators and network analysis, authored by countries and Vocabulary occurrence based on social network analysis indicators has been done. The indexed articles in the time period of 1985 to 2024 in the subject area and with a suitable search strategy to obtain maximum sensitivity and minimum irrelevance and improve the validity of the research led to the formation of a statistical population of 497 articles, and after three screening stages, 457 articles were finally included in the analysis. It was finalized and VOSViewer software was used to analyze the scientific maps. The research findings, in addition to introducing the most important keywords, active researchers and research cradle countries in the investigated field, showed that the research process regarding sustainable development and product development in the future will move towards concepts such as sustainable design, cost-effective innovation, entrepreneurship and leadership. Kurds and managers interested in exploiting the results of scientific research can take a clear path towards the realization of sustainable development goals with a comprehensive view of a significant range of variables involved in product development.

The primary objective of this article is to identify and rank the indicators of entrepreneurial development with an industrial employment approach for university graduates using the meta-synthesis approach. The statistical population of this research consists of experienced managers and experts in the field of entrepreneurial development in the industry, as well as entrepreneurship graduates. A purposive sampling method, which is a non-probability sampling method, was employed, and the perspectives of 16 industrial entrepreneurial development experts were utilized. To familiarize and gain insight into the entrepreneurial development model with an industrial employment approach for graduates of Islamic Azad University branches in Yazd province, as well as for better coordination and identification of research variables, interviews were conducted with several experts. This method yielded acceptable and influential results in identifying the components. Qualitative data content analysis was performed using the meta-synthesis method with the help of MAXQDA software to synthesize studies obtained from a systematic review centered around the topic of this research. To screen the identified indicators and select the main indicators, the fuzzy Delphi technique was used. The interpretive structural modeling (ISM) technique was employed to determine the appropriate activities for public companies, rank their importance, and identify relationships between the indicators. From the extracted indicators in related articles, after eliminating synonymous and frequently recurring indicators, and ultimately categorizing and grouping the final indicators, 12 categories and 64 codes were obtained. Furthermore, based on the frequency of codes, the highest repetition was attributed to the highest entropy. The innovation infrastructure in the field of information security had the highest entropy.

One of the new approaches to development is the development model of industrial clusters, which has an effective role in product innovation and competitiveness, and the changing needs and demands of customers, the rapid evolution of technology, increasing competition in the market, and increasing economic prosperity have caused companies in various industries to innovate and provide new products with increasing speed, efficiency and quality. Therefore, the current research was conducted with the aim of identifying and prioritizing factors affecting the development of industrial clusters with a sustainable development approach in Sistan and Baluchistan province. The research method is applied according to the purpose, and mixed (qualitative-quantitative) with an exploratory approach, according to the type of data; In this way, by using the meta-combination method in the field of industrial cluster development, research indicators were identified, the identified factors and components were weighed with the opinion of experts and based on the Fuzzy Hierarchy Analysis Process (FAHP) model, the factors were analyzed and combined, and Finally, prioritization was done. The statistical community in the qualitative part of the research included 17 experts and managers expert in production, who were selected non-probably and judgmentally, and the required information was collected from them using the Delphi method. In the following, in line with the validation of the research model, a research questionnaire was designed distributed among 116 sample members including managers, experts, and agencies active in the industry, and university faculty members in Sistan and Baluchistan province, who were randomly selected by stratified method. In order to analyze the data, the Fuzzy Hierarchy Analysis Model (FAHP) was used, and finally, the findings of the research showed that the most was the development of industrial clusters with a knowledge-based approach. The criterion of strategies and the two criteria of resources and superstructures are prioritized as the next important components.

The main goal of this research is to design a causal model of factors affecting the Lars supply chain (lean, agile, resilient and sustainable). This research is applicative-developmental in terms of purpose. In line with the purpose of the research, firstly, each of the supply chain paradigms was examined using the theme analysis method of the research literature, and then, by using which; the dimensions of sustainable supply chain, resilient supply chain, agile supply chain, lean supply chain, and 16 indicators were also specified. Their differences were also identified. Dimtel method was used to determine the effectiveness of each of the indicators, and for this purpose, the Dimtel questionnaire was completed by professors and experts in this field, and finally, the relationships between the indicators were determined in the Cartesian coordinate system. The results of this stage showed that economic factors, agility, continuous improvement and flexibility are, respectively, the most influential, and on the other hand, supplier management is the most influential among the Lars supply chain indicators. Finally, in order to present a suitable conceptual model of the Lares supply chain, using the method of structural equations, the validity of the relationships of the model provided by 20 experts in this field was quantitatively evaluated.

In this research, a model of optimal control for customer dynamics based on marketing policies is investigated as a non-automatic system of differential equations. The main purpose of the model is to track and analyze the simultaneous changes in the behavior of regular, referral and potential customers of the company from the time of its inception to now. Implementing an effective marketing policy to optimize these changes and increase the number of customers is of particular importance. In line with this goal, a new supervised machine learning algorithm is presented for the numerical simulation of the problem. The proposed algorithm uses polynomial kernels. Polynomial kernels make it possible to simulate a complex function of data in a way that helps to better understand customer dynamics. Support Vector Least Squares regression provides a simple optimization method for marketing strategies, with this approach, marketing strategies can be optimized without dealing with the details of each customer and instead focusing on the overall effect of this strategy. placed on the set of customers. This research shows how machine learning techniques can help in solving complex management and marketing problems. Over time, the number of regular customers increases and the number of potential customers decreases. However, the number of referral customers shows a rapid growth at the beginning of the time period and a fluctuating increasing pattern over time.

The present research was conducted with the aim of structuring the development of the evaluation model of the agile electronic entrepreneur organization: with an organizational sociological approach. In terms of methodology, the current research is of a mixed type (qualitative and quantitative). In the first part of the section, the data method of the Straus Corbin Foundation was used. In the second part of the research, structural-interpretive modeling method was used, and in the third part, structural equation modeling was used. In the qualitative phase of the current research, in-depth interviews with experts were used to collect data, and the theory was formulated using the results of this phase. In the second phase of the research, the ISM paired questionnaire was used, and in the third part of the research, a researcher-made questionnaire was used, which was prepared and compiled from the data obtained from the qualitative phase of the research. This questionnaire included 39 equally weighted items designed using a five-point Likert scale (very little to very much). The factors are reported below. The statistical community was formed in the qualitative part of the research of Bank Saderat managers. which was a purposeful sampling method. For this purpose, 19 managers of Sadart Bank were selected as the research sample. Sampling continued in each section until theoretical saturation was reached. Also, in the ISM department, the same statistical community of the qualitative department, which was 19 managers of Saderat Bank, was selected as the research sample. And in the third part of the research, the statistical population of the present study is all senior and middle managers of Saderat Bank. And due to the uncertainty of the exact number of the statistical population and considering the size of Cochran's sample in uncertain conditions, 384 people were considered as a statistical sample. And available sampling method was used. The entire data analysis process of this research was done in SPSS, Exell and AMOS software. The results of this research showed that the creation of agile innovative investment, improvement of internal economic excellence, creation of agile support structure, elite decision-making, structuring and indexing, agile development survey was identified. The results of the model show that there is a correlation between the identified components, the highest correlation is related to the creation of agile innovative investment and elite decision-making with a coefficient of 0.748 and the lowest correlation between structuring and indexing and surveying sustainable agile development with a coefficient of 587 / is 0. The results of the model show that elite decision-making has the greatest effect on agile development survey with an effect value of 0.88, and agile development survey has the least effect on creating agile investment with an effect value of 0.63.

gray equations and gray matrices. The statistical population of this included the elites and experts of bank managers of the country who are aware of the field of research, which according to the sample size of Cochran in uncertain conditions, the number of 384 people was considered as a statistical sample. The collection tool in this research is a well-made questionnaire. The questionnaire is based on a 5-point Likert scale. In order to examine the data of this research, the multi-criteria decision making modeling method of Ashashri and software (MCMDsolver 2018) will be used. The results of the research show that the first rank is related to the component of developing resilience in crises, the second rank is the creation of a leadership character for banks, the third rank is having a suitable infrastructure, and the fourth rank is the bank's quick response factors to the external environment. Also, in the factor of creating a leadership character for banks, stabilization of programs and coordination among other actors was the most important factor. In the factor of having a suitable infrastructure, the subject of continuity of psychological support and counseling of the survivors had the highest score. Also, in the bank's quick response to the external environment, the functional dimensions of evaluation and monitoring were the most important factors. In the factor of developing resilience in crises, the continuation of psychological support and counseling of survivors show the highest points.

The hospitals, as the most important organization providing healthcare services, need efficient and effective management more than any other organization.. Therefore، knowledge, skills, and capabilities of hospital managers should be given special attention، and one of these skills is financial knowledge and skill. Therefore، this research has been done with the aim of developing and validating a tool for measuring the knowledge and financial skills of hospital managers.

The present combined study was conducted in 1401-1402. The research community included managers of educational and therapeutic hospitals, academic faculty members, and graduate students of accounting and financial management as financial experts (Delphi panel). Sampling started purposefully and continued until data saturation. To collect data, interviews, focused group discussions and questionnaires were used, and fuzzy Delphi and fuzzy AHP methods were used to analyze the data.

The important dimensions and components were determined according to the fuzzy Delphi method, including 8 dimensions and 23 indicators, and with the help of the AHP method, the weight of each dimension was determined. Then, 68 multiple choice questions related to each of the identified dimensions were designed based on interviews with experts. In the next step, through questionnaire and fuzzy Delphi technique, the opinion of experts was obtained about the questions raised, and finally 46 four-choice questions were compiled as a tool to measure the knowledge and financial skills of hospital managers.

Hospitals are important parts of providing health services and considering the limited resources of the health sectors, proper allocation of resources, application of scientific management, correct and principled planning will be an important step in achieving the goals of the health system. A proper understanding of the principles of financial management and how to present financial information and how to share costs in hospitals help the managers of hospitals to have a dynamic picture of their activities and goals and to be able to make more informed decisions for the future.

Line balancing is a fundamental concept for continuous production systems. Assembly lines are present in different industrial environments and usually have a great economic impact because of their high manpower levels. A simplied view of the assembly line balancing problem (ALBP) is dened as the grouping of the tasks required to assemble the nal product to the workstations conforming to the assembly line, which species the permissible orderings of the tasks. The main goal of the assembly line balancing problem is to assign the tasks to workstations such that the precedence relations are satis ed and some performance measure is optimized. The ALBPs are classied into two groups: simple assembly line balancing problems (SALBPs), which bear numerous simplifying assumptions, and general assembly line balancing problems (GALBPs), which are closer to reality due to the consideration of one or more realistic conditions, like sequence-dependent setups.
In this paper, we consider the problem of optimizing simultaneously the objectives of minimizing cycle time and minimizing the overall setups in a general assembly line balancing environment with the consideration of sequence-dependent setup times between tasks. The rst objective, which is referred to as the type II problem, generally occurs when the organization wants to produce the optimum number of items using a xed number of workstations without adding new machines. The minimization of the overall setup times is important mostly for the cases when setups impose maintenance costs on tools and the prolongation of setup times would increase maintenance costs and also bring more exhaustion to workers.
This paper is intended to introduce the objective of minimizing overall setups in the class of assembly line balancing problems and solve the problem of concurrently minimizing cycle time and the overall setups. The exact method was not ecient enough to solve the innovative problem with type II problem assumptions; thus, a Pareto simulated annealing (PSA) algorithm is developed to solve such an Np-hard problem and several quantitative metrics are dened for evaluating the proposed algorithm. Computational results veried the considerable eciency of the PSA algorithm.

The main goal of this research is to identify the most effective and efficient factors of Lars supply chain. This research is applied-developmental in terms of purpose. Factors were extracted by super combination method. Lars supply chain has factors of sustainable supply chain, resilient supply chain, agile supply chain, lean supply chain and 16 different indicators (supplier management, supporting suppliers, multiple distribution channel, waste elimination, just-in-time production, logistics management, continuous improvement, flexibility, competence, speed, communication with customers, responsiveness, agility, economic, environmental and social). Dimtel's questionnaire was designed based on the factors and provided to 15 experts of Yazd tile and ceramic industries. Dimtel method was used to determine the influence of each index. For this purpose, the Dematel questionnaire was completed by professors and experts in this field, and finally, the relationships between indicators were determined in the Cartesian coordinate system. The results showed that economic factors, agility, continuous improvement and flexibility are the most influential, and on the other hand, supplier management is the most influential among the Lars supply chain indicators.

As one of the top ten industries in the world, tourism plays an important role in the economic cycle, contributing significantly to revenue generation and currency earning. Therefore, this study sought to identify and develop a conceptual model for managing the green supply chain in the tourism industry of Fars province using the grounded theory-based qualitative approach. To this end, the required data were collected through document analysis and interviews with 20 experts who were selected via the snowball sampling method. Moreover, the validity of the study was examined and confirmed by the interviewees and the expert professors. Finally, the collected data were coded through the open coding, axial coding, and selective coding methods and analyzed via the continuous comparison method, based on which the qualitative model of the study was designed.Accordingly, 120 open codes were extracted from the transcribed version of the interviews, which were then organized in terms of 21 axial codes via MAXQDA software, including causal conditions (green processes, customers and other external institutions, green innovation), contextual conditions (driving forces involved in green materials supply, implementation of the waste management system, financial thoughts, and the organization’s costs), intervening conditions (environmental management approaches, green supply chain risks, green suppliers' capabilities, human resources management), phenomenon-based conditions (the improvement of environmental performance, economic factors, operational performance), strategies (management, technology, economics, policy-making), outcomes (green supply chain enablers, credit enhancement, institutionalization of technology equipment and technical knowledge, energy management and optimization).

The present-day governance environment in the global arena has been impacted by social networks and the unique aspects of the era of the network society, leading to fundamental changes. These changes have transformed the governance environment "in", "on", and "through" social networks and made them an obvious and inevitable part of the picture. Therefore, this article aims to provide an effective and viable model for playing an authoritative role in the future of cyber operations at the international level. This will enable participants to take part in shaping the global cyber landscape. The objective of creating a desirable model for digital governance in the network society era has been outlined. By observing relevant documents and conducting library studies, methods used by other countries in this area have been obtained for the expansion and development of domestic and international governance. The two approaches of "open governance" and "control governance" have been examined and discussed, including the effects of adopting each approach and how they may impact international relations.The results of the current study demonstrate that though some might believe that open governance is the predominant approach in international arenas, a combination of both open and control governance based on the system of societal issues has a significant impact on cyber governance practices. Consequently, the ideal model of digital governance is a flexible authoritarian approach based on the system of issues that nations should adopt in both domestic and international arenas.The concepts of "digital governance" and "networked society" are two fundamental areas that constitute the new ecosystem and can be examined from multiple perspectives. The theory of network society, coined by Manuel Castells, presents a macro-level view of the characteristics of the current era, emerging as a new theory after the information society. The aforementioned theory can offer insights into the new age's characteristics.According to Castells, the transition to the network society is characterized by the polarization of international economic structures and societies, the transformation of work and employment, the evolution of media and audiences, the change of the material foundations of culture (the space of flows and timeless time), and the breakdown of the societal fabric. It is notable that the logic of the digital governance and network society areas are distinct, leading to contrasting identities. Ultimately, these identities exist on opposite ends of the spectrum, emphasizing the diverse nature of the network society.Furthermore, digital governance, as a significant aspect impacting global developments, has emerged as an all-encompassing framework for reforms within various governance domains. The digitization process will facilitate seamless cooperation between the public and private sectors, paving the way for effective digital governance, particularly through the reforming of public sector bills.Additionally, several experts assert that governments need to become more efficient and productive, engage in closer collaboration with stakeholders from diverse sectors, and leverage data to inform decision-making through the creation of evidence-based policies. Governments must also enhance transparency and accountability and respond to the evolving relationship between government and citizens by enhancing citizen participation through the implementation of public services or other measures. These concepts have led to the development of digital governance. However, the advancement of public sector improvements within Iran has been comparatively sluggish.The widespread usage of information and communication technologies in day-to-day life, as well as the increasing penetration of these technologies among households in the last few decades, have resulted in a significant amount of information generated about individuals, groups, and societies. In order to enhance their governance indicators, governments have no choice but to access, process, and make use of this information while managing and governing their communities. Consequently, the purpose of the current research is to review governance in the digital age and the research approach is descriptive-analytical. The findings showed that governments, in order to fulfill the changing needs and desires of their citizens, are compelled to make use of information technology to conduct reforms within the public sector and thus bring about radical changes in the way they deliver public services. Digital governance, with its tremendous power, plays an instrumental role in curtailing administrative paperwork, streamlining operations, restructuring governmental institutions, reducing the cost of governance, making governance more adaptable to changes, reducing bureaucratic corruption, enhancing public participation, increasing transparency within the government body, reducing decentralization, fortifying democratic foundations, reforming administrative and governmental bureaucracy, enhancing governance accountability, increasing efficiency and productivity, improving the quality of information and data accessibility, saving time, and enhancing the effectiveness of governance processes.The penetration and expansion of information and communication technology in all areas of human life has led to a change in the ways of communication between people and the society, the methods and procedures that the society contributes to each person in doing their work. Due to these changes, the current age is called the age of information and communication, as a result of which human communities have become scientific communities and citizens have become users of social networks. Today, the vital role of the government and government agencies in the development of the country and the well-being of citizens is obvious.The digital age has prompted many thinkers to propose various indicators of digital governance, which draw from theories and assumptions aiming to serve as the cornerstone of an efficient and user-centered system. Some experts have described e-government as the second revolution after modern government and public administration, affecting not only the methods of public service delivery but also the fundamental relationships between the government and the people. The transformation of the times also necessitates decentralizing operations, hiring subject-matter experts, outsourcing tasks to the private sector, and transforming local authorities into designers and supervisors. In addition, safeguarding the environment, strengthening the culture of citizenship, supporting various public spheres, and encouraging the private sector to reduce government ownership are some of the policies and requirements outlined in the sixth development plan. It is indispensable to carry out information acquisition, licensing, payments, and administrative and operational processes electronically, avoiding in-person procedures (Abdul Hosseinzadeh, 2019, p. 187).The Information Technology Governance Institute defines governance as "a set of responsibilities and activities carried out by the board of directors or senior managers in order to realize strategic direction, ensure the achievement of anticipated goals, manage the organization's risks, and allocate and control resources." Effective governance involves defining structures and mechanisms to ensure effective performance of responsibilities and duties, and it can lead to greater transparency and accountability in organizational functioning.In the field of digital governance, the definition of the concept is derived from the higher-level concept of governance. It can be defined as structures and mechanisms adopted by organizations in the field of digital transformation to optimize their resources and capabilities in terms of digital strategies, processes, and systems. The ultimate goal of effective digital governance is to maximize the positive impact of digital technologies on an organization's operations and service delivery, while minimizing the negative impacts (Bonet and Westerman, 2014).

With the development of societies and attention to human rights, in addition to the usual responsibility of companies, namely profitability, the responsibility of companies to society and the environment has also been considered. Shareholders are no longer the only beneficiaries of the company, but also citizens, customers, employees and the government, and even future generations of the company. Many companies around the world are now aware of this responsibility and are working to fulfill it. Success in performing social responsibility in companies and creating patterns in accordance with culture and society, depends on identifying the different factors and dimensions of social responsibility in each situation. By recognizing these factors and criteria, the dimensions of corporate social responsibility can be analyzed. This research is applied in terms of purpose and descriptive-survey in terms of type. The statistical community consists of theoretical texts related to corporate social responsibility. In this study, effective criteria based on previous research were identified and 58 indicators in the form of 8 dimensions were selected. Then, a researcher-made questionnaire was designed and implemented to determine the most important criteria by fuzzy screening method. Given that the identified indicators and dimensions have appropriate scientific support, and have the ability to be operationalized, by determining their priority and operational definition of each component, the path of institutions to measure and increase responsibility can be Identified social.

Social networks are a complex platform of interactions and possibilities, the planning and management of which requires a new approach. Future research and foresight are among the new discourses that create a new perspective in the field of media management in combination with the conventional planning of social policymakers. Therefore, the current research was conducted with the aim of presenting alternative images of the future of the virtual social network and its harms within the framework of scenario planning. In this study, the theories of Habermas, Castells, Giddens, Berger and Laman were used to better understand the subject. The present research, as an applied research, has scenarioized the future of social networks by using the interaction analysis approach. The participants in this research were 15 future experts and researchers in the field of social networks. By using the method of library studies and referring to upstream documents in the field of social networks, 32 primary influencing factors were identified. Among these 32 factors, 16 factors were selected as key factors by using MikMak software, and the basics of developing scenarios were presented to social policymakers. These scenarios were called "Paradise Lost", "In Search of Happiness", "Lost in Space" and "Purgatory". 

Background &

In today's world, increasing environmental changes; wastage; intensity of competition; The shortening of the product life cycle and on the other hand the movement of production towards new technology and knowledge have forced companies to develop green products as one of the competitive strategies. Therefore, in this research, it was carried out with the aim of presenting a presenting the new product development success model with the approach of green products appraisal in the food industry.
Material and

 The type of research methodology is mixed and based on the result, it is placed in the category of developmental research. In this research, interviews are used to collect data in the qualitative part, and matrix checklists based on pairwise comparisons are used in the quantitative part. The target population in the qualitative section was 14 university specialists who were considered experts both scientifically and experimentally. Sampling in the qualitative methodology section was theoretical sampling and how to determine the snowball sample. But the target population in the quantitative part was 24 managers of knowledge-based companies, who were selected based on work experience and level of technical and specialized knowledge through homogeneous sampling.

The results of the research in the qualitative part of the existence of 810 open codes; there are 107 concepts and 20 categories in the form of a paradigm model for the development of green products in the food industry. Also, the results in the quantitative section showed that the percentage of impact of green technology is higher than the other consequences of green product development, which means that the most effective result of green product development at the level of knowledge-based companies is food products.
Discussion and

The obtained result shows the fact that green technology, which is created during infrastructural processes based on green product development plans, provides the possibility of classifying and categorizing information from social platforms and customers to knowledge-based companies and provides the conditions So that companies can improve their level of knowledge about environmental changes and customers' tastes and expectations, and in this way, they can be ahead of the development of competitive functions in the field of green products in the long term.

The green supply chain management model is to protect the environment, and companies can use it to reduce the negative environmental impacts according to the future and achieve the optimal use of resources and energy.

The purpose of this study is to identify and formulate a conceptual model of green supply chain management in the Petrochemical industry of Fars province using the qualitative method Grounded Theory.

The method of data collection is the study of documents and interviews with 20 experts aware of the subject under discussion, using the method of snowball sampling. The validity of this study was reviewed and confirmed by the interviewees and then expert professors. To analyze the data, continuous comparison method was used during three stages of open, axial, and selective coding, based on which a qualitative research model was designed.

The results of the present study indicate the extraction of 120 codes or basic concepts from interviews and 21 criteria in the form of a paradigm model with MAXQDA software including causal conditions (design of green processes, customers and other external institutions, green innovation), background conditions. (Drivers of green materials supply, implementation of waste management system, financial thoughts and costs of the organization), intervention conditions (environmental management approaches, green supply chain risks, green suppliers' capabilities, human resource management), phenomenon-based environmental factors Economic (operational performance), strategies (management, technology, economics, policy-making), outcomes (green supply chain enablers, credit enhancement, institutionalization of technology equipment and know-how, energy management and optimization).

The need to observe the factors of sustainable development (especially environmental issues) in the ceramic-tile industry due to the high share of factories in this industry, has always been emphasized. In this article, we have tried to study the effective factors in the sustainable development of the supply chain of the ceramic-tile industry in Yazd province. The purpose of this study is to identify the indicators and provide a comprehensive model of supply chain sustainability in the ceramic-tile industry of Yazd province and to prioritize the indicators. Initially, while studying the research literature, 11 university administrators and experts were selected. Samples were selected by non-probabilistic snowball sampling method. The components were identified through semi-structured interviews and sampling was continued until theoretical saturation was obtained. In the qualitative part, the grounded theory approach was used. The obtained sub-indices were classified into 91 codes, 19 concepts and 6 categories based on the analysis of the grounded theory approach. Also, the findings of the quality sector led to the presentation of a comprehensive model of supply chain stability in the ceramic-tile industry of Yazd province. Quantitative data analysis was performed using the best-worst fuzzy method through Lingo17 software. And the results of the quantitative section led to the calculation of weight as well as the prioritization of dimensions and indicators. The concept of equipment with a final weight of 0.2777 was prioritized as the most important indicator and the concept of globalization with a final weight of 0.0027 as the least important.

In the new model of development that is formed on the basis of human personality, industry and industrialization is a phenomenon that has had a tremendous impact on man and his living environment. One of the key issues that has been raised in the field of social sciences and culture in recent decades and has become very widespread and important is the issue of development. Sustainable development is development that meets the needs of the present generation without compromising the ability of the next generation to meet their needs; And economic development was considered as a category that seeks to achieve higher productivity and increase sustainability, fair distribution of development interests among members of society, people's participation in design and implementation of development. Therefore, this article seeks to explore the economic development of cities. Emphasizing on the indicators of sustainability of business clusters and presenting its dimensions and components in the form of prefixes and suffixes. In terms of data reliability, it is exploratory. Dimensions and components of economic development of industrial cities based on business sustainability indicators were extracted from 16 sources. The results of this analysis included the identification of 36 basic themes, 8 organizational themes, and 2 comprehensive themes of antecedents and backgrounds.

The present study aimed to offer a model to gain sustainable competitive advantage on the basis of positive psychological capital. The approach in the study is a mix of quantitative and qualitative with a pragmatic paradigm approach. From purpose view, it is an applied research and the method selected for the study is descriptive survey. Participant of the survey were managers and elites of National Iranian Petrochemical Company (NIPC) and some other companies active in petrochemical industry and were selected using nonrandom sampling method. In qualitative section of the study, data collected from semi-structured interviews with 17 elites in the industry were analyzed, using qualitative content analysis method in AtlasTi.8, and all conceptual model and concepts were extracted. In quantitative section, data were collected using questionnaires and the final research model was evaluated and prepared using Structural Equation Modeling (SEM) method. SEM results in AMOS26 software showed that positive psychological capital affects sustainable competitive advantage through direct and indirect impact on other variables, as social capital, human capital, intellectual capital, organizational citizenship behavior (OCB), knowledge management and innovative work behavior. So, to achieve sustainable competitive advantage, positive psychological capital plays the pivotal role comparing other human resource capitals. Social capital is the second most important variable in this regard. The study findings include different indices and factors effective in achieving sustainable competitive advantage and present of an optimized model to reach sustainable competitive advantage on the basis of positive psychological capital in NIPC.

Given that in today's world, factors such as population growth, increasing efforts to achieve economic growth and production systems to increase production and achieve competitive advantage lead to the loss of natural resources, global warming, climate change, Natural disasters and ultimately environmental degradation and green production has been proposed as an effective factor in reducing environmental pollution and human risks as well as increasing competitive advantage and profitability for organizations. This study aims to design a conceptual model of green production with a modeling approach. An interpretive structure has been developed.

In this study, which is synthetic and inductive-deductive in terms of data collection method, and was conducted in 1400, and 12 industrial management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative section, which used meta-synthesis and Delphi analysis, the aim was to identify the themes of green production and then in the quantitative section, with the participation of 16 managers of knowledge-based companies in the green production section, the propositions identified in ISM templates should be graded based on influential priority. Therefore, relying on meta-synthesis analysis, the first 12 studies were reviewed as a basis for evaluation to determine the themes of green production based on critical evaluation, based on which eight themes were selected and entered into Delphi analysis in a checklist manner to determine theoretical adequacy. During the two stages of Delphi analysis, all eight identified themes of green production entered the quantitative analysis section, i.e., structural interpretive analysis.

The results showed that the most influential components of green production of knowledge-based companies are the five components of water (C1), energy (C2), natural resources (C3), capital (C5), and labor (C6), which is at the third level of the proposed model. Also, a Mick Mac analysis as a complementary interpretive structural analysis was performed to better understand the research topic.

The results showed that the factors of energy consumption, water consumption, labor, capital, and raw materials are important factors that any change in them will cause changes in other variables and on the other hand, GDP is with the low impression, and greenhouse gases and technology is the most impression variable.

The present study aims to identify the effective strategic factors of organizational intelligence relation with employee’s performance in Alburz Insurance Company. The research is mixed (qualitative- quantitative). In qualitative phase, the grounded theory approach was applied. The participants were selected by purposive sampling in this phase. The research tool was semi-structured interviews. In the quantitative phase, in order to fit the obtained model from qualitative phase, a researcher- made questionnaire was prepared and random-sampling from Alburz Insurance experts was performed. The statistics population includes 670 experts in central offices and 53 branches all through the country.For explaining the relations between the variants, structural equation techniques with partial least squares approach (pls), and smart pls software was used. The qualitative phase showed that the categories of process and the organization strategy, extra-organizational relationships, and organization knowledge are considered as effective strategies on organizational intelligence relation with employees’ performance in Alburz Insurance Company. The relation between the dimensions and categories was significant and the achieved model in the qualitative phase was confirmed. According to the proposed model in this study, the results show that the organizational intelligence with the impact of strategic categories (organizational knowledge, the process and strategy of the organization, and extra- organizational relationships) has positive and significant effect (with 0.184 path coefficient) on organizational performance.

The purpose of this study was to analyze the content of related articles in the field of knowledge sharing. This research was conducted in the form of qualitative content analysis by using Grounded Theory qualitative Technique. The statistical population was consisted of various internal and external scientific articles on knowledge sharing from 1388hijri and 2009AD. For this purpose, 61 articles that directly examined the topic of knowledge sharing , entered the process of analysis after analyzing the Casp.Coding the articles was performed based on qualitative content analysis of articles and using the MAXQDA software. Finally, with the studies performed, there were 355 codes in these articles related to knowledge sharing, which led to the identification of 13 main variables and 39 components, each had its own indicators. The results showed that the most important factors mentioned in Knowledge Sharing Articles are organizational circumstances related to the organizational context as well as external and internal motivations for knowledge sharing. Finally, based Grounded Theory Technique, the identified variables were catecorised in six general classification and final model which provide the connection between components in order to share knowledge in the organization.