mozhde rabbani

Effective communication with customers is considered one of the important and necessary issues in today's business environments,in other words, knowing customer needs and meeting them is one of the basic challenges in micro and macro economic environments and global markets. The purpose of this article is to review and analyze scientific productions and scientific metrics in the field of customer relationship management in the period from1996 to2023. This research is based on the interpretation paradigm and is done using VOS viewer software,which can be used to analyze data extracted from reference and information databases and draw their results and graphical features.The findings of the research showed that the highest number of articles related to 2019 was 40 articles. The highest amount of research and scientific productions in the topics of customer relations has been done in America with128 articles, and Iran is in fifth place with 33 articles.Also based on the co-occurrence network of words,since2014the keyword of customer relationship management has found a special link with the words of public relations.salesinformation management and business experienced a suitable growth rate during the reviewed years, and some sort of organization in the process of scientific productions in the field is clearly evident.

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.

This research aims to design a pattern for managers’ professional ethics factors focusing on the mine workers’ mental health. This research’s method, which is based on the interpretative paradigm, is developmental, respecting the goal, and it has an exploratory-analytical nature by an inductive approach adoption, and it has used mixed research (qualitative/quantitative) from the statistical community of industry and university experts through a targeted sampling method. Three steps have been considered to achieve the research’s main goal. The factors of the managers’ professional ethics have been identified in the research’s first step through investigating the published articles at the national and international level with content analysis method by NVIVO software, and then, the 15 main factors were finalized and confirmed through the Delphi method and using EXCEL software in the second step in order to naturalize the factors extracted from the articles emphasizing its effect on mine workers’ mental health. The factors rating and pattern presentation were done in the third step using the ISM method. The present research has provided the factors of professional ethics of Iranian mine managers and the relationships between these factors emphasizing the mine workers’ mental health to be applied by the mining industries’ managers of Iran and invited them to pay extra attention to factors such as characteristic traits and perceptual skills which are the most effective variables through presenting a pattern of managers’ professional ethics factors.

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.

We consider a continuous model of the optimal control of the customer dynamics based on marketing policies as a non-autonomous system of ODEs. The model tracks the history of the simultaneous changes from the beginning to the current time for the evolution of the company's regular, referral, and potential customers. We then present a new supervised machine-learning algorithm for the numerical simulation of the problem. The proposed learning algorithm implements a polynomial kernel to simplify the formulation of the method. To avoid computational complexity, the Bernstein kernels are used to get a simple optimization marketing strategy by using the Support Vector Regression (SVR) in a least-squares framework. Some numerical experiments are carried out to support the proposed model and the method. The method provides approximate numerical results with high accuracy by kernels of polynomials of low degree. The running time of the technique is also illustrated versus the increasing number of training points to see the polynomial behavior of the running time.

The present study aimed to identify the factors affecting the strategic design of open innovation and performance in small and medium enterprises. This study was applied in terms of objective and was descriptive-exploratory and mixed in terms of the data collection method. The method used in the present study was conducted in three steps. The first step was the use of qualitative content analysis and the reliability method was used to measure validity. The obtained result was the initial conceptual framework of the factors affecting the strategic design of open innovation and performance. In the second step, the effective factors obtained by the experts were approved in two phases of the Fuzzy Delphi technique. The population of eight scientific-practical experts such as the experts of small and medium enterprises in Yazd province were selected by theoretical sampling, judgmental, and snowball techniques. In the third step, the objective model of the experts was extracted and the content relationship and leveling of effective factors were conducted based on the interpretative structural modeling technique by 22 experts. Based on the analysis of the given opinions, all factors were identified and levelled in intra-organizational (14 factors), extra-organizational (12 factors) and hybrid (5 factors). Based on the analysis conducted in the intra-organizational dimension of organizational culture, organizational strategy, financial resources in the framework of extra-organizational organizations, economic factors, laws and regulations and in the framework of hybrid factors to the inside and outside of the organization, the factors of business space, strategic coordination, and joint venture have more significance and driving forces in affecting the strategic design of open innovation and performance.

The purpose of this research is to present mine managers with solutions for the sustainable development of mines with an emphasis on mine tourism. In the first step, identifying ways for mine sustainable development with the use of tourism potentials by studying articles on a national and global scale taken from the SID citation center, Emerald, and Science through content analysis using Nvivo software, was in order. In the second step, 12 main factors were identified and confirmed with the help of the Delphi method and 12 university and industry experts, using EXCEL software. Then, by using tourism potentials with the ISM method and the participation of experts from the previous section, the development model of mines in Iran was achieved and an interpretive structural model was extracted. Finally, in the third step, in order to check the application of the proposed model, structural equation modelling analysis was done using PLS3 software with the participation of 170 managers and supervisors of Iranian mines. The final results acknowledged 12 ways as the final methods of mine sustainable development considering tourism potentials. In the eyes of the expert, mines' innovative reconstruction based on a tourism standpoint, tourism infrastructure improvement, increase in the region's social capital, business and employment growth based on tourism as a necessity were deemed the most effective ways of sustainable development for mines using tourism potentials. Evaluation of the proposed model in the field showed that among 32 theories, only the relationship between innovative mining tourism strategies and business prosperity and job creation based on tourism, the development of mine workers human resources and the development of the region's social capital and the relationship between the development of mine workers human resources and the prosperity of business and employment based on tourism was not approved.

Most analysts believe that the network-based dynamic data envelopment analysis needs to define a set of endogenous/exogenous weights to evaluate the performance scores of stages and periods. Against this background, the general aim of this study is to introduce heuristic novel approaches based on fuzzy interpretive structural modeling along with the historical value of periods to obtain such weights. In this context, a closer look is taken at how to perfect the model established by Kalantary and its shortcomings. The models are initially developed here in both weighted and unweighted forms, in which a company's current performance can be influenced by its past socio-environmental performance. In the next step, heuristic methods for finding weights for stages and periods are described, and depending on the specific conditions of the models, two alternatives are proposed to combine and formulate the calculated weights. This method is then applied to data from a company, Nirou Moharekeh Industrial Group, to demonstrate the capabilities of the proposed models. The results of probing 12 suppliers show the power of the developed models in the differentiation of the decision-making units since there are no two units with the same ranks. In sum, the results can provide rich information for decision-makers. However, analysts must decide which characteristics to prioritize for evaluation purposes to achieve the best results for each situation.

Many countries and governments that seek to achieve economic prosperity and benefit from the power and other benefits derived from it; they consider the tourism industry as a golden opportunity. Considering the vast amount of mines in Iran and stating that mining has many positive and negative effects on the environment due to its vastness. Scientometrics is one of the reliable tools for evaluating materials and information sources and identifying research areas and drawing connections between these areas in the form of a thematic map. Using this technique to gain a comprehensive insight related to the potential of mining tourism for the sustainable development of mines is a new action and provides a comprehensive understanding of published articles and research for researchers. This study, which follows the interpretative paradigm, is a type of descriptive study that was conducted using a systematic review method and using the search terms defined in the web of science database in the title of the articles and in the time period of 1955 to 2022. Published research in the field of mining tourism has been deeply investigated. After searching, screening and qualitative evaluation of studies, the final analysis of 52 articles and in-depth analysis of selected articles showed that the most research in the field of tourism in the field of mining is related to 2020 and China, Australia and Slovakia respectively. They have the highest number of research and communication between authors.

Today, globalization, the growth of technological complexity and environmental changes have encouraged the organization to change their attitude from closed innovation to open innovation and prioritize open innovation as a developing approach to gain competitive advantage. This study identifies and analyzes open innovation strategies and provides a model for that in small and medium-sized manufacturing enterprises. This research is practical in terms of purpose and descriptive survey in data collection and mixed in the method. First, effective factors were identified according to the literature review and confirmed by 15 experts in the field of innovation. Then, a matrix questionnaire was prepared and given to 83 experts of small and medium-sized manufacturing enterprises in Yazd city in Iran. Data analysis was done using Fuzzy Cognitive Mapping (FCM) techniques, and the final model was depicted using social networks. The findings related to analyzing data obtained from the experts' opinions indicate that the strategies of external relationships, internal relationships, support infrastructure systems, and technology absorption are more central than other ones because the effectiveness and susceptibility of these strategies are more than other factors. Thus, these strategies should be more emphasized.

The present study is problem-oriented applied research seeking to figure out the role and effect of technology models in and on the creation and development of the knowledge-based industrial clusters in Sistan and Baluchestan Province using the system dynamics approach and Vensim Simulation Method. The required information for the research has been collected through library research and field studies based on open interviews with 12 experts who have been selected via judgmental and purposive sampling methods. The research’s causal diagram has been drawn following the identification of the risk indices and dimensions based on experts’ notions through the use of a fuzzy analytic hierarchy process. In the end, corresponding to the system’s dynamics modelling, the research’s dynamic model has been designed using Vensim Software. In this regard, two objectives are sought considering the region’s infrastructures and potential: the first is the improvement of the regional development through setting the required grounds and acquiring technologies effective in the development and introduction of the new industries; the second goal is an enhancement of the industries’ competitive potency in terms of the industrial clusters’ growth and development within the framework of the macro-level economic policies. The article can be utilized in various industrial arenas and it can also express a perspective about the industrial clusters of science and technology usable by the private sector within a development process capable of accelerating economic growth. That is because technology development is among the inevitable stages of modern technologies’ advancement and use, and, in fact, research organizations should find the proper grounds for their research findings and provide the investors with their research accomplishments because it can in this way lead to the formation of novel industries and, on the other hand, heightening of the efforts parallel to the presentation of a vivid image of the potential and actual competencies to the industrial clusters which can subsequently take part in the creation of new job, entrepreneurship and innovation opportunities.

The purpose of this research is to analyze the phenomenon of ambivalence of citizenship in managers of industrial companies in Iran. The current research was a mixed research. The statistical population of the present research in the qualitative part included experts who are knowledgeable about the subject of the research. Also, the statistical population in the quantitative part of the research included managers of Iranian industrial companies. The research tool included semi-structured interviews and a special questionnaire for Dimtel, which was designed according to the research objectives and methods. Dimtel method was used to identify the pattern of causal relationships between the studied variables. The results of the present research revealed that the changes affecting the ambivalence of citizenship in managers of industrial companies in Iran include attraction of social coalition, concern, social structure, information scaffolding, job requirements, creating hope, harmonious behavior and trust building. The results of the above table revealed that the factors of creating hope and harmonious behavior were identified as causal factors and other factors were identified as causal factors. The results of this research show that the factor of harmonious behavior with a weight of 0.237 was determined to be the most important factor in citizenship ambivalence among managers of industrial companies in Iran

The purpose of this research is to analyze the phenomenon of ambivalence of citizenship in managers of industrial companies in Iran. The current research was mixed research. The statistical population of the present research in the qualitative part included experts who are knowledgeable about the subject of the research. Also, the statistical population in the quantitative part of the research included managers of Iranian industrial companies. The research tool included semi-structured interviews and a special questionnaire for Dimtel, which was designed according to the research objectives and methods. Dimtel method was used to identify the pattern of causal relationships between the studied variables. The results of the present research revealed that the changes affecting the ambivalence of citizenship in managers of industrial companies in Iran include attraction of social coalition, concern, social structure, information scaffolding, job requirements, creating hope, harmonious behavior and trust building. The results of the above table revealed that the factors of creating hope and harmonious behavior were identified as causal factors and other factors were identified as causal factors. The results of this research show that the factor of harmonious behavior with a weight of 0.237 was determined to be the most important factor in citizenship ambivalence among managers of industrial companies in Iran.

This paper presents a common set of weights (CSWs) method for multi-stage or network structured decision-making units (DMUs). The decision-making approaches proposed here consist of three stages. In the first step, a hybrid dynamic network data envelopment analysis (DNDEA) model is used to determine the efficiency values of the supply chain. Next, a CSW model is developed using the range-adjusted measure (RAM). In the third step, the extracted CSWs are used to compute a separate weight for each component of each DMU.  the extracted CSWs are then used in the third step to calculate DMUs weights separately for each component. Then the overall efficiency is obtained by weighted averaging of the efficiency of individual components. Thus, this model evaluates the overall efficiency of a network process as well as the contribution of individual network components. The results of this study demonstrate the model’s capability to evaluate the efficiency of dynamic network structures with very high discriminatory power. In an implementation of the model in a case study, only one supplier (KARAN) earned the maximum efficiency value, and the efficiency scores of other suppliers were in the range of 0.6409-0.9983. After applying the CSWs, KARAN remained the most efficient supplier, and the efficiency scores of other suppliers moved to the range of 0.5002-0.9349. The range shifted to 0.4823-0.9921 after applying the stages weights. This weighting method should be considered an integral part of such modeling procedures, Given the enhancement observed in the results of CSW after incorporating the component weights.

Reducing environmental pollution and selecting sustainable suppliers can lead to improving the stability situation and reducing the risk of supply chain disruption. The purpose of this study was to design a model for selecting stable resilient suppliers in the supply chain of Shahid Ghandi Company with intuitive fuzzy AHP approach.

The present research is an applied-developmental goal in terms of collecting descriptive information and in terms of the nature of data. The present study consists of two main parts. In the first part, using research literature, the criteria for selecting a stable resilient supplier were identified. To obtain the indicators, after reviewing the theoretical literature of the research, 76 indicators were identified for evaluation of sustainable supplier and 50 indicators for evaluation of resilient supplier, which after four stages of supply chain experts in Shahid Ghandi factories using Delphi model method Finally, 15 suitable indicators for sustainability and 15 suitable indicators for resilience were identified, then a questionnaire was distributed among the employees in the supply chain of Shahid Ghandi Company and based on 136 questionnaires, the model of selecting a resilient sustainable supplier Confirmatory factor analysis method was approved and then intuitive fuzzy AHP method was used to select the supplier.  

Sustainability indices were classified into three sections: economic, social and environmental, as well as resilience indices in three sections: absorption capacity, adaptive capacity and restorative capacity. It was spread among experts.

The results showed that priority is given to economic indicators, absorption capacity, remedial capacity, adaptive capacity, social and environmental, respectively, and finally suppliers were prioritized. Also, among the sub-indicators, cost and quality are the most important They were.

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).

according to achievements, People type of personality effect to their noticing to media and their level of learning. So one of the reasons that media has different effects to different people, is people differences of personality. Therefore, if content can be produced based on the attribute of personality and learning, could be hopeful to be more affective. Condition of social media producing content based on the attribute of personality and learning.

In this research with mixed method, the difference of people personality and learning is gained by questionnaires and conceptual model is figured by interviewing active men and women in media and psychology.

The most important achievements of this research are:1- Agreeableness has an inverse relation with learning method of objective experience. 2-Psychoneurosis has a relation with learning method of view reflection and there is an inverse relation between extraversion-introversion, responsibility and learning method of view reflection. 3- In this research, the ideal pattern of producing content is showing as a paradigmatic model. In this model the relation between some items creates pivotal phenomenon and some strategies are offered, which can create ideal conclusions.

With noticing to people attribute of personality and learning, can produce applicative content in social media and therefore, with raising potency of understanding, can increase media literacy.

Selecting resilient-sustainable suppliers can improve sustainability status and reduce supply chain disruption. This study aims to design a model for selecting resilient-sustainable suppliers in the supply chain of the Shahid Ghandi Corporation Complex. For this purpose, after reviewing the theoretical literature, 76 and 50 indicators were identified for evaluating sustainable suppliers and resilient suppliers, respectively. These indicators were investigated by supply chain experts in Shahid Ghandi Corporation Complex and, then, 15 indicators were determined to be suitable for each of the sustainable and resilient suppliers. A questionnaire was distributed among the supply chain experts of Shahid Ghandi Corporation Complex and the resilient-sustainable supplier selection model was confirmed using confirmatory factor analysis (CFA) based on the 136 questionnaires gathered from the participants. Sustainability indicators were classified into three economic, social, and environmental dimensions, and resilience indicators were divided into three categories of absorptive capacity, adaptive capacity, and restorative capacity. The results showed that the economic dimension had the first rank, the environmental dimension the second rank, and the indices of adaptation capacity, restorative capacity, social capacity and absorption capacity in choosing the sustainable-resilient supplier model were the next priorities, respectively.