مژده ربانی

Human resources are the most important capital of the organization. Identifying factors related to human resources is important in achieving the goals of the organization. the purpose of this research is Identification and ranking of effective human factors in resilience of lean supply chain. The current research is a type of applied-developmental research and based on the method is descriptive-survey research, which was conducted with a qualitative-quantitative approach. In the qualitative stage, each of the human factors affecting the resilient supply chain and the lean supply chain were identified by examining previous research through the approach of categorical content analysis. At this stage, the statistical population of the research is the scientific-research articles available in the reliable foreign and domestic scientific databases from 2012 AD in the field of study. Data analysis was done with MAXQDA software. In the quantitative part, the FTOPSIS technique was used to rank the identified human factors. The findings show that among the final sixteen factors, the factor of skilled and multi-skilled workforce with the highest weight is in the highest rank, and the teamwork factor is in the second rank. After that, the factors of training and empowerment, communication between employees, employee participation, etc were placed in order. Prioritization done helps managers to give importance to the role of human resources in advancing the organization's goals. In order to increase resilience and lean the organization's supply chain, pay more attention to the priorities of human factors in the future planning of the organization.

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.

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.

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.

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 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.

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).

Performance appraisal is essential for any bank to plan and control. And considering the role of banks in the country's economy, measuring its efficiency is very important, so it is necessary to use appropriate models to assess the efficiency of banks. One of these models is data envelopment analysis. Due to the multi-stage structure of banks, conventional data envelopment analysis models cannot be used, because conventional models do not pay attention to internal structure, intermediate products or communication activities And provide an estimate of the quality of performance. Also, conventional models pay less attention to the nature of inputs and outputs and have a radial nature, so the aim of this study is to provide a new model of NDEA with SBM model and FDH model for eliminating the weakness of conventional DEA models and Have a higher resolution. Also, for experimental study, to evaluate the performance of 20 branches of a commercial bank by considering the indicators, number of personnel and staff working hours as input and free deposits (free of charge and costly deposits) and facilities as intermediate indicators (intermediaries). And the indicators of overdue receivables and received fees have been considered as output and the ranking the branches , and finally efficient and inefficient branches have been identified. And the necessary strategies were given to improve the performance of inefficient branches.

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.

To create a sustainable and appropriate development of the tourism industry, the existence of a capable, cohesive management and coordination between the public and private sectors is very important.

The aim of the present study is to identify and compile a green supply chain model in the tourism industry of Fars province using the qualitative data method of the foundation and to examine the impact and effectiveness of Dematel method.

Data collection method, study of documents and interview with 30 experts who are aware of the subject in question, using snowball sampling method. For data analysis, three stages of open, central, and selective coding have been used.

The results of the present study indicate the extraction of 21 main criteria and 90 sub-criteria that were included in the paradigm model model including causal conditions, contextual conditions, intervening conditions, pivotal phenomenon, consequences. Weight for Final Ranking The relationship between the selection criteria shows that the criteria for designing green processes, customers and other external institutions, green innovation, environmental management approaches, environmental management and performance capabilities, green suppliers, human resource management Energy (with values greater than the threshold) has a higher degree of importance (weight).

Cloud computing is a concept introducing in the world of information technology recently, and provides an environment for sharing sources. In this environment, an efficient and effective scheduling system plays a fundamental role. Hence, the problem of scheduling tasks in cloud computing is a very important issue, which tries to identify an optimal scheduling for performing tasks and allocating an optimal source. The purpose of this research is to provide a new hybrid model for optimization of scheduling tasks based on combination of dynamic adaptive and genetic algorithms in a cloud computing environment. The hybrid model aimed to cover the defects of these algorithms. Based on this model, an initial solution was presented for resolving the weakness of the genetic algorithm, the action of low speed as well as the weakness of the dynamic adaptive algorithm, trapping in local answers. In the proposed model, first, dynamic adaptive algorithm could find an appropriate solution for scheduling problem within a good time using the technique of searching required resources by KD tree and data retrieval in parallel. This solution, as an initial answer, was given to the genetic algorithm, and this algorithm performed the optimal research. As a consequence, the final algorithm, a combination of these two algorithms, provides a better load balancing for cloud resources in a relatively acceptable time.