فهرست مطالب سید عبدالله حیدریه

Knowledge-based companies for attracting talents and paying attention to their training approach are considered to be the cause of the organization's capability and success in the matter of human resources and their development. In this research, the aim is to provide a cause and effect model in the form of dynamic modeling of systems and analysis of scenarios, especially its training and analysis on the performance of these companies. From the point of view of the purpose, the research is considered to be a type of applied studies and from the point of view of collecting the required data, it is descriptive. The research experts are 5 prominent professors of human resource management and industrial management, and Vensim 22 software has been used to model the dynamics of systems. After reviewing the theoretical foundations of the performance indicators in the form of a balanced score card, it is divided into four parts and the model is formed based on the opinions raised in the basics section.The model was quantified and then evaluated with dynamic model validation tests and finally the scenarios were developed and simulated. The results of the scenarios test showed that increasing the amount of replacement and training in the first scenario by increasing the number of talented people in the organization increases the organizational performance and increases the competence management and career development in the second scenario. Talent in the organization, as well as the variable increase in the service compensation system and organizational justice in the third scenario, by maintaining talent, increases organizational performance.

Changing market mechanisms for the production and supply of new environmentally friendly products has become an important issue for companies and marketing units. Therefore, companies should significantly reduce their negative environmental impacts in production, distribution, provision of raw materials and energy consumption. Otherwise, they will be harmed by the laws and customer demand. Such changes in the preferences and demands of customers, which are raised in the form of environmental concerns, have had a significant impact on the innovation of manufacturing companies.

In order to identify the components of green marketing in the dairy industry, the present study has used a quantitative approach. More precisely, in order to present the mentioned model, the Fuzzy-DEMATEL-ISM (Fuzzy-DEMATEL-Interpretive-Structural Modelling) method known as FDISM has been used. Although both ISM and DEMATEL are multi-criteria decision-making methods, they are used to understand the interactions among identified factors and their clustering at certain levels. The ISM method helps to understand the "what" and "how" in theory building and DEMATEL provides direct and indirect effects between components.

In this study, the identification of green marketing components in the dairy industry was considered. After identifying the components of green marketing, the influence and effectiveness of each of these components was determined using the fuzzy Dimetal technique. Based on the results, it was determined that environmental laws and standards and social responsibility of companies are the most influential factors, and customers' purchase intentions are the most influential factors. Finally, with interpretative structural modelling, the mentioned factors are levelled in the form of a model in six levels as follows. Two factors of laws and regulations and environmental standards and social responsibility of companies as the most basic factors are located in the first level and green marketing strategy in the second level and two factors of green change and innovation and green marketing orientation are located in the third level and green production in the fourth level and the four marketing mix factors are placed at the fifth level and the purchase intention factor as the most influential factor is at the sixth level.

According to the research results regarding the importance of green production and attention to food health in the dairy industry, companies should change the design of dairy products to avoid toxic compounds in the production process; Also, the producers of this product should change the design of the products in order to improve the energy efficiency during use, and as the most important factor, the packaging of the biodegradable product should be changed in order to reduce the environmental effects. According to the research results regarding the importance of social responsibility in green marketing and the role of branding in the development of social responsibility, dairy companies producing organic/green products should create a brand and avoid the production and sale of bulk dairy products. In designing and creating a green brand, it is necessary to pay attention to the fact that their title matches the type of products to be useful in creating their brand image. Considering the importance of green market orientation, green strategies and change management and green innovation in the green marketing model, companies producing dairy products should focus on improving the quality of their products and services through a new orientation and strengthening the spirit of change. Showing their effectiveness towards the environment and showing their environmental concerns by using promotion activities to help customers' perception of their originality and also by strengthening the three dimensions of their green tendencies (communications, activities and offers) high green value for products from the consumer's point of view.
The present study faces a major limitation that should be considered in future studies. The model presented in this research examined the effect of variables on each other statically. Considering that the variables may interact with each other, it is suggested that this model might be investigated by the system dynamics method in future research.

In the field of marketing, the most desirable scenario involves the company maintaining an optimal level of market share with an increasing trend over time, as well as preventing any decline or reduction in the market share. Concerning political marketing and elections, there is even more necessary to have such a favorable scenario. Based on the significance of customer retention, this approach maintains that a party can win if it secures the largest market share while minimizing customer attrition. It seems to be an essential approach given the nature of political marketing characterized by the intense competition among political parties, the unavoidable impact of social media, the uncertainty about fulfilling campaign promises, and the risky nature of political transactions (cash vs. credit imbalance) —all of which can contribute to the vulnerability of political marketing, hence a declining trend in the voter turnout. Relationship marketing, as a modern marketing technique, can help political activists to mitigate these challenges, offering effective solutions to minimize campaign costs and increase the likelihood of success in elections. Political relationship marketing has been the subject of inquiry in several studies (e.g., Afjeh’i & Khademi-Garashi, 2016; Talari & Mousavi-Shafaei, 2015). Rizan et al. (2014) delved into the impact of relationship marketing on customer loyalty.A declining trend in the number of electoral votes is one of the challenges faced by political parties in Iran. The issue appears to be rooted in their marketing strategies. In fact, political marketing strategies can potentially present a persuasively alluring image of the candidate’s integrity and virtue while covering up their flaws. Consequently, the politician who has been getting promoted is often perceived as an ideal figure. In most cases, voters may not understand the techniques used in campaigns, succumbing to the persuasive tactics employed by the candidate and thus increasing the likelihood of making a mistake in their choice and experiencing early regret. In fact, insufficient knowledge about the candidate or party contributes to such mistakes on the part of voters. Moreover, the inability to retain voters, driven by factors such as a loss of trust and unfulfilled promises, can result in costly and sometimes irreparable damages to political parties. Considering the drawbacks of short-term marketing in the political arena for those involved and the political parties’ desire for sustained power, relationship marketing seems to be a suitable approach to address the shortcomings without compromising market share, fulfill political parties’ electoral aspirations (e.g., frequent wins), and to ensure that voters get to know candidates and political parties adequately and accurately. In this line, the present research investigates the influential factors in political relationship marketing, addressing the following questions: Can relationship marketing help overcome the challenges in political elections? And what factors are influential in establishing and maintaining the relationship?

There are numerous factors behind party wins in the electoral market. However, according to the theoretical framework of this research, establishing and maintaining a robust relationship between parties and voters, leading to voter loyalty, plays a pivotal role in the electoral success of political parties. Relying on a multi-stage conceptual model, the present study aimed to investigate the connection between relationship marketing and the success of parties in the political market and electoral contests. The study is located within the intersection of political science and marketing management. As an applied research involving field work, it adopted a descriptive–survey, correlation-based approach to investigate the research questions. First, the analysis focused on the effect of relationship marketing variables (i.e., commitment, fulfillment of promises, communication, competence, and trust) on satisfaction. The second step involved examination of the effect of satisfaction on voter loyalty. Finally, the research explored the correlation between loyalty, recommendations to others, and revoting, as influential factors contributing to the success of political parties. In the data analysis, the Pearson coefficient and the correlation coefficient were used to understand the relationships between the research variables.

The research findings indicated a significantly direct correlation between relationship marketing principles and voter satisfaction. The results of regression analysis demonstrated that these principles can predict satisfaction. There was also a significant relationship between satisfaction and loyalty, as well as between loyalty and both revoting and recommendation to others. Finally, a significant relationship was observed between success and revoting and recommendation to others.

The research results confirm that the success of political parties hinges on both retaining existing voters and attracting new ones. This process involves distinct stages: generating satisfaction by applying relationship marketing principles, enhancing and transforming satisfaction into loyalty and fandom through the practical implementation of the principles, adopting fan-driven marketing as a result of the loyalty cultivated, and finally giving recommendations to others. The first and second stages are executed through strategic planning and initiatives of strategists, along with the genuine and reassuring conduct of candidates and party executive agents. The third and fourth stages, on the other hand, rely on the active participation of party loyalists and supporters. Furthermore, two practical methods can be employed to attract new voters: direct and indirect recruitment. In the direct recruitment, the party itself leverages relationship marketing principles to draw in a collective of voters. In contrast, the indirect recruitment is facilitated by party loyalists and supporters—mostly represented by previous voters—and their efforts to embark on fan-driven marketing and give recommendations to other voters.

In order to survive and grow by attracting new customers and providing new services, insurance companies must be able to retain their customers in order to coordinate their strategies with customer needs. With the understanding of this importance, the present study was conducted with the aim of identifying and leveling the components of consumer behavior in obtaining modern insurance services with an emphasis on the institutionalization of ethics.            

The method of the present research is practical in terms of its purpose and it is mixed (qualitative-quantitative) in terms of data collection. The qualitative research method was qualitative content analysis with an inductive approach. The participants of the qualitative part of the research were the senior managers of Central Insurance, and 17 people were interviewed using the theoretical snowball sampling method. The estimation of the desired sample size was done based on the theoretical saturation of the data. The data collection tool in the qualitative part was a semi-structured interview. Triangulation method and Christiansen angle technique were used to check the validity in the qualitative part. Open coding was used to analyze the data. The research method was descriptive-survey quantitative. The statistical population included all central insurance managers and experts, 400 cases were investigated using Shadeh random sampling method, and they were selected for the study, the sample size estimation method was Morgan's table. In order to analyze the data, the method of structural interpretation modeling and structural equations was used. Calculations related to structural interpretation have been done with MATLAB software and analysis of structural equations by phonix software.

The findings showed that the components of consumer behavior in obtaining modern insurance services with an emphasis on the institutionalization of ethics at the highest level of customer profitability and the training of psychological factors and customer retention, the implicit institutionalization of ethics, personal experience, service development and financial position, business space design, risk aversion and recommendations, business environment design, risk aversion and recommendations, uncertainty, sick economy and insurer's commitment.

Institutionalization of ethics and sales ethics in accepting new insurance services is one of the main components of this service and they strengthen the provision of new services in insurance.

The purpose of this study is to analyze the topic of digital marketing environment. The research method is applied in terms of purpose, and in terms of data collection, it is a qualitative research based on foundational data theory. Data were collected through the study of documentary sources and semi-structured interviews with 19 managers and experts active in the field of digital marketing, through targeted sampling and snowball using MAXQDA18 software. In the open coding stage, 242 preliminary codes were identified from the analysis of the interviews. In the second step, axial coding was done using the structures of the axial coding model around the investigated phenomenon. Based on the findings of the research, the concept of digital marketing environment was chosen as the central phenomenon. Causal conditions were placed in the form of four categories of innovation, optimal management, structural factors, convenience, and six main categories including business strategies, educational strategies, innovative strategies, planning and monitoring were selected as strategies. Intervening factors were identified in two categories: strengthening and weakening. Cultural factors, infrastructural factors, education, leadership style, strategies were determined as the background factors of the digital marketing environment. Finally, the consequences of the factors affecting the digital marketing environment were determined at three micro, medium and macro levels.

The creation and development of small enterprises in rural areas will lead to the development and prosperity of the village economy. But in recent years, the cooperative sector has not been successful in production and services, and it seems that they are facing internal and external structural problems including weaknesses such as insufficient information, weak human resources and poor management, lack of financial resources and old technology, and issues such as acquiring knowledge and skills, better access to inputs and more effective marketing of products. These problems have made cooperative companies unable to be dynamic in their business environment and have not acted intelligently in this direction. Meanwhile, organizational intelligence is efficient and effective in the ability to solve problems and respond to the challenges of the external environment. Therefore, adaptability and organizational intelligence are essential for organizations. A company's intelligence creates intelligent activities and methods with market knowledge and environmental scanning which it uses as an adaptive tool to cope with its ever-changing environment. However, the village production cooperatives have not been able to achieve their desired goals in the competitive market due to not having an intelligent structure. Therefore, considering the acute conditions of rural production cooperatives in order to achieve the goals of sustainable development, this research was conducted with the aim of identifying and determining the dimensions and intelligent organizational components and modeling the mutual relationships for the development of rural production cooperatives.

The current research was conducted in two parts, qualitative and qualitative. In the qualitative part, the indicators, components and dimensions of the model were identified and extracted using grounded theory method and in the quantitative part, the relationships between the elements of the model were determined by the interpretive-structural modeling method. The research community of experts included the managers of Ministry of Cooperatives, Labor and Social Welfare, and Ministry of Agriculture–Jahad, who were selected in a non-probabilistic, purposeful way and with the snowball technique in the number of 12 people until reaching theoretical saturation. The method of field data collection is through semi-in-depth interview and researcher questionnaire. The content validity of the indicators was analyzed by the Lawsheh Coefficient Method, and we used the fuzzy Delphi method to screen the components.

Organizational intelligent components for development of rural production cooperatives as follows: intelligence enablers (human intelligence, managerial intelligence, technological intelligence, strategic intelligence, technical intelligence), organizational intelligence capabilities (organizational learning, information and data, customer relationship management, intelligent thinking, process), Intelligent development contexts (infrastructure, cooperation and communication, financial, structure), intelligent governance (government support and incentives, organs and institutions, rules and regulations, competition), intelligence strategy (competition development, market development), intelligence performance (sustainable competitive advantage, productivity improvement, service improvement, rural development). The results of the quantitative part and interpretative-structural modeling showed that the components in the structural model are located at 12 levels, so that the components of "laws", " government support and incentives", "competition", and "structure" is the most effective and basic components and "competition development" and "market development" is the most impressive components for the success of organizational intelligence in rural production cooperatives.

Based on the results, improving the organizational intelligence of village production cooperatives depends on "market development" and "competition development". In order to improve these components, the most effective components should be improved, which in this research are "laws" and "government support and incentives", and managers should make the improvement of these components the first priority of the decision for cooperative development. This finding shows that the laws are not suitable due to the rapid changes in the business environment, and the government's support, such as the information transparency law and the creation of databases, the development of social support, and the comprehensive package of special incentives. Youth cooperatives and knowledge-based cooperatives should be improved in the field of data mining and optimal financing policies. Also, the two components "competition" and "structure" are at the second level of importance and effectiveness, and this finding shows that the creation of competition between cooperatives gives motivation to gain competition in the market, and cooperatives need to have a new structure.

Numerous studies have emphasized the need to pay attention to succession management in the human capital management of organizations and have pointed to its vital and important role in the development of employees' careers and have mentioned it as a model for organizational survival. The purpose of this study is to "design a model of factors affecting the implementation of succession planning in universities." The present research is descriptive and exploratory in terms of nature and method and mixed (qualitative and quantitative) data collection method. The statistical population of the study includes experts, managers and experts with experience in the field of human resource management and the required data in the qualitative section during interviews with 14 university administrators based on semi-structured and targeted interviews and snowball method. In a small part, it was obtained by distributing a researcher-made questionnaire among 145 people. Quantitative data analysis using SPSS software and in the qualitative section, Atlas.ti software in three stages of open coding, axial coding and selective coding inspired by the systematic paradigm model of Strauss and Corbin, drawing and the central phenomenon of research. Employee development factor succession "Determination, validity and reliability of interviews using Goba and Lincoln (1980) criteria and retest method, validity of questionnaires from content validity method and convergent validity based on Lavache table and its reliability based on Cronbach's alpha And approved Succession human resource development,mixed methods, universities

Time is a key structural component of our lives and the world. It is therefore not surprising that consumers engage in their daily consumption choices and activities with multiple time orientations - past, present and future. In industrial procurement, information retrieval describes the action that a buyer takes to access all relevant information sources for a purchasing decision, often involving data from a variety of sources in which time plays a more effective role. Therefore, the purpose of this study is to evaluate the effect of time on consumer behavior with emphasis on industrial goods.

This research has used a combined approach to investigate the effects of time on consumer behavior. The research method is a one-way mix for collecting and analyzing quantitative and qualitative data in a study or a set of studies that is based on the priority and sequence of information. In this research, first the qualitative approach is then quantitative. To solve the research problem in the qualitative stage, the meta-combined approach has been used.

In this study, the seven-step method of Sandlowski and Barroso (2007) was used, which finally presented the effects of time on consumer behavior in three psychological, economic and social dimensions. Psychological dimension including 11 components, economic dimension 7 components and social dimension 6 components were identified. In this paper, the prioritization of the identified components of meta-combination with two approaches of Demetel and ANP is presented and 12 experts were used to determine the sub-criteria.

The results of the study can be a guide for marketers and marketing managers, and by considering the components identified in this study, they can take a big step in advancing their goals and pave the way for achieving the goals.

Human resource development is one of the important tasks or in other words the most important task of human resource management in organizations, which plays a vital role in the survival of organizations by focusing on training and helping the development of employees. One of the best ways to develop employees and the organization is to use the succession system in the career development of employees, which will have numerous benefits for both the employee and the organization. This research has been done with the aim of designing and presenting a model of human resource development with a succession approach in universities.The research is based on data theory and is descriptive and exploratory in nature and method, and data collection is qualitative and based. It is based on semi-structured and purposeful interviews. The data required for this study were obtained by interviewing 14 university administrators in the country who had experience or expertise in the field of human resource management. Data analysis was performed using SPSS and Atlas.ti software in three stages of open coding, axial coding and selective coding inspired by the systematic paradigm model of Strauss and Corbin and the validity and reliability of the data using participants' review methods. And review obtained by experts. The central phenomenon of the present study is the development of employees based on the system of succession planning "which according to the causal, contextual, intervening conditions and its consequences, strategies have been formulated and the final model has been presented.

Along with the expansion of environmental challenges, the demand for green products has increased significantly, and the companies that produce these products need a deeper understanding of green marketing components. Based on this, the current study seeks to identify and analyze green marketing components in dairy industries.

The current study identified the components of green marketing using the inductive content analysis approach. Data were collected using semi-structured interviews. The participants included experts in the field of food industry and dairy industry owners. They were selected using purposeful sampling.

The findings indicate that green marketing consists of 11 components and 51 sub-components (sub-categories). These components include green marketing strategy, corporate social responsibility, green product, green production, environmental laws and standards, consumers' intention to purchase dairy products, green marketing orientation, green promotion, green distribution, green price, and green innovation and change management.

Despite the importance of environmental challenges and the tendency of consumers to buy green products, previous studies have mainly focused on analyzing the intention and behavior of consumers of green products, and so far, a comprehensive analysis of green marketing components in the country's food industry has not been carried out. Based on this, the current research is an attempt to fill this research gap and provide a useful framework for green marketing in this industry.

Today, the most important factor in the success of organizations is human resources, and talent management is important for the optimal use of human resources capabilities. Especially in knowledge-based companies, where manpower is the most valuable asset of these companies. The purpose of this paper was to simulate and evaluate a model for talent management in knowledge-based companies using the system dynamics method and balanced scorecard. The model variables are extracted by studying the references related to the subject of previous research and by using the performance evaluation indicators of the balanced scorecard in 4 dimensions of finance, customer, growth and learning and, internal processes and design in the form of a dynamic model. After designing the model and confirming it by experts, the model was quantified and then evaluated by dynamic model validation tests, and finally, the scenarios were developed and simulated. The results of the scenario test showed that increasing the amount of substitution and training in the first scenario by increasing the number of talented people in the organization will increase organizational performance and increase competency management and career development in the second scenario By using talent in the organization as well as increasing the variable of the service compensation system and organizational justice in the third scenario, by maintaining talent, it will increase organizational performance.

The purpose of this study was interpretive structural modeling of the factors affecting supply chain optimization in the electricity industry. In this study, using a mixed method, a qualitative-quantitative approach was employed to model and verify the factors affecting supply chain optimization. To this end, through content analysis and thematic analysis using Novo software to form thematic networks, a qualitative model of factors influencing supply chain optimality was designed. In order to formulate a basic pattern of the factors affecting supply chain optimality, 23 experts in the electricity industry were selected through purposeful sampling method. In the quantitative section of the study, interpretive structural modeling (ISM) approach and MICMAC analysis were used. The results showed that the initial framework of supply chain optimality model has six dimensions including supply chain performance, supply chain management, supply chain risk management, supply chain quality management, production and operation, and supply chain stability. In the ISM graph, the variables were categorized at different levels, in which the "agency" and "strategy" factors were the highest and "customer satisfaction" was the lowest factor. After MICMAC analysis, the variables were categorized in three groups of independent variables with 11 variables, with four variables and dependent variables with 10 variables. No variables were included in the PA.

Rapid technological changes, increasing global risks, globalization and privatization expectations are among the environmental features that organizations have always faced and to achieve success in this environment, agile features are the basis for creating a competitive advantage for it. They happen. Agile supply chain has always been used as a critical strategy for organizations to face the instabilities in dynamic business environments. In this research, focusing on the agility of the supply chain of the country's health industry and investigating the effect of its intelligentization, an attempt was made to create a dynamic model in the first step in order to simulate the behavior of the supply chain by using the variables extracted from the research literature related to the agile supply chain and experts' opinions. The health industry of the country should be created and then based on this, by identifying the existing gaps between the current situation and the desired situation, these gaps should be reduced as much as possible by presenting scenarios. System dynamics method and Vensim DSS software are used for modeling. The results of this research show that the greatest impact in the process of reducing the identified gaps in this direction can be created in the country's health industry by focusing on supply chain automation and intelligent communication.

Today's most successful companies build their entire business around the customer, and for the customer, experience is the single most important determinant of loyalty. 84% of customers say that the experience a company offers is as important as its products or services - and yet there is a huge gap between what a customer expects and what most businesses actually offer. Customer orientation and attention to consumer behavior is the key to the success of many service businesses, of which insurance companies are one. The purpose of this study is to provide a model of consumer behavior in obtaining new insurance services based on the data approach of the foundation. The statistical population of this study included 17 Experts from academic and insurance industry who were selected by snowball method and interviews were used to collect the required data. In this study, an attempt was made to interview people who have more than ten years of work experience and have knowledge of issues related to consumer behavior and modern insurance services. Data were analyzed using a qualitative method and data approach of the foundation. Data analysis was performed by open, centralized and selective coding and finally led to the presentation of the final model including six main dimensions and twenty-seven sub-dimensions.The results show that the pattern of consumer behavior in obtaining new insurance services revolves around the central category of marketing of new insurance services and development of services.

In today’s competitive situation, marketing managers are looking for ways to obtain competitive advantages and to increase market share. Stimulating people’s sweet feelings towards good old days, nostalgic marketing strategy could serve as a way of obtaining such competitive advantages. This study aimed to identify the influential factors of nostalgic marketing and provide a model for it. To this end, of the studies conducted from 2000 to 2019, 107 relevant papers were found, 35 of which were selected for analysis and 31 variables were identified. To assure quality control, the variables were screened using Fuzzy Delphi technique and the opinions of 20 experts. Finally, 18 variables were selected as the most important variables and were presented as a conceptual model within four categories- namely: store features, personal characteristics, psychological traits and product features. Then, the variables were prioritized using experts’ opinions and Fuzzy Analytic Network process. Psychological traits (weight=0.331) and stimulated nostalgia (weight=0.0698) were concluded to be the first priority amongst variables and sub-variables, respectively. The provided model could serve as a foundation for developing nostalgic marketing strategy.

Research and development (R & D) play an important role in the development of societies and the country's economic growth and developed and industrialized countries have put a considerable investment on these issues. The aim of this study was to investigate the effects of research and development on the organizational agility and productivity of the manufacturing companies in the industrial town of Semnan. In this research, after reviewing theoretical foundations and previous studies, a model of the effects of research and development on organizational agility and productivity was presented and validated using structural equation method. Then, based on the obtained results and using experts' opinions, a dynamic model was designed to show the dynamics of the variables over time.  The validity of the model was evaluated and validated using system dynamic approach. The results in the first section indicate the positive significant impact of research and development activities on the agility and productivity. Additionally, the results of different simulations in the model revealed that an increase in research and development budget through a self-reinforcing loop after the twelfth month from the twelfth month after can make an increase in the agility and productivity in the form of exponential growth.

These days, due to the increasing acceleration of globalization process all around the world, the supply chain has taken on new dimensions and has become much more complex than before. This research is a qualitative study to propose an intelligent supply chain model for providing services in Omid entrepreneurship fund. This research has been conducted by grounded theory approach, Strauss and Corbin model and it has progressed to the theoretical saturation of the interviewees. Population of interest were selected through purposeful sampling from university experts and managers of Omid entrepreneurship fund. A total of 14 semi-structured in-depth interviews were conducted. From the text of the interviews, 1165 open codes were counted and finally 38 codes were selected as main components. To code, atlas TI software version 8 was resorted and the components were identified and a conceptual model of the research was drawn. The most important major factors include intelligent information flow, intelligent financial resources flow, information technology, intelligent communication, transparency, sharing and expert human resources. The components of other factors are categorized under the main categories and then the results and consequences of the implementation of the intelligent supply chain are divided into four levels: company, customers, community and government.

Supply chain management can lead to a sustainable competitive advantage. The present study is in search of paper industry supply chain strategies with respect to supply chain dynamics and lean supply chain using dynamics in order to gain a competitive advantage in Iran Wood and Paper Industries Company (Chooka). For this purpose, first, using organizational data and decision makers' participation, the system dynamics model was designed and after validation, the model was simulated in a ten-year horizon. According to the behavior of target variables and model sensitivity analysis in the simulation horizon, policies in line with lean supply chain strategy and sustainable profitability strategy of Chooka business were designed and applied separately and in combination to the model. And analyzed. According to the findings of the model simulation, productivity promotion policies through the use of lean methods in internal processes, increasing the quality of paper products, increasing innovation in the production and supply of paper products, improving raw material supply management And strategic partnership with suppliers of raw materials, industrial waste management, waste and solid waste management and staff empowerment have been presented as the best combined policies of the supply chain strategy of Iran's wood and paper industries.

Content marketing is a growing approach to boosting customer awareness, building trust and creating more value. The aim of this study was to "provide a model of digital content marketing in creating consumer value with a qualitative approach and utilizing the data theory of the foundation." The statistical population of the study included 13 academic experts and digital content marketing activists who were purposefully selected for interview through snowball method. The interview process was semi-structured until theoretical saturation was achieved. By analyzing the data during three stages of open, axial and selective coding, 190 initial codes in the form of 17 axial codes and 6 selected codes were classified and the final conceptual model was developed in the study population. Findings showed that the process of achieving a digital content marketing model is a multifaceted issue that requires simultaneous attention to causal factors (content marketing mix design, focus on content production and online platform building), contextual (digital market creativity; customer attention in Content production, low cost content production and digital branding), interventionist (web readiness and accessibility; Content is the distribution of relevant content, creating interactive content. Creating value for the customer by increasing information and decision-making power, creating value for the customer by improving customer relationships, increasing the power of content marketers, improving the content provided as implementation consequences The digital content marketing model was identified.

The aim of this research was to design and explain the organizational Intelligent model in Iranian production cooperatives. Based on its objective, this is an applied research while it is a mixed (Qualitative-quantitative) research in terms of the nature of its data. In this Regard, the aspects, components and indexes of the model in the qualitative section by interviewing 15 experts in order to confirm the theoretical sufficiency in a data-based method. Then, in a quantitative part and in a statistical outfit of 8361 people, including employees and managers of production cooperatives across the country, based on Cochran's formula, 350 people were selected by random- stratified sampling method based on the provincial cooperatives office to explain the model. The model was identified based on the aspects of intelligence empowers (causal factors), capabilities of organizational strategies (phenomenon-orientation), intelligence development context (backgrounds), intelligence governance (interventional), intelligence strategies (strategies), intelligence performance (consequences), along with 24 components. Then the relationship between the mentioned components were determined using Interpretive Structural Modelling method to design the model. The designed model was tested and explained by structural equation modelling method. Findings of the SEM shows that ther Dimension "Intelligent Development contexts" on "Intelligent enablers", "Intelligent enablers" on "Organizational Intelligence Capabilities", "Organizational Intelligence Capabilities", on "Intelligent Strategies", and "Intelligent Strategies" on "intelligence performance" has a significant and positive effect. The results indicate that a higher level of intelligent contexts and enablers can improve the performance of production cooperatives and highlight the importance of strategies.

Consumers increasingly feel that time is scarce. To drive time expectations, many marketers have begun communicating duration metrics—information about how long most consumers typically spend on a particular activity. Despite the rising prevalence of duration criteria, little is known about how they shape consumption experiences. Therefore, the aim of this study is to identify the effects of time on consumer behavior

For this purpose, with the Meta Synthesis Approach which includes the seven steps of Sandelowski and J. Barroso (2006), a systematic evaluation and analysis of the results and findings of previous studies has been done and finally 42 articles had been chosen. In the quantitative section, using the Shannon quantitative entropy method, the components of the identified themes are prioritized.

In total, the effects of time on consumer behavior were identified in three dimensions including psychological by eleven themes with weight (0.58), economic by seven themes with weight (0.15) and social by six themes with weight (0.27). The meta-analysis of this study provides insight into the need to identify the time-consuming effects on purchasing behavior that is useful for presenting marketing strategies from the time of purchase of products.

The purpose of this study is to find a comprehensive model for talent management in knowledge-based companies.

Design/ methodology/ approach:

 The method of the present research is descriptive-survey in terms of applied development purpose, in terms of data collection method, and in terms of approach, it is a mixed exploratory research. In the qualitative part of fuzzy Delphi techniques, structural self-interaction matrix and influence-dependence analysis It has also been used in a small part of structural equation modeling.

Based on the research findings, 13 underlying factors of talent management, 4 dimensions of talent management and 4 performance outcomes in knowledge-based companies were identified, leveled and status determined, and the degree of influence (influence) and dependence (influence) of each were determined. The findings showed that the variables of business strategy, employment rules and opportunity identification have the greatest influence and influence. It was also found that the underlying factors on talent management and talent management have a positive and significant effect on performance.

Limitations & consequences:

 The extent of talent management, the dispersion of knowledge-based companies in the four provinces of Golestan, Semnan, North Khorasan and Razavi and restrictions on access to them, the prevalence of coronavirus and lack of easy access to experts have been among the limitations of this study. 

Practical Consequences:

 Knowledge-based companies can improve company performance by relying on underlying factors and dimensions of talent management. 

Innovation or value of the Article: 

The article was able to combine the underlying factors and dimensions of talent management and performance outcomes and introduce itself as a new field.

This study aims at designing a culture-creating model through Grounded Theory Approach (GTA) for the optimal consumption of drinking water in Semnan the province. The statistical population of the study included 21 experts of the Urban and Rural Water and Wastewater Industry (URWWI)in this province. Because of the constructive nature of the research, the GTA was followed and snowball sampling technique was adopted for drawing the sample. The main data collection tool used in this research was in-depth interviews with the experts of the URWWI in this province. Findings of the research, after completing the three steps of the open, axialو and selective coding process showed that the paradigm model of the study consisted of 172 final codes, 18 main concepts, and 6 general categories. The results showed that social and individual factors, governmental bureaux and organizations ,senior managers, legal factors, and technical-engineering factors as causal factors; individual underlying factors and social issues as underlying factors; managers’ mindsets and support, performance of those in charge , the will of the society as intermediary conditions; proper performance, continuous training at various levels, advertising and media information as strategy; individual consequences, short-term results, long-term results, national and regional results as implications lead to the emergence of a pattern of culture-creating in the optimal use of water resources of the country.

The purpose of this study was to determine the comprehensive performance evaluation criteria to improve the performance evaluation system of employees using a new model of data envelopment analysis based on 360-degree evaluation for employee ranking.

In this study, first, performance evaluation criteria were identified by studying the research background. Questionnaires designed based on the opinions of twenty-five staff of the organization, three senior managers, ten professors with university experience and ten active and selected students of the university (a total of 48 people in a 360-degree structure) are completed and then using A new model of designed data envelopment analysis, employee ranking, was performed. Twelve performance evaluation indicators extracted from the research background by experts in four categories with the titles of service compensation system in the first category; Job security, perceived organizational justice, perceived organizational support, and physical working conditions in the second category; Job characteristics, job clarity and ability of employees in the third category and job feedback, job stress, organizational citizen behavior and motivation in the fourth category were ranked and documented using a linear optimization model based on the goal programming and policy. Data envelopment analysis resulted in a complete ranking for the staff of a university unit with 25 staff members.

Interpretation and analysis of structured results obtained from the use of data envelopment analysis policy based on 360-degree evaluation can be the basis for improving human resources and continuing periodic evaluation to continuously improve employee performance in the organization.

Originality/Value:

The present study can help their evaluations by using various indicators comprehensively as well as 360-degree approach and considering the external and internal challenges of the organization.

The purpose of this study is to modeling the factors affecting supply chain optimality based on the system dynamics technique in the power industry. The present study uses a hybrid approach to develop a qualitative-quantitative approach to formulate and validate the factors influencing the supply chain optimality. To elaborate and identify the optimal factors, from content analysis and thematic analysis using Novio software to construct themes, a qualitative model of factors influencing supply chain optimality was designed. On the optimality of the supply chain, 23 experts and experts in the electricity industry with purposive sampling method were selected. In the quantitative part, the system dynamics method was used for modeling, and then the data collected was analyzed by Venice software. This simulation was carried out over a one year period and represents a long-term horizon. Then the results of this simulation were presented and interpreted on the variables studied. Determining the relationships between variables and the types of variables can lead to a better understanding of the issue and to making appropriate decisions on the supply chain optimality problem.