سیروس فخیمی آذر

Investment attraction is considered one of the most important economic variables in most countries of the world, so that most of the countries' economic goals can be achieved with initiatives in this field. The aim of the current research is to provide a model of value creation with the approach of attracting and developing investment in free zones according to the conditions of Iran. In the present study, experts were interviewed in free zones using the researcher-made in-depth interview tool. Interviews were analyzed with Max Kyuda qualitative data analysis software and three-stage open, central and selective coding. The research findings include causal conditions (national factors, globalization of free zones, infrastructural and technical, depth of knowledge, culture building, quality of statistics and information), intervening conditions (political and economic factors, instability of management in free zones, competitiveness and legal system) and finally background conditions (environmental conditions in terms of territorial development of free zones, potentials of free zones, scientific potentials, geopolitical situation, scientific potentials, economic, political and international situation). The analyzes show that "achieving value creation, and value creation with the approach of investment attraction and development" is the central category and the most important value creation strategy in free zones, support for the organization of free zones, revision of laws and free zones, improvement of foreign relations, the development of the knowledge-based economy and the strengthening of competitiveness. Finally, in order to validate the designed model, the content value of each index in measuring the proposed concepts was analyzed by structural equation modeling.

Customer behavioral intentions are customers' perceptions of service providers in terms of service delivery. The main purpose of this study was to identify the factors affecting the behavioral intentions of customers based on organizational ethics and social responsibility in the cosmetics industry.

A mixed research approach was used to conduct the research. In the qualitative part of the research community, all experts and marketing experts who had experience in the cosmetics industry were selected using purposive sampling of 15 experts as a sample. The interview tool was unstructured. In order to analyze the findings obtained from the qualitative interview, the method of inductive content analysis based on coding was used. In a small part of the statistical population, all customers were cosmetic brands such as: Dior brand, Chanel brand, Stiloder brand, Guerlin brand, Clarins brand, Clinic brand in Tehran, which were selected as a sample by random sampling method of 251 people. The questionnaire was made by a researcher. Exploratory factor analysis and one-sample t-test were used to analyze the quantitative data.

In the qualitative part, the findings of the interview analysis included 38 concepts that were divided into 5 main categories. The results of the quantitative section showed that in all five factors of the qualitative section there is a significant difference at the significance level of 0.000 (p-value = 0.00 <a =% 1). Therefore, all five factors are effective for customers' behavioral intentions and should be considered in organizational ethics and social responsibility.

The results showed that the factors affecting customer behavioral intentions based on organizational ethics and social responsibility in the cosmetics industry are: 1- Ethical relationships with customers 2- Dynamics 3- Organizational support 4- Marketing and analysis Market and 5-. Customer Orientation.

The purpose of this study is to model the electronic marketing system representation of Sepahan Isfahan Oil Company based on interactive/ quantitative analysis (IQA). The methodology of this research is developmental based on the conceptual and analytical nature of the mentioned result, because it seeks to develop the electronic marketing model of Sepahan Isfahan Oil Company with the aim of linking the stimuli and consequences of the electronic marketing dimensions of Sepahan Isfahan Oil Company. Combined research category (qualitative / quantitative). In this study, three simultaneous meta-synthesis and Delphi analysis in the qualitative part and systematic representation analysis based on interaction with focus groups in the quantitative part were used. The results in the qualitative section, reviewing 32 studies in the period 2018 to 2020, indicate the existence of 12 approved studies, based on which the two main components of communication function and accelerated e-marketing were identified with 15 propositional themes. Lead to the consequence of ownership in network marketing in the region of Sepahan Oil Company in terms of distribution and major sales of its products. It was also found that presenting the products of the day through holding conferences and special exhibitions as a stimulus for the accelerated functions of electronic marketing in Sepahan Oil Company can have the consequence of eliminating intermediaries for fast delivery of products to customers.Keywords: Systematic Representation Modeling; Electronic Marketing; Sepahan Isfahan Oil Company.

Research Method The present study has been done with two types of qualitative and quantitative approaches. The statistical population of this research in the qualitative part includes 10 theoretical experts (marketing professors) and experimental experts (food industry managers) and the statistical population of the research in the quantitative part includes 400 customers and consumers in the food industry. Sampling was done in a non-probabilistic and purposeful manner. Data collection tools are interviews and questionnaires. For the analysis of specialized interviews, the method of content analysis has been used. The identified indicators have also been validated by fuzzy Delphi method. Finally, the final research model with structural-interpretive method and LISREL software is presented. Research data analysis was performed in the qualitative phase with MaxQDA software and in the quantitative phase with Matlab software. To achieve the research objectives by analyzing interviews with experts, a set of practical indicators of sensory marketing were identified. The results of the analysis show. Brand management is the underlying element of the model that influences brand strategy, identifying target customers and sensory marketing. These factors, in turn, lead to emotional communication, mind management, and two-way interaction with customers. In this way, brand experience management can shape the brand personality of target customers and sensory branding activities can be successfully achieved.

The purpose of this study is to present a model of internationalization of small and medium industries with marketing innovation: with emphasis on the mediating role of market orientation and marketing capabilities in the leather industry of East Azerbaijan province. The statistical population in the qualitative sector includes experts, CEOs and senior managers of SMEs in the bag and shoe industry of East Azerbaijan province. The sample size was considered as 40 by theoretical saturation method and snowball. The statistical population in the quantitative part was equal to 1620 active units in East Azerbaijan province. The statistical sample based on Morgan-Krejcie table was 310 people who were selected by simple random sampling method. Of the mentioned number, 345 units are related to the northern region of East Azerbaijan province, 502 units are related to the western region of the province, 217 units are related to the southern region of the province and 556 units are related to the eastern region of the province. The data collection tools in the qualitative stage were semi-structured interviews and group discussions and the data collection in the quantitative stage was done through a researcher-made questionnaire by field method. Content analysis method and maxqda software were used for qualitative data analysis and structural equation modeling method was used for descriptive data analysis using spss and smart pls software.

Statistical Process Control (SPC) is a powerful set of problem-solving tools that stabilize production processes and increase the ability to produce high quality product. Classic control diagrams, using precise and definite data, place production processes into two groups: under control or out of control; while Fuzzy sets by defining continuous membership functions and using ambiguous, indefinite data, triangular and trapezoidal Fuzzy numbers, classify into these categories: under control, relatively under control, relatively out of control and out of control which express the quality level of the product more realistically.

This research is an applied and descriptive research with the aim of designing an applied model of Statistical Process Control by Fuzzy Mode and Middle Fuzzy and comparing its results with Classical Method in Dadash Baradar Ind. Co. in Tabriz. This method of data collection to run the model follows the sampling system at the inspection station and is in the form of 30 samples of 50 chocolates.

According to the seven defects of chocolate, which include: color, taste, acidity, sugar blossom, tissue factors and foreign substances, the nature of the produced chocolate was determined. In the Classical Method, 28 cases under control and only 2 cases out of control were identified, but in the study with Fuzzy SPC Method, 20 samples under control, 4 samples relatively under control, 4 samples relatively out of control and 2 samples were out of control.

Research results shows the sensitivity of the Fuzzy SPC Method compared to the Classical Method; as a result, identifying process changes is more accurate and faster, and accordingly practical suggestions have been provided to the company.

In engineering and industrial production, the quality control and quality engineering department are designing methods by which the factory can ensure the quality and customer-friendliness of its products. The main topic of quality control is related to sampling of products, inspection of those samples and generalization of results to the total accumulation of the product, which is done based on Statistical Method. This study aims to design an applied model of Statistical Process Control in a Fuzzy Environment and investigate its effects on Dadash Baradar Industrial Company. This is an applied and descriptive research. Considering the seven characteristics of Chocolate, the defects of the products are identified. Library studies are carried out to extract the number of defects, as a result of which a Fuzzy Mode Method is designed, then through meetings with experts and review of products samples, Fuzzy numbers appropriate to the type of defect were identified. Next, using Matlab software for the Fuzzy Mode Method, it was coded in U-C diagram to display the outputs as linguistic terms: under control, relatively under control, relatively out of control and out of control, which represent the quality level of the product. Based on the results of this model, it was found that the Statistical Process Control method in Fuzzy Environment has a more accurate and intelligent performance than the classical method. Due to this important issue, implementation of the new method was proposed to the company

Its important to try to apply risk management techniques to reduce risk in customs. The purpose of this research is to develop a model of risk assessment management model using data mining algorithms. This research is based on descriptive and analytical methods based on data mining algorithms and also the present research is of method and nature, qualitative-quantitative type. The statistical population of this research includes experts and policy makers, managers and senior customs consultants of Khuzestan . In qualitative method section, 14 expert managers and senior consultants were considered, 14 expert colleagues of the organization, 10 university professors for the initial extraction of the model in the quantitative part, all managers and senior customs advisors of Khuzestan as the statistical population of the research. Were taken. In both qualitative and quantitative phases, sampling was done judiciously and purposefully. In this research, the decision tree algorithm was used to build a risk management model and analysis of customs data, which is a decision tree algorithm and analysis of customs data from Rapid miner software version 9.1. The results showed that among the risk factors identified in the transit procedure, the currency value is the highest and the type of transit is the least important. Among the risk factors identified in the insurance import procedure is the highest importance and the net weight is the least important, and among the risk factors identified in the net weight export procedure is the highest importance and the currency value is the least important.

The purpose of this study was to design an optimal model of venture capital development in Iran using grounded theory. The research method was mixed qualitative and quantitative. For this purpose, firstly, the qualitative approach underlying the paradigmatic model of research including causal conditions, interventionist conditions, contextual conditions, strategies, outcomes, and pivotal categories of venture capital has been extracted. Data were collected through qualitative interviews. The statistical population of the qualitative sector includes venture capital experts who were selected by theoretical sampling method for 20 interviews. At the quantitative stage, each of the extracted categories has been verified using confirmatory factor analysis. The data collection tool in this section was a researcher-made questionnaire that was designed based on qualitative extraction concepts. This questionnaire was distributed among the sample members after determining the validity and reliability. The statistical population of the quantitative section consisted of managers of stock companies. The sample size of this section is based on the recommendations of 210 confirmatory models. The qualitative results showed 67 concepts in the form of 15 sub-categories and six main categories to develop venture capital. The results of the quantitative section also showed that each of the main and sub-categories extracted from the research experts can be generalized to the managers of the stock companies.

This research is the design of an optimal model for the development of risky investment in the Tehran Stock Exchange using the underlying theory and fuzzy AHP hierarchical analysis process. 

A mixed quantitative and qualitative approach has been used to achieve the research goal. For this purpose, in the first stage, using a qualitative approach based on the research paradigm model including causal conditions, intervening conditions, contextual conditions, strategies, consequences and the main category of risky investment are extracted and in the quantitative stage each The extraction of categories was verified using factor analysis. In the quantitative part, descriptive statistics such as mean, standard deviation, tables and graphs are used to examine the descriptive status of research variables and the structural equation model in LISREL software is used to test the main model. The sample size of the qualitative stage is determined based on theoretical saturation and the sample size of the quantitative part is determined based on the recommendations of confirmatory models. Data collection tool in the qualitative part of the interview and in the quantitative part of the data collection tool was a researcher-made questionnaire that was designed based on the concepts extracted from the qualitative part. This questionnaire was distributed among the members of the statistical sample after determining its validity and reliability. Finally, it is ranked using the fuzzy AHP model. 

a question that this research seeks to answer. On the other hand, the researcher has faced the issue that in our country, due to the growth of knowledge and expertise of individuals, the number of start-up companies is increasing every day and these companies need risk capital to finance. Accordingly, in the first purpose of this research, it examines the conditions for the formation of risky investments and in the next stage and purpose, it pays attention to what factors should be considered for the success of risky investments in the Tehran Stock Exchange. do. Exchange. It can be said that in order to develop risky investment in the management dimension, the experience and skills of business managers in various sectors should be strengthened. They have more managerial and leadership skills. The next issue in the paradigm model of venture capital development is the different strategies that can lead to the development of venture capital. Strategies in the paradigm model show the types of paths to reach the goal. 

The results of this section show that the factors of supporting venture capitalists and government support can be considered as two main strategies in this field. The results show 67 concepts in the form of 15 subgroups for the development of risky investments. He said: "Each of the main and sub-categories extracted from research experts can be generalized to the managers of listed companies." In the present study, in order to prioritize the main categories of the study, the fuzzy AHP technique was used and to calculate the compatibility, Gogus and Butcher methods were used. 2009) The weight of the components is obtained and the categories are prioritized based on them.

The psychological ability of nurses on the one hand increases the mental strength of individuals to cope with stressful situations and on the other hand controls many factors that cause job stress. Therefore, this study was conducted to determine the psychological factors and its effect on the ability of nurses.

The present study was a mixed type (qualitative-quantitative) and phenomenological strategy conducted in Al-Ghadir Hospital in Tabriz in 2019. The statistical population of the qualitative part of the study consisted of 15 nurses and the statistical population of the quantitative part of the study consisted of 89 nurses of Al-Ghadir Naja Hospital. Sampling was done by simple random method. The tool used to record the data was a questionnaire that was done in Smart PLS software environment and by survey method with hidden content analysis technique.

The findings of open and axial coding showed that the psychological factors affecting the ability of NAJA nurses are in the four areas of self-reliance, shyness, mutual trust and legal awareness. Also, the results of the path test showed that self-reliance has a path coefficient of 0.862, camaraderie has a path coefficient of 0.752, mutual trust has a path coefficient of 0.734 and legal awareness has a path coefficient of 0.948.

Policymakers and managers of the health system should pay attention to the empowerment of nurses who make up the majority of the hospital staff and provide components that improve psychological factors and thus the empowerment of hospital nursing staff.

The present study was conducted with the aim of localizing technical analysis indicators in the Tehran Stock Exchange in order to predict stock price movement trends in implementing high frequency trading by the momentum method. In this study, calibration of exponential moving average, Bollinger Bands, Relative Strength Index (RSI), degree of difference, stochastic indicator and cash flow index was performed using cellular automata algorithm. The statistical population of this research consists of data obtained from transactions performed in the Tehran Stock Exchange during a three-year period from 7/23/2019 to 7/22/2019. According to the obtained results, there is a need to change the periodicity of the indicators calculations, so that the indicators of exponential moving average, Bollinger Bands, relative strength index, degree of difference, the stochastic indicator, the cash flow index have been changed from 14 to 2 days, 20 to 2 days, 14 to 13 days, 12 to 2 days, 14 to 4 days, and 14 to 20 days, respectively. As a result of the changes made, the increases in predictive power of the above indicators were achieved up to 1.35%, 36.90%, 1.89%, 30.52%, 64.20%, 0.24%, respectively.

Compulsive buying has become an important area of research in the field of consumer behavior research today. The importance of studying compulsive buying behavior stems from the nature of its negative aspects in consumer behavior. Therefore, identifying the factors affecting the facilitation and development of such purchases is needed. In this paper, for the first time, the impact of gender adjustment on the relationship between materialism and compulsive buying in the garment industry is evaluated. In this study, the validity and reliability of the questionnaires were measured. The statistical population of this study includes customers of clothing shopping centers located in Hamadan province in Iran. Then, due to the unlimited statistical population, and according to the Krejcie and Morgan table, 384 individuals were selected as sample. The sampling method of this study is multi-stage cluster sampling. In the next step, in the descriptive statistics section, many indicators on demographic information were reported. Then, mean, standard deviation, variance, elongation, and skewness indices for the components were obtained using SPSS software. In the final step, in the inferential statistics section, the conditional process analysis was measured using the PROCESS macro effect of the moderator. The results of this study showed that materialism has a positive and significant effect on compulsive buying and materialism has a positive effect on compulsive buying.

The purpose of this study was to design an optimal model for the development of risky investments in the Tehran Stock Exchange using grand theory and fuzzy AHP. The research method was a mixed method. In the first stage, using a qualitative approach, the basis of the research paradigm model has been extracted. The data collection tool was in the qualitative part of the interview. The statistical population of the qualitative section includes experts of investment funds, and 20 experts were selected for interview by theoretical sampling method. The data collection tool in this section was a researcher-made questionnaire that was designed based on the concepts extracted from the qualitative section. The statistical population of a quantitative part included the managers of listed companies. The sample size of this section has been determined based on the recommendations of the confirmation models of 210 people. The results of the qualitative section show 67 concepts in the form of 15 sub-categories and 6 main categories for the development of risky investment. The results of the quantitative section also showed that each of the main and sub-categories extracted from research experts could be generalized to the managers of listed companies.

Attention to employees as the largest asset of the organization is a phenomenon that with the increasing growth of information and more complex jobs has increased the importance of staff training. The purpose of this study is to introduce a model of employee empowerment with training. The statistical population includes the staff of the specialized police headquarters of East Azerbaijan province and the sample size using Cochran's formula is 227 people by natural random method. The research method is descriptive-survey and applied in terms of purpose. The data collection tool is a questionnaire that has been approved by expert professors and its reliability has been calculated using Cronbach's alpha coefficient. Data analysis was performed using SPSS23 and Amos statistical software. Findings showed that theoretical training with a coefficient of 0.64 and practical training with a coefficient of 0.57 had an effect on employee empowerment; As a result, in order to achieve success and achieve the goals of human resource empowerment, the police force must plan short and long term on training in the dimensions of theoretical and practical training.

Despite the theoretical importance of sensory branding, there is a deep gap in the empirical field. In the present article, with the aim of filling this gap, a sensory marketing model in the food industry is presented. This article is a fundamental research that is mixed with research method and based on deductive-inductive reasoning. The statistical population of this research includes theoretical experts (marketing professors) and experimental experts (food industry managers). Sampling was done in a non-probabilistic and purposeful manner. Data collection tools are interviews and questionnaires. For the analysis of specialized interviews, the method of content analysis has been used. The identified indicators have also been validated by fuzzy Delphi method. Finally, the final model of the research is presented with a structural-interpretive method. Research data analysis was performed in the qualitative phase with MaxQDA software and in the quantitative phase with Matlab software. To achieve the research objectives by analyzing interviews with experts, a set of practical indicators of sensory marketing were identified. The main categories of sensory marketing are brand strategy, sensory marketing, brand management, mind management, brand personality, emotional communication, target customer knowledge, brand experience management, two-way interaction. The results of the analysis show that brand management is the underlying element of the model that affects brand strategy, identifying target customers and sensory marketing. These factors, in turn, lead to emotional communication, mind management, and two-way interaction with customers.

The purpose of this study is to investigate the effectiveness of corporate social responsibility model with a combined approach. In the qualitative section, 20 experts and policy makers in the automotive industry in the field of corporate social responsibility participated in semi-structured interviews. After the interviews, the concepts were extracted from the interviews by Maxqda software and the relevant codes were extracted and the main and sub-themes were achieved by establishing a relationship between the extracted codes in the open coding stage and removing duplicate indicators and merging similar indicators. Based on the research results, the components of social responsibility, economic responsibility, environmental responsibility, ethical responsibility, humanitarian responsibility, legal responsibility, brand awareness, brand loyalty, perceived quality and brand association were selected as the central phenomena. The results also show that corporate social responsibility improves internal processes by creating managerial commitment and empowering employees. Improving organizational processes will also improve social and environmental considerations, responsible actions, and consumer support behaviors for the brand. These factors lead to sustainable growth and development of the company and ultimately lead to improved brand equity.

The purpose of this study is to investigate the effects of knowledge management processes on human resource management with emphasis on the mediating role of knowledge utilization. The statistical sample of this research includes all managers and employees of Razi Customs of West Azerbaijan Province in the number of 110 people. The present research is descriptive-correlational in terms of data collection method and is applied in terms of purpose. Library-field method has been used to collect relevant information in the form of a questionnaire. The presented model and the information obtained from the questionnaires were analyzed through SMART PLS software. Finally, the results show that knowledge production has a positive and significant effect on knowledge sharing and knowledge utilization and also the effect of knowledge storage on knowledge utilization is significant. Knowledge sharing also has a significant effect on knowledge utilization. Therefore, according to the results of this study, knowledge sharing and knowledge utilization leads to improved human resource performance.

Abstract The present study with the aim of investigate the relationship between social vitality with the amount social responsibility firefighting personnel was conducted metropolis of Tabriz. For this purpose, Beginning the existing theories about social vitality and social responsibility were studied, Then using field study To check hypotheses Research Been paid. Research Methodology based on the objective,of Practical and based on the nature ,a correlational study and In terms of time is a cross-sectional study and a survey is time. A questionnaire was used for data collection. The population of the investigation are all Staff of the fire department Tabriz. According to the Cochran formula, The number of samples required is 234 Person of employees. In study is to present for Deliver results of the methods and descriptive statistics and for hypothesis testing t-test and Pearson correlation and Data analysis was performed with SPSS software. The results shows that Between the social vitality and social responsibilityTabriz fire staff, there is a significant relationship.

Nowadays competition in the business has made attention to productivity, customer satisfaction and compliance with his requirements more important. In this regard, the effort of organization in order to meet this requirement is based on improving the existing processes in organizations and several improvement philosophies have been introduced. In this paper, mapping knowledge management as a tool to improve the process according to productivity concepts is discussed. It examines the relationship between components (culture, process of practice, policy and technology) and productivity. For data collection, the demographic information, knowledge management and human resources productivity questionnaires were used. To examine the relationship between the variables and their interaction, structural equation modeling was used through Excel and LISREL softwares. The results indicate the relationship between the two structures, or how to change the conceptual model of research. The significant relationship between the dimensions of knowledge of management is confirmed. Based on the results, the component of culture with 0.38 effect rates has the highest effect on human resource productivity, and the other dimensions, i.e. technology, policy, and process of practice are ranked next in priority, respectively.

The main purpose of the present research is to investigate the relationship between multiple intelligent and general self-efficiency of the personnel in the producing, commercial, and industrial units of East Azarbaijan Province. For this purpose, multiple intelligence based on Howard Gardner's theory including eight dimensions and Mathias and Ralph's theory of self- efficiency were chosen as the theoretical framework, and standard questionnaires were used for both theories. In this regard, one main hypothesis and eight sub-hypotheses were stated. The statistical population includes the personnel of the producing, commercial, and industrial units of East Azarbayjan Province, from among whom 100 people were selected as research sample. Also, for the analysis of the data collected from the standard questionnaires, descriptive and inferential statistics were used. In other words, descriptive statistical method was used for classifying, summarizing, and interpreting the statistical data, and inferential statistics was employed to test the hypotheses. The obtained results indicate the relationship between multiple intelligence and general self-efficiency of the personnel in the mentioned producing, commercial, and industrial units.

The purpose of this research is to review the relation between knowledge management subsystem in the learning organization and institutional intelligence and its components in Tabriz Petrochemistry. The research method is correlation-descriptive. The sample consists of 172 employees in occupational levels of expertise and master of Tabriz Petrochemistry, selected randomly. The research tools include Marquart knowledge management questionnaire with kronbach alpha coefficient of 0.901, Albercht institutional intelligence questionnaire with kronbach alpha coefficient of 0.968, and demographic characteristics questionnaire. The results of research showed that, based on Pearson correlation coefficient, in addition to the meaningful and positive relation between knowledge management subsystem and institutional intelligence (correlation coefficient 0.782 and p