sirus fakhimi azar

The aim of this research is to design a Total Productive Maintenance (TPM) management model using a hybrid method of artificial neural networks and hierarchical clustering in power distribution companies of northwestern Iran. This study is conducted in power distribution companies of northwestern Iran, which were selected as pilot companies. Determining the optimal maintenance strategy and selecting the best management model for maintenance is of great importance. The findings of this study will be provided to Tavanir and the Ministry of Energy for further implementation in other subsidiary companies. In terms of location, the quantitative data pertains to operational data of the power distribution companies in northwestern Iran. The statistical population includes experts and personnel from the maintenance, repair, and warehousing departments of these companies. The temporal data pertains to operational data from the inventory, accounting, and process systems of power distribution companies in northwestern Iran, spanning from 2017 to 2022. The results of this research indicate that initiating the Total Productive Maintenance process requires strong managerial leadership. Subsequently, processes should be improved and undergo initial feedback evaluations. By considering the strength of human resources and enhancing employee skills, the quality of work processes will be analyzed. As these factors evolve, the system will undergo precise organization and planning. Comprehensive preventive maintenance will ensure workplace safety and health are prioritized. Another aspect that management must address is the advancement of technology and the expansion of automation systems, especially in the implementation of equipment and inventory management subsystems and resource and contract management, which are key priorities of the model. Finally, management must focus on adopting preventive maintenance, self-controlled maintenance, and re-evaluating current practices. Employees should be engaged in achieving these three goals.

Social networks and social media provide customers with the opportunity to talk about products and services purchased and to share their experiences with others. The purpose of this study is to design and validate an effective model for evaluating the role of online advertising on the consumer purchasing decision process in food chain stores in Guilan province (with a quantitative approach). The present study is conducted with a quantitative approach. The statistical population in a small part also includes customers of food chain stores in Gilan province. Using the Cochran's formula for indeterminate communities, 384 people have been calculated as a sample. Cluster sampling method and available individuals were used for sampling. Semi-structured interview and Likert scale questionnaire were used to collect data. An initial model was designed to analyze the data using structural-interpretive modeling and MICMAC software. Structural equation modeling and SMART-PLS software were used to validate and present the final model. Findings showed that online advertising has an impact on strategic social media marketing, sponsored content, content marketing and further these variables lead to the management of consumer experience. Emotional commitment to the brand, perceived risk, consumer satisfaction affect the management of the consumer experience and ultimately leads to the decision to buy the consumer. Increasing the understanding of the role of social media for stakeholders in the field of marketing is essential and by applying the achievements of the present study, it is possible to improve online advertising on the consumer purchasing decision process.

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.

In this study, which was synthetic and inductive-deductive in terms of data collection method, 12 marketing management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative part, which used meta-synthesis and Delphi analysis, the aim was to identify the contents of e-marketing statements in advancing the marketing goals of oil companies. In a small part with the participation of 16 managers and deputies of Sepahan Isfahan Oil Company, the identified propositions in the form of a comprehensive structural interpretive analysis based on the priority of effectiveness. Therefore, relying on meta-analysis, first 26 studies were reviewed as a basis for evaluation to determine the content of e-marketing propositions in advancing the marketing goals of oil companies in the form of critical evaluation. According to which, 21 themes of selected propositions were entered into Delphi analysis in a checklist manner to determine the theoretical adequacy. At this stage, 7 propositions were removed during the two stages of Delphi analysis and a total of 16 propositions were included in the quantitative analysis section, ie comprehensive structural interpretive analysis. In this section, the results showed that the content of the propositions of creating an intelligent marketing system to recognize changes in the oil industry at the ninth level was determined as the most effective e-marketing factor in advancing the marketing goals of Sepahan Isfahan Oil Company.

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.

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.

This study aimed to provide a structural model of customer intentional behavior in accepting social media marketing. The present study uses an applied (purpose) and survey-analytical research methodology (implementation method) carried out with a mixed (quantitative-qualitative) approach. The first part presented the content analysis method and Delphi technique as factors that influence behavioral intention. The research population in the first part was 6045 documents identified on the science website, and in the second part, 30 social media marketing specialists were targeted by sampling method. The findings of the qualitative section were the identification of 20 factors that influence the behavioral intention of customers, which was the most critical comparative advantage. The statistical population in the quantitative part was users of social networks that the sample size was available by sampling method and based on the unlimited Cochran's formula, 384 people were selected. The data collection tool was a researcher-made questionnaire in the second part. Experts confirmed the validity, and the reliability was confirmed by calculating Cronbach's alpha coefficient. Data analysis was performed by structural equation modeling. The results showed that trust, perceived ease, comparative advantage, adaptability, mental norm, perceived behavioral control, and attitude toward behavior significantly affect customers' behavioral intention in accepting social media marketing. The significant relationship between perceived risk and behavioral intent was not confirmed.

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.

Social media has become a new orientation and attitude for businesses today. Tools and methods for communicating with the customers have changed enormously with the revelation of social media and it has become a channel and an instrument that marketers can extend their marketing campaigns to a wider range of consumers. The research purpose of this article is to analyze the impact of diffusion of innovation model on behavioral intention in adopting social media marketing with the moderator role of subjective norms in Iranian users.  By making use of an online exploration, this study gathers data from 253 experienced social-media users in Iran. We have utilized partial least squares structural equation modeling to examine the links between items of diffusion of innovation model, social media marketing adoption, behavioral intention and subjective norms. The results revealed that diffusion of innovation influence was found as a nominative determinant of users’ behavioral intention to adopting social media marketing while behavioral intentions were also found to have positive significant association towards users’ behavioral intention to adopt social media marketing. In addition, the results of the empirical study showed that subjective norms moderated the relation between diffusion of innovation and customer behavioral intention.

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.