فهرست مطالب sirous fakhimi azar

In developed countries, most of the economic activities of these countries are carried out through small and medium-sized companies, and SMEs act as the backbone of the dynamic economy of these countries. The purpose of this study is to design and validate the internationalization model of small and medium industries with marketing innovation, emphasizing the mediating role of market orientation in the direction of the prosperity of the leather industry market, centered on the East Azerbaijan region. The statistical population in the quantitative part included 1620 active units in East Azarbaijan province, and the statistical sample included 310 people based on the Morgan-Karjesi table, who were selected by a simple random sampling method. To do sampling, cluster sampling and available people were used for sampling. A Likert scale questionnaire was used to collect data. Structural equation modeling method and smart-pls software were used for data analysis. The findings of this study showed that marketing innovation has an effect on the performance of innovation and internationalization with mediating variables of market orientation, process innovation, innovation capability, and product innovation.

Achieving a competitive advantage in the banking industry, which has transformed itself through the employment of unpredictable approaches, is both more difficult and more crucial. Therefore, the present research aimed to provide a model for integrating social capital with innovative knowledge management in gaining competitive advantage and developing the country's banks.

This study was conducted using a mixed (qualitative and quantitative) approach. The qualitative part was carried out through interviews with 15 managers and deputies of Sepah Bank branches in Tabriz and university professors specializing in innovative knowledge management and social capital, using grounded theory method. The quantitative part involves structural equations.

The results from the interpretive structural modeling method for the components of social capital and knowledge management showed that tangible and cognitive dimensions, knowledge gathering, and knowledge dissemination have the highest impact, with the responsiveness component having the most significant influence in integrating the variables of social capital with knowledge management. Furthermore, the results indicated that, except for the impact of organizational culture on the empowerment of human resources with a path coefficient of 0.062 and a t-value of 1.535, which is less than 1.96 and not significant, all path coefficients are significant.

The findings demonstrated that components such as tangible and cognitive dimensions, knowledge gathering, and knowledge dissemination at the first level and in the dependent region have the highest susceptibility, and the responsiveness components, which are in the independent region, have the highest impact in the integration of investment variables with knowledge management.

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.

This study aimed to provide an effective model for developing production strategies and techniques on a global scale in the West African market. The criteria weights were determined using Shannon’s entropy after collecting the opinions of West African market experts through questionnaires. The main and sub-components and production indicators were identified on a global scale and prepared and compiled in the form of a scoring checklist using the ISM model and examining the theoretical foundations of the research. Then, the indicators and components of the study were confirmed through the Delphi method. The causes of influence on production strategies and techniques on a global scale were designed based on structural-interpretive modeling. Further, the technique of analyzing the mutual effects of Mic Mac was used to investigate the impact of factors on each other in global scale production in the West African market. The research population was experts and specialists active in production on a global scale in the West African market. According to Saaty, 10 experts were selected as the statistical population of this research. The ISM results showed that all 28 leading indicators were finally approved by experts and were ranked from 1 to 28. The index of non-creation of waste from the sub-component of cost reduction was ranked first with an agreement coefficient of 0.798. In addition, reducing set-up time from the sub-component of cost reduction with an agreement coefficient of 0.782 was ranked second, and lean production from the sub-component of lean production with an agreement coefficient of 0.611 was ranked 28th. The second-round results of the Delphi indicated that all the sub-indicator were confirmed based on a mean >5, a low standard deviation, and an agreement coefficient >0.5. The approved model was designed based on two Delphi steps based on experts’ opinions, and the Mic Ma method showed that out of the 28 main factors, 12 were influential factors, nine were influential factors, and seven were independent factors. Finally, 10 of the main factors were determined as the key factors influencing production on a global scale in the West African market: 1) Cellular production, 2) Production without waste, 3) Activities with an environmental attitude, 4) Flexible system, 5) Field of operation, 6) No waste, 7) Operation improvement, 8) Communication with customers, 9) Clarity of business, 10) Participation and Companies relationship with suppliers.

The research examines the strategic and tactical aspects of content sharing as a means to enhance visibility, engagement, and brand loyalty in the digital realm, drawing on perspectives from managers and experts in marketing consultancy.

Employing a mixed-methods approach, which combines qualitative interviews and quantitative surveys, the study provides insights into current practices, challenges, and opportunities that marketing consultants face in utilizing social media for branding.

Through qualitative analysis, the study identifies key factors influencing successful branding on social media, including the creation of appealing content and strategic interaction with customers.

This research contributes to the advancement of knowledge in the field of social media marketing and offers practical recommendations for industry professionals, enabling them to adapt to the dynamic nature of online branding in the digital age.Recommendations are provided for leveraging digital marketing strategies to improve brand image and performance, ultimately aiming to guide businesses in navigating the evolving landscape of social media branding.

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.

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.

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 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.