samad aali

Considering that the main export destination of Tabriz shoes is Iraq, therefore, the investigation and comparison of the customer's participation in creating the brand value of Tabriz shoes in the social networks of the two countries of Iran and Iraq will help managers to and identify how to attract customer participation in value creation and develop appropriate programs in this regard. Based on this, the aim of this research was to design a customer participation model in creating the value of the Tabriz shoe brand in the social networks of the two countries of Iran and Iraq. The research method was descriptive-modelling. The statistical population of this research includes experts and all customers of Tabriz shoes in social networks. In the first part of the research, 20 experts were selected as a combination of Iraq and Iran. In the second part, 384 people of Tabriz shoe customers answered the questionnaires in social networks with a sample of 122 people for Iraq and a sample of 262 people for Iran. The findings of the first part show that the model of customer participation in social networks in order to create brand value is placed in five levels, each level having direct and indirect relationships with other levels. Also, the results of the designed model test show that the model designed in Iran has been fully confirmed, but the model test in Iraq has led to the removal of one of the relationships between the components of the model and its modification.

The purpose of this research was to design the concept of corporate systematization in the implementation and implementation of agile marketing skills in small and medium-sized companies in order to capture emerging commercial markets. This research has a fundamental and mixed approach. Qualitative findings have been analyzed with thematic analysis process and quantitative findings with confirmatory factor analysis. Qualitative data collection was done with field observations and 17 semi-structured interviews. Quantitative data was also collected with a questionnaire. The statistical population of the quantitative part included those small and medium-sized industrial enterprises active in East Azarbaijan province, which until the time of data collection for the present research, have implemented and implemented agile marketing approaches at different levels or are in the transition phase from Traditional approaches and transition to new marketing technologies, especially agile marketing. Sampling was carried out non-randomly and by chain method in the number of 258 companies. Finally, the agile marketing systematization model was extracted from the theme analysis of 1221 open codes without repetition, which are divided into 51 basic themes, 13 organizing themes and 2 overarching themes. In the following, the mentioned model was subjected to statistical test and validation with the confirmatory factor analysis approach.

The aim of the current research is to present a model of customer participation with brands in social networks with an emphasis on cultural differences. The research method is applicable in terms of purpose, mixed (qualitative-quantitative) in terms of execution method, exploratory in terms of nature, and descriptive and survey type in terms of information gathering and analysis method. The statistical population in the qualitative part includes 10 experts from the scientific community and academic specialists and experts of the top 500 companies in Iran based on the ranking of the Industrial Management Organization, who were selected purposefully; and in the quantitative part, it includes the managers of the top 500 companies in Iran based on the ranking of the industrial management organization, and the statistical sample will be selected from among the companies that have active accounts in social networks and considered as the statistical population; and based on Cochran's formula, 217 people were selected as a sample by random sampling method. Data analysis in the qualitative section is based on the content analysis method; and in the quantitative section, SPSS and PLS software are used. The results of the qualitative part show that this research includes 14 dimensions and 30 components, and the results of the quantitative part show that the dimensions and components of customer engagement with brands have an impact on social networks with an emphasis on cultural differences. Also, the results show a strong and very good fit of the model.

The purpose of this research is to provide a customer loyalty model based on the five senses with the mediating role of perceived value in the insurance industry (case study of life and investment insurance). The research method is applicable in terms of purpose, and descriptive-survey in terms of the conducting method. According to the subject nature of the research model and professors' opinions, the statistical population of the research is the insurance buyers; and due to the limited statistical population, 384 people were selected using Cochran's formula; and the random sampling method is simple. The collection tool is a researcher-made questionnaire, taken from the qualitative part of the research. SPSS and PLS software were used for analysis. Also, confirmatory factor analysis was used to show the reliability of the questionnaire. The results showed that the five senses with the mediating role of perceived value have a positive and direct effect on customer loyalty, and the fit of the proposed model for the relationship of the variables has been confirmed.

The purpose of this research, Modelling gas demand of household customers in order to reduce consumption intensity in east Azerbaijan providence with system dynamics modelling.The statistical population of this research is the household consumers of Province. In this research, 79 variables were identified using meta-synthesis methodology, and then using Shannon's entropy, the position and effect of each variable was determined. After analyzing and combining the variables, finally 10 subsystems were identified in the form of 49 variables. Causal diagrams were drawn for the identified subsystems.Then the parameters were estimated and the model was formulated. The key variables affecting the natural gas demand of the population, price, price elasticity, temperature, technical and technological factors, per capita income, social factors, consumption history and advertisements were identified and based on the available information to estimate the functions and preferences and research facilities of the selected variables for stock-Flow model drawing was used. Validity of the model was measured by two methods of retesting behavior and limit states. Based on the model, five were planned: 1) continuation of the status quo, 2) implementation of price policies, 3) creation of a culture for optimal gas consumption, 4) optimization in engine houses of the province, 5) simultaneous application of all consumption reduction policies. The results of the modeling showed that by applying all consumption reduction policies, the demand can be kept at the current level. Based on the scenarios, strategic measures were proposed to reduce and control consumption at three short, medium and long term levels.

This study extends the current understanding of customer engagement by examining the impact of relationship bonding and relationship quality on customer engagement in value creation for online taxis. A quantitative research design was used to validate the hypotheses proposed in this research. Customer engagement has become an important metric for measuring the quality of relationships between brands and their customers. Despite this, there has been limited research into how relationship bonds affect the effectiveness of building such a relationship in online taxi services. A survey was conducted using the convenience method among 600 users of online transportation services in the city of Urmia, Iran to test the theoretical model. Structural equation modelling in software Amos 23 were used in this study to test the research hypotheses.  Findings showed that relationship bonding (financial, social, and structural) positively affects the quality of online relationships. Moreover, it was found that the quality of online relationships had a positive impact on all four aspects of customer engagement value (lifetime value, influence value, customer knowledge value, and customer referral value). In order to demonstrate the promotion of customer engagement through relationship bonds and online relationship quality, the study adds new data to the literature on online taxis services. Online taxi services are able to offer open innovation structures to help them   increase customer engagement, gather innovative ideas and integrate them into their operations. In this regard, in order to enrich ideas, customers who have successfully come up with new ideas should be rewarded.

The purpose of the present study is to explore the dominant knowledge of the demographic characteristics of customers in choosing banks through  using associative rules in data mining. Effective decision-making and learning in a growing and complex world with with the help of  thinkers and executives is a necessary which also need employing some mechanisms to understand the structures of complex systems and mass data acquisition as well as  knowledge generation to make decisions. Most businesses identify their key customers through a variety of demographic characteristics. Businesses also target their consumers by promoting similar marketing features. Targeting consumers with similar demographic characteristics is useful for maximizing sales and profitability of the business. Banks are no exception to this rule  because they are essential elements of the economy of a country. Data mining solves this problem through  providing methods and software for automating analytics and discovering large and complex data sets. This research was conducted according to CRISP-DM standard and data were collected by questionnaire. Then, the results were converted into a database of ninety sources and after that they were extracted by using SPSS modeler software association rules for each bank. Extraction rules show how changing variables have an effect on other factors and ultimately on achieving goals.

Customer involvement (customer engagement) is a communication in business that implies the relationship between customers and stakeholders of the organization through different channels. In this approach, the expansion and improvement of the relationship with customers is emphasized. This participation is not possible unless measures are taken to increase social trust. Customer orientation and customer participation are important issues in municipalities, and customer relationship management systems play an essential role in creating and developing this partnership.The purpose of this study is to validate a model for municipal customer participation based on social trust marketing. This research is a cross-sectional research in terms of data collection method and time period. The statistical population includes all citizens of Tehran. Due to the infinity of the statistical population, the sample size of 384 people was estimated using Cochran's formula and sampling was done by simple random method. Structural equation modeling method and LISREL software were used to validate the municipal customer participation model. Also, the indicators of municipal customer participation have been prioritized by the method of confirmatory factor analysis, validation and by Savara method. The data collection tool was a questionnaire that was validated by construct validity and convergent validity methods. The reliability of the questionnaire was also assessed using Cronbach's alpha and combined reliability. The results show that managing the relationship with municipal customers is effective on social responsibility and establishing social trust. These two categories improve the quality of municipal services and attract social satisfaction of municipal customers. In the shadow of improving the quality and increasing trust and satisfaction, achieving the marketing goals of social trust is achieved and ultimately leads to the participation of municipal customers.

The purpose of this research is to measure the effectiveness of East Azarbaijan gas company's advertisements on consumption reduction and to quantitatively estimate the effect of advertisements on consumption reduction. Gas household costumer of East Azarbaijan province were selected as the statistical population. The statistical population was clustered according to consumption levels and 2169 costumer participated in the research by completing the questionnaire. Research data were analyzed using confirmatory factor analysis and analysis of variance. The validity of the questionnaire was confirmed using content validity and convergent validity. Its reliability was also confirmed through four methods of Cronbach's alpha, composite reliability, average explained variance and maximum explained variance. In order to measure the effect of advertisements on gas consumption, the variables of air and comfort/welfare temperature were used as mediating variables. By performing regression on the daily data of air temperature and gas consumption of the province, the relationship between two variables was determined as a mathematical equation, and then the amount of consumption reduction was estimated assuming compliance with the consumption pattern and reducing the temperature of residential houses. From the results of the survey, the effectiveness of advertising was calculated to be 63%. The results of the modeling show that for every 1% increase in the effectiveness of advertisements, the amount of gas consumption in the province decreases by 0.59%. Assuming the full effectiveness of advertisements in the area of optimal gas consumption, the amount of consumption reduction in the province is The average was estimated at 23%.

This study sought to identify the antecedents of customers’ experience in the tourism industry using a mixed-method approach. To this end, first, 246 domestic and foreign relevant articles published from 2010 to 2020 were collected in the qualitative phase using the meta-synthesis method, out of which 52 articles were selected and analyzed via the content analysis method. Then, a questionnaire was developed based on the results of the content analysis conducted on the articles mentioned, applying the opinions of 10 experts and specialists in marketing and tourism. The researcher-developed questionnaire was then administered to 440 Iranian tourists who had traveled to Turkey, Malaysia, Azerbaijan, and UAE over the last five years (2016-2021). On the other hand, each construct of the proposed model was examined in terms of mono-dimensionality through a separate measurement model using Kline's method (2005) to ensure that the factor loading of the indicators and the correlation coefficient between factors do not exceed 0.5 and 0.85, respectively. Then, the reliability and validity of the constructs together with the construct validity, convergent validity, and divergent validity were measured, and Cronbach's alpha, Composite Reliability (CR), and Average Variance Extracted (AVE) were calculated. Finally, the model concerning the tourist experience antecedents was developed. According to the results of the study, a model comprising of four main components, including tourist management, tourism destinations’ management, tourism resource management, and tourism product management were developed based on the antecedents of the tourist experience using a mixed method approach (which is one of the innovations of the study).

The primary goal of sustainable businesses is to create superior value for customers and gain value from them. That is, to achieve success, companies need to create value for customers as they create their own values for the company. The co-creation of value is a form of marketing strategy or business strategy that underscores the perpetual creation and recognition of shared values of the company and customers. The main challenge facing companies in this field is to associate the value created for the customers with the perceived value of the customer. This ultimately leads to the customer's participation in value creation for the company. However, it poses a major challenge to marketers due to the nature of the service and its intangible characteristics, especially in the service sector. The main question raised and addressed in this paper is “Which type of value created by service companies can increase the customer's perceived value and ultimately provoke the customer's participation in value creation?”  The literature has explored the consequences of perceived value, mostly in the form of loyalty and word-of-mouth advertising, but the customer's participation in value creation for the company has scarcely been recognized as an outcome of the customer's perceived value. Given the research gap in this field, this research sets out to explain the role of customer participation in creating value for the banking industry based on the perceived value and the value presented to the customer.

In this applied research, a causal method was adopted, and the data collection was conducted through a field survey. The statistical population consisted of the customers of Bank Maskan in the city of Tabriz of whom a sample of 955 customers filled out the research questionnaire. The study sample was selected using the available sampling method. The questionnaire was developed after a detailed review of numerous studies in the corresponding literature. A pre-test was administered based on the feedback of some bank managers and marketing professors, and some suggestions were finally proposed for the correction of the statements to ensure the compatibility of the items with the experimental results. All the research variables were measured on a 7-point Likert scale (completely disagree = 1 to completely agree = 7). The data were collected, tested and analyzed using the SPSS and Amos software programs.

In this research, data analysis was conducted at the descriptive level using statistical indicators to describe the demographic characteristics of the sample. Then, at the inferential level, the fit of measurement models was evaluated using "confirmatory factor analysis". Finally, to test the assumptions and investigate the relationships among the research variables, a two-step structural equation modeling approach was utilized. According to the results, the indicators demonstrated a desirable fit for the research model. The Chi-square value was 3.48, which is within the acceptable range (1 to 5), thus illustrating the good fit of the structural model. Moreover, since the RMSEA fit index (0.05) was less than 0.1, the model had a good fit. Other fitness indices were also within this acceptable range.The results revealed that utilitarian and hedonistic values exert positive and significant effects on the perceived value of customers in Bank Maskan. An interesting finding was that the effect of the hedonic value on the perceived value eclipsed that of the utilitarian value. Considering the type of banking services, the opposite was expected. The customers’ perceived value had positive and significant effects on all the three dimensions of the customer engagement value (customer lifetime value, influence value, and customer knowledge value).

The present study demonstrated that customers desire to receive services with a greater perceived value. These customers are more likely to forge stronger relationships with banks and create value for banks through their cooperative behaviors. This study stressed the importance of utilizing value-based strategies, which transform the value of customers and relationships. Grounded in the banking industry, this study found that the experience and value presented to the customer in the form of utilitarian and hedonic values could increase the perceived value of the customer, thus helping to raise the level of the customer participation in creating value for the bank.As suggested by the results of this study, customers, rather than being solely preoccupied with making profits in their transactions with the bank, look for social identity and the creation of a suitable emotional link with the bank. Providing such values (i.e., utilitarian and hedonistic values) by the bank plays a crucial role in the customer's perceived value. Moreover, the banks that offer a high perceived value can instigate further participation of customers through their social influence (e.g., introducing services to others), knowledge sharing (e.g., providing feedback and suggestions for performance improvement), customer referrals (e.g., referring a new customer to the bank) and expanded use of services and transactions. Engaging customers as a tactic would yield favorable results in marketing.

The present study aimed to model and present a model of human resource productivity with a system dynamics approach in the health sector of East Azerbaijan province using a systemic approach. The research method was developmental in terms of purpose and had a qualitative approach. The questionnaires and open interviews with experts in addition to the literature review were used to collect data. Data were analyzed according to the systems dynamics approach by drawing cause and effect loops, and flow diagrams in Vensim DSS software, and thus the system behavior and the impact of different policies on it were tested. In the present research, the important factors in calculating the human resource productivity included the labor number in the organization, education and especially in-service education, the existence of appropriate geographical coverage of health facilities in the province, and staff research activities. After creating a stock and flow diagram and determining quantitative and mathematical relationships for variables with the help of experts in the health sector, the human resource productivity model was first tested and validated in terms of overall structure and relationships between components. Finally, the model was simulated to examine the dynamics hypothesis, and scenarios were presented for improving the level of human resource productivity in the health sector compared to the current status.

The purpose of this research is the discoveries and strategies of tourism services. This research is of an applied type in terms of purpose and qualitative research in terms of method according to the research questions. Since the provision of organic services in tourism is a new topic, to discover its causes and consequences, the qualitative research method "Foundation Data Theory" with the systematic approach of Strauss and Corbin (1998) has been used. The qualitative research method is an exploratory type of research in terms of the nature of the present researcher. Such services are free from the use of technology and their disadvantages. which include electromagnetic, mobile and environmental pollutants. To use the results of a better solution for the development of the tourism industry. The statistical research community of experts and experts who have scientific and practical knowledge in rural ecotourism and nature tourism services. The data collection tool was an interview, which was conducted in structured internal interviews. The sampling method is snowball. which reached the saturation limit with a total of 13 people. In the foundational data method, a three-step code process is used to analyze qualitative data. The first step is coding. In this part, with the detailed analysis of information and interview data, naming and classification of data is done and labeled. From open code, one gets a detailed understanding of concepts and, as a result, categories. When classifying in each category, the concepts should be conceptualized one by one after separating the labels and raw data through a detailed examination of the text of the interviews. Then, through central coding, the categories are linked to links. In the end, after the relationship between the categories is determined through open coding and focal coding, a sub-category and the relationship between them are determined through the coding of the main categories, so that finally the research theory model is selected. The results obtained from the research show that the strategies on organic in the tourism industry are six categories, which are found out of a total of 116 concepts, and the phenomena that are the basis of these services are found out of 61 concepts, which include four categories.As a result of the coding’s, four main factors of the phenomenon were identified, which include: covering manners and lifestyles, celebrations and cultural rituals, showing and teaching culture and art, holding events and recreational cultural sports activities. The identification of these phenomena has generally been in line with some previous researches and ecotourism centers, but until now, the title of organic tourism and the classification of such services in a comprehensive title and definition (organic services) had not been done with this research to explain this phenomenon. was paid. The identified drivers were classified and explained in six categories, which include: personalization of local services, hospitality instead of hospitality, targeted advertising, mention by famous authorities, word-of-mouth advertising, quality in cleanliness and hygiene. By knowing the strategies identified in this research and explaining them by officials at different levels as well as those involved and active in the field of tourism, they can provide the best conditions for growth and prosperity for this dynamic industry. The industry has been scientifically and practically, they have had a successful presence at the national and global level. Although these guidelines have been used in the literature and research of other centers in the world, but the strategies obtained in this research are specifically obtained from the experiences of experts and the available information from tourism in the Iranian market and have a specific reflection from domestic and foreign tourists who They have used Iran's eco-tourism services. Also, the approach of providing organic services explains the difference with other services and this itself can provide a basis for creating and expanding and identifying as well as possible at the national and international level. So by using and understanding these strategies and making better use of the phenomena identified at the micro and macro level and introducing them to the practitioners of this field, let us witness the increasing development of this industry at the national and international macro level, and one of the benefits and consequences of this industry. To make optimal use and increase our share of this global market and reduce dependence on the oil industry and have a greater share of the sustainable economy. By using the phenomena identified from the research, organic tourism services can be developed in the places where these phenomena are more, and by expanding the phenomena and creating creativity in applying them in the direction of tourism development, they can be used. Also, the identified guidelines He sought to improve and expand organic tourism services and developed tourism as best as possible by focusing on these strategies by those involved and in charge.

The main target of this of this research is to present the general architectural sub-system model of household's gas demand and to identify different variables affecting gas demand. The factors and variables identified from the subject literature have been analyzed using metasynthesize methodology and appropriate classification and prioritization has been done through content analysis. The statistical population in this research consists of scientific research articles published in reputable scientific databases and centers. Among the 127 articles found in the period from 1992 to 2022 for foreign studies and 1382 to 1401 for domestic studies, 53 articles were selected for analysis. The articles were import to the MAXQDA software and the variables in the form of 98 codes and 437 Coded Segments coding and 79 variables were identified. Then; using Shannon's entropy, the Priority and influence of each variable was determined. After analyzing and synthesis the variables, finally 10 subsystems were identified in the form of 49 variables. The results of the research show that the important variables affecting to natural gas demand are price, price elasticity, temperature, technical and technological factors, per capita income, social factors and consumption history. In order to manage gas demand in the household sector, all sub-systems should be considered by policymakers and balanced development between these sub-systems, otherwise the implemented policies will lose their effectiveness in the short time.

The purpose of this study is to provide a model to identify target customers based on their engagemention in Sepah Bank. For this purpose, customers of Sepah Bank, Tehran Branches were selected as the statistical population and 880 customers engagemented in the research by completing a questionnaire. Available sampling method was used to select the statistical sample. To analyze the data, the decision tree technique, which is one of the most important data mining techniques, and SPSS Modeler software were used to model the effective factors of value creation for the bank based on customer engagemention (high and low engagemention). Findings showed that the life cycle of the customer relationship (in the stages of recognizing or developing or maintaining the relationship), high perceived emotional value, a relationship model in the style of collective sharing or matching equity and pricing and long-term customer banking are factors Effective in generating high customer engagemention. In contrast, the customer being in the stage of reducing the life cycle of the customer relationship has been one of the most important reasons for low engagemention in the statistical population. This research helps business executives identify key customer engagement points and use it in affiliate marketing.

The purpose of this research is to developing a dynamic model for the impact of customer experience from the servicescape in the hotel industry. The present research is a mixed research method and it is developmental and applied in terms of purpose. In the qualitative part, a qualitative content analysis with analogy and induction approach has been used and in the quantitative part, the research is descriptive-survey in terms of research method. The statistical population is 60 articles that were purposefully selected based on theoretical data saturation. To analyze the data, special content analysis processes and Maxqda software has been used. In the quantitative part, loyal customers of 4 and 5 star hotels in northwest of Iran were selected for the study after completing a questionnaire. A clustered sampling method was used to select statistical sample. The research hypotheses were tested using structural equation modeling technique and AMOS software. The results of the research showed that the dimensions of the servicescape include substantive staging and communicative staging. The substantive staging and communicative staging have a positive impact on the customer experience; relationship life cycle has a moderating role in the relationship between communicative staging and customer experience.

The present study aims to provide a model for tourist engagement with emphasis on its antecedents and consequences. The research method is applied In terms of purpose and in terms of collecting research data descriptive of type survey. Statistical population of research Includes Iranian tourists in 2019 and 2020 in least Once the experience of traveling abroad (Turkey, Malaysia, Dubai, Georgia, Armenia and Azerbaijan) Have. Using available sampling method, 450 people were selected for the study. To collect research data from Researcher-maden questionnaire. Based on theoretical foundations and experimental background related used. Statistical analysis is done in two section of descriptive statistics and inferential statistics with the method of path analysis and structural modeling in SPSS and Amos software. The results showed that the antecedents of tourist engagement Includes destination identity, tourist experience and perceived image They had a positive and significant effect on tourist fascination, Consequences of tourist engagement include tourist trust, tourist loyalty, co-creation, content production and word of mouth is Which have a positive and significant effect on tourist fascination.

In modern approaches to marketing, markets are considered as grounds where companies and customers combine and share their resources and capabilities to create dual value (i.e., both for companies and customers) through applying modern learning mechanisms, establishing communications, and engaging in the process of producing goods and providing services. Thus, the current study is aimed at presenting the conceptual framework of the antecedents and consequences of customer engagement with an emphasis on the “dual value” perspective. In the current study, the meta-synthesis research method was applied. From the studies conducted between 2000 to 2020, 46 studies were investigated and selected using the CASP method and were entered into the process of meta-Synthesis. Then, the indicators were coded and categorized, and were validated based on experts’ agreement. The analysis of the data resulted in the identification of 46 indicators, which were classified in the two groups of customer engagement antecedents including customer resources and company resources, and customer engagement consequences including value for customers and value for companies. The resulting conceptual framework can be applied as an instrument for strategic planning in the field of marketing and the development of customer engagement in different businesses. Applying the meta-Synthesis research method and focusing on the dual value perspective were among the innovations of the current study.

In the current study, the meta-synthesis research method was applied. From the studies conducted between 2000 to 2020, 46 studies were investigated and selected using the CASP method and were entered into the process of meta-Synthesis. Then, the indicators were coded and categorized, and were validated based on experts’ agreement.

The analysis of the data resulted in the identification of 46 indicators, which were classified in the two groups of customer engagement antecedents including customer resources and company resources, and customer engagement consequences including value for customers and value for companies.

The resulting conceptual framework can be applied as an instrument for strategic planning in the field of marketing and the development of customer engagement in different businesses. Applying the meta-Synthesis research method and focusing on the dual value perspective were among the innovations of the current study.

The ultimate goal of health care organizations is to achieve productivity or the same efficiency and effectiveness. The purpose of this study is to design a model of human resource productivity in the health sector.

This research is applied in terms of purpose and research method in this qualitative study And it is a kind of meta-study of the meta-combined type that has been used as a library method to collect data. The statistical population of this research in the meta-combined method is previous researches that have been searched between 1990 and 2019 from Science Direct, Emerald, University Jihad, Civilica. By reviewing 84 articles out of 8740 initial articles, 16 criteria and 145 sub-criteria Was identified as a factor affecting the productivity of human resources in the ice of health care in various domestic and foreign studies in the years 1990 to 2019. Based on these factors, the final model was presented and validated.

Factors affecting human resource productivity in the health sector based on available resources in the period 1990-2019, which include occupational factors, factors related to organizational support, managerial factors and cultural and social factors.

Attention to the identified factors, the necessity to pay attention to economic concepts and quality of services in the health sector in terms of the importance of the type of service and dealing with human health and life increase.

The purpose of this study was to investigate the impact of those factors as antecedents that contribute to the increase in performance of exports in developing countries and strengthen the country's economic basis. The main factors of export performance antecedents encompass export incentives including information, financial, scientific, technical and managerial capabilities of entrepreneurial companies (business intelligence, business knowledge and export commitment) that lead to the manager's ability to internationalize the company to increase export performance, were examined. Findings indicated the normality and significance of the data and the necessary validity, as well as Cronbach's alpha coefficient and combined reliability was higher than 0.7. The results of the present study was approved by statistical analysis through multivariate regression tests of all research hypotheses and the R coefficients obtained for Turkey are often larger than Iran, whose main strategy is to apply the principles of export incentives of the Turkish government and acquisition of necessary management skills of Turkish exporting companies in the internationalization of the company, which has resulted in increased Turkish export performance in recent years. As such, most of them are related to factory products, raw and processed agricultural products.

Appropriate and rational evaluation is considered as a fundamental issue of today's organizations with multiple branches, especially about banks. In the meantime, utilizing a proper model of marketing performance evaluation at the bank’s branch level will bring consequences such as increasing the accountability, services quality improvement, increasing customer satisfaction and loyalty, and finally, the bank profitability. Therefore, the current research was conducted with the aim of designing and explaining a comprehensive model of marketing performance evaluation for the bank branches with the qualitative approach of the grounded theory. Considering the criterion of theoretical saturation, judgmental sampling was used to select 20 people who were interviewed. Based on the findings of the research, the provision of banking services at a certain level of quality by the bank's employees and management affects the marketing performance of the branch over time. Also, the findings showed that factors such as organizational culture, as well as local market conditions and macroeconomic factors, extra-branch rules and regulations, and the severe fluctuation of the local market, manifest themselves in customer relationship management, human capital management, and continuous improvement and finally, the consequence of such management is gaining customer loyalty, creating a successful brand and the bank profitability.

The purpose of this research is to Developing a dynamic model for the impact of Servicescape on customer experience in the hotel industry. The present study is a mixed research method. In the qualitative part, the strategy is qualitative content analysis and in the quantitative part, it is applied in terms of purpose and descriptive-survey in terms of research method. To gather information in the qualitative section a collection of articles, books and thesis has been used systematically and in the quantitative part, a standard questionnaire was used to collect information. 700 loyal customers of five-star hotels in Northwest of Iran were selected for the study. A clustered sampling method was used to select statistical sample. In qualitative part, To analyze the data of this research, special content analysis processes including open coding,, axial coding were used to emerge concepts and categories. In the quantitative part, the research hypotheses were tested using structural equation modeling technique. The results of the research showed that the substantive staging and communicative staging have a positive impact on the customer experience and the effect of communicative staging on customer experience at different stages of the relationship life cycle is different.

The purpose of this article is to investigate the quality of the relationship in online business on customer engagement in different stages of the relationship life cycle. For this purpose, users of online transportation services in the city of Urmia were selected as a statistical population and 600 customers participated in the research by completing a questionnaire. Convenience sampling method was use to select the statistical sample. The research hypotheses were tested using structural equation modeling technique and AMOS software. Findings showed that the quality of online relationship has a positive effect on all four dimensions of customer engagement value (lifetime value, impact value, customer knowledge value and customer referral value). Also, the effect of online relationship quality on customer lifetime value and the value of impact at different stages of the relationship life cycle are different.

Bank branches as the main intermediaries in the relationship between the customer and the banking network have a significant role and the success of a bank depends on the performance of its branches. Even after digitalization, branches are one of the most important sources of cost for banks and lead to providing a large part of the value to the end customer. Although theoretical topics and the background of theoretical research related to marketing and evaluation are abundant, but research to measure the marketing performance of banks is limited and is rare in relation to Iranian bank branches. Therefore, this study tries to examine the dimensions of marketing performance at the level of bank branches. The purpose of this study is to design an appropriate model for evaluating the marketing performance of bank branches with emphasis on various and related aspects and dimensions in the field of banking. Qualitative-quantitative research approach and strategy is based on data processing theory, foundation and structural equations. In the data theory approach of this research, the open, axial and selective coding methods of Strauss and Corbin and the paradigm model are used and the information is analyzed based on the data obtained from field and library studies. In general, information and data were collected in open source form through specialized interviews with university and banking industry experts, then through communication between micro and macro categories, research data, classification and refinement, and then validation and final editing. In the quantitative part for testing the model, a questionnaire consisting of 64 questions was developed from the qualitative data of the first stage of the research and then tested quantitatively using 200 questionnaires completed by marketing and banking experts. After ensuring the reliability and validity of the questionnaire, the significance of each part of the model was investigated through confirmatory factor analysis of structural equations based on partial least squares using PLS software and finally the validity of the model was confirmed.

For many of today’s financial institutions, focusing on advantage-creating elements is undoubtedly a lever to extend Customer engagement value. In this complicated environment, the customer is seen as an external asset for the organization and considering the value-creating mechanisms for the customer can have positive ramifications for companies and institutions working in the field of financial businesses. Accordingly, the purpose of this paper is to answer this question: How can we develop customer engagement in creating value for the banking industry by creating value for the customer. For this purpose, Customers of Kowsar Financial and Credit Institute in Tehran province were selected as the statistical population and 976 customers participated in the research by completing the questionnaire. Sampling method was used to select statistical sample. The research hypotheses were tested using structural equation modeling technique and AMOS 23 software. The results of the research showed that Perceived functional and social value have a direct effect on all three dimensions of customer engagement value (Customer Lifetime, Customer Influence Value, Customer Knowledge Value), but the effect of perceived emotional value on any aspect of the value of customer engagement was not approved. The results of this study confirm the impact of perceived value (Perceived functional and social value) on customer engagement value.