محمد محمودی میمند

Blockchain technology has emerged as a crucial factor impacting the banking sector. This study aimed to design and elucidate a future research model that explored bank employees’ attitudes towards job security in the context of blockchain technology by the year 2031. Through a comprehensive review of relevant studies, this research identified the future research factors and drivers that influenced bank employees’ attitudes regarding job security in the face of blockchain technology. Indicators were identified and subjected to coding and theming processes. The dimensions and indicators were then selected based on expert opinions and distributed in a questionnaire format. Subsequently, a self-interaction matrix, initial achievement matrix, and final achievement matrix were developed followed by dimension leveling and model presentation. The key factors in the model encompassed the employees' understanding of usefulness and ease of use, behavioral intentions, beliefs, norms, values, and organizational culture, provision and updating of infrastructure, cost considerations, financial and banking market structure, technical challenges, and the benefits associated with blockchain technology.

In recent years, technological advances have led to dramatic changes in the financial ecosystem and momentum in the traditional structure of the banking industry and the need to review the traditional business models of banks. Therefore, the current study has been conducted with a qualitative-quantitative approach to explain the open banking business model in the Middle East Bank. The statistical population of this research in the qualitative part consists of middle managers of various branches of the Middle East Bank active in the field of open banking and managers of fin-techs whose statistical sample size was equal to 10 people. Also, the quantitative population of this study is the managers and employees and natural and legal customers of 16 branches of the Middle East Bank in Tehran, which was determined based on Cochran's formula equal to 370 people. The data collection tool in this study is semi-structured in-depth qualitative interviews, the data of which were analyzed using the soft systems research method, and in the quantitative part, the data were collected through a researcher-made questionnaire were collected and then analyzed by using confirmatory factor analysis and structural equations. Based on this, 94 codes extracted from interviews with experts, were classified into 74 concepts, 16 subcategories and 3 categories of customer-oriented banking, API management and regulatory developments. Quantitative findings also confirm the positive and significant impact of these three components on the open banking business model of the Middle East Bank.

The objective of this study is to design and explain a model of electronic customer relationship management (E-CRM) aimed at increasing customer loyalty in private banks in Iran.  

This applied research employed a descriptive-survey method, incorporating both qualitative and quantitative approaches. A Delphi panel consisting of 35 experts from private banks contributed to identifying key E-CRM variables. In the quantitative phase, a sample of 384 bank managers and senior experts participated through a questionnaire. Structural equation modeling and PLS software were used for data analysis, ensuring a robust model fit and validation through reliability tests like Cronbach's alpha. 

The study identified critical influencing factors for E-CRM, categorized into human, technological, and organizational components. The model showed significant positive impacts on customer satisfaction and loyalty, with technological factors like IT management being the strongest predictors. Customer interaction, value creation, and organizational readiness for change also demonstrated notable influences. The findings support the integration of technological advancements and customer-centric approaches in private banking. 

The developed E-CRM model effectively enhances customer satisfaction and loyalty in the private banking sector. By focusing on human, technological, and organizational factors, private banks can improve long-term relationships with their customers, fostering increased loyalty. These insights highlight the need for continued investment in customer relationship technologies and staff training for optimal E-CRM performance.

Generative AI is one of the popular artificial intelligence technologies that can generate different types of content including music, text, images, as well as artificial data. This research was conducted in order to investigate the adoption of productive artificial intelligence on the organizational performance of small and medium-sized companies in Bushehr province with the mediating role of innovation (exploration and exploitation). In this study, the research variables were evaluated using a standard questionnaire, the reliability of which is 0.892 with Cronbach's alpha test. The questionnaire was distributed among 383 people sampled from the statistical population, which is all managers and senior experts of small and medium companies in Bushehr province. The descriptive research method was correlation type. In order to check the hypotheses of the research with Smart-PLS software, structural equation analysis method and partial least square (PLS) path analysis method were used. The results showed that the perceived quality of the generative artificial intelligence adoption process significantly and positively affects the results of exploratory innovation and exploitative innovation in organizational settings. The results indicate that the intention to adopt productive artificial intelligence has a positive effect on the organization's performance. The results also showed that exploratory innovation and exploitation innovation positively mediate the relationship between the intention to adopt productive artificial intelligence and organizational performance.

Increasing competition in the insurance market has made managers of this industry think of a solution for a lasting presence, and finding new customers and maintaining existing customers is a very important success factor for today's businesses. Therefore, the current research was conducted with the aim of developing a model of customer purchase behavior management in the insurance industry using a mixed method in two qualitative and quantitative sections. The statistical population of the research in the quantitative part included 25 experts from university professors active in the field of insurance, managers and high-ranking specialists of insurance companies who were selected by purposeful sampling. In the first part, 99 identifiers were extracted as factors of customer purchase behavior management with the library study tool, and then they were analyzed and categorized through the Clark and Brown coding method and Max Kyuda software. After screening and measuring their validity using the fuzzy Delphi method and distributing the questionnaire among the group of experts, 85 identifiers were extracted in the form of 19 sub-factors. Validity of Delphi questionnaire questions using content validity analysis with CVI coefficient equal to 0.91 and CVR equal to 88. It has been confirmed. The research results showed that the research model has three main behavioral, structural and contextual variables as the management factors of customer buying behavior

Considering the ever-increasing progress of various technologies and their importance for the survival and international competition of companies in various industries, it is very important to formulate and implement the correct and appropriate strategies of each organization according to its special technological capacities and capabilities. This study aims to identify the technological innovation components of the organization and examine their role in the strategic position of the organization. For the present study, quantitative research method (questionnaire) and interview tool were used in order to extract part of the required information. The statistical community of the research is the Esfahan's Mobarakeh Steel Company, and the experimental data were analyzed using structural equation modeling by Lisrel software. The results of this research show that there are positive and significant relationships between the components of technological innovation and the strategic position of the organization. In other words, for policymaking and improvement of technological innovation factors in organizations, appropriate strategies can be used for each of them. Therefore, in order to gain a superior competitive position, Esfahan's Mobarakeh Steel Complex must apply the factors of technological innovation at the same time using the right and appropriate strategies and be innovative and progressive. Also, a model was presented to investigate the relationship between the components, which was confirmed according to the research results. Based on the findings of this research, the output factors of technological innovation have the least effect on the cost strategy of this company compared to other components.

Organizational citizenship behavior as one of the new concepts of organizational behavior management that emphasizes the extra-role behaviors of employees and managers and has a decisive role in the organizational process and the transformation of the traditional environment into a dynamic and efficient environment. Organizations, especially in developing countries, need to increase efficiency, and the ground must be laid for the implementation of organizational citizenship behavior so that employees and managers can use their abilities to achieve organizational goals. The main purpose of this study is to design and develop a model of organizational citizenship behavior of managers. The research method in this research is a qualitative and quantitative approach that has been done using Delphi technique and survey of this study. Jthe moderating role of leadership components on the relationship between organizational components and organizational citizenship behavior of managers was not confirmed. In the present study, according to the results of testing the hypotheses, we finally presented the model of organizational citizenship behavior of managers.Research questions1- Efficient environment, explaining individual components with organizational citizenship behavior of managers2- Traditional environment and explanation of individual components with the organizational citizenship behavior of managers with emphasis on the values ​​of Islamic art ethicsResearch purposes1- Studying the efficient environment, explaining individual components with the organizational citizenship behavior of managers2- Examining the traditional environment and explaining individual components with the organizational citizenship behavior of managers with emphasis on the values ​​of Islamic art ethics

Generally, mineral processing plants generate a large quantity of waste in the form of fine particles. The flotation speed of mineral microbubbles by coarse bubbles is dramatically higher than that of individual particles. The advantage of microbubbles is due to the increase of binding efficiency of conventional bubbles with fine particles coated with microbubbles. Here, the focus is on reducing chemicals consumption and improving recovery. After preparing a representative sample, XRF, XRD, and mineralogical analyses were performed. Then 50 experiments were selected by experimental design using the response surface method (RSM), and in the form of central Composite design (CCD) by (design expert) DX 13 software. The interactions of collector consumption, frother agent, pH, particle size, and solid percentage were investigated, and 25 experiments using typical flotation and without nano-microbubbles and others with nano-microbubbles were conducted. The laboratory standard limit of the collector used in the pilot plant of the Sarcheshmeh Copper copper complex is 40 g/t (25 g/t of C7240 plus 15 g/t of Z11). Here, by consuming 20 g/t of collector in the absence of nanomicrobubbles, a recovery of 79.96% and in the presence of nanomicrobubbles, a recovery of 80.07% was obtained, that is a 50% reduction in collector consumption and a 0.11% increase in recovery was observed. Also the laboratory standard limit of frother used in the pilot plant of Sarcheshemeh Copper Complex is 30 g/t (15 g/t of MIBC plus 15 g/t of A65). Here, by using 10 g/t of frother in the absence of nanomicrobubbles, a recovery of 78.12%, and in the presence of nanomicrobubbles, a recovery of 82.05% was obtained. In other words, a decrease of 66.6% in the consumption of frother and an increase of 1.93% in recovery was observed.

Today, one of the main problems of cosmetics and health internet businesses is in the image of the business brand and creating and presenting the appropriate corporate brand image. In this regard, internet advertising can be useful as an effective tool in the field of brand image of this type of business. The current research was carried out with the aim of designing an internet advertising model for the image of the brand of cosmetics and health online businesses using the Grounded theory method. This research is an exploratory-applied research. Qualitative research method was used to design the model. The community of participants in the qualitative section includes 20 experts related to the research topic. Sampling was done non-randomly and with a targeted method. The data collection tool was a semi-structured interview, and the grounded theory method was used to analyze the collected data. The research findings showed that the causal conditions including the production of advertising content, the use of advertising technology, the emotions and desire of customers, and the management of communication with customers are effective on internet advertising. Internet advertising as a central phenomenon, along with the identification of competitors and target customers as intervening conditions and trustworthiness and brand credibility as background conditions, have an effect on the strategies and actions that are the business marketing strategies under investigation. Finally, by using appropriate marketing strategies, you can achieve consequences such as brand image, increase in customers and profitability, and gain a competitive advantage. The result includes the design of a new research model in this field and expresses the impact of internet advertising on the brand image of online cosmetics and health businesses.

The aim of this study, is to design a structural model of management of green human resources on the foundation of human being management system that offers for the first time in the green human management’s literature.

In this study first the most important factors of vital cases which cause the success in management derived. Then, these factors were given to 150 experts of Keshavarzi bank of Ardabil province by questionnaire. After the gathering questionnaire, preliminary dials with the use of analyses stand in four elements. With the help of structural-explanatory model and asking from 10 virtuosos of agricultural bank of Ardabil province these factors analyzed and relationship between these variables discovered.

The results of interpretive structural modeling on the four factors involved in the implementation of green human resource management show that the factor of green thinking and the environmental management factor have weak influence and weakness. Human resource management factor has weak influence but high dependence and green movement factor with high influence and low dependence. Results show that, the green move factors in the green human resource management in agricultural bank of Ardabil province was vital and must be in the first grade.

The results indicate that approved variables were categorized into four factors of human resource management, environmental management, green thinking, green movement (Green Initiatives include Green Thinking and Green Movement). The results also show that green movement factors and green thinking have the most impact on other factors, respectively, and human resource management and environmental management variables are most influenced by other factors.

The fast developments in education and technology, the need for rethinking in various university management procedures for universities, Who try to create a customer-based attitude towards attracting the maximum number of university applicants. In this way, they can comprise the behavioral tendencies of university applicants for better admission, and thus maintain the system totality. Undoubtedly, one of the management key strategies is to create a framework for the emergence of extra-role behaviors of students or graduates and, consequently, to use this capability to create a positive and appropriate tendency and perception of applicants towards the university. The present study attempt to provide an ecological pattern with three components, including behavioral-situational stimuli, the quality of academic relations, and interpersonal interactions to accept an educational institution with emphasis on open universities, reveals only a few factors influencing educational competition.The institute studied in this research is Payame Noor University and its statistical population is all new students who have just gone through the selection process in a sample of 368 people.After in-depth interviews, a questionnaire was used to collect data,and then structural equation modeling was used to analyze the data. According to the findings of this study,satisfaction caused by the behavioral-situational stimuli, includes the quality of interpersonal interactions,the gained values from services,the quality of subjective norms,the perceived quality of services,the resources provided by academia,and the desirability of remote systems,can lead to the attitude resulting from the selection and behavioral tendencies of applicants university by shaping extra-role behaviors in the context of student-student interplay.

Today, the marketing and sales managers of many insurance companies have experienced that customers who have already used the products or services of a company and are willing to share their experiences, play an essential role in the buying process of buyers and reassuring them. Previous studies show a lack of a local model of customer reference and factors affecting it in the insurance industry. Therefore, the purpose of this research is to fill the existing research gap in this field.

Using a mixed methods approach (qualitative-quantitative), in the first step after conducting library studies using the Delphi technique and the participation of specialized panel members consisting of 23 academic experts and senior managers and experts and the marketers of insurance companies, provided the customer reference model. The data collection tool at this stage was a questionnaire. Then, in the second step and in the quantitative stage, in order to fit and test the obtained pattern, With Smart-PLS software, structural equation analysis and path analysis using partial least squares (PLS) method were used. The statistical population of the study at this stage was 1400 marketing and sales experts of insurance companies in Fars province who are actively involved in the sale of insurance products and services. Cochran's formula was used to select the sample size and therefore the statistical sample was determined to be 301 people.

It indicates that 4 categories of customer-related factors, company-related factors, customer satisfaction, nd customer loyalty lead to the formation of customer reference for insurance companies. The results also showed that customer-related factors (Customer experience of the company; Perceived value; customer interaction with the company; consumer hope; Confidence and trust of the customer and alternative attractions) can better than other factors in the formation of reference be an effective customer. According to the research results, customer-related factors as well as factors related to the company both lead to customer satisfaction and loyalty, and through this we can expect customer referral, and customer referral has significant consequences for insurance companies, including creating customer value will increase the value of customer participation, create a customer reference portfolio and promote the company's brand value. Therefore, customer-related factors and company-related factors can lead to the formation of customer reference for insurance companies when customer satisfaction and loyalty are first established and without it, achieving customer reference results and benefiting from them is not the way.

One of the biggest marketing assets of insurance companies is their current customers. Insurance companies can use the marketing potential of their existing customers without spending a lot of money on advertising for their new audience. Intense competition makes it harder to find new ways to sell more, and winning a competitive market requires seizing every opportunity. By emphasizing the identified criteria, insurance companies, while evaluating customer reference opportunities in the industry, can make the right decisions about how to take advantage of opportunities to increase competitiveness by gaining a competitive advantage. The influence of insurance and ultimately the economic growth and development of the country. Insurance companies can improve customer value creation attitude, customer appreciation and customer citizenship behavior, as well as strengthen customer longevity and referral value and customer knowledge by using customer reference. It can also improve the brand association, brand image and brand identity of the company in the minds of customers. Finally, reference customers can benefit from disseminating information related to service quality and recommending services word of mouth to other customers of the company.

One of the most powerful and yet unknown methods of finding new policyholders is customer referral. In the opinion of many experts, insurance referral sales or attracting insurance referral policyholders is the best way to sell insurance and the most powerful customer acquisition tool, so the insurance industry leaders have named it "referral miracle".

The current research was conducted with the purpose of explaining the pattern of influencing factors on customer reference in the insurance industry, using the Delphi technique. The population of this study consists of academic experts and senior managers of insurance companies that using the purposeful sampling method, 8 academic experts and 12 senior managers and expert experts of insurance companies and 3 marketers and sales experts, were selected as Delphi expert panel members. The tools of data collection in this research are library studies and Delphi questionnaire.

In this study, collecting data by using the library method, reviewing the texts and viewing done.  These data as factors related to the Customer referral, they were considered the basis of the Delphi method. Then, the Delphi questionnaire was sent to them in three stages to get the opinions of the expert panel members, and it was studied and revised.

The identified items were classified in the form of 5 categories of factors related to customers, factors related to the company, customer satisfaction, customer loyalty, and customer reference and were presented in the framework of the research model.

As we enter the third millennium, we witness rapid changes in technology and an increase in the complexity of environmental complexities. Under such circumstances, strategic management is widely used by most businesses to overcome uncertainties and withstand the onslaught of competitors. Meanwhile, the realization of visions, missions, and values and the competitive strategies of firms has become the main concern. This is because strategy development alone will not guarantee the success of the company. Unless these strategies are implemented; they will have no effect on the success and survival of the organization. Thus, the implementation of the strategy is far more important than the quality of the strategy. However, the challenges of strategic management lie in the implementation phase of the strategy more than the formulation stage. Therefore, the strategy execution and use of formal processes in strategy implementation management are critical to facilitating strategy implementation and achieving outstanding performance. In this research, strategy execution emphasizes translating strategies into action, aligning strategies with contextual variables, and managing strategic transformations. However, the readiness for strategy execution is one of the major scientific and practical shortcomings in effective strategy execution. The purpose of this study is to design and explain the model of strategy execution readiness based on a comprehensive and operational approach that fits the ecosystem of Iranian organizations. This is an applied type of research in terms of purpose. Due to the knowledge enhancement resulting from explaining the concept of strategy execution readiness, this research also has a developmental nature. It is done through exploratory, descriptive, and hypothesis testing sequences. The research seeks to establish the dimensions and components of measuring the readiness of strategy execution using an inductive -deductive research approach in the form of a combined exploratory research strategy. Thus, in the qualitative stage of the model design, the method of qualitative content analysis is used. In the stage of model testing and fitting, the structural equation modeling and the method of partial least squares are applied with the Smart PLS software. Also, the data are collected, analyzed, and modeled by theoretical sampling and interviews with experts in the qualitative part of the research and by random sampling and distribution of questionnaires in the quantitative part of the research. In this study, the theoretical foundations of the subject were reviewed, and the opinions of 21 experts in the field of holding were used. Also, based on qualitative content analysis and theoretical coding, a comprehensive and operational model was designed and explained. The results of the qualitative data analysis, which were validated by professors and academic experts, were presented in the four dimensions of leadership, human, organizational and strategic preparedness, along with 12 key components and 62 items. Also, the structural equation modeling method was used to evaluate the suitability of the proposed model of strategies readiness. The results of applying the methodology proposed in the present study demonstrate the acceptable fit and validity of the organization readiness model for strategy execution. Actually, the average value of redundancies related to endogenous factors in the model is equal to 0.39. Also, the significance level of T in all paths of the model is more than 1.96. In other words, in all paths, the obtained weights have a significant difference with zero, which indicates the correctness of the relationships among the dimensions. Thus, the research hypotheses are confirmed at a 95% confidence level. Finally, through the calculation of the GOF value, 0.63 was obtained. For GOF, this value indicates a strong overall fit of the model. Based on the data analysis algorithm, the strategic preparedness component as the most important component of the current preparedness and leadership was considered as the weakest preparedness condition in food products holdings. In order to increase the readiness of strategy execution based on the Delphi method, the most important executive initiatives were prioritized to establish corporate governance, to improve scenario planning, strategic issues and risks in leadership readiness, to coordinate communication policies, to visualize the vision in human readiness, to design forums, succession and participation rewards in organizational readiness, to establish better future research systems, to set up a thinking framework, and to implementat business intelligence and operational budgeting for strategic readiness. Application of the results of this research can improve the organizational readiness for strategy execution and make it possible to implement effective strategies and, consequently, embody visions, missions and values.

Communication and collaboration with customers to achieve performance improvement through Green Supply Chain Management practices are essential. This research was conducted to investigate the role of customer relationship goverance in the relationship between green supply chain management and environmental and economic performance of the company in Shiraz industrial towns.

Methodologically, this research is a correlation research. To measure the variables of the research, Zhou et al.'s questionnaire was used. The statistical population of this research is all managers and experts of Shiraz industrial city. The questionnaire was distributed randomly among managers and experts of Shiraz industrial towns and 205 questionnaires were selected for statistical analysis. In order to investigate the research hypotheses using Smart-PLS software, structural equation analysis and path analysis using partial least squares (PLS) were used.According to the results of the path coefficient and t statistics, Customer relational governance correlates the relationship between green supply chain management and the company's environmental and economic performance. Also, considering the path coefficient, it can be said that the effect of green supply chain management on the environmental and economic performance of the company is positive and significant due to the mediating role of customer relationship management, since the path coefficient is positive.

The results of the research show that Customer relational governance moderates and mediates the relationship between green supply chain management and environmental and economic performance of the company. Therefore, the efforts of companies to utilize green supply chain management to improve their environmental and economic performance are crucial for intelligent and informed choices for the proper development of customer relationship management mechanisms.

Export of high-tech products and services is a quick shortcut according to the development program goals, comparative advantages and current situations and requirements of Iran, which requires non-traditional methods, especially digital marketing. While many digital marketing variables require environmental stability and predictability, a significant number of variables and components have dynamic specifications and their optimization capability requires a nonlinear approach. Can paying attention to dynamic features accelerate and facilitate the achievement of digital marketing goals? What are its dynamics variables? New concepts have been identified and introduced in response to these questions in this article, which include: dynamic mix marketing, customer dynamics, dynamic environment, employee dynamics, dynamic economy, dynamic organization, dynamic financial support, dynamic life cycle and dynamic strategy Based on interpretive structural modeling, their role in optimizing the export of High-tech is confirmed to be effective. In this applied research, an attempt has been made to identify and classify 22 variables into nine components through inductive, scientific and combined methods in a pragmatic paradigm of four levels. The dynamic customer component in the model gained the highest priority. At the same time, the findings showed that the variables related to the components of dynamic organization, dynamic marketing mix, dynamic financing, employee dynamics and dynamic life cycle have a strong ability in planning to improve the effectiveness of the model, respectively.

This is a philosophical study with critical paradigm, using symbolic interactionism with fundamental orientation, inductive reasoning, the qualitative library-based approach, the Grounded Theory, meta-synthesis and the content analysis method. It aims to describe and explore the business excellence model and identify its variables and indicators based on a futuristic approach. Using the meta-synthesis and meta-analysis techniques, the methods involve open, axial and selective coding, resulting in a new concept. The required data were collected through a review and study of the documents on business excellence models. The study specifically focused on the models set forth in valid magazines and journals with the theoretical sampling logic in order to reach theoretical saturation. We used two long-term and holistic participatory strategies for validity, as well as two coders with agreement on open coding for reliability. We used the MAXQDA software for data analysis. The findings of this study were obtained from 101 conceptual models of business excellence and 869 concepts or open codes at the coding stage. Then the basic codes with the same meanings were divided into 24 major categories, which led to the creation of five dimensions at the selective coding stage and a theoretical concept with the dimensions of people, market, work, management, and underlying factors. This theory made an important contribution to the success of small and medium-sized businesses by taking into account the new paradigms for assessing businesses in the future.

The purpose of this article is to develop and genesis the ethical-oriented corporate branding model in the confectionary industry in Iran and to predict and innuendo the ethical-oriented corporate branding construct in an exploratory study. After identifying the corporate branding ethical constructs in a qualitative study in this research, by interviewing 14 connoisseurs and analyzing the data that acquired from the interviews using the theme analysis method, in a quantitative study and collecting information through a questionnaire of 202 confectionery and chocolate marketers, the partial least squares approach to structural equation modeling  has been used to estimate and calculate the relationships in the ethical-oriented corporate branding model. Also, employee based brand equity has been used as a variable of measurement for corporate branding of endogenous construct. Extracting the structural model of corporate branding by four corporate branding predictive constructs including Corporate Ethical Philosophy, Corporate Ethical Communication, Corporate Ethical Culture and Corporate Ethical Image and extracting the measurement model of corporate branding through 14 extracted variables to measure the constructs in a structural model are the results of this research.

This study is done to identify affecting factors on the improvement of online shopping with respect to the customer decision-making process. For this purpose, the literature review were used and then using interpretive structural modeling for defining relationships between affecting factors on the improvement of online shopping. To define these relationships, 16 expert opinions on management and information technology were taken. The results show that the model includes seven factors: Channel Quality, Website Quality, Product Features, Advertising, Transaction Quality, Customer Satisfaction and Online Shopping Improvement. Website Quality, Product Features, Transaction Quality have a fundamental role because of high driving power and low dependency. After that, Channel Quality, Advertising, and Customer Satisfaction are at the center of attention. Finally, the goal variable of study - improve online shopping- is placed the third level because of having lowest driving power and highest dependency.

Different developed export Models are based on the characteristics of the country of origin and destination, type of goods, relationships, facilitators and restrictions identified. Marketing is based on sales and exports, and digital marketing, using digital tools and channels, has transformed traditional marketing methods and accelerated and facilitated the achievement of its goals. Many variables of marketing require environmental stability and predictability, but some,due to their environmental complexity, can be optimized with smart tools. On the other hand, influence and strengthening presence in the market in Central Asia and the Caucasus, especially in high-tech, and fast-growing technology, require the use of new tools. So, can smart tools such as digital marketing, artificial intelligence, facilitate the exports target of high-tech? What are the variables? In this study, 10 components were identified that can meet this challenge: smart digital marketing tools, smart consumers, smart analysis, smart concepts, smart APPs, smart communications, smart-commerce, smart participation in knowledge production and smart transactions as well as cyber security. Based on interpretive structural modeling, this applied research identified and classified a 5-level model and a 4-sectorMICMAC matrix for 30 effective variables through inductive, scientific, and hybrid methods in paradigm-pragmatism. The most important component is smart intelligent analysis and it was found that the components of smart knowledge, smart communication, cyber security have the highest potential of growth in the export development model for Central Asia and the Caucasus for planning and decision making.

The ultimate goal of marketing is to meet the needs and demands of customers in a better way than competitors. The ability to understand how customers and consumers behave and how they make their decisions is a prerequisite for successful marketing goals. This study is done to identify affecting factors on the improvement of online shopping with respect to the customer decision-making process. For this purpose, the library method and literature review are used to identify the factors influencing improvementonline shopping. In the next step, using semi-structured interview with experts and performing qualitative content analysis method to classify and localize identified variables and indicators. Then the one sample t-test used to finalize the identified indicators. The result of the research shows that the obtained model includes factors: Channel Quality (task value, emotional value, social value, and perceived risk), Website Quality (security, information content, system performance, visual effects, and innovation), Product Features (price and variety), Advertising (WOM and environmental advertising), Transaction Quality (trust, accountability, and customization), and Customer Satisfaction; which are effective in improving online shopping.

The purpose of this study is to investigate the effect of customer-based brand equity on customer loyalty by considering the mediating role of customer satisfaction and trust (Case study: Bank Mellat ATM customers in Tehran). The present study is a descriptive research in terms of applied purpose and in terms of data collection. To analyze the structural equation modeling method, Warp Piels software was used. The present research community is Bank Mellat ATM in Tehran. The time of the present study is the first half of 1398. A questionnaire was used to collect data. The results showed that the special value of customer-based brand by considering the mediating role of customer satisfaction has a significant effect on customer loyalty and also the special value of customer-based brand by considering the mediating role of trust had a significant effect on customer loyalty.

Constant changes in the business environment compel companies to think about new product development. In order to meet customer needs, active engagement with the customer and, more specifically, customer involvement in the process of developing new product is essential. The purpose of the present research is to identify the effective factors on customer involvement in the process of new product development in the food industry of Mazandaran province. Six effective variables include organizational strategy, new product features, external environment, organizational features, customer attributes, and relationships. The purpose of this research, in the form of applied research and in terms of the implementation of research, is descriptive-causal research. The statistical population of the research is the managers of different parts of the food industry of Mazandaran province, including production, product, marketing, brand, and other parts of the organization. The data gathering tool was a researcher-made questionnaire. In this research, structural equation modeling (SEM) has been used to analyze data and examine the hypothesis. The results showed that the organizational strategy variables, organizational characteristics, customer characteristics and relational factors have a positive and significant effect on customer involvement in the process of new product development. While the two variables of product and environment characteristics have no significant effect on customer involvement. Therefore, according to the results, food industry companies should pay particular attention to strengthening these factors in order to attract more customers to develop new products.