حسین حکیم پور

Purpose: The aim of this study was to identify the effective factors and consequences of influencers' behavior in social media marketing. Methodology: The present study was applied in terms of purpose and in terms of data collection was a mixed research (qualitative-quantitative). The statistical community included academic experts and social media marketing experts in the qualitative section and all Instagram users in the quantitative section. The sample size was estimated in the qualitative part with theoretical saturation (20 people) and in the quantitative part based on Cochran's formula 384 people. Purposeful sampling was used to select the sample in the qualitative part and stratified random sampling was used in the quantitative part. Data collection tools were qualitative, interview and quantitative, researcher-made questionnaire based on a 5-item scale. The validity of the questionnaire was confirmed in terms of form and content by several experts, the validity was confirmed by the calculation of the slope and the validity was confirmed by the calculation of the square root of the AVE. The reliability of the questionnaire through Cronbach's alpha for the whole questionnaire was 0.86. Structural equation tests Using LISREL and SPSS software was used to analyze the data. Findings: The results identified 10 components and 63 indicators that 4 components influencing the behavior of influencers in social media marketing including influencer attitude, influencer identity, personal branding and important social events and 6 components of the consequences of influencer behavior in marketing Social media included influencer loyalty, follower persuasion, lifestyle, advertising effectiveness, follower awareness, and entrepreneurship. Conclusion: The results showed that 7 components were considered as factors in the behavior of influencers on Instagram, including attractiveness, reliability, content, reputation, expertise, credibility and nationality of the influencer.

This research was aimed at develop and validate an influencer behavior model in social media marketing. The statistical population in the qualitative section consisted of Academic and organizational experts including social media marketing experts. A sample of qualitative sample was used for purposeful sampling and in a small part of the compilation sampling. The data collection tool was interviewed in the qualitative section and in the quantitative section the questionnaire was used. Data were analyzed using confirmatory statistical analysis. The results identified 17 components and 90 indicators that 4 components of influencing the behavior of influencers in social media marketing. Finally, the research model consisting of influential and influential factors was presented and its degree of appropriateness was appropriate.

State banks must find a way to adopt a different strategy from other banks in providing customer service. An important and key way to create a competitive position is to differentiate services from other competitors that create a good image of the bank and its services in the minds of customers. A topic that has been addressed in the present study is the necessity for state banks, like other companies and businesses, to follow a suitable model in order to achieve a suitable position in the banking industry. In this regard, the purpose of this study is to design a model for positioning the services of state-owned banks and its validation. The data for qualitative stage were obtained from Keshavarzi, Melli, and Maskan branches' managers of Khorasan Razavi province and university professors in the field of management. The quantitative sample were also the customers of aforementioned banks, that due to their large number, 384 people from each bank were selected as a sample size by simple random method and Cochran's formula. In order to collect data in the qualitative part, Deleted part, the interview was used and in the quantitative part, a researcher-made questionnaire was used, which obtained validity with expert opinions and reliability with Cronbach's alpha of 0.77. In order to analyze the data in the qualitative part, grounded theory and the method of Strauss and Corbin and Maxquda software were used, and in the quantitative part, the structural equation technique and PLS2 software were used. The results showed that the model presented in 6 dimensions of causal factors,contextual, intervening, pivotal, strategies an consequences has a good fit.

Online social media is an important innovation that has attracted individuals and companies. The purpose of this study is to "develop an online social media marketing model about consumer buying behavior". This utilizes a mixed-method (qualitative and quantitative). This study uses the research literature to extract the indicators, then, finalizes them by the Delphi technique in three different rounds. The study develops the qualitative model of the research based on the opinions of 20 experts as well as the application of Interpretive Structural Modelling (ISM) and MICMAC analysis. In the quantitative part, the study uses the Partial Least Squares (PLS) technique to implement SEM, validate, and test the predictive relevance of the initial model. This study applies Cohen's formula and determines 460 individuals as sample. The sampling method is non-probability. Furthermore, the statistical population of the study consists of online social media users from all over Iran. In this study, 9 key factors have been identified, modeled and analyzed. According to the MICMAC analysis results, perceived security (with the highest driving power) is identified as the driving indicator, and value co-creation (with the highest dependence) is identified as the result or target indicator. The ISM based model is validated using SEM and 15 hypotheses were checked using SEM-PLS technique, also all hypotheses except the second hypothesis were confirmed. Finally The findings confirmed Goodness of Fitness and ideal predictive relevance of the model.

The aim of this study was to identify barriers to the implementation and use of Internet banking in Keshavarzi Bank. Due to the fact that qualitative data was first collected through study and interviews with experts, at different stages, different tools were used to collect the required data. In the first stage, data was collected through interviews with experts and systematic review. In the second stage, a questionnaire related to the content analysis method was evaluated. The statistical population of the study was 20 experts with master's and doctoral degrees and high work experience in banking management who were selected based on purposive sampling. The results show that, after reviewing the background and interviewing with 20 experts, 20 open source codes were identified by using theme analysis. The results of qualitative content analysis showed that 20 open source codes were important enough. Convergent validity was performed and the fit of the model was confirmed. However, it was found that the most important priorities were the inequality of the Internet banking system in the country's banking network, unpreparedness of the national information network, technological infrastructure problems used in websites, negative customer experience and their low trust, and fake and misleading sites. Banks should regularly update and retain their customers' communication gateway systems such as mailbox and digital and online space, to make customers more willing to receive Internet banking services in the future.

Purpose: The purpose of this study was to design an internal positioning model of state-owned banking services and accreditation. Method: The present study was applied and exploratory. The statistical population of the qualitative stage were the managers of the branches of agricultural, national and housing banks of Khorasan Razavi province and university professors in the field of management who were selected as the sample size by theoretical saturation method. According to Morgan's table, 284 people were selected by simple random sampling as the sample size. For data collection in the qualitative part of the interview and in the quantitative part of the researcher-made questionnaire was used. In order to analyze the data in the qualitative part, the theory of grounded theory and the method of Strauss and Corbin and Maxquda software and in the quantitative part, the technique of structural equations and PLS2 software have been used. Results: The results showed that the model presented in 6 dimensions of causal factors, contextual, intervening, pivotal, strategies and consequences has a good fit. Conclusion: Based on the research findings, they should pay attention to social and personal interactions in order to strengthen their relationships with customers.

This article was conducted with the aim of providing a model of acceptance of virtual banking in the banking industry of Iran. The method of conducting the research was based on the pluralism of the ground theory in the data, which according to conducting the research at first using library studies, identifying the constituent elements of participation after in-depth interviews with 20 professional and scientific experts, in order to extract the elements and Thematic analysis method was used to group them. The output of this stage was the identification of 111 indicators in the form of 5 main dimensions and 12 sub-dimensions. Convergent and divergent validity were used to determine the validity, and the results were at the desired level, and the results showed that in order to accept virtual banking in the banking industry of Iran, considering the current situation and the complexities of banking in Iran, a strategic plan regarding virtual banking should be prepared and compiled, which the attention of the authorities And those involved in this field are essential to the capacities of the private sector in banking activities and the expansion of banking facilities. But in order to solve the problems, pay attention to the organizational strategies that include the formulation of a strategic plan for the participation of the private sector and the use of control and evaluation tools to ensure the effectiveness of teamwork and partnership in banking, along with creating a working environment with trust and honesty among customers to improve communication. Personal and interpersonal among the participants can provide a sustainable basis for the adoption of virtual banking.

This study aimed to identify the factors affecting security and privacy in the development of virtual banking in Iran using a thematic pluralistic research methodology. First, the elements constituting cooperation were identified in a library study. Then, in-depth interviews were conducted with 20 scholars and academic experts to extract the elements and group them according to the theme analysis method. The output was the identification of 27 indicators in two main categories and six subcategories. The convergent and divergent validity methods were used to determine the validity whose results were optimal. The results show that the effectiveness of security and privacy in developing virtual banking in Iran depends on the development of a comprehensive plan and attention to the future needs of the banking system, which will create satisfaction. So, it is necessary to develop general policies for reforming the banking system in the future. Also, according to the experts, customers’ satisfaction with the quality of the banking services, their trust in these services, and the ease of using them are the strengths of the virtual banking services and can be handled for attracting more customers and improving competitiveness in the virtual banking industry. On the other hand, customers’ need for e-services in the modern world is unavoidable. In cyberspace, the e-services of banks have become one of the fastest and most valid ways of financial transactions whose key requirement is trust in these services.

Purpose: The purpose of this study was to prioritize the factors affecting consumer-buying behavior in online social media marketing.Method: The analysis and validation of indicators were conducted using the mixed method of structural equation modeling and partial least squares. Additionally, the IPMA matrix was utilized to determine the importance and type of performance of each factor. The research data were influenced by consumer information, predominantly consisting of women with a master's degree aged between 36 and 50 years. The study employed a non-probability sampling method common for online surveys, and 466 individuals were examined using Cohen's effect size formula.Findings: The research findings indicated that consumer engagement was the most important factor, and ease of use exhibited the highest level of performance in the overall social media model. Furthermore, consumer engagement was identified as the most important factor, while electronic word-of-mouth (EWOM) demonstrated the highest performance level on Instagram. Conversely, EWOM was deemed the most important factor, with consumer engagement displaying the highest performance level on Telegram. These results can be utilized by marketers to influence consumer purchasing behavior and craft online marketing strategies accordingly.Conclusion: Companies utilizing online social media platforms are advised to enhance consumer engagement and performance by implementing short-term techniques and effective strategies, such as incorporating online chat functionalities in the user environment. Instagram, being the most widely used social media platform and an online shopping hub for consumers, showcased acceptable performance in terms of consumer engagement. Hence, companies need to take measures to elevate performance levels to match their importance. In the case of Telegram, EWOM emerged as the most crucial factor among others, with a commendable performance rating. Businesses can bolster their Customer Relationship Management (CRM) units and enhance WOM initiatives to the fullest extent possible.