فریز طاهری کیا

The objective of this research is to investigate the impact of employing gamification strategies and the explainability of artificial intelligence on brand engagement within social networks. This study is practical in its aims, descriptive and survey-based in its methodological approach, and subscribes to a positivist research philosophy with a deductive reasoning approach. Utilizing a mixed-methods research design, this investigation includes a systematic review of relevant literature coupled with a quantitative analysis of data. In the qualitative component, a meta-analysis of antecedents and consequences of brand engagement on social networks was conducted using CMA 2 software. The quantitative section assessed the impact of a gamification campaign and AI explainability within a food company, before and after the campaign's implementation. Data collected included the number of likes, comments, and replies to each comment, which were analyzed using natural language processing techniques and the BERT algorithm. To predict the effects of these strategies on brand engagement, optimized random forest models were employed, demonstrating their capability to discern complex patterns and enhance predictive accuracy. The results indicated that campaigns utilizing gamification and explainable artificial intelligence significantly increased user engagement, particularly in areas of interaction and the creation of active virtual communities. The analyses conducted revealed a positive influence of gamification on strengthening trust and loyalty towards the brand, as well as the effect of explainability in enhancing customer understanding of content and decision-making processes. This research can provide valuable insights for developing innovative marketing strategies and strengthening brand communications.

A B S T R A C T
Tourism development has different social, economic, and cultural results. In the meantime, one of the important topics of the growing trend in tourism destinations is the increase of tourists and their stay, along with efforts to provide suitable environmental and human conditions. Therefore, the desire of tourists to stay longer is considered an important indicator in evaluating the ability of tourist destinations to properly exploit the benefits of tourism. In this research, an attempt was made to analyze and investigate the factors affecting the stay of tourists in the city of Tehran. The present study is applied in terms of purpose and descriptive-analytical in terms of method. The statistical population of this research is tourists entering Tehran. In order to determine the sample size, due to the lack of statistical population, Cochran's formula for the unlimited population was used and the sample size was estimated at 384 people. The validity of the research tool was calculated using the confirmatory factor analysis model, and its reliability was calculated using Cronbach's alpha. Data analysis was done using SPSS and LISREL software with descriptive statistics and structural equation modeling. The findings showed that the quality of services has a significant effect on the permanence of tourists in Tehran. The path coefficient obtained is equal to 0.41, and travel motivation has a significant effect on tourists staying in Tehran. The obtained path coefficient value is equal to 0.47. Another result of this research is that the characteristics of the trip have a significant effect on the permanence of tourists in Tehran, and the value of the route coefficient obtained is equal to 0.38.
Extended Abstract
Like many cities in Iran, Tehran has potential capacities and numerous natural, historical, and cultural attractions, and tourism development can be very helpful. However, it will be possible to achieve the benefits of tourism when the appropriate platform, i.e., social infrastructure and civil institutions related to it, is provided. Studies show that the metropolis of Tehran is among the cities that have continuously increased the number of domestic tourists. Nevertheless, the average stay of tourists has decreased, so according to the statistics, the average stay of tourists in this city has decreased from 6 days in the 80s to less than 3 days in recent years. The decrease in the number of tourists in Tehran means that this city does not reap many benefits despite spending a major part of the city's budget on providing services. By understanding the above, the main question of this research is as follows:-What are the effective factors in keeping customers (tourists) in tourism destinations?
 
The current research is applied in terms of purpose and descriptive-analytical in terms of method. Library and field methods were used to collect data. The statistical population of this research includes domestic tourists who have chosen Tehran as their tourist destination in order to spend their free time. Cochran's formula was used to determine the sample size for the unlimited population, which was estimated to be 384 people. The sampling method was simple random sampling. A questionnaire was used to collect field data. SPSS and LISREL software were used to analyze the research data.
 
Concerning the first hypothesis of the research, which states that service quality has a significant effect on tourists staying in Tehran, the path coefficient (0.41) has been estimated. Also, the value of the obtained T statistic is equal to 3.35 and is more than 1.96. Therefore, this path coefficient is
 
 
significant, and the hypothesis of the research is confirmed. it can be said that the quality of services has a significant effect on the permanence of tourists in Tehran. In explaining the results of this hypothesis, it can be said that tourism services are considered one of the main elements in the development of the urban tourism industry. Thus, paying attention, planning, and allocating the necessary budget in this field is an inevitable necessity in relation to the second hypothesis of the research, which states that the motivation to travel has a significant effect on the permanence of tourists in Tehran. The path coefficient (0.47) is estimated. The value of the obtained T statistic is equal to the obtained 3.55 and more than 1.96. So, this route coefficient is significant, and the hypothesis of the research is confirmed; it can be said that travel motivation has a significant effect on the permanence of tourists in Tehran. In explaining the results of this hypothesis, it can be said that Crompton related the motivation to travel to the driving factors to the need for travel and argues that these factors lead to the pulling factors that are related to the choice of destination. Many researchers agree on the issue that there is a connection between the main motivations or the reasons for the driving factors and the permanence of the destination. They have also noticed in their studies that the average permanence time is longer at the destination on trips to visit family and acquaintances. This result is generally obtained due to the lack of accommodation costs, which allows people to stay in the destination and prolong it with a similar budget and cost. In connection with the third hypothesis of the research, travel characteristics have a significant effect on the permanence of tourists in Tehran; the path coefficient (0.38) has been estimated, and the value of the obtained T statistic is equal to the obtained 9.95 and is greater than 1.96. Therefore, this route coefficient is significant, confirming the research hypothesis; it can be said that the trip's characteristics significantly affect the permanence of tourists in Tehran. In explaining the results of this hypothesis, it can be stated that Wu and Carson (2008) found in their studies that international travel has a positive relationship with the permanence of tourists compared to national travel. The type of accommodation has a direct effect on the length of stay of tourists, so accommodation in the homes of friends and acquaintances or free accommodation increases the length of stay of tourists while staying in hotels decreases the length of stay. Due to economic limitations, the durability also decreases with the increase in the size of the travel group.
 
The results of this research showed that service quality has a positive effect on tourist' retention; according to the value of the obtained path coefficient, which is equal to 0.41, based on the value of the obtained path coefficient, the impact of service quality on tourists' persistence is evaluated as average. Also, this variable can explain 16.8 percent of the dependent variable's variance, i.e., tourists' persistence. Among the other results obtained in this research was that travel motivation has a significant effect on tourist' retention. Also, according to the value of the path coefficient obtained, the travel motivation variable is able to explain 22% of the variance of the tourist retention variable.
 
Funding
There is no funding support.
 
Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific consultants of this paper.

This research was done with the Strategies and measures related to competitive advantage with the mediation of environmental factors and operational capabilities of the organization in the clothing industry. The statistical population includes 15 experts and managers of clothing manufacturing companies who were selected in a non-random way. The main tool of data collection is semi-structured in-depth interview. After confirming the reliability and validity of the interviews, a qualitative analysis method with a data base approach was used using MAXQDA software, and then, based on the findings of this stage, the research model was developed. Next, in order to explain the model based on the findings of the qualitative method, the initial questionnaire in the quantitative part of the design, validity and reliability of this tool was reviewed by referring to the opinions of experts and managers and approved after the corrections. The statistical population in the quantitative section, the customers of clothing products in Tehran and the statistical sample, according to Morgan's table, a sample consisting of 384 people was selected and distributed and collected by available sampling method. Analysis and processing of quantitative data was done with the help of PLS software. Coding has been done in three stages: open, central and selective coding. Based on the obtained paradigm model, the research in the apparel industry in three categories of central phenomenon (competitive advantage), strategies (company planning), intervening conditions (competition management factors) were identified.

The purpose of this research is to provide a customer experience management model in the field of innovation in providing car assistance services. The current research is fundamental and by using a mixed approach, it has sought to provide a customer experience management model in the field of providing car assistance services. According to the results of the research in the qualitative part, the findings of the interview and coding in six categories include causal conditions such as experiential brand, understanding the needs of customers, the variety of customers' golden card, the desire to market and monitor competitors, and background conditions such as fulfilling obligations on time. The company, sales of mobile aid subscriptions, aid workers, adjustment of golden subscription costs, strategies such as preventing unauthorized users, increasing sales with the 400250 program, providing on-site service, a pleasant experience of having an aid card and a strategic perspective, and intervening conditions such as repurchasing an aid card. Long-term relationship with customers, dependence on the company, increasing advertising, loyalty to purchase, brand credibility, social responsibility and consequences including improving the service process, managing brand value creation, trying to create a great experience, creating experience, improving satisfaction with the performance of Iran Khodro. is a brand evaluation program. In the quantitative part that is presented to evaluate the paradigm model, the findings from the researcher's questionnaire showed that all the factors identified in the qualitative part are effective on customer experience management.

Social marketing is a strategic tool in line with the social responsibility of organizations and influences the attitude of customers. This issue is especially important for large and non-profit organizations whose purpose is to serve the society. Therefore, the current research was conducted with the aim of designing a social marketing model with the role of social responsibility and customers' attitude towards the brand in the country's social security organization. The present research is an applied-developmental research from the point of view of its purpose, and in terms of its nature and form of implementation, it has been carried out in a descriptive-survey manner. The statistical population of this research includes theoretical and experimental experts (marketing professors). Sampling was done using a non-probability and purposeful method and finally 16 people participated in this study. The research data collection tool is interview. Data base theorizing method was used to analyze semi-structured interviews. Research data analysis was done with MaxQDA software. In the open coding stage, 236 codes were identified, and 6 paradigms, 9 main categories and 39 indicators were obtained with the considerations. The central phenomenon in this study is social marketing, and customers' attitudes towards the brand are the causal and influencing conditions of this phenomenon. Social responsibility provides the governing platform and background factors, and organizational change management is also an intervening condition. Finally, through strategies such as customer experience management, service development and empowerment, achievements such as brand value creation and customer satisfaction can be achieved.

The purpose of this research is to design a green marketing model with the foundational data theory method. With a comprehensive approach and a qualitative research method derived from the theory of Strauss and Corbin (1998), this article examines and presents the green marketing model in Snowa Company. The sample size for interviewing experts was finalized in the framework of theoretical saturation, and the foundation data theory strategy including open, central and selective coding and also the basic model of this theory was used to develop the model extracted from the article. The findings led to the identification of causal conditions, contextual conditions, intervening conditions and evaluation dimensions to present the green marketing model. The results of the research showed that the effective causal factors in green marketing include: ecological changes, the state of green economy, changes in technology and marketing, attention to the development of sustainable capital. Also, the effective strategic factors of the green marketing strategy and the formation of the green committee to preserve the environment and develop sustainable marketing and strategic planning and evaluation and paying attention to the customer's needs are appropriate to the situation. Also, the effective consequences include social and environmental sustainability and optimal performance and efficiency of green marketing and development of social sustainability and development and prosperity of green interactive economy and quality in innovation of green products.

 By using digital health marketing, non-profit organizations, as the custodians of communicating between benefactors and those in need, can direct their marketing activities in a direction that will reach more supporters and benefactors and explore the good intentions of benevolent compatriots to help those in need. Build Therefore; the main goal of this research is to present the digital health marketing model in obtaining the support of donors from non-profit institutions.

 This study was conducted using a qualitative method of the grounded theory type. For this purpose, experts related to health marketing were used, including professors of marketing ethics, all experts of Akram, Mohsenin and people's partnerships of a non-profit organization and the sampling method was snowball and targeted until saturation was reached. Data analysis was done using the method of Strauss & Corbin (1998). Validation of the research findings was expressed with the four criteria of Guba & Lincoln (1985), which were measured and confirmed through the tests of acceptability, transferability, reliability and verifiability.

Ethical Considerations: 

The participants in this research were aware of the topic and the method of conducting the research and their presence was informed, free and voluntary.

 Based on this, by conducting interviews with some experts, 67 concepts directly or indirectly related to digital health marketing in obtaining donor support have been identified in 18 main categories, based on the data base paradigm model, in the form of six causal dimensions or the development of digital technologies (compatibility, ease of use, usefulness), central phenomenon or support (informational support, emotional support, social support), strategies or trust building (trust in institutions, trust in digital technologies, trust leading to donation), background factors (knowledge, resources, education), intervention or demographic characteristics (age, gender, education) and outcomes or trust building (opportunity, desire, performance) were structured.

 Digital health marketing is the missing link in attracting donors and sponsors. By using digital health marketing, non-profit organizations can direct their marketing activities in the direction of reaching more people and supporters. The set of advantages of digital technologies for donating is effective and causes the desire to use digital health marketing tools and tactics in obtaining the support of donors.

This research investigates the main factors that influence green marketing in Iran’s oil industry that can result in sustainable development, based on expertschr('39') opinions. The methodology of this research is grounded in theory and adopts a qualitative research approach.  We use semi structural deep interviews to collect our data.  We analyze the data using three stages of coding: open, axial and selective coding.Our results show that  we need to implement green marketing in the energy sector, as soon as possible, in order to protect people’s health and the environment.  The main factors that affect green marketing include: political, social and economic factors, existing conditions like organization and lack of technical knowledge, energy efficiency, core energy policies, technology, human resources, investment, and culture. We conclude by stating that sustainable development can be promoted through implementing green marketing in the oil industry.

In this study, attempts are made to recognize effective factors in enhancing the intension to use online stock trading application by real investors via combining the models of reasoned action and decomposed theory of planned behavior and merging it with dimensions of online stock trading. Questionnaires designed and ditributed between 300 people attended in Tehran Stock Exchange and agah broker firm. In order to determine the validity and standardization Exploratory and confirmatory factor analysis methods are used. The reliability of the survey is calculated 0.89 by Cronbach alpha. This research is applicable, descriptive, survey and correlational. The research Conceptual model of structural equations modeling was confirmed by using of the LISREL software. The findings represent that, based on structural equation modeling, attitude and subjective norm will affect the behavioral tendencies. Also, there is a positive and significant relation between perceived usefulness and ease of use and the attitude and between subjective norm to injunctive norm.

This research focuses on the retailing communicative attempts performed by a retailer including direct mail, preferential treatment and tangible rewards on the key communicative marketing results such as trust, relationship commitment and behavioral loyalty in Tehran Hyper-star store. By random sampling of 222 people as customers in the above store, the research tests 5 hypotheses by modeling structural equations. According to the results of this research and the history existed in different countries, it can be said that retailing communicative attempts are one of the most important ways to attract, affect on the faithful customers and encourage the common customers. Consequently, the managers and employee of the retailing firms need to be trained, motivated and encouraged to do communicative attempts for common and regular customers.

One of most discussion in marketing & consumer behavior, is an important subject, is choice & selection of product & buying behavior. Behavioral scientists make an effort to create in behavior models. In this research, it is inspected that variables like time available, money available, shopping enjoyment, & impulse buying tendency as latent variables (independent). The influence positive affect, negative affect, in- store browsing. These variables influence to urge to buy impulsivity & at last this variable influence to impulse buying. It is designed a questionnaire with 58 qustions & compute reliability in 2 stage. Because it needs to change some sentences. It is asked from 496 customers in 20 shopping mall in Tehran, & used spss 16 & lisrel 8.3 to analysis data. In first phase of analysis, it is used to conformity factor analysis in respect to confirm the relations between variables, then it is used with common factor analysis to reduce questions, & next phase, & it is used to exploratory factor analysis to explorer of new relations between variables. If it is compared that between result from Beatty & Ferrell (1998) & result from this research, it is notice that although this model is respectable, but some relation is not similar to previous researches articles. One of these relation that is significant, is between impulse buying tendency & impulse buying. On the other h&, one of them is significant, but effect is reverse. It is established questioneree & a model that suitable for impulse buying in Tehran- Iran.