مطالب

Purpose: The aim of this study is to model a citizenship education curriculum for students with special needs for digital citizenship education.Method: The qualitative methodology of the grounded theory approach has been used. The statistical population is experts and specialists in special curriculum planning and experts of exceptional organizations. Sampling was performed using the non-probabilistic judgmental (targeted) method. Interviews were conducted with research samples. To sample, the snowball method was used and the interview was conducted in a semi-structured manner with open and general questions for up to 15 people to saturate the data, but for more assurance, up to 24 people were interviewed. Finally, the factors were identified using the foundation data technique using Atlas ti software. An in-depth interview was used as the main data collection tool at this stage.Findings: Based on the obtained results, a total of 106 concepts and 21 categories or open-source codes were identified and extracted. The 21 identified categories were divided into 6 main datasets of the foundation.Among the identified factors, the axial coding paradigm was performed and based on that, the linear relationship was determined between research categories including causal conditions, axial categories, contextual conditions, intervening conditions, strategies, and consequences.Conclusion: The results show the importance of the content of citizenship education and training methods. Regarding teaching and learning methods, the formation of informal groups and monitoring of the activities of groups, learning in practice, and student-centered and participatory teaching methods are emphasized.

Purpose: This research aims to design and explain the process model of content marketing with the approach of strengthening the customers' purchase intention in the field of Keshavarzi bank services.Method: This research is applied in terms of purpose, exploratory in terms of approach, and mixed (qualitative-quantitative) in terms of data analysis. In the qualitative phase, a group of experts was considered as the statistical population including senior managers of the Keshavarzi Bank, university professors in the field of marketing, and marketing consultants familiar with the banking industry. In this phase, using a targeted non-probability sampling method, 11 experts were selected and interviewed in depth. In the quantitative phase, the customers of the Keshavarzi bank in Ahvaz were considered as the population, and out of them, 400 people were selected as a statistical sample based on the available random sampling method. The main tool of data collection in the qualitative phase was in-depth and unstructured interviews with experts. In the quantitative phase, a closed and researcher-made questionnaire consisting of 42 items was used as the main tool for data collection. In the qualitative phase, the data from the questionnaire was analyzed based on the grounded theory method (open, central, and selective coding). Content validity and reliability were obtained with Cronbach's alpha coefficient of 0.7. In the quantitative phase, SPSS and LISREL software were used to perform descriptive and inferential analyses.Findings: The findings showed that the content marketing process model included 14 categories  including causal factors (emphasis on ethics in the design of advertising message; emphasis of advertising message on competitive advantages; persuasive power of advertising message; the power of advertising message to create needs in the customer), contextual and environmental factors (adjustment of the message with the culture of the society; the general inclination of the society to use social media), the main category (attracting the customer's attention to the content of the promotional message and the services of the Keshavarzi bank), Intervening factors (use of specialized media to spread advertising messages; following the example of world-class banks in digital content production), strategic factors (stimulating customers to pass the promotional message by word of mouth; systematic and viral dissemination of the promotional message through digital social media), the consequences (increasing the intention to purchase the services of the Keshavarzi bank; strengthening the brand of the Keshavarzi bank; increasing loyalty to the Keshavarzi bank).Conclusion: The results of the research led to the design of a content marketing process model with the approach of strengthening the purchase intention of customers in the field of Keshavarzi bank services (based on the structure of the paradigm model). The hypothesized relationships of the model were tested and verified in a large community.

Fog computing is considered a promising solution to minimize processing and networking demands of the Internet of things (IoT) devices. In this work, a model based on the energy consumption evaluation criteria is provided to address the deployment issue in fog computing. Numerous factors, including processing loads, communication protocols, the distance between each connection of fog nodes, and the amount of traffic that is exchanged, all have an impact on the re-search system's overall energy consumption. The power consumption for implementing each com-ponent on the fog node as well as the power consumption for information exchange between the fog nodes are taken into account when calculating each fog node's energy use. Each fog node's energy consumption is closely correlated to how its resources are used, and as a result, to the average normalized resource utilization of a fog node. When the dependent components are spread across two distinct fog nodes, the transfer energy is taken into account in the computations. The sum of the energy used for transmission and the energy used for computational resources is the entire amount of energy consumed by a fog node. The goal is to reduce the energy consumption of the fog network while deploying components using a novel metaheuristic method.  Therefore, this work presents an enhanced water strider algorithm (EWSA) to address the problem of deploying application components with minimum energy consumption. Simulation experiments with two scenarios have been conducted based on the proposed EWSA algorithm. The results show that the EWSA algorithm achieved better performance with 0.01364 and 0.01004 optimal energy consumption rates.

This paper proposes a model for managing sustainable intercultural communication in the tourism industry of Iran and Oman, with a focus on the role of media. The study employed the grounded theory method and paradigm model, using in-depth literature review, background analysis, and interviews with relevant experts to answer research questions. The coding process involved open, central, and selective coding techniques. The model identifies the need for a combination of Bourdieu's capitals to achieve sustainable management of intercultural communication through the media, and emphasizes the importance of accepting globalization as a platform for positive changes in tourism. The model also highlights the need for institutionalizing the role of the media in sustainable intercultural communication, and developing the concept of tourism as hot and cool media. Other key factors include the development of regulations in proportion to contemporary world requirements, training of managers and citizens, and the need for stable intercultural relations. The model proposes action strategies such as extensively using media to develop regular intercultural ties, and the application of technology as a tool for sustainable development of tourism and social media. The proposed model explains the role of virtual media in improving sustainable intercultural communication management in the tourism industry, and could aid in optimal employment of virtual media in this field.