درخت حوزه‌های تخصصی

This research aims to identify the factors that influence the growth of cultural tourism in Iran and propose a corresponding model. Following the identification of these factors, a scenario is written to optimize their utilization. The research employs a combination of qualitative and quantitative methods to achieve its objectives and finalize the factors. Semi-structured interviews are conducted with experts in the field. In the second phase, after the formal validity of the factors is confirmed, their fuzzy cognitive mapping and scenario are designed using the FCMapper and Pajek software programs. As the results show, the factor of “creating investment opportunities and attracting financial resources in the field of cultural tourism” is the most influential, while the factor of “providing diverse and creative services in Iran’s cultural tourism” is the most impressionable for the development of cultural tourism in Iran. In the task of scenario writing, it has been discovered that, by focusing on attracting financial resources, managers can enhance the infrastructure, create a context for interaction with other countries, identify new target markets, and offer creative services to Iranian cultural tourists through diverse tours. The findings can help stakeholders, managers, and policymakers in Iran’s tourism industry design and develop plans and strategies for the growth of Iran’s cultural tourism

Purpose: Economic and social status play a prominent role in many human activities and their  function is accentuated in the theory of the knowledge gap. According to the idea, the knowledge of the people with higher socio-economic status increases compared to those with lower socio-economic status. The purpose of this study was to determine the role of socio-economic status (based on knowledge gap theory) in the information-seeking behavior of fellow members of staff at  Qom University.Method: The study was an applied research in terms of purpose and in terms of strategy and data collection was correlational. The population consisted of 761 university employees. Based on Cochran’s formula the sample of the study included 255 employees. A researcher-made questionnaire was used to collect data. Spearman and X2 statistical tests were applied to analyze data.Findings: People who have a higher socio-economic status (with higher employment, income and education levels) are more motivated to search and obtain information, and there is a significant relationship between the components of individuals' socio-economic status and the type of the used information resources. Socio-economic status affects the criteria for evaluating information resources, and people with higher rate use various evaluation criteria while assessing the information. People with socio-economic status use various and different channels to obtain information, thus, there is a positive and significant relationship between the use of search engines and meta-search engines, internal and external databases, conference papers, library RSS, specialized social networks, consultation with librarians and technical blogs, and their socio-economic status.Conclusion: The social and economic status explains and predicts the information-seeking behavior of the staff and the results confirmed the theory of knowledge gap. Prediction of the facilities required for searching and seeking information in organizations and making them accessible to all human resources can help provide fair access to information for the better part of society and reduce the knowledge gap.