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This study is aims to identify and categorize the perceived risks of Chinese tourists (from mainland China) traveling to Tehran. In addition, this study investigates the relationship between these risks tourists’ information seeking behavior.

This study investigates the relationship between these risks tourists’ information seeking behavior. The research also tries to model the relationship between the explored perceived risks and tourists’ information-seeking behavior. To collect data, a researcher-developed questionnaire containing 24 questions was designed based on a literature review. Before collecting the data, the validity and reliability of the questionnaire were reviewed and confirmed. To do study procedure, one essential question and two hypotheses, including exploratory factor analysis, stepwise regression and independent samples T-test, are used.

The results showed that Chinese tourists perceived health, physical, political, cultural, social and economic risks before their trip (with political risk being the most prominent). Also, the results indicate that the tourists have used different ways to collect information about Iran in general and Tehran in particular. Those travelers who perceived a higher risk were more likely to use the information sources that provide them with detailed and accurate information before traveling to Tehran.

This study provides valuable insights for destination managers and tourism marketers to attract Chinese tourists by considering their perceived risks and information-seeking behavior. It should be noted that this study is not without its own limitations. These limitations include (but are not limited to) the timeframe in which the data was collected (prior to the outbreak of COVID-19) and the destination (Tehran, Iran). Therefore, it is advised that future researchers study the perceived risks and information sources in other parts of the world.

The concept of perceived risk was used in Chinese tourists’ behavioral seeking to predict their future behavior following their perceptions. Thus, the findings of this study will be necessary to local governments and other destination organizations when building successful strategies.

As tourism development is an unquestionable part of every national growth policy, this study aims to introduce an integrated method employing MICMAC analysis for understanding the key strategic variables of Iran's tourism development system.

The structural analysis with MICMAC method was used to determine the classification of variables, aimed at structuring ideas to deal with complex decision-making and help planners and policymakers formulate future-based strategies.

The cross-impact matrix was used to identify the development variables having the greatest impact on the development of Southeast Asian tourism to Iran. The results showed that among 43 variables, 10 have great potential as key variables in the future of Iran's tourism development.

MICMAC, as a structural analysis technique, is regarded as being the most appropriate to identify the key variables in the development of the Iranian tourism system. The limitation was that the other tourism markets, apart from ASEAN tourists, and the tourism demand-side were excluded from this study.

The present study indicates that identifying key factors that influence the supply side of Iran's tourism system is worthwhile. Consequently, the findings show how these key factors can play a vital role in long-range economic sustainability and lead to the development of Iran's tourism market to enhance globally its competitiveness as a destination to attract international ASEAN tourists.

This study is one of the first papers to focus on the development of Iran's tourism market from a supply-side through structural analysis. Its findings are valuable as they can be used by the tourism authorities in the process of developing future tourism scenarios for Iran.

The purpose of this study is to demonstrate that unsustainable revenues in municipalities are short term and may have an adverse effect on urban systems. Focusing on stable financial resources can reduce such adverse effects. According to the legal obligations of municipalities in the creation of sustainable revenue, developing tourism-based activities in municipalities can play a significant role in providing a sustainable income.

This study aims to assess the positive effects of economic opportunities related to tourism for the municipalities in Iran’s large-scale cities and to identify the hidden opportunities of tourism. Also, from interviews and analysis of themes based on the situation, task, action, result model, tourism opportunities have been extracted and classified.

As a result of this research, hidden income-generating opportunities of urban tourism have been identified for municipalities, including those depending on situation, tasks, actions and results. For each of these categories, strategies for the realization of tourism opportunities are presented. Tourism’s hidden opportunities include those relating to organizational aspects, tourism planning, tourism diplomacy, handicrafts, health tourism, event tourism and urban tourism marketing.

By taking advantage of these opportunities, income generation, employment and urban management will be improved in the municipalities.

The purpose of this paper is to identify and prioritize the positive and negative impacts of tourism on the process of tourism growth at a national scale in Iran, by taking into account the reviews of previous studies, views of experts and structural analysis.

In this investigation, structural analysis technique has been used to identify the correlation between variables by using mix method data analysis. By using cross-impact analysis (N × N integer matrix) in the form of the Micmac method, the economic, sociocultural and environmental factors have been evaluated.

The results of the distribution of factors in the coordinate axes and the graphs between them indicate their features, and for reaching a sustainable system of tourism development, at first, priority should be given to the negative influential factors, especially the environmental fields, and then the focus should be on the decrease of the dual and risk variables as they cannot be anticipated.

For the rapid growth of tourism in many countries, governments ensure that policies have been heeded in designing and preparing general plans of the country to understand how the development trend is moving on. In this respect, arisen impacts of tourism system are one of the important issues during the development path and in the field of tourism future. Because of the complexity and broadness of tourism activities, these impacts have also many interconnected dimensions that should also be considered while studying tourism impacts.

Despite wide acknowledgment in research of the benefits of customer engagement to firms, the customer engagement process and how it leads to positive marketing outcomes remains underexplored. Extending existing research, this paper aims to develop and test a conceptual model that outlines the effect of passive and active customer behavioral engagement on customer loyalty and the role of customer involvement in the process, as both an antecedent and a moderator.

Data collected from 362 millennials in Johannesburg, South Africa through a scenario-based experiment was submitted to a partial least square structural equation modeling and moderated-mediation analyses after examining the manipulation effectiveness of the experimental scenarios. The unit of analyses is hotel patrons.

The findings include customer involvement is a significant predictor of passive and active customer behavioral engagement both of which consequently influence customer loyalty; customer involvement moderates the effect of passive engagement on active engagement; and not only is passive engagement indirectly related to customer loyalty through active engagement, the indirect relationship is the strongest at the highest level of customer involvement.

The current study provides notable insights into the relationship between customer involvement, customer behavioral engagement and customer loyalty. However, there is need for further studies to validate our model across different brand categories and different social media platforms as well as in offline settings with a more diverse sample because the scope of this study is limited to millennials that use Facebook brand communities.

This study contributes to the customer engagement literature by rationalizing and demonstrating the importance of customer involvement as a precursor of the behavioral engagement process (comprising the passive and the active components) and loyalty among hotel patrons.