No abstract

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Originality/value 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.

Purpose This paper reports the results of research that examines the interrelationships between efficacy of sustainability values (SV) and pro-sustainable behaviors of potential tourists. A partially mediated model is postulated and tested to help explain additional error variance in predicting consumers’ destination choice decisions in tourism, hence voiding a critical research gap. Coined as the “environmentally intellectualist behavior,” a new mediator variable is tested to explain additional error variance in human-value models. Design/methodology/approach The study is based on data collected from two representative samples of potential tourists from the USA and Canada. Data analyses include exploratory and confirmatory factor analyses that were used to examine the underlying domain structures of SV, followed by a predictive model using structural equation modeling. Findings The study findings suggest that values are salient factors that underlie pro-sustainable tourism and travel behavior. Moreover, the results confirm the existence of a higher-order sustainability construct. The study contributes original insights to the field by demonstrating that there are direct and indirect positive relationships between SV, environmental behaviors and decisions of consumers who take a pro-sustainable stance when traveling. Originality/value By modeling values as antecedents to attitudes and testing interrelationships between SV and the mediator variables coined as the environmentally intellectual behavior, the authors developed and tested a predictive model to explain destination- and product choice decisions. The model tested herein advances the value theory in two fundamental ways: first, this study demonstrates that SV can be modeled as higher-order factors. Second, values are antecedents to attitude and other variables, therefore must be included in consumer behavior models. Finally, the culture or origin of tourists matters when examining the impact of values on tourists’ choice decisions. Political actions and environmental attitudes can be modeled as mediators to explain additional error variance.

No abstract