Sustainable tourism has been a popular topic in tourism research. However, there are limited studies on tourists’ perspectives from the angle of sustainable tourism. This research intends to develop and test a destination loyalty model which introduces destination image in the form of the pillars of sustainability. Questionnaires were distributed to tourists at five tourist destinations in Shanghai. The analysis showed that tourist satisfaction fully mediated the effect of cultural image and partially mediated the effects of socioeconomic and environmental images on destination loyalty. Implications were derived from the findings and future research recommendations were proposed.

There has been increasing interest in coastal tourism, sparking a debate on the responsible environmental behavior of travelers visiting sustainable destinations. To mitigate this issue, destination marketing organizations (DMOs) and environmental activists are trying to develop strategic approaches (i.e., by using digital technologies) to enhance the sustainable behavior of travelers. Environmental responsiveness and its impact on sustainable destinations is gaining attention by companies, scholars, and institutions. However, the relevant literature has not addressed social media user-generated content regarding sustainable destinations. Sharing stakeholder knowledge, activities, and experience on social media could accomplish this goal. Hence, this paper aims to explore travelers′ responsible environmental behavior towards coastal tourism within the social media user-generated content paradigm. To measure the effect of user-generated content (UGC), i.e., cognitive triggers and affective triggers, on the responsible environmental behavior of travelers, a survey questionnaire was used to collect data (n = 506) from the world’s longest sandy sea beach, Cox’s Bazar, located in the Southern part of Bangladesh. The data were examined by structural equation modeling (SEM). The results revealed that cognitive and affective triggers of user-generated content influence travelers’ environmental concerns and attitudes, making a significant contribution to shaping responsible environmental behavior. Additionally, the findings show that environmental concerns and attitudes play a significant role in producing commitment towards a sustainable coastal tourism practice. This study contributes to the effectiveness of user-generated content for persuasive interactions with destination marketing organizations to develop sustainable tourism practices.

When addressing the ever-increasing role that social media plays in generating a clear image of the travel destination chosen by tourists, the research and specialty literature tends to be rather limited. Despite an increase in social media-generated content, the process is not yet fully understood, although research suggests the importance of two different factors (i.e., tour-operator-generated content and user-generated content) in influencing destination image formation. In this regard, the present paper aims to examine the most significant factors currently affecting the potential behavior of travelers towards the selection of sustainable destinations. What is more, another purpose of this paper is to explore the effects that tour-operator-generated content and user-generated content have upon the formation of the overall mediating destination image through cognitive and affective destination images. For the current analysis, a structural equation modeling (SEM) method was used in order to test the conceptual model. Data from Shanghai, China (n = 425) were used. The results demonstrate and establish that travel information sources (i.e., tour-operator-generated content and user-generated content) have a positive effect on destination image formation. The analytical results also revealed that in order to select a sustainable destination, travelers are influenced by tour-operator-generated content, as well as by user-generated content, with the effect of the latter being more important and influential. Travelers’ use of social media content has played a key role in the formation of the overall destination image through the mediating effect of cognitive and affective destination images. This research thus provides valuable theoretical and practical implications for academics and practitioners alike, implications which are valuable for the fields of destination marketing and management. Furthermore, practitioners of the management of sustainable destinations can thus make use of the results throughout the entire decision-making process.

Since the concept of artificial intelligence was introduced in 1956, AI technology has been gradually applied in various fields, including journalism. This paper focuses on research related to AI news anchors, and two correlated experiments are applied to examine audiences’ perceived attractiveness of AI news anchors from a psychological dimension. Study 1 focuses on the different variables that influence the behavioral willingness of AI news anchor viewers, while Study 2 focuses on the mediating and moderating variables that influence audiences’ psychological changes. The results indicate that non-humanoid female AI news anchors who use anthropomorphic voices to broadcast news obtain the highest perceived attractiveness among audiences. Additionally, the mediating effect of perceived attractiveness and the negative moderating effect on the inherent impression of traditional news anchors are both verified in the study. Based on the research findings, the implications and suggestions are addressed accordingly.

There has been an increase in research on sustainable urban development, especially in recent years, and importance-performance analysis (IPA) is one of the popular methods applied in sustainable development research. However, few have integrated IPA with structural equation modelling (SEM). This study developed and tested an integrated IPA and SEM approach to measuring the effects of the perceived importance of sustainable city dimensions and the perceived performance of a city on resident satisfaction and loyalty. A total of 388 survey responses were collected from the residents of Shanghai and analyzed using the integrated IPA-SEM approach. The results show that resident satisfaction mediates the relationship between overall perceived performance and resident loyalty, while the relationship between overall perceived importance and resident loyalty is mediated by both overall perceived performance and resident satisfaction. The findings from the SEM are in line with the IPA’s concept in that, to ensure resident satisfaction and loyalty, the quadrant that requires the most attention is Q1, while Q2 stands as the target quadrant. Implications and future research directions are proposed based on the findings.